\r\n\tThe protection of biodiversity is a major target of the European Union Marine Strategy Framework Directive, requiring an assessment of the status of biodiversity on the level of species, habitats, and ecosystems including genetic diversity and the role of biodiversity in food web structure and functioning. The restoration of marine ecosystems can support the productivity and reliability of goods and services that the ocean provides to humankind, to maintain ecosystem integrity and stability. Some of the goods produced by the marine ecosystem services are fish harvests, wild plant and animal resources, water, some of the services provided recreation, tourism, breeding and nursery habitats, water transport, carbon sequestration, erosion control, and habitat provision.
",isbn:"978-1-83968-460-9",printIsbn:"978-1-83968-459-3",pdfIsbn:"978-1-83968-544-6",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,isNomenclature:!1,hash:"727e7eb3d4ba529ec5eb4f150e078523",bookSignature:"Dr. Ana M.M. Marta Gonçalves",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/10845.jpg",keywords:"Non-indigenous Species, Dynamics, Ecosystem Maturation, Ecological Succession, Water Quality, Recovery, Biodiversity, Environmental Status, Ecosystem Services, Goods Production, Carbohydrates, Carrageenan",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 14th 2022",dateEndSecondStepPublish:"June 22nd 2022",dateEndThirdStepPublish:"August 21st 2022",dateEndFourthStepPublish:"November 9th 2022",dateEndFifthStepPublish:"January 8th 2023",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"2 months",secondStepPassed:!0,areRegistrationsClosed:!1,currentStepOfPublishingProcess:3,editedByType:null,kuFlag:!1,biosketch:"Dr. Ana Marta Gonçalves (h-index 19) holds a Ph.D. in Biology, from the University of Coimbra, Portugal, in collaboration with Ghent University, in 2011. During her research career obtained several grants is highly international competitive calls, including the MARS award for young scientists funded by The Royal Netherlands Institute for Sea Research (NIOZ) and the Foundation for Science and Technology (FCT, Portugal) grants.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"320124",title:"Dr.",name:"Ana M.M.",middleName:"Marta",surname:"Gonçalves",slug:"ana-m.m.-goncalves",fullName:"Ana M.M. Gonçalves",profilePictureURL:"https://mts.intechopen.com/storage/users/320124/images/system/320124.jpg",biography:"Ana Marta Gonçalves obtained a Ph.D. in Biology with a specialization in Ecology from the University of Coimbra, Portugal, in collaboration with Ghent University, Belgium, in 2011. Currently, she is an auxiliary researcher at the Marine and Environmental Sciences Center (MARE), Portugal, where she is also a member of the Directive Board. Since 2016, she has been a member of the Scientific Council of the Institute for Interdisciplinary Research, University of Coimbra (IIIUC). Dr. Gonçalves holds various administrative and management positions in international networks, societies (e.g., Society of Environmental Toxicology and Chemistry, AIL), and associations (e.g., PROAQUA). She is an editorial board member and reviewer for several indexed journals. She has published more than 70 journal articles, 50 book chapters, and 165 communications in international scientific events. She participated as a member and/or coordinator in more than twenty-five national and international projects and is currently the coordinator of four research projects. She has supervised more than ninety-five national and international undergraduate and graduate students. She has experience as a teacher of university courses and in accredited training sessions for teachers. Additionally, she has coordinated several ocean literacy and environmental education activities for kindergarten and school students. During her research career, Dr. Gonçalves obtained several grants and a MARS award for young scientists funded by The Royal Netherlands Institute for Sea Research (NIOZ).\n\nShe has expertise in biosafety, biochemical pathways, and impacts of stressors in aquatic species. Her research focus is on the valorization of marine resources and their applications in the industrial sector, such as the food and pharmaceutical industries. 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1. Introduction
Over the years, piezoelectric materials have been heavily investigated for ultrasonic device applications. Of the many piezoelectric materials, Pb(Zr1−xTix)O3 (PZT)-based materials are more attractive for these applications, such as piezoelectric actuators, ultrasonic motors, and piezoelectric transformers [1, 2, 3, 4, 5, 6, 7, 8, 9]. As Pb(Mn1/3Nb2/3)O3 (PMnN), Pb(Zn1/3Nb2/3)O3 (PZN) have been found to be promising ferroelectric ceramics with good piezoelectric characteristics, high Curie temperature, they meet well with the requirements of ultrasonic transducer applications [6, 7, 8]. They are ferroelectric materials that have characteristics such as: high dielectric constant, the temperature at the phase transition point between the ferroelectric and paraelectric phase is broad (the diffuse phase transition), and a strong frequency dependency of the dielectric properties [6, 10, 11, 12]. The PZT-PZMnN ceramics, as one of PZT-Pb(B′, B″)O3 solid solutions, received more attention due to their high piezoelectric properties [6, 10, 11, 12, 13, 14]. So far, the sintering temperature of PZT-based ceramics is usually too high, approximately 1200°C [9]. To improve the sinterability and properties of lead piezoelectric ceramics, on the basis of the conventional solid phase sintering method, various advanced manufacturing techniques have been applied to the fabrication of lead ceramics such as the two-stage calcination method [15], high energy mill [16] and liquid phase sintering [9, 15, 17, 18, 19, 20], hot isostatic pressing, hot pressing, microwave sintering, and spark plasma sintering [17] has been used effectively. Among them, the liquid phase sintering is a simple and effective method of improving the properties of PZT-based ceramics, which is currently attracting the interests of many scientists [15, 16]. By using various additives, such as NiO, B2O3, Bi2O3, Li2CO3, BiFeO3, ZnO, CuO, and Bi2O3, many researchers have successfully decreased the sintering temperature of PZT-based ceramics [5, 6, 13, 14, 18, 19, 20, 21, 22, 23]. We also attempted decreasing sintering temperatures from 1150 to 930°C, which significantly improved the electrical properties of the ceramics. In these ceramics, Li2CO3 is considered as a liquid-phase sintering aid [5, 21, 24]. The addition of Li2CO3 improved the sinterability of the Bi0.5(Na0.8K0.2)0.5TiO3 ceramic samples and caused an increase in the density and grain size at a sintering temperature of 1100°C [19]. With increasing Li2CO3 content, the phase structure of the ceramics changed from rhombohedral to tetragonal, indicating that it is close to the morphotropic phase boundary (MPB) of this system.
In this chapter, in order to develop the composition ceramics for high-intensity ultrasound applications, xPb(ZryTi(1−y))O3-(0.925-x)Pb(Zn1/3Nb2/3)O3-0.075Pb(Mn1/3Nb2/3)O3 (PZT-PZN-PMnN) ceramics were fabricated by the B-site oxide mixing technique. The aim of the chapter was, first, to carry out a phase formation, piezoelectric, ferroelectric, and dielectric characteristics in a solid solution of PZT-PZN-PMnN. The compositions synthesized in this study were x = 0.65, 0.70, 0.75, 0.80, 0.85, and 0.90 in the ternary system, xPb(Zr0.47Ti0.53)O3-(0.925 − x)Pb(Zn1/3Nb2/3)O3-0.075Pb(Mn1/3Nb2/3)O3. Then detailed systematic structural analysis and the study of physical properties were carried out for x = 0.8 compositions by varying the value of y in the Zr/Ti ratio. This will help to better determine how variations in the phase content affect local atomic arrangements and hence the electrical properties; and, second, to study the effect of ZnO nanoparticles on the sintering behavior and electrical properties of 0.8Pb(Zr0.48Ti0.52)O3-0.125Pb(Zn1/3Nb2/3)O3-0.075Pb(Mn1/3Nb2/3)O3 piezoelectric materials; the application, fabrication of ultrasonic transducers are reported and discussed.
2. Synthesis of PZT-PZN-PMnN ceramics by the B-site oxide mixing technique
Lead-based mixed B-site cation perovskites of (B′, B″)O3-type exhibit diffuse phase transition (DPT) behaviors of broad dielectric constant spectra in contrast to the sharp phase transitions of Pb(Zr,Ti)O3 and PbTiO3 [25]. The complex perovskite compounds are difficult to synthesize by conventional solid-state reaction method owing to the formation of pyrochlore phases and reduction of desirable properties, such as the electromechanical coupling factor and dielectric constant, which originate from the perovskite structure [25]. The B-site oxide mixing technique (BO) [26, 27] (formation of a B-site precursor of (B′, B″)O2-type, followed by a reaction with PbO) has been applied to several complex perovskite compositions and the results are quite successful [22, 28, 29]. In the conventional method (MO), oxide powders of PbO, ZrO2, TiO2, ZnO, MnO2, and Nb2O5 were weighed and milled for 8 h. To identify the temperature for calcining PZT-PZN-PMnN, we investigated the data of thermal gravimetric (TG) and thermal analysis (DTA) of PZT-PZN-PMnN powder (Figure 1). As per the above results, the TG curve exhibits a linear decrease in the total mass of the studied powder. However, the DTA curve shows an endothermic peak from 739 to 840°C, corresponding to the ion evaporation. To ensure the phase creation in the sample, the mixture powder was calcined at temperatures a little higher than 850°C after being milled for 8 h and pressed into pellets [30]. Afterward, the calcined PZT-PZN-PMnN pellets were continued to be milled for 16 h and pressed into disk 12 mm in diameter and 1.5 mm in thick under 100 Tan/cm2.
Figure 1.
TG/DTA curves for the powder mixture compositions.
In the B-site oxide mixing technique, in order to identify the temperature for calcining of (Zn,Mn)Nb2(Zr,Ti)O6 (BO), we investigated the data for thermal gravimetric (TG) and thermal analysis (DTA) of (Zn,Mn)Nb2(Zr,Ti)O6 powders, as shown in Figure 2. As per results, the TG curve of the mixture powder shows that the total mass of the studied powder decreases linearly. However, the DTA curve shows the endothermic peak at 978°C, corresponding to the temperature of powder evaporation. In order to ensure that the temperature is at least above 978°C for each powder grain, the mixture powder was calcined at little higher temperature of 1100°C [6, 11, 21, 22] after the powders of BO and PbO were weighed and milled for 8 h.
Figure 2.
TG and DTA curves of (Zn,Mn)Nb2(Zr,Ti)O6 power at 10°C/min heating rate.
The powders were calcined at a temperature of 850°C for 2 h, producing the PZT-PZN-PMnN compound. The samples were sintered at 950°C for 2 h. Figure 3 shows the X-ray diffraction (XRD) patterns of the PZT-PZN-PMnN ceramics prepared by different methods. From X-ray diagrams, we can see that the BO sample has only pure perovskite phase with rhombohedral structure, and this was determined by the (200) diffraction peak observed near 44° with no splitting. As seen in Figure 4, the BO sample was almost fully dense, and the average grain size of the sample was large. However, in the MO sample, besides the perovskite phase with rhombohedral structure (Figure 3), there is a small pyrochlore phase. This is in good accordance with the microstructure (Figure 4). It is said that formation of the pyrochlore phase may be due to the steric and electrostatic interaction between the high polarization of the Pb2+ cation and the B-sites cation (Zn+2, Nb+5) [24, 27, 31].
Figure 3.
X-ray diffraction diagram of the BO and MO samples.
Figure 4.
Microstructures of BO and MO samples.
3. Characterization of ceramics
The crystalline structure of the sintered ceramics was analyzed by X-ray diffraction (XRD) analysis at room temperature. The surface morphology was examined using field emission scanning electron microscopy (SEM), X-ray energy dispersive spectra (EDS) was measured using a Hitachi S-3400N scanning electron microscope with an EDS system Thermo Noran, and the densities of the ceramic samples were measured by the Archimedes method from the ceramic samples weighed in air, in water and the density of water. The grain size is determined from SEM micrographs by a linear intercept method. The dielectric properties of ceramics (relative dielectric constant and dielectric loss) were measured with a HIOKI 3532 impedance analyzer. The electromechanical coupling factors kp, kt and piezoelectric constant (d31) were determined by the resonance method according to the IEEE Standard 61 using an impedance analyzer Agilent 4196B and RLC HIOKI 3532 [32, 33]. The ferroelectric properties were measured by applying the Sawyer-Tower method [34].
4. The effects of Pb(Zr0.47Ti0.53)O3 on the structure, microstructure, and the dielectric properties of xPb(Zr0.47Ti0.53)O3-(0.925 − x)Pb(Zn1/3Nb2/3)O3-0.075Pb(Mn1/3Nb2/3)O3 ceramics
Lead-zinc niobate Pb(Zn1/3Nb2/3)O3 (PZN) materials were first synthesized in the 1960s [35, 36]. It is one of the well-known relaxor perovskite ferroelectrics exhibiting a diffused phase transition with a phase transition temperature around 140°C (Tm) [6, 12]. However, pure perovskite lead-zinc niobate ceramics are relatively difficult to prepare by conventional solid-state reaction method [37]. The addition of other perovskite materials such as PbTiO3, BaTiO3, and PbZr0.47Ti0.53O3 (PZT) is necessary to stabilize the perovskite structure for PZN ceramics [12, 25, 38, 39]. The B-site ions in the PZT perovskite structure (Zr4+, Ti4+) might have been partially substituted by the B-site ions of the relaxor-type PZN structure (Zn2+, Nb5+), which allowed the PZT-PZN solid-solution system to retain the perovskite structure and the high sinterability of lead-based relaxor ceramics [12, 25, 38, 39]. Based on the preparation of pyrochlore-free Pb(Ni1/3Nb2/3)O3 (PNN), Vittayakorn et al. [40] studied the effects of PZT contents on the dielectric and ferroelectric properties of 0.5PNN-(0.5 − x)PZN-xPZT ceramics. The results showed that the dielectric constant (εr), the remanent polarization (Pr), and Curie temperature (Tc) increase with the increase in PZT content. With the combination of the preeminent properties between PZT, PZN, and PMnN, the PZT-PZN solid-solution systems hope to achieve the prominent properties of normal ferroelectric PZT and relaxor ferroelectric PZN and PMnN, which could exhibit better piezoelectric and dielectric properties simultaneously. In this section, in order to improve electrical properties, we have prepared xPZT-(0.925 − x)PZN-0.075PMnN ceramics with the content of PZT from 0.65 to 0.90. The xPb(ZryTi(1−y)O3-(0.925 − x)Pb(Zn1/3Nb2/3)O3–0.075Pb(Mn1/3Nb2/3)O3 ceramic samples have been fabricated by the B-site oxide mixing technique as described in Section 2.
Figure 5 shows XRD patterns of the PZT-PZN-PMnN ceramics at various contents of PZT. As observed, all ceramics have pure perovskite phase with dominantly tetragonal structure. The lattice parameters (a, c) of the samples have been evacuated from the (002) and (200) peaks of diffraction patterns, which are shown in the inset of Figure 5. When PZT content increases, the tetragonality c/a ratio increases. According to the PbZrO3-PbTiO3 phase diagram, Pb(Zr0.47Ti0.53)O3 is the tetragonal phase (space group P4mm) near the morphotropic phase boundary region at room temperature (RT) [41, 42]. While Pb(Mn1/3Nb2/3)O3 is a cubic structure and the PZN composition was determined to be the rhombohedral (space group R3m) [36, 38]. Therefore, with increasing the molar fraction of PZT, the crystal symmetry of the PZT-PZN-PMnN should change due to the tetragonal distortions of PZT [6, 25, 40]. In order to determine what chemical composition of the PZT-PZN-PMnN ceramic changes during sintering, the EDS analysis is performed and is shown in Figure 6. The presence of lithium (Li) is not plotted here because its atomic number is low and the mass percentage is too small [43]. Table 1 also showed the comparison in the mass of Pb, Zr, Ti, Nb, Zn, and Mn elements between before and after sintering of the PZT-PZN-PMnN ceramics. It is quite clear that the chemical composition of the synthesized ceramic obtained by EDS analysis can roughly accord with the general formula of the material without Pb. The reason could be explained by the evaporation of PbO during sintering [6, 25, 31]. Therefore, it is necessary to add excess 5 wt% PbO to compensate for lead loss during sintering.
Figure 5.
XRD patterns of PZT-PZN-PMnN ceramics at various contents of PZT.
Figure 6.
EDS spectrum of 0.8PZT-0.125PZN-0.075PMnN ceramics.
Elements
The mass percentage of elements from the precursors
Mass percentage of elements from the synthesized ceramic
Pb
64.4
57
Zr
10.72
10.24
Ti
6.10
4.97
Nb
3.79
3.06
Zn
0.83
0.59
Mn
0.42
0.43
Table 1.
The chemical composition of the PZT-PZN-PMnN ceramics.
Figure 7 shows microstructures of the PZT-PZN-PMnN ceramics at various contents of PZT. The average grain size of these samples is increased with the increase of PZT content in Table 2. On the other hand, the average grain size is reduced when x increases above 0.8. These results are obviously consistent with the change in the density of PZT content of PZT-PZN-PMnN ceramics, as shown in Table 2.
Figure 7.
Surface morphologies observed by the SEM of PZT-PZN-PMnN ceramics at various contents of PZT.
Samples
M65
M70
M75
M80
M85
M90
Average grain size (μm)
0.56 ± 0.02
0.66 ± 0.02
0.90 ± 0.02
1.04 ± 0.01
0.85 ± 0.02
0.83 ± 0.03
The average density of ceramics (g/cm3)
7.77 ± 0.02
7.78 ± 0.01
7.80 ± 0.01
7.81 ± 0.01
7.72 ± 0.01
7.69 ± 0.02
Table 2.
The average grain size of PZT-PZN-PMnN ceramics.
Table 2 shows the density of the PZT-PZN-PMnN ceramics as a function of the PZT content. With the increase of PZT content up to 0.8, the mass density of PZT-PZN-PMnN ceramics increases. It achieves a maximum value (ρ = 7.81 g/cm3, 96% of the theoretical density in which the theoretical density of ceramic is calculated using Eq. (1):
ρ=nAVCNAE4
where n = number of atoms associated with each unit cell in ABO3, A = atomic weight, VC = volume of the unit cell in ABO3, and NA = Avogadro’s number.
This is explained by the content of PZT was added to the ceramic system is less than 0.8 mol, a large number of pores were present, indicating insufficient densification of the sample (Figure 7: some SEM for M70, M90 are missing and M75 is not good). As the PZT content increases, the ceramics became denser, and the sample was almost fully dense at a PZT content of 0.8 mol.
The PZT content dependence of the dielectric constant (εr), dielectric loss (tan δ), and mass density (ρ) of the PZT-PZN-PMnN ceramics at 1 kHz and RT is illustrated in Figure 8. It can be seen that dielectric properties are strongly influenced by the composition of the ceramics. When the content of PZT increases from 0.65 to 0.8 mol, values of εr increase and reach to the maximum of 1230 at 0.8 mol of PZT. Then, these rapidly decrease with increasing x, while tan δ decreases with increasing PZT content. The minimum tan δ of 0.005 is obtained at x = 0.8 and then increased. It could be explained by the combination of a large and homogeneous grain size and the highest densification for the composition of 0.8PZT-0.125PZN-0.075PMnN ceramic [22].
Figure 8.
Temperature dependence of the dielectric constant and dielectric loss tan δ at 1 kHz of samples.
In order to characterize the dielectric loss of all samples, the measurement of dielectric constant dependent on temperature is carried out at 1 kHz, as shown in Figure 8. With increasing PZT content, the dielectric constant peak increases and becomes sharpened. Hence, the material properties change from relaxor ferroelectricity to normal ferroelectricity. The permittivity and the maximum temperature (Tm) of the ceramics are shown in Figure 9. It shows that the Tm increases with increasing PZT content and is in the range of 206–275°C. There is a difference between the phase transformation temperatures of PZN (Tm ~ 140°C) [36, 38, 40] and PZT (TC ~ 390°C) [25, 35], so it is significant to study the dependence of phase transition temperature of the PZT-PZN-PMnN ceramics on PZT content [40]. When the temperature is higher than Tm, the function ε(T) is out of order the Curie-Weiss law in the normal ferroelectric materials. The fact the relationship between dielectric constant (ε) and temperature (T) above Tm can be complied by the modified Curie-Weiss law for analyzing of experimental data [44] is shown as follows:
Figure 9.
The plot of ln(1/ε – 1/εm) versus ln(T-Tm) of PZT-PZN-PMnN ceramics at 1KHz.
1ε−1εmax=T−TmγC′E1
where C is the modified Curie–Weiss constant and γ is the diffuseness exponent, which changes from 1 to 2 for normal ferroelectrics to fully disorder relaxor ferroelectrics, respectively [44].
The slopes of the fitting curves (Figure 9) are used to determine the γ value of xPZT-(0.925 − x)PZN-0.075PMnN ceramics at 1 kHz. As can be seen in Figure 9, the γ changes from 1.70 to 1.88. Thus, it is indicated that the transitions are of a diffuse type and the ceramics are highly disordered.
To analyze the frequency dependence of Tm, it is necessary to use Vogel-Fulcher law [6, 45]:
F=foexp−To/T−TfE2
Lnf=fo–ToTm–TfE3
where Tf is the freezing temperature, Ea is the activation energy for polarization fluctuation of a polar nanoregion, fo is a characteristic frequency or Debye frequency, and kB is the Boltzmann constant = 1.38 × 1023 J/K, and To = Ea/kB. Figure 10 shows the plot of ln(f) versus Tm as a function of the measured frequency of PZT-PZN-PMnN. The symbols are the experimental points, and the line is the corresponding fitting to the Vogel-Fulcher relationship as listed in Table 3.
Figure 10.
The plot of ln(f) versus Tm as a function of the measured frequency of PZT-PZN-PMnN.
Samples
M65
M70
M75
M80
M85
M90
T0 (°C)
398
254
302
331
217
253
Tf (°C)
179
198
208
218
237
255
Table 3.
The value of fitting parameters to Vogel-Fulcher relationship.
5. The effects of Zr/Ti ratio on the structure, microstructure, and the electrical properties of 0.8Pb(ZryTi1−y)O3–0.125Pb(Zn1/3Nb2/3)O3–0.075Pb(Mn1/3Nb2/3)O3 ceramics
The influence of Zr/Ti ratio on the structure of PZT-PZN-PMnN ceramics has been analyzed through the X-ray diffraction patterns (Figure 11). The patterns reveal a pure perovskite phase for all ceramic samples.
Figure 11.
X-ray diffraction patterns of ceramics with different Zr/Ti ratio contents: M46 (Zr/Ti = 46/54), M47(Zr/Ti = 47/53), M48 (Zr/Ti = 48/52), M49 (Zr/Ti = 49/51), M50 (Zr/Ti = 50/50), and M51 (Zr/Ti = 51/49).
As can be seen, the tetragonality of PZT-PZN-PMnN ceramics decreased with increasing Zr/Ti ratio content through the c/a ratio decreases. According to Dixit et al. [46] and Kahoul et al. [47], the morphology of Pb(Zr,Ti)O3 ceramics is strongly dependent on the Zr and Ti content. The content of the rhombohedral phase gradually increases within decreasing the Zr content simultaneously, and the tetragonal phase gradually decreases. The morphological evolution with Zr contents in this work may be attributed to the increase of a rhombohedral phase in these ceramics [46, 47]. This may be because the large Zr+4 (0.86 Å) ions diffuse into the PZT-PZN-PMnN lattice to replace Ti4+ (0.61 Å), resulting in the increase in the lattice constant and a shift in the XRD peak position toward lower 2θ values, similar to our recent research [48].
Effects of the contents of Zr/Ti ratio on the microstructure development of the ceramics are shown in Figure 12. In general, surface ceramics with large grains and uniform microstructure were obtained in all samples, and the average grain size of samples is increased with the increasing content of Zr/Ti ratio. In conformity with the previous densification results, highly dense samples exhibited high degrees of grain close packing. However, some pores and abnormal grain boundaries were observed in Figure 12 (MZ50 and MZ51) and the average grain size is reduced.
Figure 12.
Microstructures of samples with the different Zr/Ti ratio contents: MZ46 (Zr/Ti = 46/54), MZ47 (Zr/Ti = 47/53), MZ48 (Zr/Ti = 48/52), MZ49 (Zr/Ti = 49/51), MZ50 (Zr/Ti = 50/50), and MZ51 (Zr/Ti = 51/49).
Figure 13 shows the temperature dependence of ε and tan δ of the ceramic samples measured at different frequencies (1 kHz–1 MHz). It can see that with the increase in Zr amount, the Tm temperature of ceramics decreases as indicated in Figure 14. This may explain that the Curie temperature of PbZrO3 ceramics is about 232°C [25], and it is lower than that of PbTiO3 ceramics, 490°C [49, 50]. It is due to the decrease of lattice parameters and bond lengths [46, 47].
Figure 13.
Temperature dependence of relative dielectric constant ε and dielectric loss tan δ of samples at different frequencies: MZ46 (Zr/Ti = 46/54), MZ47 (Zr/Ti = 47/53), MZ48 (Zr/Ti = 48/52), MZ49 (Zr/Ti = 49/51), MZ50 (Zr/Ti = 50/50), and MZ51 (Zr/Ti = 51/49).
Figure 14.
The Curie temperature Tm of PZT-PZN-PMnN ceramics with different amounts of Zr/Ti ratio.
In order to determine the piezoelectric properties of ceramics, resonant vibration spectra of the PZT-PZN-PMnN samples were measured at room temperature (Figure 15), and from these resonant spectra, the piezoelectric parameters of the samples, such as electromechanical coefficients kp, piezoelectric coefficients d31, mechanical quality coefficient Q m, and dielectric loss tan δ were determined (Figure 16). It can be observed that the kp, d31, Q m, and tan δ depend on the amount of the Zr/Ti ratio content. The piezoelectric properties of ceramics are markedly improved. The following optimized values were obtained at Zr/Ti = 48/52, kp = 0.62, d31 = 140 pC N−1, Q m = 1112, and tan δ = 0.005. This fact can be explained by the increased grain size effect and better modification of microstructure in ceramics [10, 25, 49, 50]. However, with the further increasing the Zr/Ti ratio content, the electrical properties of PZT-PZN-PMnN ceramics are reduced. The cause is due to an abnormal grain boundary, and the average grain size is also reduced, as shown in Figure 12.
Figure 15.
The spectrum of radial resonance of MZ48 sample (at room temperature).
Figure 16.
The values of kp, d31, Qm, and tan δ of the PZT-PZN-PMnN ceramic samples.
The P-E hysteresis loops of PZT-PZN-PMnN at room temperature are displayed in Figure 17(a), and Pr and Ec are presented in Figure 17(b). With the increase in Pr and the decrease in Ec, the ferroelectric properties of PZT-PZN-PMnN ceramics improve. With increasing of Zr/Ti ratio content, the value of Pr increases and reaches the highest value of 34.5 μC/cm2) at the Zr/Ti ratio of 48/52, and then decreases. The coercive field EC decreases slightly with the increasing of Zr/Ti ratio content and reaches the smallest value of 9.0 kV/cm at Zr/Ti ratio of 48/52.
Figure 17.
(a) Hysteresis loops of samples and (b) Pr and Ec as a function of Zr/Ti ratios.
The effect of temperature on the ferroelectric properties of ceramics was studied by the hysteresis loops of the 0.8Pb(Zr0.48Ti0.52)O3–0.125Pb(Zn1/3Nb2/3)O3–0.075Pb(Mn1/3Nb2/3)O3 sample in the temperature range of 30–280°C (Figure 18(a)). The hysteresis loops of the ceramics exhibited excellent temperature stability due to the broad diffusive phase transition between the nonergodic and ergodic relaxor states that coexisted over a wide temperature range [51]. When the temperature increased from room temperature to 120°C, the remanent polarization and the coercive field increased (Figure 18(b)). The reason is when the temperature increases, the oxygen vacancies in the perovskite structure will move and significantly increase the conductivity of the material, which should increase the dielectric loss. However, when the temperature rises above 120°C, the remanent polarization Pr and the coercive field Ec decreased (Figure 18(b)). Generally, the size of the hysteresis loops depends on the dielectric loss of the material and the metastable macro-domain structure and the immobilizations of the domain walls [52]. Therefore, when the temperature increased, large thermal motion energy caused an increase in bipolar disorder, narrowed the hysteresis loops, and decreased the remanent polarization and the coercive field. In addition, the hysteresis loops showed that the Pr is nonzero at Tm but decays to zero at temperatures above Tm. These results are consistent with the literature [40].
Figure 18.
(a) Hysteresis loops and (b) temperature dependence of Pr and EC of MZ48 sample at a different temperature.
6. Ferroelectric domain structures around the morphotropic phase boundary of the 0.8Pb(Zr0.48Ti0.52)O3-0.125Pb(Zn1/3Nb2/3)O3-0.075Pb(Mn1/3Nb2/3)O3 ceramics
In this section, in order to develop the composition ceramics for high-intensity ultrasound applications, 0.8Pb(Zr0.48Ti0.52)O3–0.125Pb(Zn1/3Nb2/3)O3–0.075Pb(Mn1/3Nb2/3)O3 + z wt% ZnO nanoparticles ceramics were fabricated by the B-site oxide mixing technique with the variations of z and then the phase formation, piezoelectric and dielectric characteristics were investigated with the variations of z. The general formula of the studied materials is 0.8Pb(Zr0.48Ti0.52)O3–0.125Pb(Zn1/3Nb2/3)O3–0.075Pb(Mn1/3Nb2/3)O3 + z wt% ZnO, where z = 0.0, 0.20, 0.25, 0.30, 0.35, 0.40, and 0.45. The obtained ZnO nanoparticles are spherical in shape, with their average diameter about 27 nm [9, 18]. On the other hand, reagent-grade oxide powders of PbO, ZnO, MnO2, Nb2O5, ZrO2, and TiO2 (purity ≥99%) were used as starting raw materials for the fabrication of the PZT-PZN-PMnN ceramics.
Figure 19 shows X-ray diffraction patterns of the PZT-PZN-PMnN ceramics at various contents of ZnO nanoparticles. All the compositions have demonstrated pure perovskite phases and no trace of the second phase. Further XRD analysis is performed in the 2θ ranges from 43 to 46°, as shown in the inset of Figure 19. It can be seen that a phase transformation from the rhombohedral structure to the tetragonal structure occurs with increasing ZnO content. The samples with z = 0.0 and 0.2 have the rhombohedral structure characterized by a peak (200)R at 2θ ≈ 44.5°. With z = 0.40 and 0.45, the ceramics exist as a tetragonal phase which is indicated by the splitting of (002)T and (200)T peaks in the 2θ range from 44 to 45° [23, 53, 54]. In the z range from 0.25 to 0.35, the ceramics coexist as rhombohedral and tetragonal phase, which is revealed by the coexistence of (002)T, (200)T, and (200)R peaks. Therefore, it could be said that the composition z from 0.25 to 0.35 is close to the morphotropic phase boundary (MPB) of this system. The phenomenon can be explained by the penetration of Zn2+ ions into the grains to substitute for B-site ions due to the similar radii of Zn2+ (0.074 nm), Ti4+ (0.0605 nm), Zr4+ (0.072 nm), and Nb5+ (0.064 nm) at the octahedral sites of the perovskite lattice, forming additional anionic vacancies. This causes a distortion in the lattice; therefore, the substitution of Zn2+ ions at Ti4+ or Zr4+ sites caused the c-axis to be lengthened and changed in lattice parameters and degree of tetragonality (c/a). These results are consistent with the literature [5, 19, 21, 48, 55].
Figure 19.
X-ray diffraction patterns of PZT-PZN-PMnN ceramics at various contents of ZnO nanoparticles [9].
Effects of the contents of ZnO nanoparticles on the microstructure development of the ceramics are shown in Figure 20. As can be described in the microstructure of ceramics, the grain size of PZT-PZN-PMnN samples is increased with the increasing content of ZnO nanoparticles. This may explain that the low melting point of ZnO nanoparticles is beneficial to generate eutectic liquid phase at low temperature, and it can act as lubrication during the sintering process, wetting solid particles and providing capillary pressure between them, thus resulting in faster grain growth of PZT-PZN-PMnN ceramics [56, 57]. However, when the ZnO concentration is large, it exceeds the solubility limit of ZnO into the ceramics, and they will be located at grain boundaries preclude the grain growth process, as shown in Figure 20(d)–(f).
Figure 20.
Microstructures of PZT-PZN-PMnN ceramics at different contents of ZnO nanoparticles: (a) 0.20 wt%, (b) 0.25 wt%, (c) 0.3 wt%, (d) 0.35 wt%, (e) 0.40 wt%, and (f) 0.45 wt%.
Figure 21 shows evolution examples of the ferroelectric domain with the rhombohedral to tetragonal phase transformation and the grain size of the PZT-PZN-PMnN samples of about 2 μm. The SEM images of the domain structure suggest the presence of 90 and 180° domains in the tetragonal phase (Figure 21(a)), whereas the 71, 109, and 90° domains are located in the red-bordered region and primarily viewed in Figure 21(b)), and the widths of these domains were about 100 nm. Inspection of SEM images acquired at lower magnifications showed that the abundance and scale of these microtwin structures varied with location both within and between ceramic grains, with abrupt changes in the domain structure occurring at the grain boundaries [58]. One of the important contributions from our experimental works is the confirmation of the SEM images by corrosion method as a valid method for domain size assessment in bulk ceramics.
Figure 21.
The domain structures micrographs of the PZT-PZN-PMnN ceramics; (a) 0.4 wt% ZnO; (b) 0.35 wt% ZnO [9].
7. Conclusions
This chapter presents the investigation on the fabrication and characterization of sample groups of PZT-based ceramics and the relaxor PZN-PMnN ferroelectric materials with perovskite structure. The B-site oxide mixing technique reported in this study is simple, produces large quantities, and is easy to reproduce. Experimental results showed that the electrical properties of xPb(ZryTi(1−y))O3-(0.925 − x)Pb(Zn1/3Nb2/3)O3-0.075Pb(Mn1/3Nb2/3)O3 ceramics are optimal at a Pb(ZryTi(1−y))O3 content of 0.8 mol and Zr/Ti ratio of 48/52. At these contents, the ceramics have good electrical properties: d31 = 140 pC/N, kp = 0.62, kt = 0.51, Qm = 1112, tan δ = 0.005, and Pr = 34.5 μC/cm2. Investigation of the domain structure of the two ferroelectric phases (tetragonal and rhombohedral) in the PZT-PZN-PMnN with compositions at near the MPB is described as follows: the 90 and 180° domains exist in the tetragonal phase, while 71, 109, and 90° domains are located in the rhombohedral phase. The widths of these domains were about 100 nm. The hysteresis loops of the ceramics exhibited excellent temperature stability due to the broad diffusive phase transition between the nonergodic and ergodic relaxor states that coexisted over a wide temperature range, which makes it as a promising material for high-intensity ultrasound applications.
Acknowledgments
This research is funded by the Vietnam National Foundation for Science and Technology Development (NAFOSTED) under Grant Number 103.02-2017.308.
\n',keywords:"ceramics, the multicomponent ceramics, PZT-PZN-PMnN, ZnO nanoparticles, the ultrasonic transducers",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/73127.pdf",chapterXML:"https://mts.intechopen.com/source/xml/73127.xml",downloadPdfUrl:"/chapter/pdf-download/73127",previewPdfUrl:"/chapter/pdf-preview/73127",totalDownloads:502,totalViews:0,totalCrossrefCites:1,totalDimensionsCites:2,totalAltmetricsMentions:0,introChapter:null,impactScore:1,impactScorePercentile:64,impactScoreQuartile:3,hasAltmetrics:0,dateSubmitted:"July 1st 2020",dateReviewed:"August 2nd 2020",datePrePublished:"September 29th 2020",datePublished:"May 5th 2021",dateFinished:"September 3rd 2020",readingETA:"0",abstract:"This chapter presents the investigation of fabrication and the physical properties of the Pb(Zr1−xTix)O3-Pb(Zn1/3Nb2/3)O3-Pb(Mn1/3Nb2/3)O3 multicomponent ceramics. The multicomponent yPb(Zr1−xTix)O3-(0.925 − y)Pb(Zn1/3Nb2/3)O3-0.075Pb(Mn1/3Nb2/3)O3 (PZT-PZN-PMnN) ceramics were synthesized by conventional solid-state reaction method (MO) combined with the B-site oxide mixing technique (BO). Research results show that the electrical properties of PZT-PZN-PMnN ceramics are optimal at a PZT content of 0.8 mol and Zr/Ti ratio of 48/52. At these contents, the ceramics have the following optimal properties: electromechanical coupling factor, kp = 0.62 and kt = 0.51; piezoelectric constant (d31) of 130 pC/N; mechanical quality factor (Qm) of 1112; dielectric loss (tan δ) of 0.005; high remanent polarization (Pr) of 30.4 μC.cm−2; and low coercive field (EC) of 6.2 kV.cm−1. Investigation of the domain structure of the two ferroelectric phases (tetragonal and rhombohedral) in the ZnO-doped PZT-PZN-PMnN with compositions at near the morphotropic phase boundary is described as follows: the 90 and 180° domains exist in the tetragonal phase, while the 71, 109, and 90° domains are located in the rhombohedral phase, and the widths of these domains were about 100 nm. Besides, the ceramics exhibited excellent temperature stability, which makes them a promising material for high-intensity ultrasound applications.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/73127",risUrl:"/chapter/ris/73127",book:{id:"9894",slug:"advanced-ceramic-materials"},signatures:"Le Dai Vuong, Vo Thanh Tung and Phan Dinh Gio",authors:[{id:"241214",title:"Dr.",name:"Le",middleName:null,surname:"Dai Vuong",fullName:"Le Dai Vuong",slug:"le-dai-vuong",email:"ledaivuongqb@gmail.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"326085",title:"Prof.",name:"Vo",middleName:null,surname:"Thanh Tung",fullName:"Vo Thanh Tung",slug:"vo-thanh-tung",email:"vothanhtungdhkh@gmail.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Hue University",institutionURL:null,country:{name:"Vietnam"}}}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Synthesis of PZT-PZN-PMnN ceramics by the B-site oxide mixing technique",level:"1"},{id:"sec_3",title:"3. Characterization of ceramics",level:"1"},{id:"sec_4",title:"4. The effects of Pb(Zr0.47Ti0.53)O3 on the structure, microstructure, and the dielectric properties of xPb(Zr0.47Ti0.53)O3-(0.925 − x)Pb(Zn1/3Nb2/3)O3-0.075Pb(Mn1/3Nb2/3)O3 ceramics",level:"1"},{id:"sec_5",title:"5. The effects of Zr/Ti ratio on the structure, microstructure, and the electrical properties of 0.8Pb(ZryTi1−y)O3–0.125Pb(Zn1/3Nb2/3)O3–0.075Pb(Mn1/3Nb2/3)O3 ceramics",level:"1"},{id:"sec_6",title:"6. Ferroelectric domain structures around the morphotropic phase boundary of the 0.8Pb(Zr0.48Ti0.52)O3-0.125Pb(Zn1/3Nb2/3)O3-0.075Pb(Mn1/3Nb2/3)O3 ceramics",level:"1"},{id:"sec_7",title:"7. Conclusions",level:"1"},{id:"sec_8",title:"Acknowledgments",level:"1"}],chapterReferences:[{id:"B1",body:'Huang X, Zeng J, Ruan X, Zheng L, Li G. 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Journal of Materials Research. 2003;18(12):2882-2889'},{id:"B41",body:'Hou Y-D, Chang L-M, Zhu M-K, Song X-M, Yan H. Effect of Li2CO3 addition on the dielectric and piezoelectric responses in the low-temperature sintered 0.5 PZN–0.5 PZT systems. Journal of Applied Physics. 2007;102(8):084507'},{id:"B42",body:'Yogaraksa T, Hikam M, Irzaman H. Rietveld analysis of ferroelectric PbZr0.525Ti0.475O3 thin films. Ceramics International. 2004;30(7):1483-1485'},{id:"B43",body:'Prakash BJ, Buddhudu S. Synthesis and analysis of LiNbO3 ceramic powders by co-precipitation method. Indian Journal of Pure and Applied Physics. 2012;320-324(5):320-324'},{id:"B44",body:'Uchino K. Relaxor ferroelectrics. Journal of the Ceramic Society of Japan. 1991;99(1154):829-835'},{id:"B45",body:'Rubio-Marcos F, Romero J, Martín-Gonzalez M, Fernández J. Effect of stoichiometry and milling processes in the synthesis and the piezoelectric properties of modified KNN nanoparticles by solid state reaction. Journal of the European Ceramic Society. 2010;30(13):2763-2771'},{id:"B46",body:'Dixit A, Majumder S, Dobal P, Katiyar R, Bhalla A. Phase transition studies of sol–gel deposited barium zirconate titanate thin films. Thin Solid Films. 2004;447:284-288'},{id:"B47",body:'Kahoul F, Hamzioui L, Boutarfaia A. The influence of Zr/Ti content on the morphotropic phase boundary and on the properties of PZT–SFN piezoelectric ceramics. Energy Procedia. 2014;50:87-96'},{id:"B48",body:'Vuong LD, Gio PD. Enhancement in dielectric, ferroelectric, and piezoelectric properties of BaTiO3-modified Bi0.5(Na0.4K0.1)TiO3 lead-free ceramics. Journal of Alloys and Compounds. 2020;817:152790'},{id:"B49",body:'Yoo J, Lee Y, Yoon K, Hwang S, Suh S, Kim J, et al. Microstructural, electrical properties and temperature stability of resonant frequency in Pb(Ni1/2W1/2)O3–Pb (Mn1/3Nb2/3)O3–Pb(Zr, Ti)O3 ceramics for high-power piezoelectric transformer. Japanese Journal of Applied Physics. 2001;40(5R):3256-3259'},{id:"B50",body:'Vuong LD, Gio PD, Van Chuong T, Trang DTH, Hung DV, Du NT. Effect of Zr/Ti ratio content on some physical properties of low temperature sintering PZT−PZN−PMnN ceramics. International Journal of Materials and Chemistry. 2013;3(2):39-43'},{id:"B51",body:'Jaita P, Sanjoom R, Lertcumfu N, Rujijanagul G. Improvement of electric field-induced strain and energy storage density properties in lead-free BNKT-based ceramics modified by BFT doping. RSC Advances. 2019;9(21):11922-11931'},{id:"B52",body:'Fan H, Zhang L, Zhang L, Yao X. The effect of defect field on dielectric ageing of lead magnesium niobate-lead titanate relaxor ferroelectrics. Journal of Physics: Condensed Matter. 2000;12(19):4381-4390'},{id:"B53",body:'Luan NDT, Vuong LD, Van Chuong T, Truong TN. Structure and physical properties of PZT-PMnN-PSN ceramics near the morphological phase boundary. Advances in Materials Science and Engineering. 2014;2014(821404):8'},{id:"B54",body:'Truong-Tho N, Vuong LD. Effect of sintering temperature on the dielectric, ferroelectric and energy storage properties of SnO2-doped Bi0.5(Na0.8K0.2)0.5TiO3 lead-free ceramics. Journal of Advanced Dielectrics. 2020;10(4):2050011-2050019'},{id:"B55",body:'Li H-B, Li Y, Wang D-W, Lu R, Yuan J, Cao M-S. Effects of ZnO nanoneedles addition on the mechanical and piezoelectric properties of hard PZT-based composites. Journal of Materials Science: Materials in Electronics. 2013;24(5):1463-1468'},{id:"B56",body:'German RM. Liquid Phase Sintering. Springer Science & Business Media; 2013'},{id:"B57",body:'Luo CY, Hu MZ, Huang Q , Fu Y, Gu HS. Influence of ZnO and Nb2O5 additions on sintering behavior and microwave dielectric properties of (Mg0.95Ca0.05)TiO3 ceramics. Key Engineering Materials. 2012;512:1184-1188'},{id:"B58",body:'Rossetti GA Jr, Popov G, Zlotnikov E, Yao N. 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Faculty of Chemical and Environmental Engineering, Hue Industrial College, Vietnam
Department of Physics, College of Sciences, Hue University, Vietnam
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1. Introduction
Quantifying human movement characteristics can provide a significant foundation for enabling optimized rehabilitation therapy, for which the advent of wearable and wireless inertial sensor systems provides considerable opportunity [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]. The quantification of inertial sensor systems have been proposed for the measurement and quantification of human movement characteristics since approximately the mid-20th century. However, sufficient miniaturization and reliability regarding that timeframe had not been achieved for associated biomedical applications [11, 12, 13, 14, 15]. Motivating research, development, testing, and evaluation for the evolution of inertial sensors derived from industries extrinsic relative to the biomedical field, such as the automotive industry for regulation of airbag deployment [11, 12, 13, 15]. Upon the achievement of a sufficient threshold for miniaturization and reliability these inertial sensors have been successfully applied to numerous human movement scenarios, such as the quantification of reflex, gait, and movement disorder. Furthermore, these inertial sensors were noted as functionally wearable with wireless in capability, which ushered the presence of wearable and wireless inertial sensor systems for quantifying human movement [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]. A historical and evolutionary perspective leading to the amalgamation of inertial sensors that are functionally wearable with wireless connectivity to Cloud computing resources in conjunction with machine learning classification as an advanced post-processing technique, which is known as Network Centric Therapy, for the biomedical domain is presented.
2. Ordinal methodologies for quantifying reflex response, gait, and movement disorder
Prior to the advent of wearable and wireless inertial sensor systems, the diagnosis of a subject’s health status was essentially derived from the expert although subjective interpretation of a skilled clinician. The clinician is generally tasked with the responsibility to interpret the health of the patient and apply the observation to an ordinal scale criteria methodology. This ordinal scale process is ubiquitous to the clinical domain, and this approach is relevant to the scope of reflex response, gait, and movement disorder. However, the ordinal scale strategy encompasses contention regarding reliability, and there generally does not exist a means for translating between various available ordinal scales [1, 3, 11, 12, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30].
Further issues with the ordinal scale approach are evident with respect to the imperative need for patient-clinician interaction. From a logistical perspective a patient is required to travel to a clinical appointment, which in the case of a specialized expert may require relatively long-distance travel. Additionally, the clinician is only provided with a short duration of time to interpret the patient’s health status, which may be in dispute to the true health condition of the patient. The ordinal scale approach intuitively only provides limited insight of patient health, for which sensor signal data may provide a more revealing historical perspective.
3. Electro-mechanical systems providing signal data for quantifying reflex response, gait, and movement disorder
The acquisition of quantified sensor signal data enables more pertinent clinical acuity regarding the health status with respect to reflex response, gait, and movement disorder [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]. With respect to the quantification of reflex response an assortment of electro-mechanical sensor systems have been proposed. These devices generally have consisted of the means for evoking the reflex through a provisional reflex hammer and quantifying the correlated reflex response [17, 18, 31, 32, 33, 34, 35, 36, 37, 38]. By temporally synchronizing the input quantification device eliciting the reflex and output quantification sensor of the reflex response a functional reflex latency can be derived [17, 18, 39, 40].
The quantification of the input that commences the reflex has been demonstrated through instrumented provisional reflex hammers and motorized devices. These devices enable measuring of the intensity of the eliciting impact and the time stamp regarding the start of the reflex respective of the neurological pathway. The reflex response, such as deriving from the patellar tendon, can be measured through electromyograms (EMGs), strain gauges, optical motion cameras, force sensors, and wired inertial sensors in addition to the associated time stamp. The temporal differential between the evoking reflex input time stamp and the reflex response time stamp can derive a functional latency of the reflex under consideration, such as the latency of the patellar tendon reflex [17, 18, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44].
Electro-mechanical systems have been applied for the quantified assessment of gait, which also pertains to movement disorder conditions. Representative electro-mechanical apparatus for quantifying gait consist of EMGs, optical motion cameras, force plates, foot switches, electrogoniometers, and metabolic analysis devices. These devices are generally reserved for clinical gait laboratories and imply supervision from expert clinical resources [11, 12, 45, 46, 47, 48].
The acquired sensor signal data can be post-processed and applied to sophisticated techniques, such as machine learning, for distinguishing between various states of health during gait. Two particular types sensor signal are the force plate and optical motion camera [49, 50, 51, 52, 53, 54]. The force plate provides kinetic signal data, and the optical motion camera provides kinematic signal data. The force plate and optical motion camera can be operated in tandem and synchronicity to derive clinically significant information about gait, such as ankle torque derived during stance [48].
These electro-mechanical systems enable quantification of human movement features, such as reflex response, gait, and movement disorders, through the acquired sensor signal data [31, 32, 33, 34, 35, 36, 37, 38, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54]. Although these electro-mechanical systems are clinically standard, they are generally constrained to a clinical laboratory. Furthermore, the majority of these devices both require specialized resources for their experimental operation, and they are predominantly not portable [1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 47, 48].
By contrast, the functionally wearable with wireless inertial sensor system considerably alleviates the constraints of specialized resources through simplified means of activating the inertial sensor signal recording. These devices constitute portable systems, and they are functionally wearable [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]. The origins of the advent of Network Centric Therapy commence with the research, development, testing, and evaluation for quantifying reflex response and latency, which subsequently lead to the extrapolation to the domains of wearable and wireless inertial sensors for gait and movement disorder quantification.
4. Evolutionary pathway for Network Centric Therapy with respect to quantification of reflex response and latency
The global evolutionary pathway for Network Centric Therapy derives from the Ph.D. Dissertation research conducted by Dr. LeMoyne, which lead to the progressive development of a device known as the Wireless Quantified Reflex Device through the incremental develop of four generations. The preliminary success involved the quantification of reflex response through locally wireless accelerometers. In order to measure the response of the patellar tendon reflex, the wireless accelerometers were mounted proximal to the lateral malleolus, which signified their wearable capability [17, 18, 40].
The original wireless accelerometers were provided through internal UCLA research, and they were referred to as MedNodes. The MedNodes required specialized operation, as they were the scope of graduate-level research at UCLA. These wireless accelerometer nodes that were noted as conveniently wearable were applied to the first and second generations of the Wireless Quantified Reflex Device, and the quantification of the patellar tendon reflex was measured in an accurate and reliable manner. The collected signal data of the wireless accelerometer was transmitted to a locally situated computer for post-processing [55, 56]. Central to all four generations of the Wireless Quantified Reflex Device was the integration of a quantified potential energy impact pendulum to consistently evoke the patellar tendon reflex [17, 18, 39, 40, 55, 56].
The third and fourth generations of the Wireless Quantified Reflex Device included a second wireless accelerometer to determine the time of impact for the quantified potential energy impact pendulum. The first wireless accelerometer was mounted to the ankle to quantify reflex response and time of response. Using the temporal offset of the wireless accelerometer mounted on the impact pendulum evoking the patellar tendon reflex and the wireless accelerometer mounted about the lateral malleolus mounted about the ankle to measure reflex response, a functional patellar tendon reflex latency was derived. The third and fourth generations of the Wireless Quantified Reflex Device incorporated the G-link wireless accelerometer developed by Microstrain [17, 18, 39, 40].
The third generation Wireless Quantified Reflex Device utilized streaming signal data to the locally situated portable computer for acquisition of the accelerometer signal data and subsequent post-processing. The third generation Wireless Quantified Reflex Device was the first evolution to feature the ability to derive functional reflex latency through the tandem wireless accelerometers with one wireless accelerometer located on the potential energy impact pendulum that evokes the patellar tendon reflex and the other wireless accelerometer mounted proximal to the lateral malleolus of the ankle for also acquiring reflex response. The research findings demonstrated that patellar tendon reflex response and associated functional latency could be both quantified with considerable accuracy and reliability [39].
The observations of the third generation Wireless Quantified Reflex Device established opportunity for improvement, such as increasing the sampling rate for the tandem accelerometers. This improvement would implicate better acuity with respect to the derived functional latency of the patellar tendon reflex. An artificial reflex device was applied as intermediary before the development of the fourth generation Wireless Quantified Reflex Device. This intermediary device utilized the data logger of the G-link wireless accelerometers, which permitted augmented sampling rates, while retaining wireless connectivity to a local portable computer for accelerometer signal data downloading and post-processing [57, 58, 59].
The fourth generation Wireless Quantified Reflex Device successful applied a longitudinal study for multiple subjects. With the wireless accelerometer set to data logger configuration with subsequent wireless transmission, the Wireless Quantified Reflex Device successfully acquired patellar tendon reflex response and functional latency with considerable accuracy, reliability, and reproducibility [40]. Subsequent evolutions encompass the application of more robust wearable and wireless inertial sensor systems and conjunction with machine learning to distinguish a hemiplegic reflex pair regarding affected patellar tendon reflex and associated unaffected patellar tendon reflex [60, 61, 62].
The next improvement incorporated the use of the portable media device and smartphone for the quantification of reflex response as a functional wireless accelerometer platform using the potential energy impact pendulum to evoke the patellar tendon reflex [63, 64]. The portable media device was suited for facilities with local wireless internet zones [63]. For locations requiring broad telecommunication access, the smartphone provides better benefit [64]. Both applications feature a common software application that enables a discrete recording of the accelerometer signal for quantifying the reflex response, and the signal data can be attached to an email for wireless transmission to the Internet for post-processing anywhere in the world [63, 64].
For example, LeMoyne and Mastroianni conducted an experiment to quantify reflex response using a portable media device applying supramaximal stimulation of the patellar tendon reflex in Lhasa, Tibet of China. The signal data was wirelessly transmitted to the Internet as an email attachment, which served as a provisional Cloud computing resource. The data was later downloaded in Flagstaff, Arizona of the United States of America, which is effectively on the other side of the world, for post-processing [65].
Further advancements of the concept of quantifying reflex response, such as the patellar tendon, pertained to using the accelerometer signal, such as through a portable media device, to differentiate between a hemiplegic reflex pair. The hemiplegic affected leg’s patellar tendon reflex response is notably more amplified relative to the patellar tendon reflex response of the unaffected leg. By consolidating the respective accelerometer signals to a feature set for machine learning classification using the support vector machine available through the Waikato Environment for Knowledge Analysis (WEKA) considerable machine learning classification accuracy was attained [60]. This achievement is notable, since subjective clinical observations to distinguish between a hemiplegic reflex pair is a matter of contention [21].
The gyroscope was eventually incorporated in the inertial sensor package of portable media devices and smartphones. The gyroscope provides a clinical representation for rotational characteristics of a joint, which represents the response of the patellar tendon reflex. Successfully demonstration of the gyroscope to quantify the patellar tendon reflex was demonstrated in the context of the Wireless Quantified Reflex Device through the potential energy impact pendulum [61, 62, 66, 67, 68].
Using both the potential energy impact pendulum and supramaximal stimulation to evoke the patellar tendon reflex response multiple machine learning algorithms using WEKA have achieved considerable classification accuracy [60, 61, 62, 66, 67]. Figures 1 and 2 represent the gyroscope signal for the reflex response of the hemiplegic affected leg and unaffected leg, respectively. Machine learning algorithms, such as the J48 decision tree, provide a visualized basis for the most prevalent numeric attributes to establish classification accuracy, such as the time disparity between maximum and minimum angular rate of rotation for the patellar tendon reflex response, as illustrated in Figure 3 [67].
Figure 1.
The gyroscope signal of the patellar tendon reflex response for the hemiplegic affected leg using the potential energy impact pendulum to evoke the reflex [67].
Figure 2.
The gyroscope signal of the patellar tendon reflex response for the unaffected leg using the potential energy impact pendulum to evoke the reflex [67].
Figure 3.
The J48 decision tree to distinguish between a hemiplegic affected leg and unaffected leg, for which the time disparity between maximum and minimum angular rate of rotation for the patellar tendon reflex response numeric attribute is illustrated as the most prevalent for establishing classification accuracy [67].
5. Lessons learned through the research, test, and evaluation of the Wireless Quantified Reflex Device for the broader evolution of Network Centric Therapy, such as gait and movement disorder quantification
A readily noted capability observed by LeMoyne and Mastroianni was that since the wireless accelerometer was functionally wearable for the quantification of reflex response through mounting about the lateral malleolus of the patellar tendon, likewise the same mounting procedure could be applied for quantifying gait patterns [11, 12, 17]. Alternative mounting configurations, such as the lateral epicondyle proximal to the knee, were also feasible for assessing gait in a quantified context [11]. Additionally, the smartphone and portable media device were suitable candidates to represent functionally wearable and wireless inertial sensor systems (both accelerometers and gyroscopes) for gait quantification and eventually machine learning classification [3, 4, 5, 6, 7, 8, 9, 10]. These concepts were also applied to the quantification of movement disorders through the mounting of wearable and wireless inertial sensor systems about the dorsum of the hand [1, 2, 5, 6, 7, 8, 9, 10].
6. Evolutionary pathway for Network Centric Therapy with respect to quantification of gait
Preliminary attempts to apply functionally wearable wireless accelerometers to measure gait characteristics consisted of segmented subsystems and in some cases complex mounting techniques exceeding the knowledge of the common user [69, 70, 71, 72]. The highly miniaturized, portable, and non-intrusive nature of the G-link wireless accelerometer developed by Microstrain demonstrate its robust capability for quantifying gait characteristics [11]. Proof of concept from an engineering perspective was demonstrated for the identification of quantified disparity of hemiplegic gait and Virtual Proprioception to enable real-time rehabilitation of hemiplegic gait [73, 74, 75, 76].
Preliminary research, development, testing, and evaluation by LeMoyne et al. applied the G-link Microstrain wireless accelerometer to ascertain quantified disparity of hemiplegic gait. The wireless accelerometer nodes were effectively wearable. They could be mounted about the lateral epicondyle proximal to the knee through an elastic band or about the lateral malleolus near the ankle using the elastic band of a sock [74, 75].
The wireless accelerometer achieved connectivity to a locally situated personal computer, which would then serve as the basis for post-processing. Using the acceleration magnitude of the three-dimensional orthogonal acceleration signal, characteristic spikes of the acceleration magnitude signal represented the initiation of stance. The time averaged acceleration from stance to stance enabled the quantification of gait characteristics [74, 75]. Furthermore, through the ratio of the hemiplegic affected leg to the unaffected leg using the time averaged acceleration from stance to stance, the quantified disparity of hemiplegic gait could be quantified with the potential for deriving therapeutic intervention for rehabilitation [74]. Functionally wearable and locally wireless accelerometers have also been applied to successfully contrast hemiplegic gait with respect to the frequency domain [73]. Other applications of wireless accelerometer systems that are functionally wearable have been successfully demonstrated for the context of effectively autonomous gait analysis based on quantified data derived from the acceleration signal [11, 12, 69, 70, 71, 72].
Virtual Proprioception expanded the capabilities of functionally wearable wireless accelerometers for real-time modification of hemiplegic gait based on accelerometer signal data. The wireless accelerometers were mounted by flexible elastic bands proximal to the lateral epicondyle of the knee for both the unaffected leg and hemiplegic affected leg. Based on a visual feedback strategy the person with hemiplegic gait was able to modify the hemiplegic affected leg to a more representative acceleration signal representative of the unaffected leg [76].
During 2010 LeMoyne and Mastroianni sought to expand the availability of wearable and wireless accelerometer systems for quantifying gait in the context of more commercially available systems. The smartphone of that timeframe was equipped with an internal accelerometer. Additionally, the smartphone is inherently capable of wirelessly accessing the Internet. A software application for recording the accelerometer data for a prescribed duration and sampling rate with wireless transfer to the Internet as an email attachment enables the smartphone to function as a wearable and wireless inertial sensor system. The email resource represents a provisional representation of a Cloud computing resource. These characteristics enable the smartphone to quantify gait features in the context of a wearable and wireless inertial sensor system [77]. These preliminary capabilities constitute the origins of Network Centric Therapy for the domain of gait analysis [3, 4, 5, 6, 7, 78].
Preliminary testing and evaluation of the smartphone as a wearable and wireless inertial sensor system for gait analysis was conducted in region of Pittsburgh, Pennsylvania. The experimental gait analysis accelerometer data was conveyed wirelessly to the Internet as an email attachment for subsequent post-processing in the general area of Los Angeles, California. The implications were that experimental and post-processing locations could be geographically separated anywhere in the world with Internet connectivity [77].
The preliminary gait experiment of 2010 implementing the smartphone as a wearable and wireless inertial sensor system through the internal accelerometer involved mounting the smartphone proximal to the lateral malleolus of the ankle joint by an elastic band. Two primary gait characteristics were quantified, such as the temporal duration between stance to stance and time averaged acceleration from stance to stance. These parameters acquired by the smartphone functioning as a wearable and wireless inertial sensor system through the available accelerometer demonstrated considerable accuracy and reliability [77].
Additional and similar themed experiments pertained to quantification of gait through other mounting applications, which underscores the flexibility of the smartphone as a wearable and wireless inertial sensor system. The two other mounting positions involved the lateral epicondyle near the knee joint and lumbar-sacral aspect of the spine through an elastic band. The temporal duration between stance to stance cycle displayed considerable accuracy and reliability and successfully elucidated predominant frequencies in the context of the frequency domain with respect to both mounting strategies [79, 80].
Another device that is similar to the smartphone for applications as a wearable and wireless inertial sensor system for the quantification of gait is the portable media device. The portable media device can utilize the same software application as relevant to the smartphone. Although the portable media device is generally restricted to an area with local internet connectivity, this device has a lighter mass and is more affordable for tandem applications involving both legs for gait analysis [3, 4, 5, 6, 7, 8, 9, 10, 78].
Preliminary, testing of the portable media device was successfully demonstrated with mounting about the lateral malleolus of the leg by an elastic band. The accelerometer of the portable media device successfully quantified gait in an accurate and consistent manner. The experimental data was conveyed by wireless transmission through the Internet as an email attachment, and the experimental and post-processing resources were situated on opposite sides of the continental United States. Post-processing emphasized the derivation of step cycle time (stance to stance) and time averaged acceleration (stance to stance) [81].
An observation of the portable media device is that it is more affordable than the smartphone, such as for the application of two tandem operated portable media devices for quantifying the disparity of hemiplegic gait. LeMoyne and Mastroianni incorporated two portable media devices in the context of a wearable and wireless inertial sensor system, such as an accelerometer, for quantifying hemiplegic gait respective of the unaffected leg and the hemiplegic affected leg. The devices were mounted about the lateral malleolus of the ankle joint through an elastic band for both the unaffected leg and the hemiplegic affected leg. The tandem activated portable media devices successfully demonstrated the ability to quantitatively identify stance to stance temporal duration and stance to stance time averaged acceleration of the hemiplegic affected leg and unaffected leg with statistical significance. Also, the ratio of stance to stance time averaged acceleration less the offset for the hemiplegic affected leg and unaffected leg demonstrated quantified disparity [82].
Eventually a strategy for using a singular smartphone to quantify hemiplegic gait and its associated disparity was established with the incorporation of a treadmill to maintain constant velocity. The smartphone functioning as a wearable and wireless accelerometer platform was mounted about the lateral malleolus of the ankle by an elastic band. Automated post-processing software emphasized the rhythmic characteristics of gait and acquired gait parameters, such as stance to stance temporal disparity and stance to stance time averaged acceleration. The stance to stance temporal disparity did not display statistical significance, because of the treadmill velocity constraint. Statistical significance was achieved for stance to stance time averaged acceleration with respect to comparing the hemiplegic affected leg to the unaffected leg. This experimental configuration enables the evaluation and quantification of gait in an autonomous environment [83].
Evolutionary trends eventually enabled the smartphone to quantify gait through the internal gyroscope, which offers a more clinically representative kinematic signal. The strategy of conducting gait analysis constrained to a constant velocity by a treadmill was applied. A smartphone functioning as a wearable and wireless gyroscope platform quantified hemiplegic gait in terms of both the affected leg and unaffected leg with mounting about the lateral malleolus near the ankle joint through an elastic band. The gyroscope signal was consolidated to a feature set during the post-processing phase, which consisted of five numeric attributes: maximum, minimum, mean, standard deviation, and coefficient of variation. Using the multilayer perceptron neural network considerable classification accuracy was attained for distinguishing between the hemiplegic affected leg and unaffected leg during gait [84].
Additionally, the smartphone through its internal inertial sensor system has been applied to other applications pertaining to the domain of gait analysis and associated mobility. Smartphones have been successfully incorporated for augmenting the acuity of clinically standard evaluations, such as the Timed Up and Go and 6-Minute Walk Test [85, 86, 87]. An observed utility of the strategy of augmenting clinically standard evaluation techniques with functionally wearable and wireless inertial sensor systems, such as the smartphone, is the ability to evolve a clinical method rather than inventing a new methodology.
During this phase of the evolutionary process that lead to the realization of Network Centric Therapy a new observation occurred. Smartphones and portable media devices can function as representative and effective wearable and wireless inertial sensor systems. However, their evolutionary pathway is not consistent with the biomedical and healthcare domain. A new perspective for wearable and wireless inertial sensor systems was developed, which incorporated inertial sensor nodes with local wireless connectivity to a device, such as a smartphone or tablet, with considerably expanded wireless access to the Internet. This paradigm shift enabled considerable reduction in mass and volumetric profile for the wearable and wireless inertial sensor system. This strategy enabled segmented wireless access of the inertial signal data for connectivity to a Cloud computing resource [88].
During 2016 LeMoyne et al. utilized a wearable and wireless inertial sensor system architecture in the context of Network Centric Therapy for the evaluation of gait for subject’s with Friedreich’s ataxia. The system applied local wearable and wireless inertial sensor nodes with local wireless connectivity to a tablet with global wireless access to a Cloud computing environment. A multilayer perceptron neural network achieved considerable classification accuracy to distinguish between a person with healthy gait and gait for a person with Friedreich’s ataxia [89].
The current state of the art for demonstrating the capability of Network Centric Therapy involves the recent test and evaluation of the BioStamp nPoint, which represents a conformal wearable and wireless inertial sensor system. The BioStamp nPoint achieves wireless connectivity for acquiring signal data for quantifying gait in a segmented manner through wireless systems, such as a tablet for operation and smartphone for Cloud computing access. Figure 4 presents the supporting apparatus for the BioStamp nPoint conformal wearable and wireless inertial sensor system [90].
Figure 4.
The BioStamp nPoint conformal wearable and wireless inertial sensor system and supporting devices, such as docking station, tablet, and smartphone [90].
Recently, during 2020 LeMoyne and Mastroianni applied the BioStamp nPoint to quantify hemiplegic gait with distinction through machine learning. The BioStamp nPoint conformal wearable and wireless inertial sensor system was mounted by adhesive medium to both the hemiplegic affected leg and unaffected leg about the femur and proximal to the patella as shown in Figure 5. The subject walked on a treadmill for the experiment [91].
Figure 5.
The BioStamp nPoint conformal wearable and wireless inertial sensor system mounted about the femur for the quantification of hemiplegic gait [91].
The gyroscope signal revealed notable disparity respective of the affected leg and unaffected leg during gait as presented in Figures 6 and 7 respectively. Post-processing of the gyroscope signal data consolidated a feature set consisting of five numeric attributes based on descriptive statistics, such as maximum, minimum, mean, standard deviation, and coefficient of variation. Multiple machine learning classification algorithms, such as the support vector machine and multilayer perceptron neural network, achieved considerable classification accuracy to distinguish between the hemiplegic affected leg and unaffected leg [91, 92].
Figure 6.
The BioStamp nPoint conformal wearable and wireless inertial sensor signal for the hemiplegic affected leg [91].
Figure 7.
The BioStamp nPoint conformal wearable and wireless inertial sensor signal for the unaffected leg [91].
7. Evolutionary pathway for Network Centric Therapy with respect to quantification of movement disorders, such as Parkinson’s disease and Essential tremor
Functionally wearable accelerometer systems have been demonstrated for the quantification of movement disorder and also their response to intervention strategy [11, 12, 93, 94, 95, 96, 97, 98]. With the evolution of wireless technology other traditional inertial signal data transfer strategies have become effectively obsolete [99]. Intuitively, the G-link wireless accelerometer was a candidate for testing and evaluating the quantification of tremor associated with movement disorders [11, 12, 100, 101, 102, 103].
Preliminary demonstration of the G-link wireless accelerometer showed the ability to quantify simulated Parkinson’s disease hand tremor by mounting the device to the dorsum of the hand [100, 101]. Eventually simulated Parkinson’s disease tremor was contrasted to a static condition. Post-processing of the signal data involved the time averaged acceleration, for which statistical significance was achieved [100]. A similar wireless inertial sensor system configuration was successfully demonstrated for the quantification of Parkinson’s disease hand tremor within this timeframe [104].
LeMoyne and Mastroianni during 2010 extended the capability of wearable and wireless inertial sensor systems for quantifying Parkinson disease hand tremor through the application of a smartphone. A software application enabled the smartphone to quantify hand tremor for a prescribed temporal duration through the smartphone’s internal accelerometer. The accelerometer signal data was conveyed by wireless connectivity to the Internet as an email attachment. Statistical significance was achieved with respect to the subject with Parkinson’s disease hand tremor and subject without Parkinson disease. Notably, the experiment occurred in metropolitan Pittsburgh, Pennsylvania and the post-processing was conducted in the general area of Los Angeles, California [105]. The research team observed that experimental and post-processing resources could be geographically separated anywhere in the world with Internet access [1, 2, 5, 6, 7, 8, 9, 10, 105, 106]. This observation constitutes the origins of Network Centric Therapy with regards to movement disorders [1, 2, 5, 6, 7, 106].
Using the smartphone as an inertial sensor platform with wearable properties the recorded signal data can represent instrumental feedback with respect to the efficacy of therapy response. For example, with machine learning classification the smartphone functioning as a wearable and wireless inertial sensor platform can distinguish between deep brain stimulation set to ‘On’ and ‘Off’ status. A person with Essential tremor performed a reach and grasp task with a smartphone mounted to the dorsum of the hand by a latex glove. Post-processing consolidated the inertial signal data to a feature set amenable for machine learning classification, and considerable classification accuracy was achieved through the application of a support vector machine to differentiate between deep brain stimulation set to ‘On’ and ‘Off’ status [107]. In conjunction with the preliminary success of the research with respect to Essential tremor and deep brain stimulation set to ‘On’ and ‘Off’ status the multilayer perceptron neural network also attained considerable machine learning classification accuracy for differentiating these deep brain stimulation settings [108].
Another extrapolation of this research perspective involved considering six machine learning algorithms: multilayer perceptron neural network, support vector machine, K-nearest neighbors, logistic regression, J48 decision tree, and random forest. The reach and grasp task was applied for a subject with Essential tremor treated by deep brain stimulation with respect to ‘On’ and ‘Off’ status. Three feature set scenarios were addressed to determine the most appropriate machine learning algorithms: accelerometer and gyroscope signal recordings, accelerometer signal recordings, and gyroscope signal recordings. The multilayer perceptron neural network, support vector machine, K-nearest neighbors, and logistic regression achieved the highest classification accuracy in consideration of these three feature set scenarios [109].
The accelerometer and gyroscope intrinsic to the smartphone was also applied for the evaluation of deep brain stimulation efficacy for the treatment of Parkinson’s disease. Deep brain stimulation was set to ‘On’ and ‘Off’ status with the hand tremor response measured by a smartphone mounted to the dorsum of the hand through a latex glove. Multiple machine learning algorithms were evaluated: multilayer perceptron neural network, support vector machine, K-nearest neighbors, logistic regression, J48 decision tree, and random forest. The feature set consisted of descriptive statistics for both the accelerometer and gyroscope signal data. Two performance parameters were considered, such as classification accuracy and time to develop the machine learning model. The support vector machine and logistic regression best satisfied these two performance parameters [110]. The multilayer perceptron neural network achieved considerable classification accuracy to distinguish between the deep brain stimulation set to ‘On’ and ‘Off’ status for Parkinson’s disease hand tremor, but the time to develop the model was considerably protracted [110, 111].
Network Centric Therapy was further realized for the domain of movement disorders through the BioStamp nPoint. The BioStamp nPoint is a conformal wearable and wireless inertial sensor system with segmented operation and wireless transmission of signal data to a secure Cloud computing environment with wireless connectivity to a smartphone and tablet. The conformal sensors also have a mass less than ten grams and a profile on the order of a bandage. Additionally, the BioStamp nPoint is certified as an FDA 510(k) medical device for the acquisition of medical grade data [5, 90]. These attributes of the BioStamp nPoint ideally accommodate the quantification of movement disorder tremor response, such as for Parkinson’s disease, based on deep brain stimulation intervention through mounting about the dorsum of the hand using an adhesive medium as illustrated in Figure 8 [112].
Figure 8.
The BioStamp nPoint conformal wearable and wireless inertial sensor system mounted about the dorsum of the hand for quantifying movement disorder tremor response, such as for Parkinson’s disease, as a result of deep brain stimulation intervention [112].
Multiple sets of deep brain stimulation parameter configurations have been evaluated for the treatment of Parkinson’s disease using the BioStamp nPoint to quantify the response and machine learning to distinguish the respective parameter configurations [112, 113, 114, 115]. The BioStamp nPoint was mounted to the dorsum of the hand through an adhesive medium. The deep brain stimulation amplitude was evaluated at multiple settings, such as ‘Off’ status as a baseline, amplitude set to 1.0 mA, 2.5 mA, and 4.0 mA. The acceleration signal derived from the BioStamp nPoint conformal wearable and wireless inertial sensor system was post-processed to present the acceleration magnitude as illustrated in Figures 9–12 [112].
Figure 9.
Acceleration magnitude derived from the BioStamp nPoint conformal wearable and wireless inertial sensor system for hand tremor from a subject with Parkinson’s disease with deep brain stimulation set to ‘Off’ status [112].
Figure 10.
Acceleration magnitude derived from the BioStamp nPoint conformal wearable and wireless inertial sensor system for hand tremor from a subject with Parkinson’s disease with deep brain stimulation set to amplitude equal to 1.0 mA [112].
Figure 11.
Acceleration magnitude derived from the BioStamp nPoint conformal wearable and wireless inertial sensor system for hand tremor from a subject with Parkinson’s disease with deep brain stimulation set to amplitude equal to 2.5 mA [112].
Figure 12.
Acceleration magnitude derived from the BioStamp nPoint conformal wearable and wireless inertial sensor system for hand tremor from a subject with Parkinson’s disease with deep brain stimulation set to amplitude equal to 4.0 mA [112].
The acceleration magnitude signal data was consolidated to a feature set though Python. The feature set was composed of numeric attributes, such as maximum, minimum, mean, standard deviation, and coefficient of variation. Machine learning algorithms, such as J48 decision tree, K-nearest neighbors, support vector machine, logistic regression, and random forest were contrasted in terms of their classification accuracy and time to develop the machine learning model. Based on these criteria the K-nearest neighbors machine learning algorithm displayed the optimal satisfaction of classification accuracy in conjunction with time to develop the machine learning model and the support vector machine achieved the optimal classification accuracy [112]. The multilayer perceptron neural network also demonstrated considerable classification accuracy [113].
Deep learning was then applied to distinguish between deep brain stimulation parameter configuration settings for the treatment of Parkinson’s disease, such as ‘Off’ status as a baseline, amplitude set to 1.0 mA, amplitude set to 1.75 mA, amplitude set to 2.5 mA, amplitude set to 3.25 mA, and amplitude set to 4.0 mA. The BioStamp nPoint conformal wearable and wireless inertial sensor system provided the accelerometer signal data. The post-processing was facilitated by Google Colab and TensorFlow to implement a convolutional neural network. The convolutional neural network achieved considerable classification accuracy to distinguish between all six of these parameter configurations [116, 117].
8. Future perspectives for Network Centric Therapy for reflex, gait, and movement disorder assessment with machine learning
Network Centric Therapy is anticipated to have a transformative influence on the healthcare and biomedical industry. Conformal wearable and wireless inertial sensor systems are envisioned to enable historical and distinctly quantified data for subjects undergoing rehabilitation and subjects with neurodegenerative movement disorders, such as Parkinson’s disease and Essential tremor. Data science methodologies can be incorporated to optimize the respective therapy strategy. With the amalgamation of machine learning and eventually deep learning conformal wearable and wireless inertial sensor systems are predicted to considerably advance augmented clinical situational awareness for diagnostic and prognostic capabilities. In particular, with the Cloud computing accessibility intrinsic to Network Centric Therapy, the most talented clinical resources from anywhere in the world can provide optimal patient specific rehabilitation and therapy to subjects from the convenience of a homebound setting. Additionally, the inherent aspects of Network Centric Therapy, such as conformal wearable and wireless inertial sensor systems, machine learning, and Cloud computing access, imply a plausible pathway to the closed-loop optimization of deep brain stimulation parameter configurations.
9. Conclusion
The evolutionary perspective for the advent of Network Centric Therapy for the domains of assessing reflex, gait, and movement disorders have been thoroughly discussed. Inherent aspects pertaining to Network Centric Therapy involve wearable and wireless inertial sensor systems, machine learning, and Cloud computing access for the acquired inertial sensor signal data. The implications are that expert clinicians can access a patient’s health status based on the wearable and wireless inertial sensor system signal data from anywhere in the world. These achievements constitute a significant evolution relative to traditional ordinal scale methodologies and electro-mechanical signal data obtained by clinical laboratory resources. Conformal wearable and wireless inertial sensor systems have further evolved the capabilities of Network Centric Therapy. In the future Network Centric Therapy is envisioned to augment clinical diagnostic and prognostic acuity, optimize rehabilitation, and enable closed-loop optimization of deep brain stimulation parameter configurations.
\n',keywords:"wearable systems, wireless systems, accelerometers, gyroscopes, smartphones, portable media devices, machine learning, reflex, gait, movement disorder",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/74888.pdf",chapterXML:"https://mts.intechopen.com/source/xml/74888.xml",downloadPdfUrl:"/chapter/pdf-download/74888",previewPdfUrl:"/chapter/pdf-preview/74888",totalDownloads:286,totalViews:0,totalCrossrefCites:1,dateSubmitted:"May 29th 2020",dateReviewed:"December 18th 2020",datePrePublished:"February 1st 2021",datePublished:"September 15th 2021",dateFinished:"January 21st 2021",readingETA:"0",abstract:"Wearable and wireless systems have progressively evolved to achieve the capabilities of Network Centric Therapy. Network Centric Therapy comprises the application of wearable and wireless inertial sensors for the quantification of human movement, such as reflex response, gait, and movement disorders, with machine learning classification representing advanced diagnostics. With wireless access to a functional Cloud computing environment Network Centric Therapy enables subjects to be evaluated at any location of choice with Internet connectivity and expert medical post-processing resources situated anywhere in the world. The evolutionary origins leading to the presence of Network Centric Therapy are detailed. With the historical perspective and state of the art presented, future concepts are addressed.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/74888",risUrl:"/chapter/ris/74888",signatures:"Robert LeMoyne and Timothy Mastroianni",book:{id:"8086",type:"book",title:"Wireless Sensor Networks",subtitle:"Design, Deployment and Applications",fullTitle:"Wireless Sensor Networks - Design, Deployment and Applications",slug:"wireless-sensor-networks-design-deployment-and-applications",publishedDate:"September 15th 2021",bookSignature:"Siva S. Yellampalli",coverURL:"https://cdn.intechopen.com/books/images_new/8086.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",isbn:"978-1-83880-910-2",printIsbn:"978-1-83880-909-6",pdfIsbn:"978-1-83880-911-9",isAvailableForWebshopOrdering:!0,editors:[{id:"62863",title:"Dr.",name:"Siva",middleName:null,surname:"Yellampalli",slug:"siva-yellampalli",fullName:"Siva Yellampalli"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:[{id:"2168",title:"Mr.",name:"Timothy",middleName:null,surname:"Mastroianni",fullName:"Timothy Mastroianni",slug:"timothy-mastroianni",email:"cognitionengineering@gmail.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Northern Arizona University",institutionURL:null,country:{name:"United States of America"}}},{id:"197088",title:"Dr.",name:"Robert",middleName:null,surname:"LeMoyne",fullName:"Robert LeMoyne",slug:"robert-lemoyne",email:"rlemoyne07@gmail.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Northern Arizona University",institutionURL:null,country:{name:"United States of America"}}}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Ordinal methodologies for quantifying reflex response, gait, and movement disorder",level:"1"},{id:"sec_3",title:"3. Electro-mechanical systems providing signal data for quantifying reflex response, gait, and movement disorder",level:"1"},{id:"sec_4",title:"4. Evolutionary pathway for Network Centric Therapy with respect to quantification of reflex response and latency",level:"1"},{id:"sec_5",title:"5. Lessons learned through the research, test, and evaluation of the Wireless Quantified Reflex Device for the broader evolution of Network Centric Therapy, such as gait and movement disorder quantification",level:"1"},{id:"sec_6",title:"6. Evolutionary pathway for Network Centric Therapy with respect to quantification of gait",level:"1"},{id:"sec_7",title:"7. Evolutionary pathway for Network Centric Therapy with respect to quantification of movement disorders, such as Parkinson’s disease and Essential tremor",level:"1"},{id:"sec_8",title:"8. Future perspectives for Network Centric Therapy for reflex, gait, and movement disorder assessment with machine learning",level:"1"},{id:"sec_9",title:"9. Conclusion",level:"1"}],chapterReferences:[{id:"B1",body:'LeMoyne R, Mastroianni T, Whiting D, Tomycz N. Wearable and Wireless Systems for Healthcare II: Movement Disorder Evaluation and Deep Brain Stimulation Systems. Springer, Singapore; 2019.'},{id:"B2",body:'LeMoyne R, Mastroianni T, Whiting D, Tomycz N. Wearable and Wireless Systems for Movement Disorder Evaluation and Deep Brain Stimulation Systems. Wearable and Wireless Systems for Healthcare II: Movement Disorder Evaluation and Deep Brain Stimulation Systems 2019 (pp. 1-15). Springer, Singapore.'},{id:"B3",body:'LeMoyne R, Mastroianni T. Wearable and Wireless Systems for Healthcare I: Gait and Reflex Response Quantification. Springer, Singapore; 2018.'},{id:"B4",body:'LeMoyne R, Mastroianni T. Wearable and Wireless Systems for Gait Analysis and Reflex Quantification. 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IEEE Transactions on Information Technology in Biomedicine. 2008 Jul;12(4):413-423.'},{id:"B70",body:'Lee JA, Cho SH, Lee JW, Lee KH, Yang HK. Wearable accelerometer system for measuring the temporal parameters of gait. In Proceedings of 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2007 Aug (pp. 483-486).'},{id:"B71",body:'Saremi K, Marehbian J, Yan X, Regnaux JP, Elashoff R, Bussel B, Dobkin BH. Reliability and validity of bilateral thigh and foot accelerometry measures of walking in healthy and hemiparetic subjects. Neurorehabilitation and Neural Repair. 2006 Jun;20(2):297-305.'},{id:"B72",body:'Kavanagh JJ, Morrison S, James DA, Barrett R. Reliability of segmental accelerations measured using a new wireless gait analysis system. Journal of Biomechanics. 2006 Jan;39(15):2863-2872.'},{id:"B73",body:'LeMoyne R, Mastroianni T, Grundfest W. Wireless accelerometer system for quantifying disparity of hemiplegic gait using the frequency domain. Journal of Mechanics in Medicine and Biology. 2013 Jun;13(03):1350035.'},{id:"B74",body:'LeMoyne R, Coroian C, Mastroianni T, Grundfest W. Wireless accelerometer assessment of gait for quantified disparity of hemiparetic locomotion. Journal of Mechanics in Medicine and Biology. 2009 Sep;9(03):329-343.'},{id:"B75",body:'Lemoyne R, Coroian C, Mastroianni T. Wireless accelerometer system for quantifying gait. In Proceedings of IEEE ICME International Conference on Complex Medical Engineering 2009 Apr (pp. 1-4).'},{id:"B76",body:'LeMoyne R, Coroian C, Mastroianni T, Grundfest W. Virtual proprioception. Journal of Mechanics in Medicine and Biology. 2008 Sep;8(03):317-338.'},{id:"B77",body:'LeMoyne R, Mastroianni T, Cozza M, Coroian C, Grundfest W. Implementation of an iPhone as a wireless accelerometer for quantifying gait characteristics. In Proceedings of 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2010 Aug (pp. 3847-3851).'},{id:"B78",body:'LeMoyne R, Mastroianni T. Smartphones and Portable Media Devices as Wearable and Wireless Systems for Gait and Reflex Response Quantification. Wearable and Wireless Systems for Healthcare I: Gait and Reflex Response Quantification 2018 (pp. 73-93). Springer, Singapore.'},{id:"B79",body:'LeMoyne R, Mastroianni T, Cozza M, Coroian C. Quantification of gait characteristics through a functional iPhone wireless accelerometer application mounted to the spine. In Proceedings of Frontiers in Biomedical Devices 2010 Sep (Vol. 49453, pp. 87-88). American Society of Mechanical Engineers.'},{id:"B80",body:'LeMoyne R, Mastroianni T, Cozza M, Coroian C. iPhone wireless accelerometer application for acquiring quantified gait attributes. In Proceedings of Frontiers in Biomedical Devices 2010 Sep (Vol. 49453, pp. 19-20). American Society of Mechanical Engineers.'},{id:"B81",body:'LeMoyne R, Mastroianni T, Grundfest W. Wireless accelerometer iPod application for quantifying gait characteristics. In Proceedings of 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2011 Sep (pp. 7904-7907).'},{id:"B82",body:'LeMoyne R, Mastroianni T. Implementation of an iPod application as a wearable and wireless accelerometer system for identifying quantified disparity of hemiplegic gait. Journal of Medical Imaging and Health Informatics. 2014 Aug;4(4):634-641.'},{id:"B83",body:'LeMoyne R, Mastroianni T. Implementation of a smartphone as a wireless accelerometer platform for quantifying hemiplegic gait disparity in a functionally autonomous context. Journal of Mechanics in Medicine and Biology. 2018 Mar;18(02):1850005.'},{id:"B84",body:'LeMoyne R, Mastroianni T. Implementation of a smartphone as a wearable and wireless gyroscope platform for machine learning classification of hemiplegic gait through a multilayer perceptron neural network. In Proceedings of IEEE 17th International Conference on Machine Learning and Applications (ICMLA) 2018 Dec (pp. 946-950).'},{id:"B85",body:'Capela NA, Lemaire ED, Baddour N. Novel algorithm for a smartphone-based 6-minute walk test application: algorithm, application development, and evaluation. Journal of Neuroengineering and Rehabilitation. 2015 Dec;12(1):19.'},{id:"B86",body:'Galán-Mercant A, Barón-López FJ, Labajos-Manzanares MT, Cuesta-Vargas AI. Reliability and criterion-related validity with a smartphone used in timed-up-and-go test. Biomedical Engineering Online. 2014 Dec;13(1):156.'},{id:"B87",body:'Mellone S, Tacconi C, Chiari L. Validity of a smartphone-based instrumented Timed Up and Go. Gait & Posture. 2012 May;36(1):163-165.'},{id:"B88",body:'LeMoyne R, Mastroianni T. Bluetooth Inertial Sensors for Gait and Reflex Response Quantification with Perspectives Regarding Cloud Computing and the Internet of Things. Wearable and Wireless Systems for Healthcare I: Gait and Reflex Response Quantification 2018 (pp. 95-103). Springer, Singapore.'},{id:"B89",body:'LeMoyne R, Heerinckx F, Aranca T, De Jager R, Zesiewicz T, Saal HJ. Wearable body and wireless inertial sensors for machine learning classification of gait for people with Friedreich\'s ataxia. In Proceedings of IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN) 2016 Jun (pp. 147-151).'},{id:"B90",body:'MC10 Inc. [https://www.mc10inc.com/our-products#biostampnpoint].'},{id:"B91",body:'LeMoyne R, Mastroianni T. Network Centric Therapy for machine learning classification of hemiplegic gait through conformal wearable and wireless inertial sensors. In Proceedings of IEEE 8th E-Health and Bioengineering Conference (EHB) 2020 Oct. Oct (pp. 1-4).'},{id:"B92",body:'LeMoyne R, Mastroianni T. Conformal wearable and wireless inertial sensor system for the machine learning classification of hemiplegic gait using a multilayer perceptron neural network. 2020 8th International Conference on Bioinformatics and Computational Biology (ICBCB) 2020 May.'},{id:"B93",body:'Gurevich TY, Shabtai H, Korczyn AD, Simon ES, Giladi N. Effect of rivastigmine on tremor in patients with Parkinson\'s disease and dementia. Movement Disorders. 2006 Oct;21(10):1663-1666.'},{id:"B94",body:'Keijsers NL, Horstink MW, Gielen SC. Ambulatory motor assessment in Parkinson’s disease. Movement Disorders. 2006 Jan;21(1):34-44.'},{id:"B95",body:'Kumru H, Summerfield C, Valldeoriola F, Valls-Solé J. Effects of subthalamic nucleus stimulation on characteristics of EMG activity underlying reaction time in Parkinson\'s disease. Movement Disorders. 2004 Jan;19(1):94-100.'},{id:"B96",body:'Obwegeser AA, Uitti RJ, Witte RJ, Lucas JA, Turk MF, Wharen Jr RE. Quantitative and qualitative outcome measures after thalamic deep brain stimulation to treat disabling tremors. Neurosurgery. 2001 Feb;48(2):274-284.'},{id:"B97",body:'Keijsers NL, Horstink MW, Van Hilten JJ, Hoff JI, Gielen CC. Detection and assessment of the severity of Levodopa-induced dyskinesia in patients with Parkinson\'s disease by neural networks. Movement Disorders. 2000 Nov;15(6):1104-1111.'},{id:"B98",body:'Schrag A, Schelosky L, Scholz U, Poewe W. Reduction of parkinsonian signs in patients with Parkinson\'s disease by dopaminergic versus anticholinergic single-dose challenges. Movement Disorders. 1999 Mar;14(2):252-255.'},{id:"B99",body:'Patel S, Park H, Bonato P, Chan L, Rodgers M. A review of wearable sensors and systems with application in rehabilitation. Journal of Neuroengineering and Rehabilitation. 2012 Dec;9(1):1-17.'},{id:"B100",body:'LeMoyne R, Mastroianni T, Grundfest W. Wireless accelerometer configuration for monitoring Parkinson’s disease hand tremor. Advances in Parkinson’s Disease. 2013 May; 2(2):62-67.'},{id:"B101",body:'LeMoyne R, Coroian C, Mastroianni T. Quantification of Parkinson\'s disease characteristics using wireless accelerometers. In Proceedings of IEEE ICME International Conference on Complex Medical Engineering 2009 Apr (pp. 1-5).'},{id:"B102",body:'LeMoyne R, Coroian C, Mastroianni T. 3D wireless accelerometer characterization of Parkinson’s disease status. Plasticity and Repair in Neurodegenerative Disorders (Conference) 2008.'},{id:"B103",body:'LeMoyne R. Gradient optimized neuromodulation for Parkinson’s disease. 12th Annual UCLA Research Conference on Aging 2007.'},{id:"B104",body:'Giuffrida JP, Riley DE, Maddux BN, Heldman DA. Clinically deployable Kinesia™ technology for automated tremor assessment. Movement Disorders. 2009 Apr;24(5):723-730.'},{id:"B105",body:'LeMoyne R, Mastroianni T, Cozza M, Coroian C, Grundfest W. Implementation of an iPhone for characterizing Parkinson\'s disease tremor through a wireless accelerometer application. In Proceedings of 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2010 Aug (pp. 4954-4958).'},{id:"B106",body:'LeMoyne R, Mastroianni T, Whiting D, Tomycz N. Wearable and Wireless Systems with Internet Connectivity for Quantification of Parkinson’s Disease and Essential Tremor Characteristics. Wearable and Wireless Systems for Healthcare II: Movement Disorder Evaluation and Deep Brain Stimulation Systems 2019 (pp. 79-97). Springer, Singapore.'},{id:"B107",body:'LeMoyne R, Tomycz N, Mastroianni T, McCandless C, Cozza M, Peduto D. Implementation of a smartphone wireless accelerometer platform for establishing deep brain stimulation treatment efficacy of essential tremor with machine learning. In Proceedings of 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2015 Aug (pp. 6772-6775).'},{id:"B108",body:'LeMoyne R, Mastroianni T, Tomycz N, Whiting D, Oh M, McCandless C, Currivan C, Peduto D. Implementation of a multilayer perceptron neural network for classifying deep brain stimulation in ‘On’ and ‘Off’ modes through a smartphone representing a wearable and wireless sensor application. In Proceedings of 47th Society for Neuroscience Annual Meeting (featured in Hot Topics; top 1% of abstracts); Washington D.C. 2017 Nov.'},{id:"B109",body:'LeMoyne R, Mastroianni T, McCandless C, Whiting D, Tomycz N. Evaluation of Machine Learning Algorithms for Classifying Deep Brain Stimulation Respective of ‘On’ and ‘Off’ Status. In Proceedings of 9th International IEEE/EMBS Conference on Neural Engineering (NER) 2019 Mar (pp. 483-488).'},{id:"B110",body:'LeMoyne R, Mastroianni T, McCandless C, Currivan C, Whiting D, Tomycz N. Implementation of a smartphone as a wearable and wireless inertial sensor platform for determining efficacy of deep brain stimulation for Parkinson’s disease tremor through machine learning. In Proceedings of 48th Society for Neuroscience Annual Meeting (Nanosymposium); San Diego, CA 2018 Nov.'},{id:"B111",body:'LeMoyne R, Mastroianni T, McCandless C, Currivan C, Whiting D, Tomycz N. Implementation of a smartphone as a wearable and wireless accelerometer and gyroscope platform for ascertaining deep brain stimulation treatment efficacy of Parkinson’s disease through machine learning classification. Advances in Parkinson\'s Disease. 2018 May;7(2):19-30.'},{id:"B112",body:'LeMoyne R, Mastroianni T, Whiting D, Tomycz N. Distinction of an assortment of deep brain stimulation parameter configurations for treating Parkinson’s disease using machine learning with quantification of tremor response through a conformal wearable and wireless inertial sensor. Advances in Parkinson’s Disease. 2020 Aug;9(3):21-39.'},{id:"B113",body:'LeMoyne R, Mastroianni T, Whiting D, Tomycz N. Parametric evaluation of deep brain stimulation parameter configurations for Parkinson’s disease using a conformal wearable and wireless inertial sensor system and machine learning. In Proceedings of 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2020 Jul (pp. 3606-3611).'},{id:"B114",body:'LeMoyne R, Mastroianni T, Whiting D, Tomycz N. Preliminary Network Centric Therapy for machine learning classification of deep brain stimulation status for the treatment of Parkinson’s disease with a conformal wearable and wireless inertial sensor. Advances in Parkinson\'s Disease. 2019 Nov;8(4):75-91.'},{id:"B115",body:'LeMoyne R, Mastroianni T, McCandless C, Currivan C, Whiting D, Tomycz N. Network Centric Therapy for deep brain stimulation status parametric analysis with machine learning classification. In Proceedings of 49th Society for Neuroscience Annual Meeting (Nanosymposium); Chicago, IL 2019 Oct.'},{id:"B116",body:'LeMoyne R, Mastroianni T, Whiting D, Tomycz N. Application of deep learning to distinguish multiple deep brain stimulation parameter configurations for the treatment of Parkinson’s disease. In Proceedings of IEEE 19th International Conference on Machine Learning and Applications (ICMLA) 2020 Dec (pending publication).'},{id:"B117",body:'LeMoyne R, Mastroianni T, Whiting D, Tomycz N. Deep learning for differentiating parameter configurations of deep brain stimulation for treating Parkinson’s disease incorporating conformal wearable and wireless inertial sensors as an evolution for Network Centric Therapy, Society for Neuroscience Global Connectome: A Virtual Event 2021 Jan.'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Robert LeMoyne",address:"robert.lemoyne@nau.edu;, rlemoyne07@gmail.com",affiliation:'
Department of Biological Sciences, Northern Arizona University, USA
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As an Open Access publisher, IntechOpen is dedicated to maintaining the highest ethical standards and principles in publishing. In addition, IntechOpen promotes the highest standards of integrity and ethical behavior in scientific research and peer-review. To maintain these principles IntechOpen has developed basic guidelines to facilitate the avoidance of Conflicts of Interest.
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In each instance of a possible Conflict of Interest, IntechOpen aims to disclose the situation in as transparent a way as possible in order to allow readers to judge whether a particular potential Conflict of Interest has influenced the Work of any individual Author, Editor, or Reviewer. IntechOpen takes all possible Conflicts of Interest into account during the review process and ensures maximum transparency in implementing its policies.
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A Conflict of Interest is a situation in which a person's professional judgment may be influenced by a range of factors, including financial gain, material interest, or some other personal or professional interest. For IntechOpen as a publisher, it is essential that all possible Conflicts of Interest are avoided. Each contributor, whether an Author, Editor, or Reviewer, who suspects they may have a Conflict of Interest, is obliged to declare that concern in order to make the publisher and the readership aware of any potential influence on the work being undertaken.
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A Conflict of Interest can be identified at different phases of the publishing process.
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IntechOpen requires:
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Authors to declare all relevant Conflicts of Interest that might have any bearing on research reported in their submitted manuscript.
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Book Editors and Reviewers to declare all possible Conflicts of Interest that might warrant their exclusion from any further handling of submissions.
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CONFLICT OF INTEREST - AUTHOR
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All Authors are obliged to declare every existing or potential Conflict of Interest, including financial or personal factors, as well as any relationship which could influence their scientific work. Authors must declare Conflicts of Interest at the time of manuscript submission, although they may exceptionally do so at any point during manuscript review. For jointly prepared manuscripts, the corresponding Author is obliged to declare potential Conflicts of Interest of any other Authors who have contributed to the manuscript.
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Editors can also have Conflicts of Interest. Editors are expected to maintain the highest standards of conduct, which are outlined in our Best Practice Guidelines (templates for Best Practice Guidelines). Among other obligations, it is essential that Editors make transparent declarations of any possible Conflicts of Interest that they might have.
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Avoidance Measures for Academic Editors of Conflicts of Interest:
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For manuscripts submitted by the Academic Editor (or a scientific advisor), an appropriate person will be appointed to handle and evaluate the manuscript. The appointed handling Editor's identity will not be disclosed to the Author in order to maintain impartiality and anonymity of the review.
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If a manuscript is submitted by an Author who is a member of an Academic Editor's family or is personally or professionally related to the Academic Editor in any way, either as a friend, colleague, student or mentor, the work will be handled by a different Academic Editor who is not in any way connected to the Author.
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All Reviewers are required to declare possible Conflicts of Interest at the beginning of the evaluation process. If a Reviewer feels he or she might have any material, financial or any other conflict of interest with regards to the manuscript being reviewed, he or she is required to declare such concern and, if necessary, request exclusion from any further involvement in the evaluation process. A Reviewer's potential Conflicts of Interest are declared in the review report and presented to the Academic Editor, who then assesses whether or not the declared potential or actual Conflicts of Interest had, or could be perceived to have had, any significant impact on the review itself.
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Authors are required to declare all potentially relevant non-financial, financial and material Conflicts of Interest that may have had an influence on their scientific work.
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All Authors, Academic Editors, and Reviewers are required to declare all possible financial and material Conflicts of Interest in the last five years, although it is advisable to declare less recent Conflicts of Interest as well.
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Authors should declare if they were or they still are Academic Editors of the publications in which they wish to publish their work.
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In each instance of a possible Conflict of Interest, IntechOpen aims to disclose the situation in as transparent a way as possible in order to allow readers to judge whether a particular potential Conflict of Interest has influenced the Work of any individual Author, Editor, or Reviewer. IntechOpen takes all possible Conflicts of Interest into account during the review process and ensures maximum transparency in implementing its policies.
\n\n
A Conflict of Interest is a situation in which a person's professional judgment may be influenced by a range of factors, including financial gain, material interest, or some other personal or professional interest. For IntechOpen as a publisher, it is essential that all possible Conflicts of Interest are avoided. Each contributor, whether an Author, Editor, or Reviewer, who suspects they may have a Conflict of Interest, is obliged to declare that concern in order to make the publisher and the readership aware of any potential influence on the work being undertaken.
\n\n
A Conflict of Interest can be identified at different phases of the publishing process.
\n\n
IntechOpen requires:
\n\n
\n\t
Authors to declare all relevant Conflicts of Interest that might have any bearing on research reported in their submitted manuscript.
\n\t
Book Editors and Reviewers to declare all possible Conflicts of Interest that might warrant their exclusion from any further handling of submissions.
\n
\n\n
CONFLICT OF INTEREST - AUTHOR
\n\n
All Authors are obliged to declare every existing or potential Conflict of Interest, including financial or personal factors, as well as any relationship which could influence their scientific work. Authors must declare Conflicts of Interest at the time of manuscript submission, although they may exceptionally do so at any point during manuscript review. For jointly prepared manuscripts, the corresponding Author is obliged to declare potential Conflicts of Interest of any other Authors who have contributed to the manuscript.
\n\n
CONFLICT OF INTEREST – ACADEMIC EDITOR
\n\n
Editors can also have Conflicts of Interest. Editors are expected to maintain the highest standards of conduct, which are outlined in our Best Practice Guidelines (templates for Best Practice Guidelines). Among other obligations, it is essential that Editors make transparent declarations of any possible Conflicts of Interest that they might have.
\n\n
Avoidance Measures for Academic Editors of Conflicts of Interest:
\n\n
For manuscripts submitted by the Academic Editor (or a scientific advisor), an appropriate person will be appointed to handle and evaluate the manuscript. The appointed handling Editor's identity will not be disclosed to the Author in order to maintain impartiality and anonymity of the review.
\n\n
If a manuscript is submitted by an Author who is a member of an Academic Editor's family or is personally or professionally related to the Academic Editor in any way, either as a friend, colleague, student or mentor, the work will be handled by a different Academic Editor who is not in any way connected to the Author.
\n\n
CONFLICT OF INTEREST - REVIEWER
\n\n
All Reviewers are required to declare possible Conflicts of Interest at the beginning of the evaluation process. If a Reviewer feels he or she might have any material, financial or any other conflict of interest with regards to the manuscript being reviewed, he or she is required to declare such concern and, if necessary, request exclusion from any further involvement in the evaluation process. A Reviewer's potential Conflicts of Interest are declared in the review report and presented to the Academic Editor, who then assesses whether or not the declared potential or actual Conflicts of Interest had, or could be perceived to have had, any significant impact on the review itself.
\n\n
EXAMPLES OF CONFLICTS OF INTEREST:
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FINANCIAL AND MATERIAL
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\n\t
ownership of relevant stocks or shares;
\n\t
past and/or present work or consulting work for the research funder;
\n\t
membership of the relevant board;
\n\t
payment to the Reviewer/Academic Editor of financial fees by the Author;
\n\t
acceptance by the Reviewer/Academic Editor of gifts from the Author;
\n\t
other direct or indirect sources of funding or material benefit gained by the Reviewer/Academic Editor through the Author.
\n
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NON-FINANCIAL
\n\n
\n\t
professional or personal relationships with institutions and funding bodies, including non-governmental organizations, research institutions and charities;
\n\t
membership of relevant company boards or governmental organizations;
\n\t
personal relationships, either through friendship, marriage, acting as a mentor, family relationships or being a student of other contributors, whether they are Authors, Reviewers or Academic Editors.
\n
\n\n
Authors are required to declare all potentially relevant non-financial, financial and material Conflicts of Interest that may have had an influence on their scientific work.
\n\n
Academic Editors and Reviewers are required to declare any non-financial, financial and material Conflicts of Interest that could influence their fair and balanced evaluation of manuscripts. If such conflict exists with regards to a submitted manuscript, Academic Editors and Reviewers should exclude themselves from handling it.
\n\n
All Authors, Academic Editors, and Reviewers are required to declare all possible financial and material Conflicts of Interest in the last five years, although it is advisable to declare less recent Conflicts of Interest as well.
\n\n
EXAMPLES:
\n\n
Authors should declare if they were or they still are Academic Editors of the publications in which they wish to publish their work.
\n\n
Authors should declare if they are board members of an organization that could benefit financially or materially from the publication of their work.
\n\n
Academic Editors should declare if they were coauthors or they have worked on the research project with the Author who has submitted a manuscript.
\n\n
Academic Editors should declare if the Author of a submitted manuscript is affiliated with the same department, faculty, institute, or company as they are.
\n\n
Policy last updated: 2016-06-09
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He is the president of the Travel Medicine Committee of the Pan-American Infectious Diseases Association (API), as well as the president of the Colombian Association of Infectious Diseases (ACIN). He is a member of the Committee on Tropical Medicine, Zoonoses, and Travel Medicine of ACIN. He is a vice-president of the Latin American Society for Travel Medicine (SLAMVI) and a Member of the Council of the International Society for Infectious Diseases (ISID). Since 2014, he has been recognized as a Senior Researcher, at the Ministry of Science of Colombia. He is a professor at the Faculty of Medicine of the Fundacion Universitaria Autonoma de las Americas, in Pereira, Risaralda, Colombia. He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. His Scopus H index is 47 (Google Scholar H index, 68).",institutionString:"Institución Universitaria Visión de las Américas, Colombia",institution:null},{id:"332819",title:"Dr.",name:"Chukwudi Michael",middleName:"Michael",surname:"Egbuche",slug:"chukwudi-michael-egbuche",fullName:"Chukwudi Michael Egbuche",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/332819/images/14624_n.jpg",biography:"I an Dr. Chukwudi Michael Egbuche. 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The preliminary objectives of the study are to understand and develop the evidence-based tools and interventions for the control and prevention of malaria in different sites of the INDIA. Alongside, with the help of next-generation genomics study, the team has studied the antimalarial drug resistance in India. Further, he has extended his research in the development of Humanized mice for the study of liver-stage malaria and identification of molecular marker(s) for the Artemisinin resistance. At present, his research focuses on understanding the role of B cells in the activation of CD8+ T cells in malaria. 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She is currently an Adjunct Professor at Feevale University in Medicine and Biomedicine courses and a permanent professor of the Academic Master\\'s Degree in Virology. She has experience in the field of Microbiology, with an emphasis on Bacteriology, working mainly on the following topics: bacteriophages, bacterial resistance, clinical microbiology and food microbiology.",institutionString:null,institution:{name:"Universidade Feevale",country:{name:"Brazil"}}},{id:"229220",title:"Dr.",name:"Amjad",middleName:"Islam",surname:"Aqib",slug:"amjad-aqib",fullName:"Amjad Aqib",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229220/images/system/229220.png",biography:"Dr. Amjad Islam Aqib obtained a DVM and MSc (Hons) from University of Agriculture Faisalabad (UAF), Pakistan, and a PhD from the University of Veterinary and Animal Sciences Lahore, Pakistan. 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His research interests include epidemiological patterns and molecular analysis of antimicrobial resistance and modulation and vaccine development against animal pathogens of public health concern.",institutionString:"Cholistan University of Veterinary and Animal Sciences",institution:{name:"University of Agriculture Faisalabad",country:{name:"Pakistan"}}},{id:"333753",title:"Dr.",name:"Rais",middleName:null,surname:"Ahmed",slug:"rais-ahmed",fullName:"Rais Ahmed",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/333753/images/20168_n.jpg",biography:null,institutionString:null,institution:{name:"University of Agriculture Faisalabad",country:{name:"Pakistan"}}},{id:"62900",title:"Prof.",name:"Fethi",middleName:null,surname:"Derbel",slug:"fethi-derbel",fullName:"Fethi Derbel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/62900/images/system/62900.jpeg",biography:"Professor Fethi Derbel was born in 1960 in Tunisia. He received his medical degree from the Sousse Faculty of Medicine at Sousse, University of Sousse, Tunisia. He completed his surgical residency in General Surgery at the University Hospital Farhat Hached of Sousse and was a member of the Unit of Liver Transplantation in the University of Rennes, France. He then worked in the Department of Surgery at the Sahloul University Hospital in Sousse. Professor Derbel is presently working at the Clinique les Oliviers, Sousse, Tunisia. His hospital activities are mostly concerned with laparoscopic, colorectal, pancreatic, hepatobiliary, and gastric surgery. He is also very interested in hernia surgery and performs ventral hernia repairs and inguinal hernia repairs. He has been a member of the GREPA and Tunisian Hernia Society (THS). During his residency, he managed patients suffering from diabetic foot, and he was very interested in this pathology. For this reason, he decided to coordinate a book project dealing with the diabetic foot. Professor Derbel has published many articles in journals and collaborates intensively with IntechOpen Access Publisher as an editor.",institutionString:"Clinique les Oliviers",institution:null},{id:"300144",title:"Dr.",name:"Meriem",middleName:null,surname:"Braiki",slug:"meriem-braiki",fullName:"Meriem Braiki",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/300144/images/system/300144.jpg",biography:"Dr. Meriem Braiki is a specialist in pediatric surgeon from Tunisia. She was born in 1985. She received her medical degree from the University of Medicine at Sousse, Tunisia. She achieved her surgical residency training periods in Pediatric Surgery departments at University Hospitals in Monastir, Tunis and France.\r\nShe is currently working at the Pediatric surgery department, Sidi Bouzid Hospital, Tunisia. Her hospital activities are mostly concerned with laparoscopic, parietal, urological and digestive surgery. She has published several articles in diffrent journals.",institutionString:"Sidi Bouzid Regional Hospital",institution:null},{id:"229481",title:"Dr.",name:"Erika M.",middleName:"Martins",surname:"de Carvalho",slug:"erika-m.-de-carvalho",fullName:"Erika M. de Carvalho",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229481/images/6397_n.jpg",biography:null,institutionString:null,institution:{name:"Oswaldo Cruz Foundation",country:{name:"Brazil"}}},{id:"186537",title:"Prof.",name:"Tonay",middleName:null,surname:"Inceboz",slug:"tonay-inceboz",fullName:"Tonay Inceboz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/186537/images/system/186537.jfif",biography:"I was graduated from Ege University of Medical Faculty (Turkey) in 1988 and completed his Med. PhD degree in Medical Parasitology at the same university. I became an Associate Professor in 2008 and Professor in 2014. I am currently working as a Professor at the Department of Medical Parasitology at Dokuz Eylul University, Izmir, Turkey.\n\nI have given many lectures, presentations in different academic meetings. I have more than 60 articles in peer-reviewed journals, 18 book chapters, 1 book editorship.\n\nMy research interests are Echinococcus granulosus, Echinococcus multilocularis (diagnosis, life cycle, in vitro and in vivo cultivation), and Trichomonas vaginalis (diagnosis, PCR, and in vitro cultivation).",institutionString:"Dokuz Eylül University",institution:{name:"Dokuz Eylül University",country:{name:"Turkey"}}},{id:"71812",title:"Prof.",name:"Hanem Fathy",middleName:"Fathy",surname:"Khater",slug:"hanem-fathy-khater",fullName:"Hanem Fathy Khater",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/71812/images/1167_n.jpg",biography:"Prof. Khater is a Professor of Parasitology at Benha University, Egypt. She studied for her doctoral degree, at the Department of Entomology, College of Agriculture, Food and Natural Resources, University of Missouri, Columbia, USA. She has completed her Ph.D. degrees in Parasitology in Egypt, from where she got the award for “the best scientific Ph.D. dissertation”. She worked at the School of Biological Sciences, Bristol, England, the UK in controlling insects of medical and veterinary importance as a grant from Newton Mosharafa, the British Council. Her research is focused on searching of pesticides against mosquitoes, house flies, lice, green bottle fly, camel nasal botfly, soft and hard ticks, mites, and the diamondback moth as well as control of several parasites using safe and natural materials to avoid drug resistances and environmental contamination.",institutionString:null,institution:{name:"Banha University",country:{name:"Egypt"}}},{id:"99780",title:"Prof.",name:"Omolade",middleName:"Olayinka",surname:"Okwa",slug:"omolade-okwa",fullName:"Omolade Okwa",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/99780/images/system/99780.jpg",biography:"Omolade Olayinka Okwa is presently a Professor of Parasitology at Lagos State University, Nigeria. She has a PhD in Parasitology (1997), an MSc in Cellular Parasitology (1992), and a BSc (Hons) Zoology (1990) all from the University of Ibadan, Nigeria. She teaches parasitology at the undergraduate and postgraduate levels. She was a recipient of a Commonwealth fellowship supported by British Council tenable at the Centre for Entomology and Parasitology (CAEP), Keele University, United Kingdom between 2004 and 2005. She was awarded an Honorary Visiting Research Fellow at the same university from 2005 to 2007. \nShe has been an external examiner to the Department of Veterinary Microbiology and Parasitology, University of Ibadan, MSc programme between 2010 and 2012. She is a member of the Nigerian Society of Experimental Biology (NISEB), Parasitology and Public Health Society of Nigeria (PPSN), Science Association of Nigeria (SAN), Zoological Society of Nigeria (ZSN), and is Vice Chairperson of the Organisation of Women in Science (OWSG), LASU chapter. She served as Head of Department of Zoology and Environmental Biology, Lagos State University from 2007 to 2010 and 2014 to 2016. She is a reviewer for several local and international journals such as Unilag Journal of Science, Libyan Journal of Medicine, Journal of Medicine and Medical Sciences, and Annual Research and Review in Science. \nShe has authored 45 scientific research publications in local and international journals, 8 scientific reviews, 4 books, and 3 book chapters, which includes the books “Malaria Parasites” and “Malaria” which are IntechOpen access publications.",institutionString:"Lagos State University",institution:{name:"Lagos State University",country:{name:"Nigeria"}}},{id:"273100",title:"Dr.",name:"Vijay",middleName:null,surname:"Gayam",slug:"vijay-gayam",fullName:"Vijay Gayam",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/273100/images/system/273100.jpeg",biography:"Dr. Vijay Bhaskar Reddy Gayam is currently practicing as an internist at Interfaith Medical Center in Brooklyn, New York, USA. He is also a Clinical Assistant Professor at the SUNY Downstate University Hospital and Adjunct Professor of Medicine at the American University of Antigua. He is a holder of an M.B.B.S. degree bestowed to him by Osmania Medical College and received his M.D. at Interfaith Medical Center. His career goals thus far have heavily focused on direct patient care, medical education, and clinical research. He currently serves in two leadership capacities; Assistant Program Director of Medicine at Interfaith Medical Center and as a Councilor for the American\r\nFederation for Medical Research. As a true academician and researcher, he has more than 50 papers indexed in international peer-reviewed journals. He has also presented numerous papers in multiple national and international scientific conferences. His areas of research interest include general internal medicine, gastroenterology and hepatology. He serves as an editor, editorial board member and reviewer for multiple international journals. His research on Hepatitis C has been very successful and has led to multiple research awards, including the 'Equity in Prevention and Treatment Award” from the New York Department of Health Viral Hepatitis Symposium (2018) and the 'Presidential Poster Award” awarded to him by the American College of Gastroenterology (2018). He was also awarded 'Outstanding Clinician in General Medicine” by Venus International Foundation for his extensive research expertise and services, perform over and above the standard expected in the advancement of healthcare, patient safety and quality of care.",institutionString:"Interfaith Medical Center",institution:{name:"Interfaith Medical Center",country:{name:"United States of America"}}},{id:"93517",title:"Dr.",name:"Clement",middleName:"Adebajo",surname:"Meseko",slug:"clement-meseko",fullName:"Clement Meseko",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/93517/images/system/93517.jpg",biography:"Dr. Clement Meseko obtained DVM and PhD degree in Veterinary Medicine and Virology respectively. He has worked for over 20 years in both private and public sectors including the academia, contributing to knowledge and control of infectious disease. Through the application of epidemiological skill, classical and molecular virological skills, he investigates viruses of economic and public health importance for the mitigation of the negative impact on people, animal and the environment in the context of Onehealth. \r\nDr. Meseko’s field experience on animal and zoonotic diseases and pathogen dynamics at the human-animal interface over the years shaped his carrier in research and scientific inquiries. He has been part of the investigation of Highly Pathogenic Avian Influenza incursions in sub Saharan Africa and monitors swine Influenza (Pandemic influenza Virus) agro-ecology and potential for interspecies transmission. 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His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. He is also an international opinion leader/expert in vaccination for Japanese encephalitis by IPIC (UK).",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",country:{name:"India"}}},{id:"94928",title:"Dr.",name:"Takuo",middleName:null,surname:"Mizukami",slug:"takuo-mizukami",fullName:"Takuo Mizukami",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/94928/images/6402_n.jpg",biography:null,institutionString:null,institution:{name:"National Institute of Infectious Diseases",country:{name:"Japan"}}},{id:"233433",title:"Dr.",name:"Yulia",middleName:null,surname:"Desheva",slug:"yulia-desheva",fullName:"Yulia Desheva",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/233433/images/system/233433.png",biography:"Dr. Yulia Desheva is a leading researcher at the Institute of Experimental Medicine, St. Petersburg, Russia. She is a professor in the Stomatology Faculty, St. Petersburg State University. She has expertise in the development and evaluation of a wide range of live mucosal vaccines against influenza and bacterial complications. 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