Frequency values (Hz) of DVA. An increment of frequencies is observed in subjects 1 and 2 (S1 and S2 respectively).
1. Introduction
The pupil is an important element for image perception helping in the focus of parallel rays inside of the eye on the macula and because of its autonomic innervations had been studied in many scientific areas [1-11]. The pupil diameter has been measured with different methods and luminance conditions. Characteristics of pupil diameter like peak velocity contraction, maximum contraction time, amplitude and more [9] have been studied under white light conditions [12] and darkness. Authors have mentioned latency time does not change with age from 14 to 45 years old [3].
Experiments with flicker chromatic lights of equal and different luminance levels have been done; specifically using blue, green and red stimulus [13-16]. Kimura E. and Young R. studied pupil responses to 6 wavelengths [17]. Rodríguez D. and Suaste E. analyzed pupil responses from 400 to 600 nm [18]. Video techniques or image based methods called Video-oculography (VOG), have been employed in the study of pupillary responses [3,8,10,12,14,18,19] with capture ranges of 20, 25 and 102.4 Hz [3,10,12] and pupilometers [17]. High speed video-oculography (HSV) [5, 20] is a technique used in eye tracking systems [21], the study of mice speed movements [22], nistagmus analysis [23], and for pupil dynamic analysis with white light. Another application of VOG had been the objective perimetry as a new proposed method that does not require the opinion of the subject in study using pupillary response.
On the other hand, the World Health Organization describes that 314 millions of people have a visual incapacity, 45 million are blind and 90% live in developing countries, being cataract and refractive errors the principal causes of treatable blindness. During the searching by to resolve cataract blindness, Scientifics have been developed techniques of cataract extraction and many kinds of Intraocular Lens (IOL) with the purpose of giving transparency and flexibility as a natural lens for the eye. IOL could be only for a vision (monofocal), two visions (bifocal) or multiple visions (multifocal). IOL are a method of correcting cataract and refractive errors (from moderate to high) [24]. Speaking of refractive errors and their correction, IOL represent the next step in the refractive surgery. Authors have explained the importance of considering pupil size when an IOL will be or have been implanted [25-27]. Others authors have spoken about visual effects and complications as results from IOL implantation [28-30].
The purpose of this chapter is to show the biomedical instrumentation based on two VOG techniques used to study pupillary responses as well as to describe a useful methodology in order to determine pupillary dynamic evoked by chromatic stimuli plus a white stimulus, using High Speed Video-oculography (HSV) and image eye processing. The mentioned evaluation is applied to know pupillary responses in healthy subjects and in subjects with an implant of IOL (multifocal) which are called pseudophakics.
2. Instrumentation and methodology
2.1. Introduction
In the late 40´s, researchers used cameras to record eye movements of pilots [31]. But until the 70´s the eye monitoring based on video began. Eye monitoring systems have been classified in two categories: invasive and active against non-invasive and passive. Passive eye monitoring is popular by being non-intrusive [19]. Techniques as electrooculography, electromyography, infrared-oculography and VOG, have been used to monitoring and tracking eye lid, pupillary responses and gaze direction [32]. The VOG is classified as passive eye monitoring because it is non-intrusive. In the next paragraphs is going to be described VOG employed in some preliminary experiments.
2.2. Video-oculography
A reference scale is collocated on the lower eyelid of the left eye to convert pixels to millimeters. It is shown in Figure 1.
The chromatic stimulus is projected on right eye while left eye is being recorded. Eyes can be stimulated with 4 wavelengths inside of the visible spectrum plus a white stimulus. The duration of the stimulus is 6 seconds; 155 fps (frame) are captured per second approximately, which means that pupil measurements were taken each 7ms (time between photos). Eye images are recorded inside of a dark room with infrared light (IRL λ=900 nm) which is placed at 10 cm from the left eye temporal side. HSV starts with darkness adaptation of 10 min and then the first stimulus was projected. The stimuli sequence is red, blue, green, yellow and white. Five minutes of darkness adaptation between stimuli are necessary for pupil expansion. The HSV is performed from 7:00 to 10:00 hours. IRL is deactivated if there is not recording. In order to avoid gaze deviation, the subject is being sat on a height adjustable seat and his head is placed on chinrest. Camera and IRL are collocated on an elevation table. See Figure 2. All this allowed for specific adaptations, for subject comfort during the HSV. In Figure 3 is showed a series of pupillary pictures from high speed chromatic video-oculography.
2.1.1. Cameras
The next paragraphs are going to describe the cameras used to evaluate pupillary responses in the applications forward in the text, in two categories of VOG. The main difference between them is the number of frames per second. Commercial video cameras (NTSC format) with CCD and CMOS sensors give generally 50 o 60 fps. A little bit number gives 120 fps [33].
2.1.1.1. SONY camera
A CCD SONY video color camera, DCR-SR42 model is employed in conventional VOG, with 500 lines of horizontal resolution and peak velocity of capture of 30 fps. This camera has a night shot, option which let film using IR illumination. See Figure 4.
2.1.1.2. DALSA HIGH-SPEED video-camera
A DALSA monochromatic camera, CA-D6-0256W-ECEW model, has a shooting range up to 929 fps and 260x260 pixels of resolution; it gives possibility of taking approximately a frame each second. Pictures could be kept in BMP, JPG, etc formats. See Figure 4.
2.1.2. Stimuli
These stimuli included the two chromatic-opponent-cone axes, a red–green (L–M) axis and a blue–yellow [S _ (L + M)] axis. Four chromatic stimuli plus white are used in these experiments but they could be changed according to the purpose in other studies. Each one is characterized by measuring it’s reflectance spectrum; it will be helpful when pupillary responses will be analyzed. Previous studies can be considered in this aspect [13-18].
The luminance level is measured with a Light Photometer IL 400 A. The fotometer sensor is collocated in front of the stimulus where the eye will be, in order to know luminance in that precisely place. Luminance levels are regulated adjusting the input voltage to the light source to each stimulus. See Figure 5. The reflectance spectrum was measured with a spectrometer OSM-400-UV/VIS in order to know the wavelength components in each stimulus [34]. Thirty-six reflectance spectrums were taken from each stimulus, they were averaged and plotted. Stimuli were indicated according their principal component. See Figure 6.
2.2. Objective perimetry
The perimetry is another test where is possible to use VOG. Perimetry is a helpfulness test, in diagnosing ocular diseases as glaucoma or blindness areas, analyzing the visual field. Perimetry has been classified as: Static and Kinetic. Static, keeps an immobile stimulus in a visual field position, and increases progressively its luminance until the subject not be able to detect it. Kinetic, moves the stimulus along visual field. Here is described the objective perimetry as an application of VOG. The design is based on the Goldmann perimeter dimensions [35]. The light source is a stroboscopic lamp and the targets are based on fiber optic with a diameter of 1 mm, controlled by a computer system. The projection of dims targets is based on fiber optics which permits to perform test in colors, in all the areas of the visual field. A VOG system is used for monitoring and recording the pupil constriction. This system consists of an SONY camera and a PC equipped. After pupillary images are processed and analyzed. It is possible to use together at Evoked Visual Potentials (EVP), electro-oculography and electro-retinography with the aim of to observe cerebral activity when the pupil is stimulated and know alterations in the visual pathway [36]. An example of it, it is showed in Figure 7.
2.3. Image processing and statistical analysis
This procedure can be done in any programming language of your choice (MATLAB, C Language, etc). The aim of this stage is to identify pupillary areas in each picture. A graph is illustrating the points on the line selected to observe the pupil dynamic is shown in Figure 8. Variations in pupillary areas of the left eye while the stimulus is projected on the right eye are shown in Figure 8a. Pupil parameters are determined from HSV as follows: Area at the beginning (BA), area at latency time (LA), latency time (LT was taken as Barbur J
Images are processed in a Vision Builder AI 3.5 using graphical programming. First a calibration was performed in order to convert pixels to millimeters. Filters were used to highlight the area of interest in the image sequence. Intensity variations were decreased, noise was eliminated and outlines were identified. Steps of image processing are described in Figure 9.
In this context, dates obtained from images can be analyzed for are used statistical analysis. The statistical analysis can be done in any software of your preference depending on the purpose of each experiment. Below, Mean Difference (F test) and Analysis Of Variance (ANOVA) are used to get the necessary comparisons among groups; and, in addition the measures known as average and standard deviation. These statistical analyses are applied in the next section in this chapter.
3. Applications of pupillary evaluations and results
3.1. Introduction
In this section there are described many applications of Conventional and High-speed VOG, in diagnosis and postsurgical eye applications. These studies were approved by Bioethical Committee for Research in Humans from Center of Research and Advanced Studies (CINVESTAV). Subjects were informed about the project and they signed in their agreement as it is established in the Helsinki Declaration. For that, it is necessary to apply a preview subject’s evaluation with the purpose of having a homogenous sample. Tests are applied to volunteers in order to select the sample group: visual acuity, static retinoscopy, D15, and ophthalmoscopy. D15 test was applied to all subjects in order to exclude subjects with color perception problems. Static retinoscopy was done with a Welch Allyen 18240 NY USA under scotopic conditions. Ophthalmoscopy direct was performed with a Welch Allyen ophthalmoscope 11735 NY USA model, without mydriatic application under scotopic conditions. In the next experimental applications HSV was done as it was described before. Subjects with IOL, were facilitated by Ophthalmologic Hospital Nuestra Señora de la Luz, Mexico City.
3.2. HSV to measure pupillary latency evoked by isoluminant chromatic stimuli
One important characteristic of Pupillary response is latency (LT), which is defined as the time since the stimulus starts until the pupillary begins its contraction. The aim of this study was to determinate LT in response to 4 chromatic stimuli, they were Blue (455 nm), Green (530 nm), Yellow (570 nm), Red (615 nm) plus white employing HSV and image processing in 7 healthy subjects. Latency measures corresponding to each subject are presented in Figure 10.
Statistical analysis: ANOVA test was done among stimuli, considering α=0.05, ANOVA p=0.0075 which means that at the least one latency time mean is statistically different to the others. And Means comparisons with difference were: red VS blue p=0.026; red VS green p=0.0099; red VS yellow p=0.0091, red VS white p=4.04 E-4.
Considering the written above, Bos J. E. describes latency can be a reliable parameter to detect nervous dysfunctions, while the difference between the beginning moment and the maximum velocity can be used to determine muscle diseases [6].
3.3. Analysis of pupillary areas at second 3 in response to isoluminant chromatic stimuli with HS-VOG
Pupillary responses from 7 healthy subjects were obtained. Images were processed and it is chosen the pupillary area presented in the third second (since it is considered steady state) of each stimulus to 7 subjects. Areas were plotted in Figure 11; each stimulus is called by its main wavelength component that has been obtained from Reflectance Spectrum. They were Blue (455 nm), Green (530 nm), Yellow (570 nm), Red (615 nm) and lastly white. A luminance level for comfortable reading [37] was chosen, 29 cd/m2.
3.4. Conventional video-oculography to evaluate dynamic visual acuity to subjects with intraocular lens implant as a treatment for high refractive errors
Dynamic visual acuity (DVA) is defined as the eye capacity to distinguish details in relative movement conditions between object and subject. DVA have been less studied than Static Visual Acuity (SVA) [38]. In 1985 “The Committee on Vision of the National Research Council” suggested DVA evaluation for car drivers, pilots and sport people [39]. A high refractive error (HRE) is a condition in which parallel rays of light do not focus on retina resulting as blurred vision. Also, glasses in this days; LASER surgery and IOL are used as treatment of HRE. DVA has been studied in its relation with saccadic movements [40]; with an objective method using pupillary responses [41] patented on 2009 [42] and in different luminance levels comparing subjects with monofocal IOL versus multifocal IOL [43].In this experiment is described a VOG application to evaluate DVA in subjects with IOL implant as treatment of HRE. DVA is done before and after IOL implant. Subject is positioned to 3.10 m in front an optotype used as stimulus (optotype were adjusted considering Lovie-Baley card) on a chinrest in order to avoid head movements. Optotype are showed until the maximum measured is obtained from DVA, in an angle of 20º on a curve white screen using a projector in a galvanometer controller by a function generator. It starts with the biggest optotype projection to 0.1 Hz, increasing frequency in steps of 0.1 Hz, until the letter becomes blurred. After, it is showed the second optotype, and the procedure is repeated until the smallest letter that the subject can see. The luminance level on the projection screen is 0.3 cd/m2 and on the optotype is 23.6 cd/m2. Figure 12 shows VOG in DVA. While optotype are projected, VOG is done. When the test finishes, VOG is analyzed in order to know the frequency in which subjects could not see the optotype.
It is explained to the subject that a letter is going to be projected in front of him/her, which will be in movement from left to right and right to left increasing velocity. The subject in study should indicate when he/she could not be able to see the projected optotype, pushing a button, keeping his head static.
Frequency values in Hz from DVA of two voluntaries, PRE (before) and POST (after) implant are showed in Table 1.
S1 | S2 | S1 | S2 | |
0.9 | 0.9 | 1.2 | 1 | |
0.9 | 0.8 | 0.9 | 1 | |
1 | 0.8 | 0.9 | 0.9 | |
- | - | 0.8 | 0.9 | |
- | - | 0.8 | 0.8 | |
- | - | 0.8 | - |
3.5. High-speed VOG applied in a Comparative study between IOL and health eyes
The pupil size has been studied in healthy people [18] and in people with IOL [24, 44] implant; finding that it increases the camp depth and improves near and middle vision, after cataract extraction surgery. The next VOG application has the aim to compare pupillary parameters as: LT, PVC, TPVC and to know if they are related with age or the luminance levels. Two groups are compared: Young-healthy subjects (YS) and IOL Older-subjects (IOL-OS). The luminance (white stimuli) used was 171.31 cd/m2 for YS and 55.16 cd/m2 for OS. Images were captured with HSV methodology as it had been described above. Once eye images were captured, they were processed with a graphic program (Vision Builder AI V3.5), from which the pupil areas were obtained about be statistically compared between groups. See Figure 13 and Figure 14.
Measures obtained from groups are described in the Tables 2 and Table 3. Those are LT, PVC, TPVC and the age and area (at 3rd second) of each subject are added. The statistical analysis was done in sigma plot V10, with the aim of knowing if they present a significant relation with one or some of them.
125,38 | -27,15 | 267,47 | 75 | 9,22 | |
183,89 | -40,69 | 242,39 | 66 | 19,81 | |
200,60 | -20,06 | 300,90 | 58 | 11,47 | |
167,17 | -44,56 | 267,47 | 74 | 22,95 | |
167,17 | -25,67 | 284,19 | 62 | 9,05 | |
125,38 | -31,52 | 334,34 | 65 | 13,44 | |
161,60 | -31,61 | 282,79 | 67 | 14 | |
30,67 | 9,36 | 31,90 | 6,68 | 5,78 |
209,2 | -45,80 | 298,11 | 19 | 37,66 | |
251,04 | -63,45 | 321,645 | 21 | 34,4 | |
188,28 | -48,74 | 303,34 | 22 | 33,54 | |
203,97 | -39,41 | 316,415 | 22 | 32,75 | |
177,82 | -57,21 | 295,495 | 22 | 29,01 | |
214,43 | -48,28 | 303,34 | 24 | 27,85 | |
207,46 | -50,48 | 306,39 | 21,67 | 32,54 | |
25,34 | 8,56 | 10,38 | 163 | 3,61 |
All averages were smaller in the IOL group. From t paired test α=0.05%. The latency (contraction time) p=0.02122, the PVC p=0.01838 and TPVC p=0.3763. Although the luminance levels used and the age between groups were different, it does not exist a significant statistically difference in latency and maximum contraction velocity (Figure 14) between groups. At the same time, the results indicated that age and IOL do not affect statistically on them, however, the TPVC, is far from it [45].
This experiment describes that it is possible to establish differences and similarities between healthy subjects and subjects with an ocular and/or systemic diseases.
3.6. ANOVA to analyze pupillary variations in pseudophakic eyes, in response to chromatic stimuli during steady state
Authors have studied visual performance under mesopic and photopic conditions [46], and have defined which IOL provides better contrast sensitivity in diabetic subjects [47-49] On the other hand, studies of pupillary responses have been done in health and diabetic subjects [18,50]. Also ANOVA test is a helpful tool in optometric studies [51-52].
In this study, all subjects have multifocal IOL implant (AcrySof ReSTOR), normal chromatic vision and are older than 50 years old. The pseudophakic eyes have been classified in two groups considering their health systemic characteristics: in hypertension group (HTA) and healthy subjects (HS). Each group is formed by 4 subjects. The statistical test used was ANOVA in order to analyze oscillations of pupillary areas, obtained from pseudophakic eyes employing HSV during steady state (from second 3 to second 5.4). A total of 2288 eye images were analyzed in Vision Builder, 286 from each subject. Pupillary pictures of a Healthy subject and a HTA subject are in Figure 15. Averages obtained by group are showed in Figure 16.
ANOVA test was done from 2288 measures of areas. Results from average, standard deviation and ANOVA test (p values) are described in Tables 4, 5, 6 and 7. Average areas obtained per group to each stimulus are described in Table 4.
6.22 | 11.08 | |
7.21 | 7.17 |
0.54 | 0.32 | |
0.13 | 0.33 |
1.84 E-18 | 2.98 E-51 |
4.5 E-101 | 0.43 |
Based on the results, HTA presents more variation in 460 nm than 630 nm, in pupillary areas during stable state, although pupillary areas of HTA in 630 nm are the biggest; against case in HS Also, the comparative study inside of 460 nm suggests more variation from HTA subjects in contrast to HS. At the same time, was obtained the sum of energy corresponding to all components of frequency components of Fourier, from pupillary responses, to each group. Values of energy are described in Table 8. Frequency Fourier components are described in Figure 15.
2.147 | 1.964 | |
0.834 | 1.196 |
Results obtained from frequency components of Fourier, are in agreement with the results obtained in ANOVA test. Fourier components were obtained from dates that are showed in Figure 17. Observing Figure 16 and Figure 17; Figure 16, shows, bigger average areas in HTA subjects to 630 nm than the other three groups. Figure 17, shows frequency components of major magnitude in 460 nm by HTA subjects; this is related with the results of Table 5 and Table 8 where bigger values are observed in HTA subjects to 460 nm. HTA group has more variation in oscillations (Table 5) and energy content in 460 nm (Table 8).
3.7. Conventional VOG to observe pupillary responses in sickness and healthy people.
Another application of conventional VOG, inside of our laboratory is to evaluate pupillary dynamic in the visual spectrum in subjects with diabetes mellitus type 2, poisoning on lead Pd and healthy people. Results of it evaluation are described in Figure 18. It was patented on 2009 [53].
4. Conclusions
As described above, it is possible to observe that the biomedical instrumentation proposed in this chapter has an important contribution in diagnosis of systemic diseases as well as in therapeutically and surgical applications. Also, the methodology proposed is a powerful tool, employing VOG techniques in pupillary evaluations and its application; in order to know both eye physiologic conditions and systemic health situation. Using this methodology, with high speed video-oculography as a tool to film a prolonged chromatic stimuli and white; it is possible to determinate details in the pupillary responses and its derivates.
The HSV with chromatic stimuli can help in diagnosis, treatment and care of subjects with systemic diseases, also with/without IOL implant. Besides this, HSV let to know changes in pupillary responses until each millisecons. At the same time; allows knowing differences among pupillary responses to chromatic stimuli and white stimulus by eye image processing, which can be standardized considering the parameters exposed in Figure 8, in healthy subjects and later compared in subjects with some systemic diseases or surgical ocular procedure. Added to these, applications of ANOVA test and Frequency components of Fourier let to analyze pupillary responses in a more complete form.
Therefore VOG techniques plus the methodology proposed plus statistical and Frequency Fourier analysis let to know differences between healthy and with IOL people, as was observed in the above examples. It was in the subjects that were tested with different colors and luminance levels.
While, conventional VOG lets to know frequency changes in DVA. In this aspect, it is necessary to do more measures in healthy and sick subjects. An application of VOG in perimetry is going to be explained in a posterior written because of it let to observe brain activity through pupillary reflex in an objective form.
Acknowledgement
To National Council of Science and Technology of Mexico, through the grant project number 141194.
References
- 1.
Lennie P. 1981 The physiological basis of variations in visual latency. Vision Res.21 815 824 - 2.
Stark L., Sherman PM 1957 A servoanalytic study of consensual pupil reflex to light. J Neurophysiology20 17 26 - 3.
Kasthurirangan S. Glasser A. 2006 Age related changes in the characteristics of the near pupil response. Vision Res.46 1393 1403 - 4.
MacLachlan C., Howland HC 2002 Normal values and standard deviations for pupil diameter and interpupillary distance in subjects aged 1 month to 19 years. Ophthalmic Physiol Opt.22 175 182 - 5.
Hachol A. Szczepanowska-Nowak W. Kasprzak H. et al. 2007 Measurement of pupil reactivity using fast pupillometry. Physiol Meas.28 61 72 - 6.
Bos J. E 1998 Clinical quantitative pupillometry. Neuro-ophthalmol.8 299 305 - 7.
Donnelly W. J. Roorda A. 2003 Optimal pupil size in the human eye for axial resolution. J Opt Soc Am.20 2010 2015 - 8.
Hakerem G. Lidsky A. 1961 Pupillary reactions to sequences of light and dark pulses. Ann. N.Y. Acad. Sci.156 951 958 - 9.
Bitsios P. Prettyman R. Szabadi E. 1996 Changes in autonomic function with age: a study of pupillary kinetics in healthy young and old people. Age Ageing25 432 438 - 10.
Winn B., Whitaker D., Elliott DB, Phillips NJ 1994 Factors affecting light-adapted pupil size in normal human subjects. Invest Ophth and Vis Sci.35 1132 1137 - 11.
Campbell F. W. Gubish R. W. 1966 Optical quality of the human eye. J. Physiol.186 558 578 - 12.
Bos J. E. 1991 Detection of the pupil constriction latency. Med Biol Eng Comput.529 34 - 13.
Kohn M. Clynes M. 1969 Color dynamic of the pupil. Ann N. Y. Acad. Sci.156 1 20 - 14.
Sobaszek A. Nowak W. Hachol A. Moron Z. 2010 Measurement of the eye pupil response to light stimuli with regulated waveform, wavelength and photopic level. J Phys: Conference Series238 1 9 - 15.
Drew P. Sayres R. Watanabe K. Shimojo S. 2001 Pupillary response to chromatic flicker. Exp Brain Res.136 256 262 - 16.
Banks M. Munsinger H. 1974 Pupillometric measurement of difference spectra for three color receptors in an adult and a four-year-old. Vision Res.4 813 817 - 17.
Kimura E. Young R. S. L. 1995 Nature of the pupillary responses evoked by chromatic flashes on a white background. Vision Res.35 897 906 - 18.
Rodríguez D. Zuñiga A. Suaste E. 2005 Pupillary responses to chromatic stimuli in spectrum from 400 nm to 650nm in steady state. Rev Mex Fis.51 365 370 - 19.
Hammoud R. I. 2008 Passive eye monitoring. Algorithms, applications and experiments. Springer,1 14 - 20.
Villamar L. Suaste E. 2008 High velocity videoculography to determination of the pupil dynamic. Tenth Mexican Symposium on Medical Physics. Am Institute of Phys276 279 - 21.
Duchowski A. 2007 Eye tracking methodology. Theory and practice. Second edition. Springer,49 59 - 22.
Skatani T. Isa T. 2004 PC-based high speed video-oculography for measuring rapid eye movements in mice. Neurosci. Res.49 123 131 - 23.
Iijima A. Minamitani H. Ishikawa N. 2001 Image analysis of quick phase eye movements in nystagmus with high-speed video system. Med Biol Eng Comput.39 2 7 - 24.
Morris G. M. Nordan L. T. 2004 Phakic intraocular lenses. Optics and photonics news26 31 - 25.
Artigas J. M. Meneso J. L. Peris C. Adelina F. Díaz-Llopis M. 2007 Image quality with multifocal intraocular lenses and the effect of pupil size. Comparison of refractive and hybrid refractive-diffractive designs. J Cataract Refract Surg.33 2111 2117 - 26.
Alfonso J. F. Fernández-Vega L. Baamonde M. B. Montés-Mico R. 2007 Correlation of pupil size with visual acuity and contrast sensitivity after implantation of an apodized diffractive intraocular lens. J Cataract Refract Surg.33 430 438 - 27.
Alió J. L. Schimchak P. Montés-Micó R. Galal A. 2005 Retinal image quality after microincision intraocular lens implantation. J Cataract Refract Surg.31 1557 1560 - 28.
Lam S. Beck R. W. Hall D. 1989 Creighton J. B., Atonic pupil after cataract surgery. Ophthalmology96 589 590 - 29.
Fellner P. Vidic B. Ramkisson Y. Fu R. D. El -Shabrawi Y. Ardojmand N. 2005 Pupil ovalization after phakic intraocular lens implantation is associated with sectorial iris hypoperfusion. Arch Ophthalmol.123 1061 1065 - 30.
MA Elgohary Beckingsale A. B. 2006 Effect of illumination on visual function after monofocal and multifocal intraocular lens implantation. Eye20 144 149 - 31.
Argue R. Boardman M. Doyle J. Hickey G. 2004 Building a low-cost device to track eye movement. Technical report, Faculty of Computer Science, Dalhousie University, December. - 32.
Lo Castro. F. 2008 Class I infrared eye blinking detector. Sensors and actuators A: Physical.148 388 394 - 33.
Villamar M. Luis 2011 Form and pupillary dynamic evaluation for clinic diagnosis through a new analysis method based in high-speed video-oculography. CINVESTAV. - 34.
Malacara J. L. 2002 The nature color. SIE PRESS Bellingham. Washington 1. - 35.
Anderson Dr. 1987 Perimetry with and without automation C. M. Mosby Co. - 36.
Suaste E. Palmira R. Solis L. 1997 Fiber optics and video-oculography associated with pupillary responses and visual evoked potentials for objective perimetry. J. Clin. Eng.22 308 315 - 37.
Artigas J. M. Capilla P. Felipe A. Pujol J. 1995 Physiological Optic. Psychophysical of vision. Mc Graw Hill, Inter,55 - 38.
Quevedo L. Aznar-Casanova J. Merindano J. 2010 Una tarea para evaluar la agudeza visual dinámica y una valoración de la estabilidad de sus mediciones. Psicología31 109 128 - 39.
Committee on Vision of the National Research Council. Emergent techniques for assessment of visual performance. (1985 National academy Press, Washington. - 40.
Komura Y. Aoki K. Yoshigi H. et al. 2008 The relationship between dynamic visual acuity and sacadic eye movement. Hum. Perform. Meas.5 23 30 - 41.
Zuñiga A. Suaste E. 2002 Objective Method to evaluate dynamic visual acuity using pupillary responses. Rev Mex Ing Biomédica22 109 115 - 42.
Suaste Gómez. E. 2009 Instrument to evaluate visual acuity using pupillary responses. Mexican patent Nº 267510, by The Mexican Institute of Industrial Property (IMPI). - 43.
Williamson W. Poirier L. Coulon P. et al. 1994 Compared optical performances of multifocal and monofocal intraocular lenses (contrast sensitivity and dynamic visual acuity). Br. J. Ophthalmology78 249 251 - 44.
José F. Alfonso Luis. F. Vega Baamonde. M. B. Montés-Micó R. 2007 Correlation of pupil size with visual acuity and contrast sensitivity after implantation of an apodized diffractive intraocular lens. J Cataract Refract Surgery33 430 438 - 45.
Villamar L. Sánchez A. Suaste E. 2010 Methodology to determinate pupillary responses based in high speed videoculography in clinical eye applications. AIP Conf Proc1 162 165 - 46.
Montés-Mico R. España E. Bueno I. Neil Charman. W. Menezo J. L. 2004 Visual performance with multifocal intraocular lens. Am. Acad. Ophtahlmology.1 85 96 - 47.
Rodríguez-Galietero A. Montés-Micó R. Muñoz G. Albarrán-Diego C. 2005 Blue-light filtering intraocular lens in patients with diabetes: Contrast sensitivity and chromatic discrimination, J Cataract Refract Surg.31 2088 2092 - 48.
Kardon R. Anderson S. Damarjian T. Grace E. Stone E. Kawasaki A. 2009 Chromatic Pupil Responses. Ophthalmology116 1564 1573 - 49.
Kardon R. Anderson S.. Damarjian T. Grace E. Stone E. Kawasaki A. 2011 Chromatic Pupillometry in Patients with Retinitis Pigmentosa. Ophthalmology118 376 381 - 50.
Suaste E. Sánchez A. Villamar L. Terán O. 2010 High velocity video-oculography to measuring the pupil size in pseudophakic people with multifocal intraocular lens. PAHCE Lima Perú15 19 - 51.
Armstrong R. Eperjesi F. Gilmartin B. 2002 The application of analysis of varianza (ANOVA) to different experimental designs in optometry. Ophthal. Physiol. Opt.22 248 256 - 52.
Armstrong R. Slade S. Eperjesi F. 2000 An introduction to analysis of variance (ANOVA) with special reference to data from clinical experiments in optometry. Ophthal. Physiol. Opt.20 235 241 - 53.
Suaste E. 2009 Pupilocromatógrafo. Mexican patent Nº 267507, by The Mexican Institute of Industrial Property (IMPI).