\\n\\n
IntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\\n\\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\\n\\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\\n\\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\\n\\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\\n\\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\\n\\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\\n\\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\\n\\nFeel free to share this news on social media and help us mark this memorable moment!
\\n\\n\\n"}]',published:!0,mainMedia:{caption:"",originalUrl:"/media/original/237"}},components:[{type:"htmlEditorComponent",content:'
After years of being acknowledged as the world's leading publisher of Open Access books, today, we are proud to announce we’ve successfully launched a portfolio of Open Science journals covering rapidly expanding areas of interdisciplinary research.
\n\n\n\nIntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\n\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\n\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\n\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\n\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\n\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\n\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\n\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\n\nFeel free to share this news on social media and help us mark this memorable moment!
\n\n\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"9873",leadTitle:null,fullTitle:"Strategies of Sustainable Solid Waste Management",title:"Strategies of Sustainable Solid Waste Management",subtitle:null,reviewType:"peer-reviewed",abstract:"The world is currently experiencing increased environmental contamination with solid waste, which is one of the greatest environmental threats today. Although solid waste is harmful, proper management and profitable recycling can make it beneficial to the environment. In this regard, estimation of the true quantities of solid wastes generated annually in developed and developing countries is important for evaluating suitable strategies for economic and sustainable procedures of waste management. This book presents an interesting review of the economics of solid waste management in various developing and developed countries. It examines several economic applications of solid waste, such as innovative methods to generate bioelectricity from organic waste using microbial fuel cells and using solid waste as an alternative fuel in cement kilns.",isbn:"978-1-83962-560-2",printIsbn:"978-1-83962-559-6",pdfIsbn:"978-1-83962-561-9",doi:"10.5772/intechopen.87682",price:119,priceEur:129,priceUsd:155,slug:"strategies-of-sustainable-solid-waste-management",numberOfPages:170,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"59b5ceeeedaf7449a30629923569388c",bookSignature:"Hosam M. Saleh",publishedDate:"April 21st 2021",coverURL:"https://cdn.intechopen.com/books/images_new/9873.jpg",numberOfDownloads:6283,numberOfWosCitations:5,numberOfCrossrefCitations:8,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:24,numberOfDimensionsCitationsByBook:0,hasAltmetrics:1,numberOfTotalCitations:37,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"June 12th 2020",dateEndSecondStepPublish:"July 3rd 2020",dateEndThirdStepPublish:"September 1st 2020",dateEndFourthStepPublish:"November 20th 2020",dateEndFifthStepPublish:"January 19th 2021",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"144691",title:"Prof.",name:"Hosam M.",middleName:null,surname:"Saleh",slug:"hosam-m.-saleh",fullName:"Hosam M. Saleh",profilePictureURL:"https://mts.intechopen.com/storage/users/144691/images/system/144691.png",biography:"Hosam Saleh is a Professor of Radioactive Waste Management at the Radioisotope Department, Atomic Energy Authority, Egypt. He was awarded an MSc and Ph.D. in Physical Chemistry from Cairo University. Saleh has more than 25 years of experience in hazardous waste management with an emphasis on treatment and developing new matrixes for the immobilization of these wastes. He is also interested in studying innovative economic and environment-friendly techniques for the management of hazardous and radioactive wastes. He authored many peer-reviewed scientific papers and chapters and served as an editor of several books. He has been selected among the top 2% of scientists in the world according to the Stanford University report for 2020 and 2021.",institutionString:"Egyptian Atomic Energy Authority",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"14",totalChapterViews:"0",totalEditedBooks:"14",institution:{name:"Egyptian Atomic Energy Authority",institutionURL:null,country:{name:"Egypt"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"891",title:"Solid Waste",slug:"solid-waste"}],chapters:[{id:"74478",title:"Introductory Chapter: Solid Waste",doi:"10.5772/intechopen.95327",slug:"introductory-chapter-solid-waste",totalDownloads:333,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Hosam M. Saleh and Amal I. Hassan",downloadPdfUrl:"/chapter/pdf-download/74478",previewPdfUrl:"/chapter/pdf-preview/74478",authors:[{id:"144691",title:"Prof.",name:"Hosam M.",surname:"Saleh",slug:"hosam-m.-saleh",fullName:"Hosam M. Saleh"},{id:"218811",title:"Prof.",name:"Amal I.",surname:"Hassan",slug:"amal-i.-hassan",fullName:"Amal I. Hassan"}],corrections:null},{id:"73477",title:"Reflections on the Influence of Family Demographics on Food Waste Generation among the City of Tshwane Households, Republic of South Africa",doi:"10.5772/intechopen.93755",slug:"reflections-on-the-influence-of-family-demographics-on-food-waste-generation-among-the-city-of-tshwa",totalDownloads:309,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"This chapter presents the influence of households’ demographics on food waste generation. A mixed method research approach consisting of meta-analysis, survey (structured interviews), and experimental were used to collect opinions and weigh the amount of waste generated in each household. Although not all demographic variables were investigated, the influence of: (1) family size, (2) household monthly income, (3) employment status, (4) educational level, and (5) age of respondents on food waste generation were analyzed. The results of the study confirmed that age and family size are positive factors that influence the amount of food waste generated in households of the City of Tshwane, as opposed to the level of education, employment status, and monthly income levels. It should be noted, however, that this study does not conclusively exclude the other factors as not having an influence in food waste generations. However, their influence in the current food waste generation quantities was not conclusive. Further studies with larger sample size are thus recommended.",signatures:"Machate Machate",downloadPdfUrl:"/chapter/pdf-download/73477",previewPdfUrl:"/chapter/pdf-preview/73477",authors:[{id:"326045",title:"Prof.",name:"Machate",surname:"Machate",slug:"machate-machate",fullName:"Machate Machate"}],corrections:null},{id:"74039",title:"Sustainable Pathway for Closing Solid Waste Data Gaps: Implications for Modernization Strategies and Resilient Cities in Developing Countries",doi:"10.5772/intechopen.94384",slug:"sustainable-pathway-for-closing-solid-waste-data-gaps-implications-for-modernization-strategies-and-",totalDownloads:373,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"This chapter addresses three peculiar challenges in the solid waste management system of developing countries, namely: the chronic lack of reliable data for planning purposes, the absence of participatory engagement strategies in data gathering for wider ownership and usage, and the lack of monitoring of the climate change burden of existing waste disposal practices. A team of researchers has collaborated with system managers and a responsible philanthropic organization to engage key stakeholders to address these gaps in a sustainable manner. The strategy deployed has been to work in a participatory and evidenced-based frame to solicit support, enhance capacities, empower each other to understand the problems and find for ourselves the practical routes by which solid waste data gaps can be closed in the greater Accra region of Ghana. Stakeholders have participated in a comprehensive waste audit and landfill emission monitoring exercise to develop a baseline, and have used local resources and ideas to recommend steps to sustain reliable data flows and the development of a climate action plan for purposes of modernization. The methodological processes and research outcomes suggest that structural collaboration between researchers and system stakeholders is necessary to break the vicious circle of chronic data gaps and substitute virtuous circles of reliable data for planning purposes.",signatures:"Kwaku Oduro-Appiah and Abraham Afful",downloadPdfUrl:"/chapter/pdf-download/74039",previewPdfUrl:"/chapter/pdf-preview/74039",authors:[{id:"324899",title:"Dr.",name:"Kwaku",surname:"Oduro-Appiah",slug:"kwaku-oduro-appiah",fullName:"Kwaku Oduro-Appiah"},{id:"330032",title:"Mr.",name:"Abraham",surname:"Afful",slug:"abraham-afful",fullName:"Abraham Afful"}],corrections:null},{id:"73972",title:"Guide for Organising a Community Clean-up Campaign",doi:"10.5772/intechopen.94515",slug:"guide-for-organising-a-community-clean-up-campaign",totalDownloads:815,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"While it is the government’s and municipality’s mandate to ensure that its citizens stay in a clean and safe environment, it is of concern that waste management remains a big challenge in urban areas especially in developing countries. Increased economic development, rapid population growth and improvement of living standards are among the factors attributed to increased quantity and complexity of solid waste being generated. On the other hand, while people generate wastes, they continue to be looked at as passive recipients of municipality services. Ultimately, citizens fail to recognise their role in waste management and become unwilling to either pay for service delivery or participate in clean-up campaigns. Waste dumps are prime breeding sites for communicable disease vectors such as rodents, mosquitoes and houseflies, which can exacerbate the prevalence of water, food and waterborne diseases such as cholera and typhoid. This chapter thus describes the methodology of successfully conducting a community-led cleanup campaign. It is based on experience gained during implementation of an urban water, sanitation and hygiene (WASH) project. Ward level clean-up campaigns were organised and conducted by community members and local leaders. Besides clearing illegal dumpsites, the activity was also used to raise awareness on the consequence of waste dumping. The experience showed that organising a clean-up campaign only requires careful timeous planning. Overall, it was concluded that not only does the activity serve the practical purpose of cleaning, but it also creates a greater sense of unity and friendship among community members. Additionally, the power of beautification in a clean-up campaign wold naturally motivate residents to believe that their problems could be solved, resulting in a shared responsibility for sustainable management of waste and commons at local level.",signatures:"Innocent Rangeti and Bloodless Dzwairo",downloadPdfUrl:"/chapter/pdf-download/73972",previewPdfUrl:"/chapter/pdf-preview/73972",authors:[{id:"171647",title:"Mr.",name:"Innocent",surname:"Rangeti",slug:"innocent-rangeti",fullName:"Innocent Rangeti"},{id:"327929",title:"Dr.",name:"Bloodless",surname:"Dzwairo",slug:"bloodless-dzwairo",fullName:"Bloodless Dzwairo"}],corrections:null},{id:"74647",title:"Economics of Solid Waste Management: A Review",doi:"10.5772/intechopen.95343",slug:"economics-of-solid-waste-management-a-review",totalDownloads:766,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Solid Waste Management is one of the importance environmental issues at many developing countries. There is a lack of studies on economic analysis of solid waste management in the many cities at the national and international level. Most of the Municipal Corporation or city management is the major responsibility for better waste management. However, the local governments has been allocated budget for solid waste management without analysing cost and benefit of solid waste. Although, waste management budget is focusing on collected waste but, uncollected waste has been creating a number of socio, economic and health issues. Therefore, this chapter has presents a details review on economics of solid waste management at the various developing and developed countries. The main policy implication of the paper is to emphasis on better understanding of economic importance of solid waste management to the local policy makers.",signatures:"Muniyandi Balasubramanian",downloadPdfUrl:"/chapter/pdf-download/74647",previewPdfUrl:"/chapter/pdf-preview/74647",authors:[{id:"275432",title:"Dr.",name:"Muniyandi",surname:"Balasubramanian",slug:"muniyandi-balasubramanian",fullName:"Muniyandi Balasubramanian"}],corrections:null},{id:"73967",title:"Sustainable Solid Waste Management in Morocco: Co-Incineration of RDF as an Alternative Fuel in Cement Kilns",doi:"10.5772/intechopen.93936",slug:"sustainable-solid-waste-management-in-morocco-co-incineration-of-rdf-as-an-alternative-fuel-in-cemen",totalDownloads:331,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The management of municipal solid waste (MSW) is a major obstacle for the majority of municipalities in developing countries because of the impacts related to the landfilling of waste. Garbage is an energy-rich material. As a result, energy recovery is considered to be a sustainable waste management method. In Morocco, 7.4 million tons are produced annually; most of the waste is landfilled without any recovery despite the impacts related to this method of disposal. The objective of this chapter is to characterize combustible fractions (RDF) from household waste in Morocco and to study the economic and environmental benefits of their use as alternative fuels in cement kilns. The results of this research show that the combustible fractions contained in household waste in Morocco constitute a potential sustainable energy source with a high lower calorific value (4454 kcal/kg). The study of the advantages of co-incineration shows that the substitution of pet coke by 15% RDF reduces the pollution linked to gaseous emissions. In addition, the cement plant can make financial savings 389 USD/h by minimizing the use of fossil fuels.",signatures:"Aziz Hasib, Abdellah Ouigmane, Otmane Boudouch, Reda Elkacmi, Mustapha Bouzaid and Mohamed Berkani",downloadPdfUrl:"/chapter/pdf-download/73967",previewPdfUrl:"/chapter/pdf-preview/73967",authors:[{id:"166445",title:"Prof.",name:"Aziz",surname:"Hasib",slug:"aziz-hasib",fullName:"Aziz Hasib"},{id:"237725",title:"Prof.",name:"Reda",surname:"Elkacmi",slug:"reda-elkacmi",fullName:"Reda Elkacmi"},{id:"325462",title:"Dr.",name:"Abdellah",surname:"Ouigmane",slug:"abdellah-ouigmane",fullName:"Abdellah Ouigmane"},{id:"325463",title:"Prof.",name:"Otmane",surname:"Boudouch",slug:"otmane-boudouch",fullName:"Otmane Boudouch"},{id:"325528",title:"Prof.",name:"Mustapha",surname:"Bouzaid",slug:"mustapha-bouzaid",fullName:"Mustapha Bouzaid"},{id:"325529",title:"Prof.",name:"Mohammed",surname:"Berkani",slug:"mohammed-berkani",fullName:"Mohammed Berkani"}],corrections:[{id:"74392",title:"Corrigendum to: Sustainable Solid Waste Management in Morocco: Co-Incineration of RDF as an Alternative Fuel in Cement Kilns",doi:null,slug:"corrigendum-to-sustainable-solid-waste-management-in-morocco-co-incineration-of-rdf-as-an-alternativ",totalDownloads:null,totalCrossrefCites:null,correctionPdfUrl:null}]},{id:"74238",title:"Effectiveness of Anaerobic Technologies in the Treatment of Landfill Leachate",doi:"10.5772/intechopen.94741",slug:"effectiveness-of-anaerobic-technologies-in-the-treatment-of-landfill-leachate",totalDownloads:559,totalCrossrefCites:2,totalDimensionsCites:2,hasAltmetrics:0,abstract:"Improper Solid Waste Management leads to the generation of landfill leachate at the landfills. To reduce the negative impacts of highly toxic and recalcitrant leachate on the environment, several techniques have been used. A lot of research is conducted to find suitable methods for the treatment of landfill leachate such as biological processes, chemical oxidation processes, coagulation, flocculation, chemical precipitation, and membrane procedures. The biological process is still being used widely for the treatment of leachate. The current system of leachate treatment consists of various unit processes which require larger area, energy and cost. In addition, the current aerobic treatment is not able to treat entirely the pollutants which require further treatment of the leachate. Anaerobic wastewater treatment has gained considerable attention among researchers and sanitary engineers primarily due to its economic advantages over conventional aerobic methods. The major advantages of anaerobic wastewater treatment in comparison to aerobic methods are: (a) the lack of aeration, which decreases costs and energy requirements; and (b) simple maintenance and control, which eliminates the need for skilled operators and manufacturers. Several anaerobic processes have been used for leachate treatment such as up-flow anaerobic sludge blanket (UASB) reactor, anaerobic filter, hybrid bed reactor, anaerobic sequencing batch reactor and Anaerobic baffled reactor. The following chapter provides an insight to the solid waste management at the landfills, generation of leachate and details of some of the highly efficient anaerobic treatment systems that are used for the overall treatment of landfill leachate.",signatures:"Imran Ahmad, Norhayati Abdullah, Shreeshivadasan Chelliapan, Ali Yuzir, Iwamoto Koji, Anas Al-Dailami and Thilagavathi Arumugham",downloadPdfUrl:"/chapter/pdf-download/74238",previewPdfUrl:"/chapter/pdf-preview/74238",authors:[{id:"237449",title:"Dr.",name:"Shreeshivadasan",surname:"Chelliapan",slug:"shreeshivadasan-chelliapan",fullName:"Shreeshivadasan Chelliapan"},{id:"324168",title:"Ph.D. Student",name:"Imran",surname:"Ahmad",slug:"imran-ahmad",fullName:"Imran Ahmad"},{id:"332462",title:"Dr.",name:"Norhayati",surname:"Abdullah",slug:"norhayati-abdullah",fullName:"Norhayati Abdullah"},{id:"338893",title:"Dr.",name:"Ali",surname:"Yuzur",slug:"ali-yuzur",fullName:"Ali Yuzur"},{id:"338894",title:"Dr.",name:"Iwamoto",surname:"Koji",slug:"iwamoto-koji",fullName:"Iwamoto Koji"},{id:"338895",title:"Dr.",name:"Anas",surname:"Al-Dailami",slug:"anas-al-dailami",fullName:"Anas Al-Dailami"},{id:"343758",title:"Dr.",name:"Thilagavathi",surname:"Arumugham",slug:"thilagavathi-arumugham",fullName:"Thilagavathi Arumugham"}],corrections:null},{id:"74004",title:"Hydrometallurgical Recovery of Gold from Mining Wastes",doi:"10.5772/intechopen.94597",slug:"hydrometallurgical-recovery-of-gold-from-mining-wastes",totalDownloads:698,totalCrossrefCites:0,totalDimensionsCites:3,hasAltmetrics:1,abstract:"Gold is a highly required material for a wide range of personal and industrial applications. The high demand for gold, together with the shortage of natural resources and high pollution potential of wastes generated during mining and ore processing activities led to search for alternative sources of gold. A possible source is represented by mine wastes resulting from the processing of polymetallic or sulfidic ores. The reprocessing of wastes and old tailings with moderate to low content of gold offers not only a business opportunity, but also enhances the quality of the surrounding environment, changes the land use and offers a wide range of socio-economic benefits. Cyanidation, the most widespread Au leaching option, is progressively abandoned due to the high risk associated with its use and to the low public acceptance. Therefore, alternative methods such as thiocyanate, thiourea, thiosulphate and halide leaching gained more and more interest. This chapter presents the most important features of some Au leaching methods, emphasizing their advantages, limitations and potential applications.",signatures:"Emilia Neag, Eniko Kovacs, Zamfira Dinca, Anamaria Iulia Török, Cerasel Varaticeanu and Erika Andrea Levei",downloadPdfUrl:"/chapter/pdf-download/74004",previewPdfUrl:"/chapter/pdf-preview/74004",authors:[{id:"324453",title:"Dr.",name:"Erika Andrea",surname:"Levei",slug:"erika-andrea-levei",fullName:"Erika Andrea Levei"},{id:"335075",title:"Dr.",name:"Emilia",surname:"Neag",slug:"emilia-neag",fullName:"Emilia Neag"},{id:"335077",title:"MSc.",name:"Eniko",surname:"Kovacs",slug:"eniko-kovacs",fullName:"Eniko Kovacs"},{id:"335078",title:"Dr.",name:"Zamfira",surname:"Dinca",slug:"zamfira-dinca",fullName:"Zamfira Dinca"},{id:"335080",title:"Dr.",name:"Anamaria Iulia",surname:"Török",slug:"anamaria-iulia-torok",fullName:"Anamaria Iulia Török"},{id:"335081",title:"BSc.",name:"Cerasel",surname:"Varaticeanu",slug:"cerasel-varaticeanu",fullName:"Cerasel Varaticeanu"}],corrections:null},{id:"74827",title:"Bioelectricity from Organic Solid Waste",doi:"10.5772/intechopen.95297",slug:"bioelectricity-from-organic-solid-waste",totalDownloads:430,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Resource recovery and recycling of organic waste is a great challenge in the world. The unmanaged organic waste causes a great damage to the environment and the public health both in the developing countries and industrial parts of the world. In this research, an innovative method was adopted to generate bioelectricity from the organic waste by using the Microbial Fuel Cell (MFC). Various types of organic wastes such as livestock waste, food waste, fruit waste were used as the substrates of the microbial fuel cell. All the experiments were carried out in the same sized one chamber microbial fuel cell and the similar electrode materials. It was observed that all the organic wastes can be used to generate bioelectricity through microbial fuel cell. The generated electricity can be used in several environmental monitoring sensors and can be used as an alternate power source in the developing countries. The by-products of the bioelectricity generation can be used as soil conditioner in the organic depleted soil and agricultural fields.",signatures:"M. Azizul Moqsud",downloadPdfUrl:"/chapter/pdf-download/74827",previewPdfUrl:"/chapter/pdf-preview/74827",authors:[{id:"7199",title:"Dr.",name:"Md.Azizul",surname:"Moqsud",slug:"md.azizul-moqsud",fullName:"Md.Azizul Moqsud"}],corrections:null},{id:"73517",title:"Agricultural Solid Wastes: Causes, Effects, and Effective Management",doi:"10.5772/intechopen.93601",slug:"agricultural-solid-wastes-causes-effects-and-effective-management",totalDownloads:1671,totalCrossrefCites:5,totalDimensionsCites:15,hasAltmetrics:1,abstract:"The role of the agricultural sector in human development and economic development cannot be overemphasized. Awareness for increased agricultural production is on the increase, arising from the need to feed the ever-increasing human population. Interestingly, almost all agricultural activities generate wastes, which are generated in large quantities in many countries. However, these wastes may constitute a serious threat to human health through environmental pollution and handling them may result in huge economic loss. Unfortunately, in many developing countries where large quantities of these wastes are generated, they are not properly managed because little is known about their potential risks and benefits if properly managed. There are studies that address some of the challenges of agricultural solid wastes as well as suggestions on how they can be properly managed. In this chapter, we intend to explore the major sources of agricultural solid wastes, their potential risks, and how they can be properly managed.",signatures:"Isaac Oluseun Adejumo and Olufemi Adebukola Adebiyi",downloadPdfUrl:"/chapter/pdf-download/73517",previewPdfUrl:"/chapter/pdf-preview/73517",authors:[{id:"276527",title:"Dr.",name:"Isaac Oluseun",surname:"Adejumo",slug:"isaac-oluseun-adejumo",fullName:"Isaac Oluseun Adejumo"},{id:"328699",title:"Dr.",name:"O.A.",surname:"Adebiyi",slug:"o.a.-adebiyi",fullName:"O.A. 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\r\n\tSavannas are characterized by discontinuous tree canopies which coexists with grassy understories, resulting in high biodiversity. Savannas are widespread globally and form an important habitat for many living organisms, and are home to most of the world’s livestock. An estimated 20% of the world’s land surface is under savanna vegetation, with a global net primary production of 30%. Savannas are used for grazing, agriculture, mining, tourism, subsistence livelihoods, and conservation under pastoral, private use, indigenous, and national parks. Due to their large size, savannas affect global carbon, nutrient, and water cycles, and with frequent fires significantly influence atmospheric pollution. Savanna occurrence and structure is determined by a combination of environmental factors, such as available soil moisture, nutrients, frequency of disturbances (such as fire and herbivores), and stochastic events. Savannas are increasingly experiencing widespread woody encroachment, largely attributed to factors such as fire suppression and increased atmospheric carbon dioxide. They experience long dry seasons and variable rainfall which limit plant growth. Competition for water and nutrients between trees and grasses shape the savanna ecosystems structure. Savannas have received less attention compared to forests in many ecological studies. This book will examine the ecological features of the savanna, an important tropical ecosystem.
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He received his PhD degree in rangeland ecology from the same university. Allan earned his BSc Honours in agriculture (animal science) and MSc in animal science from the University of Zimbabwe. He teaches undergraduate level courses in mammalogy, wildlife nutrition, rangeland ecology and management, animal anatomy & physiology, and vertebrate population dynamics, and postgraduate courses in animal taxonomy and behavioral ecology of mammals, in addition to supervising research projects. In recent years, his research has focused on herbivory, restoration ecology and management of rangelands for both livestock and wild ungulates. 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The spine, which allows for simultaneous stability and mobility, also has the inherent role of housing and protecting the brain and spinal cord. The alignment of the spine is critical in the context of allowing normal function of the central nervous system (CNS); that is, by not impeding its function by various loading mechanisms (i.e. overstretching the nervous tissues) [8, 9]. Clinical trials [10, 11, 12, 13, 14, 15, 16] and case reports [17, 18, 19, 20, 21, 22, 23, 24, 25] have demonstrated that corrections in patient posture have resulted in relief of neurological symptoms including for example, cervical spondylotic and discogenic radiculopathy, cervical spondylotic myelopathy (CSM), lumbosacral discogenic radiculopathy, trigeminal neuralgia (TN), dystonia, Parkinson’s disease (PD), carpal tunnel syndrome (CTS), and Tourette’s syndrome (TS). Although the precise mechanisms underlying improved neurological function in patients having improved postural alignment are not fully understood, they are thought to lie in the biomechanics of the CNS and in normalization of load sharing across tissues innervated by mechanoreceptors which are integral in sensorimotor control through somatosensory potentials.
In 1960, a monograph was published by Alf Breig documenting for the first time, the most comprehensive illustrative demonstrations of the biomechanics of the central nervous system (CNS) [8]. This seminal work laid the groundwork for the comprehensive understanding of how spine movement affects the CNS; that is, how physiologic deformation of the cord and brainstem simultaneously accompanies normal postural movements of the spine (i.e. ‘neurodynamics’). In 1978, Breig published a second book expanding on the concepts outlined in 1960, and focused on ‘adverse mechanical tension’ in the CNS and how this produces common neurological symptoms and signs [9]. An exciting development by Breig was his invention of the ‘cervicolordodesis’ surgical procedure that increased the cervical lordosis and prevented cervical flexion to relieve tension within the cord, brainstem and nerve roots demonstrating dramatic improvements of neurological disorders including nerve root compression syndromes, TN, multiple sclerosis (MS) and other neuromusculoskeletal conditions [26].
A second prevailing theory on how normalization of spine/posture alignment can dramatically alter patient pain, disability, function, and neurophysiology is through cervical spine sensory afferent input (so called afferentation) and its influence on the motor system termed sensorimotor control. As a result of activation of mechanoreceptors contained in the various ligaments, discs, muscles and skin, changes in spine position-alignment has a major influence on motor control [27]. Intimate connections exist between afferent input (from the proprioceptive, visual and vestibular systems) and stable upright postures of the head and neck [28]. The mechanoreceptors in the cervical spine soft tissues provide necessary neurophysiological input in a feed forward and feedback system for sensorimotor control via connections to the vestibular, visual and central nervous systems [29]. Furthermore, a complex network of neurophysiological connections between cervical spine mechanoreceptors and the sympathetic nervous system exists [30, 31, 32]. Though the effects of autonomic system activity on musculoskeletal function has been extensively studied, there is a paucity of research demonstrating that the autonomic nervous system is intimately responsive to changes in the afferent articular input due to spine joint dysfunction [33]. Alterations in afferent articular input driven by spine joint aberrant movement (altered kinematics) and subtle or overt tissue damage is generally referred to as ‘dysafferentation’ in the literature. The assumption that restoring normal posture and cervical spine alignment is important for a better afferentation process and improved autonomic nervous system function has some preliminary evidence in the recent literature [10, 34].
Today there are non-surgical evidence-based techniques known to improve posture and spine alignment; in essence to accomplish what Breig was able to do, only without surgery (e.g. increase cervical lordosis). One of these methods is Chiropractic BioPhysics® (CBP®) technique which is a full-spine and posture treatment that utilizes mirror image® (i.e. ‘corrective’) exercises, adjustments and spinal traction procedures to restore normal spine alignment [35, 36, 37, 38, 39]. Due to the implicit interconnectedness of spine alignment and neurologic function, these methods are proving to be particularly effective in treating patients with neurological and sensorimotor control disorders, where perhaps unknowingly, poor spine alignment is a causative factor in patients suffering from neurologic ailments in which their symptoms are exacerbated and/or directly caused by the adverse nerve tensions placed upon them and by dysafferentation caused by spine and postural deviations (i.e. adult spinal deformity/subluxation).
This chapter reviews the Harrison normal spinal model [40, 41, 42, 43, 44, 45, 46, 47] that is used to assess a patient’s spine alignment as compared to the normal/ideal position (i.e. gold standard), how the central nervous system is housed in and biomechanically functions within the skeletal structure under normal and pathologic conditions, including mechanisms for neurologic symptom generation under pathologic biomechanical tensions, and altered sensorimotor control from dysafferentation driven by altered load sharing and spine kinematics. Simultaneously, the CBP structural rehabilitation approach to realigning the spine and postural position in order to treat patients who present with spinal subluxation that is suspected to be pathognomonic for their pain, disability, and generalized neurologic sensorimotor disorders will be a main theme.
Any contemporary discussion about the normal/ideal human spinal configuration is regarding its precise orientation (i.e. precise shape of the different spinal regions). Although many research groups have attempted to model the shape of the normal human spine, few have done so as comprehensively and systematically as the Harrison group [40, 41, 42, 43, 44, 45, 46, 47]. In a series of studies, elliptical shape modeling of the path of the posterior longitudinal ligament was performed on radiograph samples of asymptomatic subjects. Computer iterations of spine shape modeling was used to determine a best-fit geometric spinal shape by fitting various ellipses of altered minor-to-major axis ratios to the digitized posterior vertebral body corners of the cervical [40, 41, 42], thoracic [43, 44], and lumbar spinal regions [45, 46, 47] (Figure 1).
The Harrison normal sagittal spine model as the path of the posterior longitudinal ligament. The cervical, thoracic and lumbar curves are all portions of an elliptical curve having a unique minor-to-major axis ratio. The cervical curve is circular meaning the minor and major axes are equal.
The Harrison normal spine model (Figure 1) features a circular cervical lordosis, and portions of an elliptical curve for both the thoracic kyphosis (more curvature cephalad), and lumbar lordosis (more curvature caudad). Consequently, features of the normal human spine reveal that the opposite thoracic and lumbar curves meet together at the thoraco-lumbar junction being essentially straight; the upper, deeper curve of the upper thoracic spine reflects oppositely at the cervico-thoracic junction (between T1 and T2) and continues into the cervical lordosis; the lower lumbar spine increases its lordotic alignment having two-thirds of its curve between L4-S1 as it meets the forward tilted sacral base. The spine is modeled as vertical in the front view. The spine alignment is easily quantified by repeatable and reliable methods from measuring its position from standing X-rays [48, 49, 50, 51, 52] (Figure 2).
Harrison posterior tangent method involves lines drawn contiguous with the posterior vertebral body margins. Intersegmental as well as regional sagittal curves are easily quantified having a standard error of measurement within about 2° (Courtesy CBP seminars).
The Harrison normal spine model has been validated in several ways. Simple analyses of alignment data of normal asymptomatic populations have been done [40, 41, 42, 43, 44, 45, 46, 47, 53]. Comparison studies between normal samples to symptomatic samples [40, 41, 53]; as well as between normal samples to theoretical ideal models have been done [40, 41, 43, 44, 45, 46]. The statistical differentiation of asymptomatic subjects from symptomatic pain group patients based on alignment data have been performed [42, 47]. The demonstration of paralleled spine alignment improvements with reduction in pain and disability, versus no change in untreated control groups in pre-post clinical trials have been performed [54, 55, 56, 57, 58, 59]. The demonstration in randomized clinical trials that only patient groups achieving lordosis improvement (lumbar or cervical) and hyper-kyphosis (thoracic) reduction achieve long-term improvements in various outcome measures versus comparative treatment control groups not getting spine alignment improvement who experience regression in multiple outcome measures at follow-up have also been done [10, 11, 12, 13, 14, 15, 16, 60, 61, 62, 63, 64].
Chiropractors practicing Chiropractic BioPhysics® (CBP®) structural rehabilitation techniques have used this spine model as the goal of care for over 20 years; and more recently physical therapists and other manual medicine rehabilitation specialists have adopted components of this system as well. It is noted that this model serves as the baseline for patient comparison; specific patient comparisons, however, must include patient-specific considerations related to thoracic inlet parameters [65] as well as pelvic morphology [66] as these may dictate a structural modification to the model for a given patient. There are software programs (i.e. PostureRay Inc., Trinity FL, USA) that aid in the ability for practitioners to assess spine alignment quickly in daily practice (Figure 3). It must also be mentioned that proper assessment of the spine includes the whole spine, that is, the cervical, thoracic and lumbar regions and femur heads. This is because spine balance and compensation mechanisms involve the whole spine; thus, regional X-rays to the ‘problem area’ can mislead treatment and not account for distal spinopelvic compensations that need to be considered prior to initiating a trial of spine care by these methods.
Three patients demonstrating dramatically different spine alignment patterns. Left: Excessive lumbar hyperlordosis, L4 anterolisthesis, and excessive anterior sagittal balance in a mid-aged female with disabling low back pain; Middle: Excessive thoracolumbar kyphosis and early degenerative changes in a mid-aged male; Right: Excessive thoracic hyperkyphosis in a young male with Scheuermann’s disease. Red line is contiguous with posterior vertebral body margins; green line represents Harrison normal spinal model (Courtesy PAO).
The brainstem (mesencephalon, pons, medulla oblongata), cranial nerves V-XII, spinal cord, cauda equina, and nerve roots may collectively be referred to as the pons-cord tissue tract. The static and dynamic characteristics of the pons-cord tract constitutes a self-contained compartment of biomechanics [8, 9, 67]. This results from the way the cord is maintained within the canal by its many attachments: from above (being continuous with the brainstem), from below (sacral and coccyx attachment through the cauda equina and filum terminale), as well as throughout its length (intermittent dural attachments to the posterior longitudinal ligament, ventral attachments of the nerve root sleeves exiting the intervertebral foramina, and bilateral dentate ligament attachments ranging from the upper cervical region down to the level of L1). Under relatively normal static posture without pathological processes, spine dynamics produce normal or ‘physiologic’ tension as transmitted by its constraining elements, and without neurological compromise (Figure 4) [8, 9, 68].
Left: Physiologic folding of the cord and nerve roots in normal lordosis. Right: A forward flexion in those with normal lordosis causes normal unfolding and elasticity of the pons, cord and nerve roots that remain ‘physiologic’ or within tolerable tensions that do not overload the nervous system (Courtesy CBP Seminars).
Only when normal neurodynamic aspects of the so-called pons-cord tract are understood can neuropathology from adverse tensions be fully understood. As Breig states “Internal deformation of the tissue cannot be ruled out as a factor in any disease of the nervous system even in inflammatory and degenerative conditions of the hindbrain, cord and associated nerves, and in some cases it will be of primary pathologic significance” [8] (p. 12). A key concept is that under normal circumstances, normal movements of the spine involve physiologic unfolding and folding of the cord and nerve roots. Head flexion causes instantaneous unfolding and normal elasticity of the neural tissues and head extension causes elastic rebound and a re-folding of the cord and nerve roots (Figure 4). In this way the CNS can preserve normal function while accommodating differing spinal positions. Breig also found that movements of the cord occur at the location of movement as well as throughout the entire pons-cord tract; cervical motions produce strains (deformations) caudally down to the cauda equina and movements of the lower spine cause strains as far up as the cervical cord and brainstem. In fact, deformation of the brain tissue below the tentorium (which can affect cranial nerves V-XII [8]) within the cerebellum occurs to accommodate spine movements (particularly maximal functional positions).
All ventral flexion movements throughout the spine (i.e. cervical, thoracic, lumbar) cause a lengthening of the spinal canal, and therefore, a transmission of axial tension onto the cord. Pathological processes, such as disc herniations and bone spurs, if severe enough, interfere with the pons-cord tract biomechanics [69, 70], where the normal tension transmitted by the pons-cord restraining elements may then be referred to as ‘pathological’ tension [71]. Independent but equally as significant, abnormal spinal postures may create adverse tension within the neural elements as well. For instance, Stein found that “in a deformed kyphotic cervical spine, even a ‘normal’ amount of movement in the cervical spine may cause compression of the spinal cord” [72]. This is because the spinal cord adopts the length of the bony canal [73].
Further, as suggested by Harrison et al. [74] static neutral postures or dynamically adopted combinations of postures; that is, rotations and translations of the head, thorax, or pelvis (Figures 5 and 6) [36], exert larger stresses and strains onto the pons-cord tissue tract. Thus, it can be deduced that the combination of pathological processes (bone spurs, disc herniations, etc.) and aberrations in posture (forward head posture, thoracic hyperkyphosis, etc.) may disrupt normal CNS biomechanics, and at levels below that at which either factor acting alone would elicit neurological symptoms. As it can be presumed when a patient has an accumulation of forward flexed spine positions, such as severe thoracic hyperkyphosis (THK) posture for example, the amount of spinal canal lengthening can be great and supersede the ‘normal’ or physiologic amount of unfolding and elastic deformation available within the pons-cord system. In this situation, normal physiologic tensions transition to become pathologic tensions causing intermittent over-stretching and over-straining of the tissues and ultimately, causing or exacerbating neurologic symptoms.
If the head, thoracic cage, and pelvis are considered rigid bodies, then the possible rotations in 3-dimensions are illustrated. Flexion and extension are rotations on the x-axis, axial rotation is about the y-axis, and lateral flexion is rotation about the z-axis (Courtesy CBP Seminars).
If the head, thoracic cage, and pelvis are considered rigid bodies, then the possible translations in 3-dimensions are illustrated. Lateral translations occur along the x-axis, vertical translations occur along the y-axis, and anterior–posterior translations (protraction-retraction) occurs along the z-axis (Courtesy CBP Seminars).
Understanding the normal biomechanics of the CNS lays the foundation for the understanding of postural-induced neurological signs and symptoms. As discussed, two main events may individually, or in combination, lead to excessive stresses (longitudinal, torsional, pure bending, shear) and strains (longitudinal cross-sectional) that are sufficient to produce symptoms. In words, poor postures (lengthened spinal canal via forward flexed spinal positions) and space occupying lesions (bone spurs, intervertebral disc prolapse, etc.) combine to produce symptomatology. The greater the spinal canal is flexed, or as discussed, the presence of combinations of rotations and translations in posture, the greater the forced unfolding and elastically stretched pons-cord tract (Figure 7). With the addition of space occupying lesions, patients having deviations in postural alignment become much more likely to succumb to various pressure mechanisms, or how the nervous tissue is compressed upon certain positions and movements.
Left: Cervical kyphosis subluxation in neutral posture results in the unfolding and elastic pre-tension present prior to flexion. Right: Forward flexion of a kyphotic neck may result in ‘pathologic’ or pons-cord-nerve root tensions that exceed physiologic limits and results in neurologic symptoms; particularly in the presence of a space-occupying lesion such as a bone spur or intervertebral disc prolapse (Courtesy CBP Seminars).
It is important to realize that those patients with poor spinal posture may at times be in positions that are tolerable by the pons-cord tract (i.e. not over-stretched), and at other times perform movements that dynamically lengthen the spinal canal causing a pivotal transition to over-stress and over-strain the system (i.e. dynamic stress and strain). Therefore, successful symptomatic relief resulting from postural correction to a patient suffering from neurological complaints may be elucidated. Although some spinal pathologies will not change (e.g. bone spurs), the reduction of forward flexion of the neutral postural position (e.g. increasing cervical/lumbar hypo-lordosis; reducing thoracic hyper-kyphosis) will change the resting, and therefore the dynamic tensions throughout the pons-cord tract sufficiently enough to reduce the tensions from surpassing some pathological tension threshold (maintaining physiologic or normal tensions), and therefore alleviate neurologic symptomatology [74, 75].
How does adverse mechanical tensions within the CNS produce symptoms? Ultimately, pathological CNS tensions affect the vascular supply and therefore the perfusion of the neural tissues or they may affect the actual nerve conduction ability of the nerve cells (causing hyper or hypo function). Mathematically, perfusion = mean arteriole pressure (MAP) – cord interstitial pressure (CIP) [76]. Thus, for perfusion to remain adequate, the MAP must remain greater than CIP. However, as discussed by Harrison et al. [77], an increase in CIP can be caused by at least two forces, a longitudinal force causing unfolding and elastic elongation of the cord, and a transverse force usually by the cord being thrust into the posterior margin of the vertebral body at the anterior portion of the spinal canal. As stated, Stein found that cervical kyphosis, posture subluxation alone is enough to interfere with cord conduction [72], but with an accompanying space occupying lesion the likelihood for a transverse cord/nerve compression pressure mechanism to limit perfusion and compromise neural function is much greater.
There have been several clinical controlled trials documenting the association with improved postural parameters (e.g. increasing cervical lordosis, increasing lumbar lordosis, decreasing thoracic hyperkyphosis) translating into improved physiological measures including specific tests indicative of neurologic function [10, 11, 12, 13, 14, 15, 16]. These measures include:
Central somatosensory conduction time N13-N20 (Figure 8);
Dermatomal somatosensory evoked potentials (DSSEPs) (Figures 9 and 10);
H-reflex;
Sensorimotor control measures (Figures 11 and 12);
Sympathetic skin resistance response (Figure 13).
Central conduction time (N13-N20) also known as spinal cord velocity. In the top figure, a representative example of central conduction time (N13-N20) at three intervals of measurement: baseline, following 10-weeks of treatment, and 1-year follow-up. This is from the study by Moustafa et al. [
Dermatomal somatosensory evoked potential (DSSEPs) set up for C6, C7, and C8 nerve root assessment. In (A) Sites of recording: (1) active recording electrode at c3’, (2) reference electrode at Fz, and (3) grounding electrode at Fbz. Location of stimulation sites are indicated above: (B) for C6 dermatome, (C) for C7 dermatome, (D) C8 dermatome. Sites of recording. Courtesy of Moustafa et al. [
Example of Dermatomal somatosensory evoked potential (DSSEPs) of C6 dermatome at three intervals of measurement. Courtesy of Moustafa et al. [
Postural stability characteristics were evaluated with a Biodex Balance System SD (BBS) (Biodex Medical Systems, Inc., Shirley, NY). Dynamic balance testing was performed on the unlocked platform to allow free movement concurrently both in the anterior–posterior (AP) and medial-lateral (ML) directions. The platform permits variable levels of resistance to movement perturbation ranging from one to eight (1 being the most restrictive). BBS measures the deviation of each axis during dynamic balance assessments. The BBS software measures an overall stability index (OSI) and is a representative index of balance performance. OSI is the best indicator of the overall ability of the subject to balance the platform whereby a reduced balance or stability correlates with large variation or large value of OSI [
In A, an example of the smooth pursuit neck torsion test (SPNT) is shown neutral, right turn, and left turn of the head indicated by the 45° torso rotated position. Middle and right image: A SPNT test eye velocity is shown as the uneven high amplitude curves. The ciphers indicate the length of the vertical part of the curve between two marks, i.e., the saccades. The forward head posture group (FHP group) has larger errors (≈30%) as compared to a match control group with normal head alignment (10% average error). Courtesy of Moustafa et al. [
Sympathetic skin resistance response (SSR). For measurement of the SSR, EMG equipment was used [
Here we briefly summarize the particulars of exemplary trials that demonstrate how improvement in targeted spinal and postural parameters have led to improved neurophysiological outcomes.
Using standardized clinical procedures for median nerve stimulation at the wrist, a subjects’ central somatosensory conduction time measurement, N13-N20, can be determined. Differences in peak latencies between N13 and N20 is measured as central conduction time or similarly called ‘cervical spinal cord velocity’. In 2016, Moustafa et al. reported on a randomized controlled trial using a cervical extension traction orthotic device (Denneroll™; Denneroll Ptdy, limited, Sydney, Australia) in a multi-modal rehabilitation program for treating patients with discogenic radiculopathy [13]. Sixty patients were randomized to a treatment and comparison (control) group where both groups received TENS, thoracic spine manipulation, soft tissue mobilization and strengthening exercises. Only the treatment group performed the additional Denneroll orthotic device to increase cervical lordosis and reduce forward head posture. After 30 treatment applications over the course of 10-weeks, only the treatment group demonstrated significant improvements in N13-N20 (20% gain in velocity). Also, at a 1-year follow-up without further intervention, again only the treatment group demonstrated a statistically improved N13-N20 potential. Importantly, only the treatment group receiving the Denneroll had statistically improved cervical lordosis and reduced forward head posture at the 10-week and 1-year follow-up. Figure 8 (top) demonstrates the improvement in the N13-N20 potential in this trial.
In another trial, Moustafa et al. reported on the unique treatment of asymptomatic volunteers who had strictly defined anterior head translation and cervical hypolordosis [78]. Eighty persons were randomized into a treatment group who performed cervical extension traction on the Denneroll traction orthotic or a control group who lied on a rolled hydrocollator towel (placebo control). Both groups were treated for 30 sessions over 10-weeks and were then re-assessed after 12 further weeks of no further treatment. Central somatosensory conduction time latency (N13-N20) and amplitudes of spinal (N13), brainstem (P14), parietal (N20 and P27), and frontal (N30) potentials were measured at baseline (prior to treatment), 10-weeks and 22-weeks. After the 10-weeks of treatment, the treatment group had significantly better amplitudes of N13, P14, N20, N27 and N30 as well as central conduction time (10% faster conduction velocity of N13-N20). All significant differences between groups favouring the treatment group remained at the 12-week post-treatment follow-up. Lastly, a statistically significant multiple regression model to predict central conduction time changes, N13-N20, from correction in cervical lordosis and anterior head translation (AHT) was identified for the intervention group receiving the Denneroll orthotic at both the 10-week mark (p < .001) and the 3-month follow-up (p < .001) [78]. Figure 8 (bottom) demonstrates the improvement in the N13-N20 potential in this trial.
In 2011, Moustafa et al. reported on the results of a pilot trial that showed patients with cervical spondylotic radiculopathy randomized to a rehabilitation program including cervical spine stretching exercises, infrared radiation and 3-point bending cervical extension traction had significantly improved peak-to-peak amplitude measures of DSSEPs after both 10-weeks of treatment (30 treatment sessions) and at a 12-week follow-up [16]. The comparison (control) group receiving the same treatment less the neck traction did show an initial improvement in DSSEPs after the 10-week treatment period, however, this difference disappeared at the 12-week follow-up. Only the treatment group showed a statistically significant increase in cervical lordosis. Most importantly, Moustafa et al. identified a linear correlation between initial DSSEPs and cervical lordosis magnitude for both groups (r = .65; p < 0.0001), whereas this relationship was only maintained in the study group receiving 2-way traction at final follow-up (r = .55; p = 0.033). This indicates that cervical spine lordotic correction linearly correlates to improvements in DSSEPs [16]. Figures 9 and 10 depict the experimental setup for the DSSEPs of C6, C7, and C8 as well as the changes in C6 DSSEPs in the study group receiving the curve corrective traction.
As reported in the previous section (5.1), the 2016 trial reported by Moustafa et al. [13] treating patients with discogenic radiculopathy, both groups showed improvements in latency of DSSEPs at the 10-week post-treatment assessments, however only the treatment group showed statistically improved amplitude of DSSEPs. At a 1-year follow-up without intervention, only the treatment group demonstrated statistically improved latency and amplitude of DSSEPs. Also, only the treatment group had improved cervical lordosis and reduced forward head posture at the 10-week and 1-year follow-up.
In a unique randomized trial, Moustafa and colleagues [14] investigated the hypothesis that improving the cervical lordosis and reducing forward head translation would improve low back pain, disability, and neurophysiology in a sample of 80 (35 female) patients between 40 and 55 years suffering signs and symptoms from chronic discogenic lumbar radiculopathy (CDLR). Both groups received TENS therapy and hot packs; additionally, the study group received the Denneroll cervical traction orthotic. All treatment interventions were applied at a frequency of 3 x per week for 10 weeks. Both groups were followed for 6 months after their 10-week re-evaluation. Statistically significant differences between the study groups and the control group’s postural measures were found favouring improved posture in the Denneroll group for: lumbar lordotic curve (p = .002), thoracic kyphosis (p = .001), trunk inclination (p = .01) and imbalance (p = .001), pelvic inclination (p = .005), and surface rotation (p = 0.01). The two radiographic measures of cervical lordosis (p = .001) and forward head posture (p = .002), and H reflex amplitude (p = .007) and H reflex latency (p = .001) were likewise statistically different between the groups at 10 weeks favoring improvement in the Denneroll study group. Restoring cervical lordosis and reduction of forward head posture with Denneroll traction was found to have a positive impact on 3D posture parameters, leg and back pain scores, back disability, and H reflex latency and amplitude. Thus, improvement of sagittal cervical spine posture and alignment benefited the pain, disability, and postural imbalances in patients with CDLR.
In 2013, Moustafa et al. reported the results of a trial employing lumbar extension traction to increase the lumbar lordosis in patients suffering from MRI-verified lumbosacral radiculopathy [15]. Sixty-four patients were randomly allocated to the treatment or comparison (control) group who both received hot packs and interferential therapy; only the treatment group received the lumbar extension traction. After 30 treatment sessions over 10-weeks, only the treatment group showed statistically improved latency and amplitude of the H-reflex. At the 6-month follow-up, again, only the treatment group showed statistically improved H-reflex outcomes. Only the treatment group demonstrated improved lumbar lordosis after the 10-week treatment period and at the 6-month follow-up.
Improvement in head repositioning accuracy (HRA) as a result of sagittal plane spine alignment correction has been assessed in three recent randomized trials by the Moustafa et al. group; two of these trials assessed cervical lordotic correction and anterior head translation reduction [10, 79], whereas, one trial assessed improvement in thoracic hyper-kyphosis [11]. In 2017, Moustafa et al. reported on the improvement in HRA, a measurement of cervicocephalic kinesthetic sensibility [79]. Seventy-two patients suffering from cervicogenic dizziness were randomized to a treatment or comparison (control) group and received TENS, hot packs, mobilization, myofascial and suboccipital release, and therapeutic functional exercises. Only the treatment group also received the Denneroll cervical extension traction orthotic device. The cervical range of motion (CROM) device was used to assess cervicocephalic kinesthetic sensibility by measuring the head repositioning average error (
After 30 treatment session over 10-weeks, both groups improved on the HRA test [79]. However, at the 1-year follow-up, the treatment group’s HRA to the left and right was statistically significantly better than the comparison group. Again, only the treatment group had a statistically improved cervical lordosis and improved forward head posture at both the 10-week and 1-year follow-up. In their more recent [10] randomized trial similar results were identified where improved HRA resulted from improved cervical lordosis and forward head translation reduction; herein, the improvement in the HRA was identified to be linearly correlated to the improvement in both cervical lordosis and reduction in forward head posture. The linear correlation between improved HRA and improved forward head posture magnitude is further supported by the results of a cross-sectional case control investigation which found a linear relationship between worsening HRA and increased magnitudes of forward head posture [34].
In 2020, Moustafa et al. reported on the improvements in various sensorimotor control measures in patients treated for thoracic hyper-kyphosis [11]. Eighty patients with thoracic hyper-kyphosis were randomized to a treatment or comparison (control) group. Both groups were treated for 30 treatment sessions over a 10-week time period with TENS and hot packs, soft tissue mobilization, thoracic spine manipulation, and functional exercises. Only the treatment group also performed the Denneroll thoracic traction orthotic designed to reduce the thoracic curve. At the 10-week post-treatment assessment, no significant differences were found for left-sided HRA whereas, significant differences favouring the treatment group were found for the right sided HRA. At the 1-year follow-up without intervention, sensorimotor control measurement of HRA, bilaterally, was significantly superior for the intervention group. Also, only the treatment group experienced a reduction in thoracic hyper-kyphosis at the 10-week assessment that was maintained at the 1-year follow-up [11].
Posture stability efficiency is a key measurement or performance variable of sensorimotor control. In recent randomized trials [10, 11] and case control [34] investigations by Moustafa and colleagues, postural stability characteristics were evaluated with a Biodex Balance System SD (BBS) (Biodex Medical Systems, Inc., Shirley, NY) (Figure 11). Dynamic balance testing was performed on the unlocked platform to allow free movement concurrently in both the anterior–posterior (AP) and medial-lateral (ML) directions. The platform permits variable levels of resistance to movement perturbation ranging from one to eight (1 being the most restrictive). BBS measures the deviation of each axis during dynamic balance assessments. The BBS software measures an overall stability index (OSI) and is a representative index of balance performance. OSI is the best indicator of the overall ability of the subject to balance the platform whereby a reduced balance or stability correlates with large variation or large value of OSI [81, 82]. From the RCT by Moustafa et al. [10], participants randomized to and achieving correction of both cervical lordosis and anterior head posture obtained statistically significant improvements in the OSI compared to a standard care group (pre vs. 10-weeks post vs. 1-year follow up). Likewise, in the RCT looking at thoracic hyper-kyphosis reduction, it was found that OSI was statistically improved only in the group achieving reduction of thoracic kyphosis and that this result was stable at 1-year follow-up [11].
The fact that posture stability, as measured with OSI, improves due to correction of the sagittal cervical and thoracic spine alignments seems to make sense; as previously a linearly correlation between worsening OSI and increased magnitudes of forward head posture has been found [34].
The smooth pursuit neck torsion test (SPNT) is used to quantify alterations in and improvement in a person’s visual-motor control using electro-oculography equipment [83]. Figure 12 demostrates the SPNT procedure. First, participants perform the SPNT with the head and trunk in the neutral, forward facing posture. Next, while keeping the head facing forward, the torso is placed in a 45° rotation (about a vertical y-axis) position to each side in a consecutive manner. Participants typically perform three blinks of their eyes and are instructed to follow the path of a light source as close as possible with their eyes without movement of their head or neck. The accuracy of the SPNT is determined as the difference between the average increase/decrease in the participants NHP vs. the torsioned positions; errors are termed ‘corrective saccades’ and are reported as a percentage difference from perfect. In a recent case control cohort sample, Moustafa et al. [34] identified that the forward head posture group (FHP group) had larger SPNT errors (≈30%) as compared to a matched control group with normal head alignment (10% average error). In fact, a linear correlation was identified between the magnitude of forward head posture subluxation and the percent error in SPNT.
Importantly, in the Moustafa et al. RCTs [10, 11], SPNT test eye velocity was shown to improve in the group receiving spine correction as compared to the comparison group not receiving and not achieving spine correction. The average SPNT errors in both the cervical spine [10] and the thoracic spine [11] correction groups improved down to bench-mark values for healthy persons (≈10%).
Sympathetic skin resistance response (SSR) is a measurement of autonomic nervous system function or dysfunction. For measurement of the SSR, EMG equipment is typically used [10, 34]. Active surface electrodes are attached on the palmar side, and the references are placed on the dorsum of the hand. A stimulus is given at the wrist contralateral to the recording side. Measurements should typically be taken from left and right arms. The SSR is assessed as: (1) a latency measurement from the stimulation artifact to the first deflection from the baseline; and (2) an amplitude is measured from the peak of the first deflection to the peak of the next one (peak to peak). Figure 13 depicts a typical measurement of SSR latency and amplitude.
In a recent case–control cohort investigation of 160 asymptomatic volunteers, Moustafa and colleagues [34] investigated the SSR and its relationship to the severity of forward head posture; a strong linear correlation was identified between the magnitude of forward head posture and increased amplitude and latency of the SSR evoked potentials. Thus, increased magnitudes of forward head posture have a negative impact on the autonomic nervous system in essence leading to a state of hyperactivity or increased excitability. Only one RCT on the effects of spine correction on SSR latency and amplitude could be identified. In the study by Moustafa et al. [10], the group receiving spine corrective extension traction obtained sagittal plane cervical correction and statistically significant improvement in SSR latency and amplitude; the results indicated a linear correlation between the amount of correction of the cervical lordosis and FHP and the concomitant improvement of the SSR potentials [10].
The above review of sagittal plane spine alignment and its impact on neurophysiology has several strengths. First, there is strong biomechanical evidence indicating that altered and sustained sagittal plane spine and posture alignment results in increasing the stresses and strains acting on the pons-cord tract system and that this impairs directly or indirectly neurophysiology; this evidence has existed since 1960 [8, 9, 26, 68, 69, 71, 72, 73, 74, 75, 77]. Second, considering the results of the recent randomized trials reviewed above, it is clear, that rehabilitation techniques that increase the cervical lordosis and lumbar lordosis, have a profound and sustained effect of improving measurements of neurophysiology as measured with DSSEP’s, H-Reflex, and central conduction times [12, 13, 14, 15, 16, 78, 79]. Similarly, reducing the magnitudes of thoracic hyper-kyphosis [11] and FHP [12, 13, 14, 15, 16, 78, 79] has been found in RCT’s to result in improved neurophysiological measurements. Finally, clinical management and improvement of several complex neurological disorders have been documented in multiple case reports where spine correction was suggested to be the important variable which improved the patient’s neurophysiological disorder [17, 18, 19, 20, 21, 22, 23, 24, 25]. Thus, considering the facts that biomechanics studies, randomized trials, and case reports all point to the same finding, clinically and scientifically one would need to concede that improved neurophysiology following correction of the abnormal spine towards normal values is an evidence-based and logical approach to pursue with appropriate patients.
Similarly, the known intimate connections between afferent input (from the proprioceptive, visual and vestibular systems) and stable upright postures of the head and neck [28] and the fact that there exists a plethora of mechanoreceptors in the cervical spine soft tissues providing necessary neurophysiological input in a feed forward and feedback system provides a strong fundamental physiological basis for the concept that altered spine alignment can have a profound effect on sensorimotor control via connections to the vestibular, visual and central nervous systems [29]. Furthermore, and as explicitly stated in the introduction to this chapter, a complex network of neurophysiological connections between cervical spine mechanoreceptors and the sympathetic nervous system exists [30, 31, 32]. This information coupled with the findings of both case control investigations [34] and randomized trials [10, 11, 63, 79] provides strong clinical evidence that restoring normal sagittal plane posture and cervical spine alignment is important for a better afferentation process, improved sensorimotor control, and improved autonomic nervous system function.
Clinically, the astute reader should recognize the need to radiographically assess the full spine alignment, in particular the sagittal plane, to identify if a patient is a candidate and in need of true spine correction; that is, structural rehabilitation of the spine and posture. A comparison of the patient’s spine and posture should be made against tested normal alignment values such as the Harrison full spine model and posture displacement models discussed herein. Furthermore, the addition of fundamental neurophysiological testing and the basic parts of sensorimotor control measurements should be considered as important assessments during patient evaluations. Once an indication for corrective care has been identified, the clinical administration of specific spine mirror image corrective exercises and extension traction methods should be employed. Previously, we have discussed the techniques, indications and contraindications, timing of, and applications for several known spine corrective methods and the clinician should be willing to add these to their armamentarium for patient care; we refer the reader to this source [35]. Adding the goal and methods of true spine correction to the clinical outcomes of patient care should not be foreign, it should not be in disregard to traditional strength and functional conditioning; it should simply be part of the basic, fundamental treatment approach for abnormalities of the human frame in the effort to improve a variety of spine related and neurophysiological disorders.
This chapter has explored the hypothesis and evidence that restoring normal posture and spine alignment has important influences on neurophysiology, sensorimotor control and autonomic nervous system functionality. There is limited but high-quality research identifying that sagittal spine alignment restoration plays an important role in improving neurophysiology, sensorimotor control, and autonomic nervous system function. Within the limitations of the fact that only a handful of clinical trials exist on the topics discussed in this chapter, the unique contribution and importance of this review is that it demonstrates that radiographic determined re-alignment of the sagittal spine and posture plays a significant role in long-term management outcomes in people suffering from a variety of musculoskeletal, and health related disorders. Improved neurophysiological function as measured via dermatomal somatosensory evoked potentials, spinal cord velocity (N13-N20 potential), sensorimotor control, and sympathetic nervous system activity is directly influenced by and improved by full spine sagittal alignment in general and, more specifically, to cervical posture and spine alignment. This review identifies main issues that warrant further investigations to elucidate primary interactions and to identify ideal populations that would benefit from structural rehabilitation of the spine and posture techniques as discussed herein.
PAO is a paid consultant to CBP; DEH teaches spine rehabilitation methods and sells products related to the treatment of spine deformities. IMM has nothing to declare.
Anterior–posterior Biodex Balance System SD Chiropractic BioPhysics® Chronic discogenic lumbar radiculopathy Cord interstitial pressure Central nervous system Cervical range of motion Cervical spondylotic myelopathy Carpal tunnel syndrome Dermatomal somatosensory evoked potentials Electromyography Forward head posture Head repositioning accuracy Mean arteriole pressure Medial-lateral Magnetic resonance imaging Neutral head position Central conduction time Overall stability index Parkinson’s disease Randomized controlled trial Smooth pursuit neck torsion Sympathetic skin resistance Transcutaneous electrical nerve stimulation Thoracic hyper-kyphosis Trigeminal neuralgia Tourette’s syndrome
Object tracking is defined as a problem of estimating the object’s trajectory, done by means of a video image. There are several tools for tracking objects and are used in various fields of research, such as computer vision, digital video processing, and autonomous vehicle navigation [1]. With the emergence of high-performance computers, high-resolution cameras, and the growing use of so-called autonomous systems that, in addition to these items, require specialized tracking algorithms, increasingly accurate and robust for automatic video analysis, has currently been the target of numerous research on the development of new object tracking techniques [2, 3].
Object tracking techniques are applicable to motion-based reconnaissance cases [4], automatic surveillance systems [5], pedestrian flow monitoring in crosswalks [6], traffic control [7], and autonomous vehicular navigation [8]. Problems of this type are highly complex due to the characteristics of the object and the environment, generating many variables, which impairs performance and makes the application of tracking algorithms unfeasible to real-world situations. Some approaches seek to resolve this impasse by simplifying the problem, reducing the number of variables [9]. This process, in most cases, does not generate good results [10, 11], making it even more difficult to identify the main attributes to be selected to perform a task [12, 13].
Most of the object tracking problems occur in open environments, so-called uncontrolled [14]. The complexity of these problems has attracted the interest of the scientific community and generated numerous applied research in various fields of research. Current approaches, such as the ones that use convolutional neural networks—CNN, deal well with the high number of variables of these types of problems, providing space–temporal information of the tracked objects, through three-dimensional convolutions [15, 16, 17]. This ends up creating an enormous number of learnable parameters, which ends up generating an overfitting [11]. A solution to reduce this number of learnable parameters was combining space–time data, extracted using the optical flow algorithm, used in the Two-Stream technique [18, 19, 20]. However, this technique presents good results only for large datasets, showing itself to be inefficient for small datasets [15, 21].
In recent years, research using machine learning has been applied to tracking problems, gaining notoriety due to the excellent results obtained in complex environments and attribute extraction [21, 22, 23]. Deep learning stands out among these techniques for presenting excellent results to unsupervised learning problems, [24], object identification [25], semantic segmentation [26]. Random trees are also examples of machine learning techniques, and their excellent results, due to their precision and great capacity to handle a large volume of data and low overfitting tendency [27, 28], and widely used in research areas such as medicine, in the prediction of hereditary diseases [29], agriculture to increase the productivity of a given plantation crop and in astronomy, acting on the improvement of images captured by telescopes, in the spectrum electromagnetic radiation not visible to the human eye [30]. The possibilities of applications, and new trends and research related to machine learning techniques, with particular attention to random trees, allow the development of algorithms that can be combined with existing ones, in the case of optical flow algorithms, (belonging to computational field of view) taken advantage of in this way, the advantages of each [31, 32, 33].
Developing an algorithm whose objective is to track objects, using the particular advantages of these techniques in a combined way, justifies creating a tracking algorithm that combines the optical flow technique, adapted in this work in terms of the Gaussian curvature associated with a minimal surface, with a random trees waiting for it to capture on this surface a minimum number of optical flow vectors that characterize the moving object, accurately and with low computational cost, contributing not only in the fields of computational vision but in other branches of science, such as in medicine, it can help in the early identification of infarctions.
Due to the large number of studies related to the technique of object tracking, only a small number surrounding this theme will be addressed. The focus of this project is not to make a thorough study on the state of the art. With this in this item, the main works in the literature, associated with the tracking of objects, will be presented. Among the various approaches used for this context, we highlight those focused on the techniques of optical flow, and others belonging to machine learning, such as those that use identifications of patterns, which allow relating, framing, and justifying the development of this proposal and its importance, through its contribution, to the state of the art.
Object tracking is defined as a process that allows you to uniquely estimate and associate the movements of objects with consecutive image frames. The objects considered can be from one, the set of pixels belonging to a region of the image. The detection of pixels is done by a motion detector or objects, which allows to locate objects with similar characteristics that move, between consecutive frames.
These characteristics of the object to be tracked are compared with the characteristics of a reference object modeled by a classifier over a limited region of the so-called region of interest frame, where the probability of detection of the object is greater. Thus, according to [33], the detector of traced objects, locate several objects on the different parts of the region of interest and performs the comparison of these objects with the reference object. This process is performed for each frame and each object detected, candidate to be recognized as the greatest possible similarity, to the reference object can be represented, through a set of fixed-size characteristics, extracted from this region containing a set of pixels, which can be represented by a numerical array of data.
Thus, mathematically, the region containing a set of pixels belonging to the regions of the object of interest, where the characteristics that allow to test whether the region of the frame, in which the object to be traced is, is given by:
where,
According to the works of [34, 35], learning methods are used to adapt the changes of movement and other characteristics such as geometric aspect and appearance of the tracked object. These methods are usually used adaptive tracked object trackers and detectors. The following will be presented other types of object trackers, found in the literature.
According to [36], a classifier can be defined with a
The classifier aims to determine the best way to discriminate the data classes, on the space of characteristics. The test data form a set containing the characteristics of the candidate objects, which have not yet been classified. The position of the object to be tracked in the frame is defined as the position corresponding to the highest response of the detector of the object to be tracked on the
where the variable
Offline-trained classifiers are generally employed in object detectors designed to detect all new objects of interest that enter the camera’s field of view [37]. The training set
In [38], trackers that use the detection tracking technique deal with object tracking, as a binary classification problem whose goal is to find the best function
In [39], were developed trackers that used detectors of objects to be tracked, formed by classifiers in committee formed by binary classifiers said weak. For [40], a binary classifier is defined as a classifier, used in problems where the class
A classifier is said to be weak, when it has a probability of “hitting” a given data class, only slightly higher than a random classifier. The detector of the object to be tracked must separate the crawled object from the other objects and the environment. Its purpose and determine the position of the tracked object, according to the equations (1)–(3)
For [43], the term monitoring system, refers to the process of monitoring and autonomous control, without human intervention. This type of system has the function of detecting, classifying, tracking, analyzing, and interpreting the behavior of objects of interest. In [44, 45], this technique was used combined with statistical techniques for controlling people’s access to a specific location. It was also observed the use of intelligent monitoring systems, applied to building, port, or ship security [46, 47].
The functions comprised by a monitoring system are so-called low- and high-level tasks. Among some high-level tasks, we highlight the analysis, interpretation and description of behavior, the recognition of gestures, and the decision between the occurrence or not of a threat. Performing high-level tasks require that for each frame, the system needs to perform low-level tasks, which involve direct manipulation of the image pixels [48, 49, 50, 51, 52, 53, 54, 55, 56]. As an example, we highlight the processes of noise elimination, detection of connected components, and obtain information on the location and geometric aspect of the object of interest.
A monitoring system consists of five main components, which are presented in Figures 9. Some monitoring systems may not contain all components. The initial detector aims to detect the pixel regions of each frame that have a significant probability of containing an object to be tracked. This detector can be formed by a motion detector that detects all moving objects based on models of objects previously recorded in a database or based on characteristics extracted offline [40, 41]. The information obtained by the initial detector is processed by an image processor], which will have the function of eliminating noise, segmenting, and detecting the connected components.
The regions containing the most relevant pixels are analyzed and then classified as objects of interest by the classifier [50, 51, 52, 53, 54]. Objects of interest are modeled and are now called reference objects so that the tracker determines its position frame by frame [55, 56]. The information obtained by the initial detector is processed by an image processor], which will have the function of eliminating noise, segmenting, and detecting the connected components.
A tracker, an integral part of a detector, is defined as a function that allows estimating the position of objects at each consecutive frame, through and defines the region of the object of interest, for each
Main component of a monitoring.
Several techniques that allow the calculation to have been developed in recent years to calculate the optical flow vector [57]. These methods are grouped according to their main characteristics and the approach used for the calculation of the optical flow. Thus, the differential methods performed in the studies in [56], the methods d and calculation of the optical flow through the frequency domain [46] the phase correlation methods [58], and the method of association between regions [59].
The method proposed in [56], allows the calculation of the optical flow for each point around a neighborhood of pixels. In [60], it is also considered a neighborhood of pixels, but in this case, the calculation of the optical flow is performed geometrically. In the work presented by [61] it is adding of the restrictions of regularization. In [62] turn active compare performance analyses were performed between the various algorithms and optical flow present in the literature.
This technique is considered robust for detaining and tracking moving objects from your images, both those captured by fixed or mobile cameras. This gives this technique, but high computational cost makes most practical applications unfeasible. Thus, to reduce this complexity, techniques of increasing resolutions were adopted in [63]. Also, for the same purpose, we used the techniques of subsampling on some of the pixels belonging to the object of interest to obtain optical flow [52].
Other authors also use a point of interest detector to select the best pixels for tracking and calculate the optical flow on these points [52, 64]. The reduction in the number of points to be tracked is associated with a decrease in computational complexity, so in [52] the points of interest were selected using the FAST algorithm [64].
The method developed by Lucas-Kanade [56], it is a differential method and widely used in the literature and having variations modifications. It allows you to estimate the optical flow for each point
where
New variations of the techniques were being proposed to make the calculation of the optical flow faster and faster. In [65] a tracker was proposed based on the algorithm of [56]. The translation of a point represented by a grid of rectangular sized pixels 25 × 25, was calculated and its validity is evaluated by calculating the SSD1 in the grid pixels in
In [51] objects were detected by subtracting the image from the environment and removed the movement of the camera with the calculation algorithm of the optical flow vector proposed by [56]. In the studies carried out in [66, 67], they showed that the reliability of the estimated optical flow reduced the case of some points of the object of interest whose optical flow cannot be represented by the same matrix given by the related transformation
In [67] they also modified Lucas - Kanade’s algorithm [56] by inserting the Hessian matrix in the calculation of the value of the variation of the related transformation
Already in the proposal presented in [68] was the development of algorithm to detect people in infrared images that combines the information of the value of pixels with a method of motion detection. The algorithm forms a relevant pixel map by applying thresholding segmentation. While the camera is still, an image
The method for tracking swimmers presented in [46], uses the information of the movement pattern by the optical flow and the appearance of the water that is modeled by a MoG.2 This allows you to calculate an optical flow vector for each pixel of the video independently of the other, through
In [69], a method was presented that incorporated physical restrictions to the calculation of optical flow. The tracker uses the constraints to extract the moving pixels with a lower failure rate. The calculation can be impaired when occlusions occur or when the environment has low light. The operator defines the physical constraints and selects the points of the
In [70], the points that are tracked with the optical flow are defined by applying the Canny edge detector on the pixels of the reference pixel map. Pixels that produce a high response to the Canny detector are the selected points.
In [43], optical flow is used as a characteristic for tracking the contour of the object. The contour is shifted in small steps until the position in which the optical flow vectors are homogeneous is found.
In [64], they performed an estimate of the translation and orientation of the reference object by calculating the optical flow of the pixels belonging to its silhouette. The coordinates of the centroid position are defined by minimizing the Hausdorff distance between the mean of the optical flow vectors of the reference object and the candidate object to be chosen as the object of interest.
Optical flow is defined as a dense vector field associated with the movement and apparent velocity of an object, given by the translation of pixels from consecutive frames in an image region. It can be calculated from the brightness restriction, considered constant, from the corresponding pixels in consecutive frames.
Mathematically be a pixel
So that equation (7) is called optical flow restriction and where the terms
The number of variables in equation (6) is greater than that of equations, which does not allow estimating components and vector, and determining a single solution for the optical flow restriction equation. With this, Lucas and Kanade proposed a solution to solve this problem. The solution method proposed by them considers the constant flow in a region formed by a set of pixels
Passing the set of equations given by equation (8) to the matrix form we have:
Using the least squares method, in the system of equations (9) in the form of matricial, the same can be solved. Therefore, the optical flow
Where:
Therefore, one has that:
Thus:
This method has a reduced computational cost to determine optical flow estimation when compared to other methods because it is simple, that is, it is since the region in which the variation of light intensity between pixels is minimal has a size
To calculate the optical flow over the size region
Where the terms
In view of the small variations present and accumulated along the vector field associated with the optic flow, which cause an additional error in equation (13), a regularization adjustment was made, given by equation (14):
Thus, combining equations (13) and (14), the error
where
where
and replacing the coefficients
whereas
It is possible to reduce the data system by (17), such as:
where the term
Where
Therefore, isolating terms
The Algorithm 1 is a pseudocode to generate the proposed optical flow vector, through equations (24) and (25) and that allow estimating the speed and position of an object, through a sequence of video images.
Begin
For I = 1…N do
Convert images to a gray tone
Calculate the partial derivatives of 1°and 2°orders of
Calculate constants
Calculate the discretized Laplacians of
Calculating Gaussian curvature
Calculate flow components (
End For
End
Developed by Breiman [63] in the mid-2000s, and later revised in [71] random trees are considered one of the best-supervised learning methods used in data prediction and classification. Due to its simplicity, low computational cost, great potential to deal with a large volume of data, and still present great accuracy of results, currently this method has become very popular being applied in various fields of science as data science [72]. Bioinformatics, Ecology, in real-life systems and recognition of 3D objects. In recent years, several studies have been conducted with the objective of making the technique more elaborate and seeking new practical applications [73, 74, 75].
Many studies were carried out with the aim of narrowing the existing gap between theory and practice can be seen in [58, 76, 77, 78]. Among the main components of random tree forests, one can highlight the bagging method [63], and the criterion of classification and regression called cart
Bagging (a bootstrap-aggregating contraction) is an aggregation scheme, which generates samples through the bootstrap method, from the original dataset. These methods are nonparametric and belong to the Monte Carlos method class [80], treating the sample as a finite population. Still, these methods are used when the distribution of the target population is not specified, and the sample is the only information available. How in this way a predictor of each sample is constructed, so that the decision is made through an average, and is more effective computational procedures to improve the indexable estimates, especially for large sets of high-dimensional data, where finding a good model in one step is impossible due to the complexity and scale of the problem. As for the cart-split criterion, it originates from the CART program [63], and is used in the construction of individual trees to choose the best cuts perpendicular to the Axes. However, while bagging and the CART division scheme are key elements in the random forest, both are difficult to mathematically analyze and are a very promising field for both theoretical and practical research.
In general, the set of trees is organized in the form of {
The methodology employed consisted of combining the optical flow algorithm in terms of Gaussian curvature, developed in this work together with the technique of random forest. The language used for the development of this algorithm was the MATLAB programming language, executed on a 64-bit 8th generation notebook, CORE i7. The input data is a video extension Avi, lasting 5 min of a vehicle and two cyclists, circulating in the vicinity of the beach of Costa Nova, in the locality of Ilhavo, in Aveiro, Portugal. The video was fragmented into a set of frames, analyzed two by two by the algorithm for the generation of the vector field of optical flow. After that, the resulting image associated with the flow and a minimal surface region, given by the Gaussian curvature. Next on this surface, the random trees analyzed which vectors presented important characteristics to characterize in an “optimal” way, the movement of the object (see Figure 2).
Representative model of operation of a random forest.
After finishing the process of analysis of the movement of the objects, the execution times and accuracy of the results obtained by the proposed algorithm were compared in relation to the algorithms of Lucas Kanade, Horn and Shunck, Farneback and Lucas Kanade with or without Gaussian filter, allowing to validate the results obtained. After that, the implementation of the developed algorimo began.
Figure 3 shows the vehicle and the two cyclists that were used to collect the image to which the results proposed in this work were obtained so that the choice was random on the right side. A graphical representation of the vector field of optical flow generated by the sequence of two consecutive frames, over 5 minutes of video is shown.
(a) Left side: vehicle shift between moments
On the right side of Figure 3, the optical flow associated with the movement of the vehicle between the time intervals from
The region with the highest horizontal vector density in Figure 3 is located on the left side, in blue. It is also observed that the number of vectors in this region, despite being spaced, starting from the center to the left, is greater in relation to the number of vectors on the right side. It is also possible, through it, to visually evaluate the movement behavior of the considered objects. This region, containing a higher vector density, corresponds to the current direction in which the object is heading and its predicted displacement. It is also possible to observe that this vector density increases towards the left side, passing through the central part, coming from the right, clearly indicating the direction of movement of the object, that is, the object moves to the left. In Figure 4, this process can be understood more clearly.
Prediction and actual displacement of the object obtained through the optical flow.
In a similar way to the one mentioned in Figure 3, on the right side of Figure 5, the optical flow generated by the displacement of the moving vehicle is represented, between the instants
Object remains on the right side, but with a medium offset to the right and displacement estimate still to the left.
It is possible to observe a small increase in the vector density to the left, but that has a great influence on the determination of the real and predicted position of the object in the considered time intervals. The Object continues with its actual movement to the left, as well as the predicted movement of the object to the left. However, he showed a slight movement to the left (direction where the cyclists are).
In Figure 6, a small variation of the optical flow is observed again in the associated movement between the instants
Object remains on the right side, but with a slight shift to the right and offset estimate to the left.
In Figure 7, there was no optical flow variation in the associated movement between the time intervals
Object moving and keeping on the left for consecutive frames.
In Figure 8, the vehicle can be seen completely overtaking the two cyclists and approaching another vehicle in the opposite direction in the upper part of the image (left). The variation of the optical flow vector field remains the same. This indicates that the vehicle continues its trajectory, on the left side to the cyclists, however without posing a danger of collision for the other vehicle in the opposite direction.
Object with unchanged offset pattern.
This item will show how the performance evaluation of the proposed algorithm and accuracy was performed in relation to the Algorithms of Luca and Kanade, with or without Gaussian filter, Horn and Schunck, and Farneback.
The algorithm allowed to show on the display in real-time the displacement of the object on the right side and the set of vectors capable of representing the movement of the real-time or accumulated indicating the tendency, in this case, of the direction that the object should perform. This process was carried out in a similar way, using the other algorithms to make it possible to compare them. The behavior of the proposed algorithm and the other will be graphically shown.
The technique developed in this work allowed to generate an optical flow considering important geometric properties allowing to identify similar categories of moving objects and same characteristics. These geometric properties are intrinsically associated with the curvature of the object’s surface in three-dimensional space, called Gaussian curvature, in this case in a 2D image.
The modified optical flow, considering these properties, generated a dense optical flow, allowing the generation of a band, describing a track on the 2D plane. This allowed tracking the movement of the considered object. In the same Figure 8, it is possible to observe that at each time interval in which the object was monitored, the dispositions of the vectors for the left and right sides, as shown in Figures 3–7 were responsible for drawing the track associated with the displaced and that allowed tracking the object as it moves.
Figure 9 shows the vehicle that, when moving, generated the optical flow. In Figures 10 and 11, the variations of the optical flow between two-time intervals,
Variation of the optical flow of the moving object.
Vehicle movement.
Object moving to the left side.
In the following items, the implementations of the Lucas and Kanade algorithms without or with a Gaussian filter, Horn and Schunck, and Farneback will be shown, using as input data the same sequence of video images used in the algorithm developed in this work. For each, the performance and accuracy obtained will be verified.
For each of the 5 algorithms, 1 frame is shown containing 4 figures, with 2 upper and 2 lower. In each frame, the figure at the top left shows the variation of the vector field between two frames. The right frame, on the other hand, corresponds to the variation of the object’s movement in real-time. The lower ones, except for the proposed algorithm, correspond to the number of points on the right or the left, and with this, the movement will occur to the side that has the greatest number of points. In the case of the proposed algorithm, the process will take place through the analysis of vector density. So, to the side where there is greater vector density, this is the side to which the movement will be occurring (see Figures 12–20).
Object moving to the right side.
Variation of the optical flow of the moving object.
Vehicle movement.
Object moving to the left side.
Object moving to the right side.
Variation of the optical flow of the moving object.
Vehicle movement.
Object moving to the left side.
Object moving to the right side.
Comparing the results presented by the algorithms, it is observed that in the developed model, it was possible to see a dense vector trail of the object, with a slight tendency of displacement to the left, as it continues its movement. In the other models, this was not possible, and it is necessary to resort to a score of points, in the lower table. This process is also possible in the proposed model, but not necessary, which means a reduction in computational cost (see Figures 21–28).
Variation of the optical flow of the moving object.
Vehicle movement.
Object moving to the right side.
Object moving to the left side.
Variation of the optical flow of the moving
Vehicle movement.
Object moving to the left side.
Object moving to the left side.
Comparing the results, it is observed that the Farneback algorithm also presents high vector density. But the proposed model, as previously said, presents a well-defined vector trail which suggests the non-use of the point count in the lower frame, which does not occur for the Farneback algorithm, indicating higher computational cost, which can affect the accuracy of this algorithm when compared to the proposed algorithm.
Comparing the Horn and Schunck algorithm, a low vector density is observed when compared to the proposed algorithm, which indicates lower accuracy when compared to the proposed algorithm.
Although the two techniques of Lucas and Kanade, are faster applications, indicating low computational cost when compared to the proposed algorithm, the factor of low vector density results in low precision in relation to the proposed method.
The proposed method presented good results, showing to be accurate and reasonable speed. This allows this application to be used in critical problems, i.e., to real-world problems. However, it presented limitations that could be verified when compared to the model with Lucas and Kanade, with a Gaussian filter, which is faster and presents good accuracy.
The proposed Method reached only approximately 50% execution speed in relation to the Lucas and Kanade Method, which motivates further improvements to the Method. The technique presented can be applied to other fields of research as in cardiology due to presenting great precision when submitted to small region, which is important because it can be applied with the objective of predicting infarctions and as a current contribution, for the state of the art is to characterize the optical flow in terms of Gaussian curvature, that makes it possible to highlight fields of research such as computational vision and differential geometry.
The authors of this work would like to thank the Institute of Electronics and Informatics Engineering of Aveiro, the Telecommunications Institute of Aveiro, and the University of Aveiro for the financial, technical-administrative, and structural support provided that allowed the accomplishment of this work.
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\n\nThe Open Access Publishing Fee (OAPF) is payable only after your book chapter, monograph or journal article is accepted for publication.
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\n\nDuring the launching phase journals do not charge an APC, rather they will be funded by IntechOpen.
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\n\n\r\n\tEducation and Human Development is an interdisciplinary research area that aims to shed light on topics related to both learning and development. This Series is intended for researchers, practitioners, and students who are interested in understanding more about these fields and their applications.
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Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. 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