Biomedical Signal Processing: Advances in Theory, Algorithms and Applications PDF
Preview Biomedical Signal Processing: Advances in Theory, Algorithms and Applications
Series in BioEngineering Ganesh Naik Editor Biomedical Signal Processing Advances in Theory, Algorithms and Applications Series in BioEngineering The Series in Bioengineering serves as an information source for a professional audience in science and technology as well as for advanced students. It covers all applications of the physical sciences and technology to medicine and the life sciences.Itsscoperangesfrombioengineering,biomedicalandclinicalengineering to biophysics, biomechanics, biomaterials, and bioinformatics. More information about this series at http://www.springer.com/series/10358 Ganesh Naik Editor Biomedical Signal Processing Advances in Theory, Algorithms and Applications 123 Editor Ganesh Naik MARCSInstitute Western Sydney University Penrith, NSW,Australia ISSN 2196-8861 ISSN 2196-887X (electronic) Series in BioEngineering ISBN978-981-13-9096-8 ISBN978-981-13-9097-5 (eBook) https://doi.org/10.1007/978-981-13-9097-5 ©SpringerNatureSingaporePteLtd.2020 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpart of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission orinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilar methodologynowknownorhereafterdeveloped. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publicationdoesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfrom therelevantprotectivelawsandregulationsandthereforefreeforgeneraluse. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained hereinorforanyerrorsoromissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregard tojurisdictionalclaimsinpublishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSingaporePteLtd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore Foreword Attheheartofbiomedicalanalysisandengineeringsolutions,thereissuperbsignal processing. Computational, mathematical, and engineering fields such as data analytics, machine learning, and AI, and biomedical engineering are developing rapidly. A comprehensive, accessible, and research-informed book on recent advancesinbiomedicalsignalprocessingisoverdue.BiomedicalSignalProcessing editedbyDr.GaneshNaikmeetsthisneedbyreportingthelatestadvancesinsignal processing conveyed through examples of leading-edge research. Recent devel- opments captured in the collection span new theoretical frameworks and algorith- mic breakthroughs presented through specific applications. BiomedicalengineerDr.GaneshNaikisavitalresearcherintheBiomedicaland Human Technologies program in the research institute that I direct, the MARCS Institute for Brain, Behaviour and Development at Western Sydney University. MARCS Institute’s programs of basic science and translational research are designedtoadvanceknowledgeandfindsustainablesolutionstotheproblemsthat matter most concerning humans and their interaction with other humans and technology. Unashamedly interdisciplinary, engineers, cognitive scientists, devel- opmental psychologists, linguists, neuroscientists, and speech and music scientists come together to solve the problems that matter most through the themes: sensing and perceiving, interacting with each other, and technologies for humans (https://www.westernsydney.edu.au/marcs). Dr. Naik joined the MARCS Institute at Western Sydney University in 2017 bringing his biomedical signal processing prowess to an industry-led project developing a noninvasive wearable for sleep apnea research. Ganesh joined the MARCS Institutefor Brain, Behaviour, and Developmentas askilledand talented engineerwithexpertisegainedinlabsinSydneyandMelbourneinAustraliaaswell as Vellore Institute of Technology and Mysore University, India. External recog- nition of the rigor and quality of Ganesh’s work includes fellowships from the University of Technology Sydney, Skills Victoria, IEEE Victoria, and an adjunct professor appointment at Vellore Institute of Technology. My background is cognitive science, and I have a particular interest in the human-machine nexus. In fact, Dr. Naik and I first met through an interdisciplinary research network funded v vi Foreword by the Australian Research Council on Human Communication Science. Funded for 5 years from 2004 to 2009, HCSnet was convened by Denis Burnham and me at Western Sydney University together with Robert Dale at Macquarie University. TheeditedcollectionBiomedicalSignalProcessingisorganizedintofourparts. Part I is devoted to recent developments in theories, algorithms, and extensions of EMGsignalanalysis.Thepartbeginswithadescriptionofthestate-of-the-artEMG signalprocessingandclassification.Subsequentchaptersdiscusstheapplicationof EMGsignalprocessingtorobotsforassistiverehabilitation,thenforcemyography appliedtohumanlocomotion,andthefinalchapterinPartIreportsacasestudyof maximum voluntary contraction (MVC) and triceps brachii and biceps brachii. The second part focuses on brain-computer interface (BCI) and EEG signal processing. Applications include a BCI for classifying signals associated with motor imagery; artificial neural networks applied to EEG to detect effects of bin- aural stimuli; automated detection using wavelet filter banks of seizure versus nonseizure EEG; and automated identification of seizures using Fourier-Bessel series expansion-based empirical wavelet transform (FBSE-EWT). Inthethirdpart,newECGandcardiacapplicationsarereported.Theseincludea review of unipolar cardiac leads; classifying arrhythmia using long-duration ECG signal fragments analysis; data analytics applied to ECG; benefits of tensor-based methods in cardiac contexts; and ECG signal processing for remote monitoring of cardiovascular disease (CVD). In the fourth part, biomedical signal processing is extended to proteomic applications. Biomedical Signal Processing offers academic researchers and practitioners a comprehensiveandcontemporaryaccountofdevelopmentsinthisfast-movingfield. WithauthorsfromAustralia,Brazil,Canada,China,India,NorthAfrica,Poland,and theUSA,thebookreflectsaninternationalupdateonbiomedicalsignalprocessing methods and applications. With the health and medical challenges faced by the world’sgrowingandagingpopulation,weneedbiomedicalsignalprocessingmore than ever! This edited volumeisa timely andexcellent resourcefor undergraduate andgraduatestudentsaswellasresearchersworkingwitharangeofphysiological, multidimensional,time-varyingdata,andsignalprocessingtechniques.Icommend theedition to all who are interested inbiomedical signal processing. April 2019 Professor Catherine J. (Kate) Stevens, Ph.D. Director, MARCS Institute for Brain, Behaviour, and Development Western Sydney University Bankstown, NSW, Australia Preface The recent advances in modern signal processing techniques in medicine have improved the accuracy and reliability of medical diagnoses. Today, biomedical signal analysis is becoming one of the most important visualizations and inter- pretation methods in biology and medicine. The goal of the present book is to present a complete range of proven and new methods that play a leading role in the improvement of biomedical signal analysis and interpretation. The book provides a forum for researchers to exchange their ideasandtofoster abetter understandingofthestateoftheart ofthesubject.This book is intended for biomedical, computer science, and electronics engineers (researchersandgraduatestudents)whowishtogetnovelresearchideasandsome training in novel biomedical research areas, especially on ECG, EEG, and EMG signal applications. Additionally, the research results previously scattered in many scientificarticlesworldwidearecollectedmethodicallyandpresentedinthebookin a unified form. The book is organized into four parts. The first part is devoted to recent developmentsintheories,algorithms,andextensionsofEMGsignalprocessingand human locomotion applications. In this part, we have collected four chapters with several novel contributions. The set of chapters include an insight on EMG signal processing, classification, and practical considerations the by Angkoon, Evan and Eric; estimation of ankle joint torque and angle based on EMG for assistive rehabilitation robotsbyPalayilBabyetal.;forcemyographyanditsapplicationto human locomotion by Anoop et al.; and an application of EMG for stroke reha- bilitation applications by Naik et al. The second part focuses on the various applicationsofEEGanditslinkstootherrelevantareas,suchasBCIandepileptic seizure identification system. We have gathered five chapters in this part, and they are, respectively, EEG-based BCI to classify motor imagery signals by Andrade et al., artificial neural networks on multi-channel EEG data to detect the effect of binauralstimuliinrestingstatebyJúnioretal.,automateddetectionofseizureand nonseizure EEG using two band biorthogonal wavelet filter banks by Bhati et al., automatedidentificationofepilepticseizures fromEEG using FBSE-EWT method by Gupta et al., and DWT-based epilepsy seizures by Sharmila and Geethanjali. vii viii Preface The third part covers various cardiac and ECG signal processing applications, namely,unipolarcardiacleadsECGanalysisbyHusseinetal.,cardiacarrhythmias classification based on long-duration ECG signal fragments analysis by Plawiak and Abdar, artificial intelligence-enabled ECG big data mining for pervasive heart health monitoring by Zhang, tensor-based approaches in cardiac applications by Padhyetal.,syntacticmethodsforECGdiagnosisandQRScomplexesrecognition by Hamdi et al., and extraction of ECG significant features for remote CVD monitoringbyNareshandAcharyya.Thefinalpartcoversachapteronaccelerated computational approach in proteomics by Bhardwaj, Gudur, and Acharyya. Iwanttothanktheauthorsfortheirexcellentsubmissions(chapters)tothisbook and their significant contributions to the review process, which have helped to ensurethehighqualityofthispublication.Withouttheircontributions,itwouldnot have been possible for the book to come successfully into existence. Penrith, NSW, Australia Ganesh Naik April 2019 Contents Myoelectric Signal Processing and Human Locomotion Surface Electromyography (EMG) Signal Processing, Classification, and Practical Considerations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Angkoon Phinyomark, Evan Campbell and Erik Scheme EstimationofAnkleJointTorqueandAngleBasedonS-EMGSignal for Assistive Rehabilitation Robots. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 Palayil Baby Jephil, Paras Acharaya, Lian Xu, Kairui Guo, Hairong Yu, Mark Watsford, Song Rong and Steven Su Force Myography and Its Application to Human Locomotion. . . . . . . . 49 Anoop Kant Godiyal, Vinay Verma, Nitin Khanna and Deepak Joshi Comparison of Independence of Triceps Brachii and Biceps Brachii Between Paretic and Non-paretic Side During Different MVCs—A Case Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71 Ganesh Naik, Rifai Chai, Steven Su, Song Rong and Hung T. Nguyen BCI and EEG Signal Processing Applications An EEG Brain-Computer Interface to Classify Motor Imagery Signals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 Maria Karoline Andrade, Maíra Araújo de Santana, Giselle Moreno, Igor Oliveira, Jhonnatan Santos, Marcelo Cairrão Araújo Rodrigues and Wellington Pinheiro dos Santos Using Artificial Neural Networks on Multi-channel EEG Data to Detect the Effect of Binaural Stimuli in Resting State . . . . . . . . . . . . 99 Maurício da Silva Júnior, Rafaela Covello de Freitas, Washington Wagner Azevedo da Silva, Marcelo Cairrão Araújo Rodrigues, Erick Francisco Quintas Conde and Wellington Pinheiro dos Santos ix
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