Berlin: Springer-Verlag Berlin, 2007. — 468 p. This book deals with the acquisition and extraction of the various morphological features of the electrocardiogram signals. In the first chapters the book first presents data fusion and different data mining techniques that have been used for the cardiac state diagnosis. The second part deals with heart rate variability (HRV), a...
New York: Roulledge, 2017. — 621 p. Considerable attention from the international scientific community is currently focused on the wide ranging applications of wavelets. For the first time, the field's leading experts have come together to produce a complete guide to wavelet transform applications in medicine and biology. Wavelets in Medicine and Biology provides accessible,...
Biofeedback and Self-Regulation, Vol. 3, No. 2, 1978, 25 р.
Current controversies concerning outcomes of EEG alpha feedback training
are at least in part due to methodological differences among different
studies. The aim of this paper is to provide future and present researchers in
this field with an analysis of methods used in most of the studies published
from 1968 to...
ITexLi, 2022. — 278 p. — ISBN 1803555629 9781803555621 1803555610 9781803555614 1803555637 9781803555638. Biosignal processing is an important tool in medicine. As such, this book presents a comprehensive overview of novel methods in biosignal theory, biosignal processing algorithms and applications, and biosignal sensors. Chapters examine biosignal processing for glucose...
N.-Y., Morgan & Claypool, 2008. - 109p.
В монографии ставится задача изучения связей между отделами коры мозга человека с использовнаием методов цифровой обработки сигналов и статистики временных рядов. Рассмотрены подходы на основе структурных уравнений и многомерной авторегрессии, обсуждён вопрос реалистического моделирования геометрических и физических свойств тканей головы,...
Karlskrona: Blekinge Tekniska Högskola, 2013. — 69 p. A Brain-Computer Interface (BCI) is a system to communicate with external world through the brain activity. The brain activity is measured by Electro-Encephalography (EEG) and then processed by a BCI system. EEG source reconstruction could be a way to improve the accuracy of EEG classification in EEGbased brain–computer...
Momtreal: McGill University, 2011. — 225 p. Electroencephalography (EEG) and magnetoencephalography (MEG) are techniques dedicated to the non-invasive detection of neural current ows through the electromagnetic eld they generate and that can be measured outside the head. Though MEG and EEG were born in physics and electro-physiology laboratories several decades ago, they have...
Boca Raton: CRC Press, 2021. — 337 p. This book examines the use of biomedical signal processing—EEG, EMG, and ECG—in analyzing and diagnosing various medical conditions, particularly diseases related to the heart and brain. In combination with machine learning tools and other optimization methods, the analysis of biomedical signals greatly benefits the healthcare sector by...
De Gruyter, 2022. — 316 p. This book explains the principles of biosignal processing and its practical applications using MatLAB. Topics include the emergence of biosignals, electrophysiology, analog and digital biosignal processing, discretization, electrodes, time and frequency analysis, analog and digital filters, fourier transformation, z-transformation, pattern...
Berlin: de Gruyter, 2022. — 316 p. This book explains the principles of biosignal processing and its practical applications using MatLAB. Topics include the emergence of biosignals, electrophysiology, analog and digital biosignal processing, discretization, electrodes, time and frequency analysis, analog and digital filters, fourier transformation, z-transformation, pattern...
2nd edition. — CRC Press, 2022. — 370 p. — ISBN 978-1-032-10552-9. Covering the latest cutting-edge techniques in biomedical signal processing while presenting a coherent treatment of various signal processing methods and applications, this second edition of Practical Biomedical Signal Analysis Using MatLAB also offers practical guidance on which procedures are appropriate for...
Basel: Mdpi AG, 2021. — 298 p. Complexity is a ubiquitous phenomenon in physiology that allows living systems to adapt to external perturbations. Fractal structures, self-organization, nonlinearity, interactions at different scales, and interconnections among systems through anatomical and functional networks, may originate complexity. Biomedical signals from physiological...
Hershey: Medical Information Science Reference, 2009. — 641 p. Advances have been made in improved signal and image interpolation that derive a unified framework, thus achieving improvement of the approximation properties of the interpolation function regardless of its dimensionality or degree. Improved Signal and Image Interpolation in Biomedical Applications: The Case of...
York: University of York, 2010. — 173 p. Magnetoencephalography (MEG) is a non-invasive technology for imaging human brain function. Contemporary methods of analysing MEG data include dipole fitting, minimum norm estimation (MNE) and beamforming. These are concerned with localising brain activity, but in isolation they do not provide concrete evidence of interaction among brain...
Singapore: World Scietific, 2015. - 224p. This book is devoted to the application of advanced signal processing on event-related potentials (ERPs) in the context of electroencephalography (EEG) for the cognitive neuroscience. ERPs are usually produced through averaging single-trials of preprocessed EEG, and then, the interpretation of underlying brain activities is based on the...
Journal of Experimental Psychology: General Copyright 1981 by the American Psychological Association, Inc. 1981, Vol. 110, No. 3, 381-397 0096-3445/81/1003-0381S00.75
A critical assumption in the rationale for the clinical application of voluntary control
over central nervous system (CNS) activity is that there exists a direct relationship
between specific CNS activities and...
Biofeedback and Self-Regulation, VoL 2, No. 2, 1977
From a screening questionnaire, 12 subjects indicating some prior "'knowledge'"
of alpha training (but no actual biofeedback training experience) and
12 subjects lacking such prior "'knowledge" were selected for two
30-minute feedback sessions, one providing an opportunity to enhance and
the other to suppress EEG alpha....
Journal of Consulting and Clinical Psychology Copyright 1982 by the American Psychological Association, Inc. 1982, Vol. 50, No. 4, 562-575 0022-006X/82/5004-0562$00.75
After a 4-week baseline period during which daily ratings of headache activity
were made and all participants took several psychological tests, 91 patients with
chronic headache (33 tension, 30 migraine, and 28...
Applied Psychophysiology and Biofeedback, Vol. 27, No. 4, December 2002 ( C ° 2002)
Alpha/theta (a/t) neurofeedback training has in the past successfully been used as a complementary
therapeutic relaxation technique in the treatment of alcoholism. In spite of positive
clinical outcomes, doubts have been cast on the protocol’s specificity when compared to
alternative...
Clinical Neurophysiology 115 (2004) 2452–2460
Tobias Egnera,*, T.F. Zechb, J.H. Gruzeliera
aDivision of Neuroscience and Psychological Medicine, Faculty of Medicine, Imperial College London, UK
Department of Clinical Psychology and Psychotherapy, Philipps-University of Marburg, Marburg, Germany
Accepted 16 May 2004
Available online 17 July 2004
Abstract
Objective: To...
Clinical Neurophysiology 115 (2004) 131–139
Department of Cognitive Neuroscience and Behaviour, Faculty of Medicine, Imperial College London, St Dunstan’s Road, London W6 8RF, UK
Accepted 8 March 2003
Abstract
Objective: To test a common assumption underlying the clinical use of electroencephalographic (EEG) biofeedback training
(neurofeedback), that the modulation of...
Biofeedback and Self-Regulation, Vol. 5, No. 2, 1980
The presence of residual muscular tension has been implicated as a
detrimental influence on the performance and learning of motor skills. A
method for reducing muscular tension has been provided by the advent of
biofeedback training. This study investigated the effects of tension-control
training by electromyographic...
Journal of Consulting and Clinical Psychology
1977, Vol. 45, No. 4, 700-701
Replies are offered for Glares' critical comments concerning the research of
Jones and Holmes in which it was found that alpha biofeedback training was
ineffective with alcoholics. It is concluded that the criticisms do not necessitate
a rejection of the data but instead highlight the questionable...
New York: Springer, 2022. — 232 p. This book introduces the origin of biomedical signals and the operating principles behind them and introduces the characteristics of common biomedical signals for subsequent signal measurement and judgment. Since biomedical signals are captured by wearable devices, sensor devices, or implanted devices, these devices are all battery-powered to...
Boca Raton: CRC Pressm 2018. — 249 p. Of the research areas devoted to biomedical sciences, the study of the brain remains a field that continually attracts interest due to the vast range of people afflicted with debilitating brain disorders and those interested in ameliorating its effects. To discover the roots of maladies and grasp the dynamics of brain functions, researchers...
Clemson University, 2011. — 117 p. Epileptiform transients (ETs) are an important kind of EEG signal. They have various morphologies and can be difficult to detect. This thesis describes several approaches to detecting and classifying epileptiform transients (ETs), including Bayesian classification (with Gaussian Assumption), artificial neural networks (Backpropagation...
New York: Academic Press, 2021. — 332 p. Biomedical Signal Analysis for Connected Healthcare provides rigorous coverage on several generations of techniques, including time domain approaches for event detection, spectral analysis for interpretation of clinical events of interest, time-varying signal processing for understanding dynamical aspects of complex biomedical systems,...
Received 17 September 2003; received in revised form 21 May 2004; accepted 24 May 2004
Available online 25 July 2004
Eighty-six children (ages 9–14) with attention deficit hyperactivity disorder (ADHD) participated in this study. Eventrelated
potentials (ERPs) were recorded in auditory GO/NOGO task before and after 15–22 sessions of EEG biofeedback. Each
session consisted of...
Morgan & Claypool, 2006.
Учебное пособие для специалистов по обработке сигналов в биомедицине. Рассмотрены вопросы сбора и первичной обработки и методы анализа, прежде всего Фурье и связанные с ним.
Springer, 2012. — 554 p. — ISBN 978-1-4614-1814-6. Leyton's Process Grammar has been applied by scientists and engineers in many disciplines including medical diagnosis, geology, computer-aided design, meteorology, biological anatomy, neuroscience, chemical engineering, etc. The Process Grammar invents several entirely new concepts in biological morphology and manufacturing...
New York: Springer, 2016. — 289 p.
This book reviews cutting-edge developments in neural signalling processing (NSP), systematically introducing readers to various models and methods in the context of NSP.
Neuronal Signal Processing is a comparatively new field in computer sciences and neuroscience, and is rapidly establishing itself as an important tool, one that offers an...
Издательство CRC Press, 2013, -212 pp.
Biosignal processing has been around for decades, but it still seems to be growing in popularity. With the rise of advanced computerized data collection systems, monitoring devices, and instrumentation technologies, large and complex datasets simply accrue as an inevitable part of biomedical enterprise. The availability of large quantities...
N.-Y.: CRC Press, 2013. — 212 p.
Biosignal processing has been around for decades, but it still seems to be growing in popularity. With the rise of advanced computerized data collection systems, monitoring devices, and instrumentation technologies, large and complex datasets simply accrue as an inevitable part of biomedical enterprise. The availability of large quantities of...
ITexLi, 2020. — 95 p. — ISBN 9781838819781. Умная Биологическая обратная связь: Перспективы и Применения This book addresses five important topics of the perspectives and applications in smart biofeedback: brain networks, neuromeditation,psychophysiological psychotherapy, physiotherapy, and privacy, security, and integrity of data. Smart biofeedback is receiving attention...
Morgan & Claypool, 2006
Посвящена тематике передачи данных во внутрибольничных и межбольничных сетях и обработки сигналов и изображений в системах телемедицины. Отражает практический опыт авторов. Предназначена для разработчиков систем телемедицины.
New York: Morgan and Claypool Publishers, 2008. — 130 p. The book presents recent advances in signal processing techniques for modeling, analysis, and understanding of the heart's electrical activity during atrial fibrillation. This arrhythmia is the most commonly encountered in clinical practice and its complex and metamorphic nature represents a challenging problem for...
Springer, 2015. — 43 p. This book is an enthusiastic contribution containing one of the best research works in the field of EMG Signal Processing. Still another element is provided by many interesting data on signal feature extraction with fuzzy network and an abundance of colourful illustrations. On top of that, there are innumerable historical vignettes that interweave fuzzy...
Cham: Springer, 2022. — 295 p. Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in medicine. This book covers different aspects of biomedical signals-based systems used in the...
New York: IGI Global, 2014. — 425 p. Electromyography (EMG) is a procedure for assessing and recording the electrical activity produced by skeletal muscles. Since the contracting skeletal muscles are greatly responsible for loading the bones and joints, information about the muscle EMG is important to gain knowledge about muscular-skeletal biomechanics. Applications, Challenges,...
Boca Raton: CRC Press, 2024. — 294 p. This book presents the theoretical basis and applications of biomedical signal analysis and processing. Initially, the nature of the most common biomedical signals, such as electroencephalography, electromyography, electrocardiography and others, is described. The theoretical basis of linear signal processing is summarized, with continuous...
Berlin: Springer, 2009. — 383 p. Сборник статей, относящихся к обработке биомедицинских сигналов. Рассмотрены общие вопросы сбора такого рода сигналов, анализ ЭКГ и сердечного ритма, анализ ЭЭГ (включая приложения к эпилептологии), анализ вызванных потенциалов, электромиография, нелинейные методы анализа и др. Для специалистов по разработке методов анализа сигналов в медицине и...
N.-Y.: CRC Press, 2012. - 405p. First published in 2005, Biomedical Signal and Image Processing received a wide and welcome reception from universities and industry research institutions alike, offering detailed yet accessible information at the reference, upper undergraduate, and firstyear graduate levels. Retaining all of the quality and precision of the first edition,...
New York: Springer, 2022. — 211 p. This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. Bringing together expanded versions of selected papers presented at the 2020 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB), it examines the vital...
Springer, 2022. — 462 p. — ISBN 978-3-030-99383-2. This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. Bringing together expanded versions of selected papers presented at the 2020 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB), it...
Cham: Springer, 2023. — 152 p. Signal Processing in Medicine and Biology: Innovations in Big Data Processing provides an interdisciplinary look at state-of-the-art innovations in biomedical signal processing, especially as it applies to large data sets and machine learning. Chapters are presented with detailed mathematics and complete implementation specifics so that readers...
Springer, 2020. — 287 p. This book covers emerging trends in signal processing research and biomedical engineering, exploring the ways in which signal processing plays a vital role in applications ranging from medical electronics to data mining of electronic medical records. Topics covered include statistical modeling of electroencephalograph data for predicting or detecting...
Cham: Springer International Publishing, 2019. — 114 p. — ISBN: 978-3-030-05870-8. This book discusses the design and implementation aspects of ultra-low power biosignal acquisition platforms that exploit analog-assisted and algorithmic approaches for power savings.The authors describe an approach referred to as analog-and-algorithm-assisted signal processing.This enables...
Cham: Springer International Publishing, 2019. — 114 p. — ISBN: 978-3-030-05870-8. This book discusses the design and implementation aspects of ultra-low power biosignal acquisition platforms that exploit analog-assisted and algorithmic approaches for power savings.The authors describe an approach referred to as analog-and-algorithm-assisted signal processing.This enables...
Boca Raton: CRC Press, 2022. — 224 p. Brain Computer Interface: EEG Signal Processing discusses electroencephalogram (EEG) signal processing using effective methodology and algorithms. This book provides a basic introduction to EEG and a classification of different components present in EEG. It also helps the reader to understand the scope of processing EEG signals and their...
Cham: Springer, 2023. — 423 p. This book focuses on advanced techniques used for feature extraction, analysis, recognition, and classification in the area of biomedical signal and image processing. Contributions cover all aspects of artificial intelligence, machine learning, and deep learning in the field of biomedical signal and image processing using novel and unexplored...
Springer, 2005. — 537 p. This book contains the papers that were presented at the XIIIth International Symposium on Hearing (ISH), which was held in Dourdan, France, between August 24 and 29, 2003. From its first edition in 1969, the Symposium has had a distinguished tradition of bringing together auditory psychologists and physiologists. Hearing science now also includes...
Springer, 2023. — 385 p. — ISBN 978-3-031-23238-1. This book presents the modern technological advancements and revolutions in the biomedical sector. Progress in the contemporary sensing, Internet of Things (IoT) and machine learning algorithms and architectures have introduced new approaches in the mobile healthcare. A continuous observation of patients with critical health...
3rd edition. — Wiley-IEEE Press, 2024. — 721 p. Biomedical Signal Analysis provides extensive insight into digital signal processing techniques for filtering, identification, characterization, classification, and analysis of biomedical signals with the aim of computer-aided diagnosis, taking a unique approach by presenting case studies encountered in the authors’ research...
N.-Y.: Wiley, 2013. - 481p.
Монография посвящена методам обработки сигналов, связанных с функционированием мозга для исследовательских и диагностических целей, а также для создания интерфейса "Мозг-Компьютер". Включает разделы: сигналы мозга, их генерация, регистрация и свойства; принципы обработки сигналов ЭЭГ; моделирование ЭЭГ; преобразование сигналов и частотно-временной...
New York: John Wiley & Sons, Ltd, 2022. — 751 p. Explore cutting edge techniques at the forefront of electroencephalogram research and artificial intelligence from leading voices in the field The newly revised Second Edition of EEG Signal Processing and Machine Learning delivers an inclusive and thorough exploration of new techniques and outcomes in electroencephalogram (EEG)...
Wiley, 2020. — 399 p. — ISBN: 978-1-119-39001-5. A complete guide to the state of the art theoretical and manufacturing developments of body sensor network, design, and algorithms In Body Sensor Networking, Design, and Algorithms, professionals in the field of Biomedical Engineering and e-health get an in-depth look at advancements, changes, and developments. When it comes to...
Wiley, 2020. — 412 p. — ISBN: 9781119390022. A complete guide to the state of the art theoretical and manufacturing developments of body sensor network, design, and algorithm s In Body Sensor Networking, Design, and Algorithms , professionals in the field of Biomedical Engineering and e-health get an in-depth look at advancements, changes, and developments. When it comes to...
John Wiley & Sons, 2007. — 312 p. — ISBN 978-0-470-02581-9. Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and they have great potential for the diagnosis and treatment of mental and brain diseases and abnormalities. With appropriate interpretation methods they are emerging as a key methodology to satisfy the increasing global...
River Publishers, 2022. — 199 p. As the requirements for low power consumption and very small physical dimensions in portable, wearable and implantable medical devices are calling for integrated circuit design techniques using MOSFETs operating in the subthreshold regime, this book first revisits some well-known circuit techniques that use CMOS devices biased in subthreshold in...
ITexLi, 2019. — 113 p. — ISBN 1789842581 9781789842586 1789842573 9781789842579. The chapters in this volume form a timely introduction to biofeedback research. The six authors describe how objective electrophysiological data provides useful data for assessment and therapy for physical therapists, psychologists and other healthcare professionals and their clients. The chapter...
CRC Press, 2018. — 624 p. — ISBN: 1498773451. This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis. It will describe signal processing, machine learning, and parallel computing strategies to revolutionize the world of medical analytics and...
N.-Y.: Springer, 2008. - 247p.
Neural activity in the human brain generates coherent synaptic and intracellular currents in cortical columns that create electromagnetic signals which can be measured outside the head using magnetoencephalography (MEG) and electroencephalography (EEG). Electromagnetic brain imaging refers to techniques that reconstruct neural activity from MEG...
3rd Ed. — Boca Raton: CRC Press, 2014. — 616 p. Written specifically for biomedical engineers, Biosignal and Medical Image Processing, 3rd Edition provides a complete set of signal and image processing tools, including diagnostic decision-making tools, and classification methods. Thoroughly revised and updated, it supplies important new material on nonlinear methods for...
Cambridge: MIT Press, 2010. - 428p.
Biomedical signal analysis has become one of the most important visualization and interpretation methods in biology and medicine. Many new and powerful instruments for detecting, storing, transmitting, analyzing, and displaying images have been developed in recent years, allowing scientists and physicians to obtain quantitative measurements...
Artech house, 2009. - 440 p. ISBN-13: 978-1-59693-204-3 Artech House Series Engineering in Medicine & Biology This authoritative volume provides an overview of basic and advanced techniques used in quantitative EEG (qEEG) analysis. The book provides a wide range of mathematical tools used in qEEG, from single channel discriptors to the interactions among multi-channel EEG...
Artech House Publishers, 2009. — 421 р. — ISBN-13: 978-1-59693-204-3. Quantitative EEG (electroencephalography) is a cutting-edge technique used for topographic display and analysis of brain electrophysiological data. The use of quantitative EEG for diagnosing various psychiatric disorders is beginning to gain wide acceptance among professionals and researchers working in this...
Academic Press, 2014. — 1070 p. Editors: Trussell J., Srivastava A., Roy-Chowdhury A.K., Srivastava A., Naylor P.A., Chellappa R., Theodoridis S. Let us flash back to the 1970s when the editors-in-chief of this e-reference were graduate students. One of the time-honored traditions then was to visit the libraries several times a week to keep track of the latest research...
The Institution of Engineering and Technology, Healthcare Technologies, 2019. — 297 p. Electroencephalography (EEG) is an electrophysiological monitoring method used to record the brain activity in brain-computer interface (BCI) systems. It records the electrical activity of the brain, is typically non-invasive with electrodes placed along the scalp, requires relatively simple...
Society of Photo Optical, 1999. — 423 p. Since its inception in 1971, MRI has developed into a premier tool for anatomical and functional imaging. This textbook provides a clear and comprehensive treatment of MR image formation principles from a signal processing perspective.Coverage Mathematical fundamentals; signal generation and detection principles; signal characteristics;...
ITexLi, 2021. — 101 p. — ISBN 1-83968-445-3 978-1-83968-445-6 1-83968-446-1 978-1-83968-446-3. This book examines the principles and applications of biomedical imaging and signals processing as well as the advances of multimodal imaging and multi-feature quantification for disease diagnosis and treatments in ophthalmology, stroke, chemotherapy, and neurology. Chapters cover...
Учебное пособие. СПбГУАП. СПб., 2001. —140 c.: ил. ISBN 5-8088-0065-X
Рассмотрены методы съема и обработки биоэлектрических сигналов – электрокардиограмм,
электроэнцефалограмм, электромиограмм. Проанализированы основные подходы к построению регистрирующей части приборов электрофизиологической диагностики. Приведено описание методов измерения диагностических параметров....
М.: Физматлит, 2013. — 271 с. Настоящая монография посвящена теоретическим и прикладным аспектам вейвлетного анализа. В книге подробно рассмотрены вопросы практического применения теории вейвлетов и представлен обзор фундаментальных работ, проведенных в области нейродинамики и нейрофизиологии в течение последнего десятилетия. Вводная теоретическая часть монографии использует...
Федотов А.А., Акулов С.А. Методы и средства клинического мониторинга. Учебное пособие. Самара: Издательство Самарского государственного аэрокосмического университета, 2014. — 236 с. В учебном пособии рассматриваются структурное построение и основные особенности функционирования современных систем клинического мониторинга состояния организма человека. Основное внимание уделено...
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