Brain Source Localization Using Eeg Signal Analysis

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Brain Source Localization Using EEG Signal Analysis

Author : Munsif Ali Jatoi
Publisher : CRC Press
ISBN 13 : 135164338X
Total Pages : 300 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Brain Source Localization Using EEG Signal Analysis by : Munsif Ali Jatoi

Download or read book Brain Source Localization Using EEG Signal Analysis written by Munsif Ali Jatoi and published by CRC Press. This book was released on 2017-12-14 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 and practitioners often turn to a process known as brain source localization, which assists in determining the source of electromagnetic signals from the brain. Aiming to promote both treatments and understanding of brain ailments, ranging from epilepsy and depression to schizophrenia and Parkinson’s disease, the authors of this book provide a comprehensive account of current developments in the use of neuroimaging techniques for brain analysis. Their book addresses a wide array of topics, including EEG forward and inverse problems, the application of classical MNE, LORETA, Bayesian based MSP, and its modified version, M-MSP. Within the ten chapters that comprise this book, clinicians, researchers, and field experts concerned with the state of brain source localization will find a store of information that can assist them in the quest to enhance the quality of life for people living with brain disorders.

EEG Signal Processing

Author : Saeid Sanei
Publisher : John Wiley & Sons
ISBN 13 : 1118691237
Total Pages : 312 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis EEG Signal Processing by : Saeid Sanei

Download or read book EEG Signal Processing written by Saeid Sanei and published by John Wiley & Sons. This book was released on 2013-05-28 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 demand for more affordable and effective clinical and healthcare services. Developing and understanding advanced signal processing techniques for the analysis of EEG signals is crucial in the area of biomedical research. This book focuses on these techniques, providing expansive coverage of algorithms and tools from the field of digital signal processing. It discusses their applications to medical data, using graphs and topographic images to show simulation results that assess the efficacy of the methods. Additionally, expect to find: explanations of the significance of EEG signal analysis and processing (with examples) and a useful theoretical and mathematical background for the analysis and processing of EEG signals; an exploration of normal and abnormal EEGs, neurological symptoms and diagnostic information, and representations of the EEGs; reviews of theoretical approaches in EEG modelling, such as restoration, enhancement, segmentation, and the removal of different internal and external artefacts from the EEG and ERP (event-related potential) signals; coverage of major abnormalities such as seizure, and mental illnesses such as dementia, schizophrenia, and Alzheimer’s disease, together with their mathematical interpretations from the EEG and ERP signals and sleep phenomenon; descriptions of nonlinear and adaptive digital signal processing techniques for abnormality detection, source localization and brain-computer interfacing using multi-channel EEG data with emphasis on non-invasive techniques, together with future topics for research in the area of EEG signal processing. The information within EEG Signal Processing has the potential to enhance the clinically-related information within EEG signals, thereby aiding physicians and ultimately providing more cost effective, efficient diagnostic tools. It will be beneficial to psychiatrists, neurophysiologists, engineers, and students or researchers in neurosciences. Undergraduate and postgraduate biomedical engineering students and postgraduate epileptology students will also find it a helpful reference.

Brain Source Localization Using EEG Signal Analysis

Author : Munsif Ali Jatoi
Publisher : CRC Press
ISBN 13 : 1498799353
Total Pages : 224 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Brain Source Localization Using EEG Signal Analysis by : Munsif Ali Jatoi

Download or read book Brain Source Localization Using EEG Signal Analysis written by Munsif Ali Jatoi and published by CRC Press. This book was released on 2017-12-14 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 and practitioners often turn to a process known as brain source localization, which assists in determining the source of electromagnetic signals from the brain. Aiming to promote both treatments and understanding of brain ailments, ranging from epilepsy and depression to schizophrenia and Parkinson’s disease, the authors of this book provide a comprehensive account of current developments in the use of neuroimaging techniques for brain analysis. Their book addresses a wide array of topics, including EEG forward and inverse problems, the application of classical MNE, LORETA, Bayesian based MSP, and its modified version, M-MSP. Within the ten chapters that comprise this book, clinicians, researchers, and field experts concerned with the state of brain source localization will find a store of information that can assist them in the quest to enhance the quality of life for people living with brain disorders.

Niedermeyer's Electroencephalography

Author : Donald L. Schomer
Publisher : Lippincott Williams & Wilkins
ISBN 13 : 1451153155
Total Pages : 1308 pages
Book Rating : 4.4/5 (511 download)

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Book Synopsis Niedermeyer's Electroencephalography by : Donald L. Schomer

Download or read book Niedermeyer's Electroencephalography written by Donald L. Schomer and published by Lippincott Williams & Wilkins. This book was released on 2012-10-18 with total page 1308 pages. Available in PDF, EPUB and Kindle. Book excerpt: The leading reference on electroencephalography since 1982, Niedermeyer's Electroencephalography is now in its thoroughly updated Sixth Edition. An international group of experts provides comprehensive coverage of the neurophysiologic and technical aspects of EEG, evoked potentials, and magnetoencephalography, as well as the clinical applications of these studies in neonates, infants, children, adults, and older adults. This edition's new lead editor, Donald Schomer, MD, has updated the technical information and added a major new chapter on artifacts. Other highlights include complete coverage of EEG in the intensive care unit and new chapters on integrating other recording devices with EEG; transcranial electrical and magnetic stimulation; EEG/TMS in evaluation of cognitive and mood disorders; and sleep in premature infants, children and adolescents, and the elderly. A companion website includes fully searchable text and image bank.

EEG Signal Processing and Machine Learning

Author : Saeid Sanei
Publisher : John Wiley & Sons
ISBN 13 : 1119386934
Total Pages : 756 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis EEG Signal Processing and Machine Learning by : Saeid Sanei

Download or read book EEG Signal Processing and Machine Learning written by Saeid Sanei and published by John Wiley & Sons. This book was released on 2021-09-23 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt: EEG Signal Processing and Machine Learning 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) research in the areas of analysis, processing, and decision making about a variety of brain states, abnormalities, and disorders using advanced signal processing and machine learning techniques. The book content is substantially increased upon that of the first edition and, while it retains what made the first edition so popular, is composed of more than 50% new material. The distinguished authors have included new material on tensors for EEG analysis and sensor fusion, as well as new chapters on mental fatigue, sleep, seizure, neurodevelopmental diseases, BCI, and psychiatric abnormalities. In addition to including a comprehensive chapter on machine learning, machine learning applications have been added to almost all the chapters. Moreover, multimodal brain screening, such as EEG-fMRI, and brain connectivity have been included as two new chapters in this new edition. Readers will also benefit from the inclusion of: A thorough introduction to EEGs, including neural activities, action potentials, EEG generation, brain rhythms, and EEG recording and measurement An exploration of brain waves, including their generation, recording, and instrumentation, abnormal EEG patterns and the effects of ageing and mental disorders A treatment of mathematical models for normal and abnormal EEGs Discussions of the fundamentals of EEG signal processing, including statistical properties, linear and nonlinear systems, frequency domain approaches, tensor factorization, diffusion adaptive filtering, deep neural networks, and complex-valued signal processing Perfect for biomedical engineers, neuroscientists, neurophysiologists, psychiatrists, engineers, students and researchers in the above areas, the Second Edition of EEG Signal Processing and Machine Learning will also earn a place in the libraries of undergraduate and postgraduate students studying Biomedical Engineering, Neuroscience and Epileptology.

Magnetoencephalography

Author : Selma Supek
Publisher : Springer
ISBN 13 : 3642330452
Total Pages : 1013 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Magnetoencephalography by : Selma Supek

Download or read book Magnetoencephalography written by Selma Supek and published by Springer. This book was released on 2014-08-07 with total page 1013 pages. Available in PDF, EPUB and Kindle. Book excerpt: Magnetoencephalography (MEG) is an invaluable functional brain imaging technique that provides direct, real-time monitoring of neuronal activity necessary for gaining insight into dynamic cortical networks. Our intentions with this book are to cover the richness and transdisciplinary nature of the MEG field, make it more accessible to newcomers and experienced researchers and to stimulate growth in the MEG area. The book presents a comprehensive overview of MEG basics and the latest developments in methodological, empirical and clinical research, directed toward master and doctoral students, as well as researchers. There are three levels of contributions: 1) tutorials on instrumentation, measurements, modeling, and experimental design; 2) topical reviews providing extensive coverage of relevant research topics; and 3) short contributions on open, challenging issues, future developments and novel applications. The topics range from neuromagnetic measurements, signal processing and source localization techniques to dynamic functional networks underlying perception and cognition in both health and disease. Topical reviews cover, among others: development on SQUID-based and novel sensors, multi-modal integration (low field MRI and MEG; EEG and fMRI), Bayesian approaches to multi-modal integration, direct neuronal imaging, novel noise reduction methods, source-space functional analysis, decoding of brain states, dynamic brain connectivity, sensory-motor integration, MEG studies on perception and cognition, thalamocortical oscillations, fetal and neonatal MEG, pediatric MEG studies, cognitive development, clinical applications of MEG in epilepsy, pre-surgical mapping, stroke, schizophrenia, stuttering, traumatic brain injury, post-traumatic stress disorder, depression, autism, aging and neurodegeneration, MEG applications in cognitive neuropharmacology and an overview of the major open-source analysis tools.

Analyzing Neural Time Series Data

Author : Mike X Cohen
Publisher : MIT Press
ISBN 13 : 0262019876
Total Pages : 615 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Analyzing Neural Time Series Data by : Mike X Cohen

Download or read book Analyzing Neural Time Series Data written by Mike X Cohen and published by MIT Press. This book was released on 2014-01-17 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists. Readers who go through the book chapter by chapter and implement the examples in Matlab will develop an understanding of why and how analyses are performed, how to interpret results, what the methodological issues are, and how to perform single-subject-level and group-level analyses. Researchers who are familiar with using automated programs to perform advanced analyses will learn what happens when they click the “analyze now” button. The book provides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysis topic, and these topics progress from simple to advanced. Most chapters conclude with exercises that further develop the material covered in the chapter. Many of the methods presented (including convolution, the Fourier transform, and Euler's formula) are fundamental and form the groundwork for other advanced data analysis methods. Readers who master the methods in the book will be well prepared to learn other approaches.

EEG/ERP Analysis

Author : Kamel Nidal
Publisher : CRC Press
ISBN 13 : 1482224712
Total Pages : 328 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis EEG/ERP Analysis by : Kamel Nidal

Download or read book EEG/ERP Analysis written by Kamel Nidal and published by CRC Press. This book was released on 2014-10-23 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Changes in the neurological functions of the human brain are often a precursor to numerous degenerative diseases. Advanced EEG systems and other monitoring systems used in preventive diagnostic procedures incorporate innovative features for brain monitoring functions such as real-time automated signal processing techniques and sophisticated amplifi

EEG/ERP Analysis

Author : Kamel Nidal
Publisher : CRC Press
ISBN 13 : 1482224690
Total Pages : 338 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis EEG/ERP Analysis by : Kamel Nidal

Download or read book EEG/ERP Analysis written by Kamel Nidal and published by CRC Press. This book was released on 2014-10-23 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Changes in the neurological functions of the human brain are often a precursor to numerous degenerative diseases. Advanced EEG systems and other monitoring systems used in preventive diagnostic procedures incorporate innovative features for brain monitoring functions such as real-time automated signal processing techniques and sophisticated amplifiers. Highlighting the US, Europe, Australia, New Zealand, Japan, Korea, China, and many other areas, EEG/ERP Analysis: Methods and Applications examines how researchers from various disciplines have started to work in the field of brain science, and explains the different techniques used for processing EEG/ERP data. Engineers can learn more about the clinical applications, while clinicians and biomedical scientists can familiarize themselves with the technical aspects and theoretical approaches. This book explores the recent advances involved in EEG/ERP analysis for brain monitoring, details successful EEG and ERP applications, and presents the neurological aspects in a simplified way so that those with an engineering background can better design clinical instruments. It consists of 13 chapters and includes the advanced techniques used for signal enhancement, source localization, data fusion, classification, and quantitative EEG. In addition, some of the chapters are contributed by neurologists and neurosurgeons providing the clinical aspects of EEG/ERP analysis. Covers a wide range of EEG/ERP applications with state-of-the-art techniques for denoising, analysis, and classification Examines new applications related to 3D display devices Includes MATLAB® codes EEG/ERP Analysis: Methods and Applications is a resource for biomedical and neuroscience scientists who are working on neural signal processing and interpretation, and biomedical engineers who are working on EEG/ERP signal analysis methods and developing clinical instrumentation. It can also assist neurosurgeons, psychiatrists, and postgraduate students doing research in neural engineering, as well as electronic engineers in neural signal processing and instrumentation.

An Integrative Guide to Consumer Neuroscience

Author : Sven Braeutigam
Publisher : Oxford University Press
ISBN 13 : 019250729X
Total Pages : 304 pages
Book Rating : 4.1/5 (925 download)

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Book Synopsis An Integrative Guide to Consumer Neuroscience by : Sven Braeutigam

Download or read book An Integrative Guide to Consumer Neuroscience written by Sven Braeutigam and published by Oxford University Press. This book was released on 2022-03-16 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Consumer neuroscience is a complex, interdisciplinary, and emerging field that cuts across psychology, neuroscience, and consumer research. The book provides a comprehensive overview of the foundations and applications of modern consumer neuroscience, exploring a wide range of established and emergent topics in the field, making it the ideal resource for anyone looking to broaden their knowledge base. The content provides a thorough, high-level guide to the mathematical, technological, and theoretical aspects of consumer neuroscience, alongside a wide range of specific applications situated within a scientific context. The book includes chapters on cognitive processes and behaviors, the human brain, mathematical concepts, and neuroscience technologies. It considers the difference of individual, social and commercial neuroscience through the lens of gender differences, aging and ethics, amongst other concepts, enabling the reader to adopt an holistic view of the field and discover new research directions. This is enhanced by the inclusion of consolidating questions and answers for each chapter alongside numerous images to enhance the reader's understanding of the topic. The book is an essential read for the aspiring researcher or practitioner striving for an in-depth understanding of the field and its ramifications.

Electrical Neuroimaging

Author : Christoph M. Michel
Publisher : Cambridge University Press
ISBN 13 : 1139480901
Total Pages : pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Electrical Neuroimaging by : Christoph M. Michel

Download or read book Electrical Neuroimaging written by Christoph M. Michel and published by Cambridge University Press. This book was released on 2009-07-23 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Electrical neuroimaging is based on the analysis of brain electrical activity recorded from the human scalp with multichannel EEG. It offers enormous potential for the dynamic mapping of brain functions, and for the non-invasive diagnosis of neurological and psychiatric conditions. This authoritative reference gives a systematic overview of new electrical imaging methods, with a sound introduction to the basics of multichannel recording of EEG and event-related potential (ERP) data, as well as spatio-temporal analysis of the potential fields. The book enables researchers to measure valid data, select and apply appropriate analysis strategies, and avoid the most common mistakes when analyzing and interpreting EEG/ERP data. Importantly, it informs the research communities of the possibilities opened by these space-domain oriented approaches to the analysis of brain electrical activity, and of their potential to offer even more powerful diagnostic techniques when integrated with other clinically relevant data.

Brain Signal Analysis

Author : Todd C. Handy
Publisher : MIT Press
ISBN 13 : 0262013088
Total Pages : 271 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Brain Signal Analysis by : Todd C. Handy

Download or read book Brain Signal Analysis written by Todd C. Handy and published by MIT Press. This book was released on 2009 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent developments in the tools and techniques of data acquisition and analysis in cognitive electrophysiology.

Advanced Image Processing in Magnetic Resonance Imaging

Author : Luigi Landini
Publisher : CRC Press
ISBN 13 : 1420028669
Total Pages : 632 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Advanced Image Processing in Magnetic Resonance Imaging by : Luigi Landini

Download or read book Advanced Image Processing in Magnetic Resonance Imaging written by Luigi Landini and published by CRC Press. This book was released on 2018-10-03 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: The popularity of magnetic resonance (MR) imaging in medicine is no mystery: it is non-invasive, it produces high quality structural and functional image data, and it is very versatile and flexible. Research into MR technology is advancing at a blistering pace, and modern engineers must keep up with the latest developments. This is only possible with a firm grounding in the basic principles of MR, and Advanced Image Processing in Magnetic Resonance Imaging solidly integrates this foundational knowledge with the latest advances in the field. Beginning with the basics of signal and image generation and reconstruction, the book covers in detail the signal processing techniques and algorithms, filtering techniques for MR images, quantitative analysis including image registration and integration of EEG and MEG techniques with MR, and MR spectroscopy techniques. The final section of the book explores functional MRI (fMRI) in detail, discussing fundamentals and advanced exploratory data analysis, Bayesian inference, and nonlinear analysis. Many of the results presented in the book are derived from the contributors' own work, imparting highly practical experience through experimental and numerical methods. Contributed by international experts at the forefront of the field, Advanced Image Processing in Magnetic Resonance Imaging is an indispensable guide for anyone interested in further advancing the technology and capabilities of MR imaging.

Knowledge-based Intelligent Information Engineering Systems & Allied Technologies

Author : Norio Baba
Publisher : IOS Press
ISBN 13 : 9781586031923
Total Pages : 860 pages
Book Rating : 4.0/5 (319 download)

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Book Synopsis Knowledge-based Intelligent Information Engineering Systems & Allied Technologies by : Norio Baba

Download or read book Knowledge-based Intelligent Information Engineering Systems & Allied Technologies written by Norio Baba and published by IOS Press. This book was released on 2001 with total page 860 pages. Available in PDF, EPUB and Kindle. Book excerpt: The annual Kes International Conference in Knowledge-based Intelligent Information Engineering Systems and Allied Technologies has become an event that is held in high regard by the intelligent systems community. The proceedings of the fifth conference represents a comprehensive survey of research on the theory and application of knowledge-based intelligent systems including topics such as: generic intelligent techniques - artificial neural networks, machine learning fuzzy and neuro-fuzzy techniques, and artificial life; applications of intelligent systems - condition monitoring, fault diagnosis, image processing, and high voltage systems; and allied technologies - communications, the Internet and web-based technologies, e-commerce, and computer pets. The proceedings should be of interest to those in the intelligent systems field, such as engineers, researchers and students.

Encyclopedia of Computational Neuroscience

Author : Dieter Jäger
Publisher : Springer
ISBN 13 : 9781071610046
Total Pages : 3663 pages
Book Rating : 4.6/5 (1 download)

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Book Synopsis Encyclopedia of Computational Neuroscience by : Dieter Jäger

Download or read book Encyclopedia of Computational Neuroscience written by Dieter Jäger and published by Springer. This book was released on 2022-04-26 with total page 3663 pages. Available in PDF, EPUB and Kindle. Book excerpt: The annual Computational Neuroscience Meeting (CNS) began in 1990 as a small workshop called Analysis and Modeling of Neural Systems. The goal of the workshop was to explore the boundary between neuroscience and computation. Riding on the success of several seminal papers, physicists had made "Neural Networks" fashionable, and soon the quantitative methods used in these abstract model networks started permeating the methods and ideas of experimental neuroscientists. Although experimental neurophysiological approaches provided many advances, it became increasingly evident that mathematical and computational techniques would be required to achieve a comprehensive and quantitative understanding of neural system function. “Computational Neuroscience” emerged to complement experimental neurophysiology. The Encyclopedia of Computational Neuroscience, published in conjunction with the Organization for Computational Neuroscience, will be an extensive reference work consultable by both researchers and graduate level students. It will be a dynamic, living reference, updatable and containing linkouts and multimedia content whenever relevant.

Electromagnetic Brain Imaging

Author : Kensuke Sekihara
Publisher : Springer
ISBN 13 : 3319149474
Total Pages : 270 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Electromagnetic Brain Imaging by : Kensuke Sekihara

Download or read book Electromagnetic Brain Imaging written by Kensuke Sekihara and published by Springer. This book was released on 2015-02-20 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms. It helps readers to more easily understand literature in biomedical engineering and related fields and be ready to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging. This textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging.

Signal Processing for Neuroscientists

Author : Wim van Drongelen
Publisher : Elsevier
ISBN 13 : 9780080467757
Total Pages : 320 pages
Book Rating : 4.4/5 (677 download)

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Book Synopsis Signal Processing for Neuroscientists by : Wim van Drongelen

Download or read book Signal Processing for Neuroscientists written by Wim van Drongelen and published by Elsevier. This book was released on 2006-12-18 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the ‘golden trio’ in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging from data acquisition to data processing; and from the mathematical background of the analysis to the practical application of processing algorithms. Overall, the approach to the mathematics is informal with a focus on basic understanding of the methods and their interrelationships rather than detailed proofs or derivations. One of the principle goals is to provide the reader with the background required to understand the principles of commercially available analyses software, and to allow him/her to construct his/her own analysis tools in an environment such as MATLAB®. Multiple color illustrations are integrated in the text Includes an introduction to biomedical signals, noise characteristics, and recording techniques Basics and background for more advanced topics can be found in extensive notes and appendices A Companion Website hosts the MATLAB scripts and several data files: http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670