Advanced Signal Processing On Brain Event Related Potentials

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Advanced Signal Processing on Brain Event-Related Potentials

Author : Fengyu Cong,Tapani Ristaniemi,Heikki Lyytinen
Publisher : World Scientific
Page : 224 pages
File Size : 47,8 Mb
Release : 2015-04-08
Category : Technology & Engineering
ISBN : 9789814623100

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Advanced Signal Processing on Brain Event-Related Potentials by Fengyu Cong,Tapani Ristaniemi,Heikki Lyytinen Pdf

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 ordinarily averaged EEG. We find that randomly fluctuating activities and artifacts can still present in the averaged EEG data, and that constant brain activities over single trials can overlap with each other in time, frequency and spatial domains. Therefore, before interpretation, it will be beneficial to further separate the averaged EEG into individual brain activities. The book proposes systematic approaches pre-process wavelet transform (WT), independent component analysis (ICA), and nonnegative tensor factorization (NTF) to filter averaged EEG in time, frequency and space domains to sequentially and simultaneously obtain the pure ERP of interest. Software of the proposed approaches will be open-accessed. Contents:IntroductionWavelet Filter Design Based on Frequency Responses for Filtering ERP Data With Duration of One EpochIndividual-Level ICA to Extract the ERP Components from the Averaged EEG DataMulti-Domain Feature of the ERP Extracted by NTF: New Approach for Group-Level Analysis of ERPsAnalysis of Ongoing EEG by NTF During Real-World Music ExperiencesAppendix: Introduction to Basic Knowledge of Mismatch Negativity Readership: Undergraduate, graduate, researchers and professionals in the field of neurology/neuroscience, medical imaging, psychology, biomedical engineering and computer science. Key Features:Advanced signal processing approaches can be applied on averaged EEG to extract ERPs' componentsFiltering ERPs in time, frequency and space domains sequentially and simultaneouslyDemo of ERP data and MATLAB codes are open-access for the advanced signal processing approaches on ERPsKeywords:Event-Related Potentials (ERPs);Digital Filter;Wavelet Filter;Independent Component Analysis;Tensor Decomposition;Nonnegative Tensor Factorization;Time-Frequency Representation

EEG Signal Processing

Author : Saeid Sanei,Jonathon A. Chambers
Publisher : John Wiley & Sons
Page : 312 pages
File Size : 48,8 Mb
Release : 2013-05-28
Category : Science
ISBN : 9781118691236

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EEG Signal Processing by Saeid Sanei,Jonathon A. Chambers Pdf

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.

Event-related Potentials

Author : Todd C. Handy
Publisher : MIT Press
Page : 430 pages
File Size : 48,5 Mb
Release : 2005
Category : Evoked potentials (Electrophysiology)
ISBN : 0262083337

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Event-related Potentials by Todd C. Handy Pdf

The first comprehensive handbook to detail ERP methodology, covering experimental design, data analysis, and special applications.

An Introduction to the Event-Related Potential Technique, second edition

Author : Steven J. Luck
Publisher : MIT Press
Page : 417 pages
File Size : 46,8 Mb
Release : 2014-05-30
Category : Science
ISBN : 9780262525855

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An Introduction to the Event-Related Potential Technique, second edition by Steven J. Luck Pdf

An essential guide to designing, conducting, and analyzing event-related potential (ERP) experiments, completely updated for this edition. The event-related potential (ERP) technique, in which neural responses to specific events are extracted from the EEG, provides a powerful noninvasive tool for exploring the human brain. This volume describes practical methods for ERP research along with the underlying theoretical rationale. It offers researchers and students an essential guide to designing, conducting, and analyzing ERP experiments. This second edition has been completely updated, with additional material, new chapters, and more accessible explanations. Freely available supplementary material, including several online-only chapters, offer expanded or advanced treatment of selected topics. The first half of the book presents essential background information, describing the origins of ERPs, the nature of ERP components, and the design of ERP experiments. The second half of the book offers a detailed treatment of the main steps involved in conducting ERP experiments, covering such topics as recording the EEG, filtering the EEG and ERP waveforms, and quantifying amplitudes and latencies. Throughout, the emphasis is on rigorous experimental design and relatively simple analyses. New material in the second edition includes entire chapters devoted to components, artifacts, measuring amplitudes and latencies, and statistical analysis; updated coverage of recording technologies; concrete examples of experimental design; and many more figures. Online chapters cover such topics as overlap, localization, writing and reviewing ERP papers, and setting up and running an ERP lab.

Adaptive Processing of Brain Signals

Author : Saeid Sanei
Publisher : John Wiley & Sons
Page : 471 pages
File Size : 51,9 Mb
Release : 2013-05-28
Category : Technology & Engineering
ISBN : 9781118622148

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Adaptive Processing of Brain Signals by Saeid Sanei Pdf

In this book, the field of adaptive learning and processing is extended to arguably one of its most important contexts which is the understanding and analysis of brain signals. No attempt is made to comment on physiological aspects of brain activity; instead, signal processing methods are developed and used to assist clinical findings. Recent developments in detection, estimation and separation of diagnostic cues from different modality neuroimaging systems are discussed. These include constrained nonlinear signal processing techniques which incorporate sparsity, nonstationarity, multimodal data, and multiway techniques. Key features: Covers advanced and adaptive signal processing techniques for the processing of electroencephalography (EEG) and magneto-encephalography (MEG) signals, and their correlation to the corresponding functional magnetic resonance imaging (fMRI) Provides advanced tools for the detection, monitoring, separation, localising and understanding of functional, anatomical, and physiological abnormalities of the brain Puts a major emphasis on brain dynamics and how this can be evaluated for the assessment of brain activity in various states such as for brain-computer interfacing emotions and mental fatigue analysis Focuses on multimodal and multiway adaptive processing of brain signals, the new direction of brain signal research

Brain Signal Analysis

Author : Todd C. Handy
Publisher : MIT Press
Page : 271 pages
File Size : 55,5 Mb
Release : 2009
Category : Cognitive neuroscience
ISBN : 9780262013086

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Brain Signal Analysis by Todd C. Handy Pdf

Recent developments in the tools and techniques of data acquisition and analysis in cognitive electrophysiology.

Estimation of Cortical Connectivity in Humans

Author : Laura Astolfi,Fabio Babiloni
Publisher : Morgan & Claypool Publishers
Page : 109 pages
File Size : 48,5 Mb
Release : 2008
Category : Cerebral cortex
ISBN : 9781598295320

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Estimation of Cortical Connectivity in Humans by Laura Astolfi,Fabio Babiloni Pdf

In the last ten years many different brain imaging devices have conveyed a lot of information about the brain functioning in different experimental conditions. In every case, the biomedical engineers, together with mathematicians, physicists and physicians are called to elaborate the signals related to the brain activity in order to extract meaningful and robust information to correlate with the external behaviour of the subjects. In such attempt, different signal processing tools used in telecommunications and other field of engineering or even social sciences have been adapted and re-used in the neuroscience field. The present book would like to offer a short presentation of several methods for the estimation of the cortical connectivity of the human brain. The methods here presented are relatively simply to implement, robust and can return valuable information about the causality of the activation of the different cortical areas in humans using non invasive electroencephalographic recordings. The knowledge of such signal processing tools will enrich the arsenal of the computational methods that a engineer or a mathematician could apply in the processing of brain signals.

Quantitative EEG, Event-Related Potentials and Neurotherapy

Author : Juri D. Kropotov
Publisher : Academic Press
Page : 601 pages
File Size : 49,7 Mb
Release : 2010-07-28
Category : Medical
ISBN : 9780080922973

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Quantitative EEG, Event-Related Potentials and Neurotherapy by Juri D. Kropotov Pdf

While the brain is ruled to a large extent by chemical neurotransmitters, it is also a bioelectric organ. The collective study of Quantitative ElectroEncephaloGraphs (QEEG-the conversion of brainwaves to digital form to allow for comparison between neurologically normative and dysfunctional individuals), Event Related Potentials (ERPs - electrophysiological response to stimulus) and Neurotherapy (the process of actually retraining brain processes to) offers a window into brain physiology and function via computer and statistical analyses of traditional EEG patterns, suggesting innovative approaches to the improvement of attention, anxiety, mood and behavior.The volume provides detailed description of the various EEG rhythms and ERPs, the conventional analytic methods such as spectral analysis, and the emerging method utilizing QEEG and ERPs. This research is then related back to practice and all existing approaches in the field of Neurotherapy - conventional EEG-based neurofeedback, brain-computer interface, transcranial Direct Current Stimulation, and Transcranial Magnetic Stimulation - are covered in full. While it does not offer the breadth provided by an edited work, this volume does provide a level of depth and detail that a single author can deliver, as well as giving readers insight into the personl theories of one of the preeminent leaders in the field. Provide a holistic picture of quantitative EEG and event related potentials as a unified scientific field Present a unified description of the methods of quantitative EEG and event related potentials Give a scientifically based overview of existing approaches in the field of neurotherapy Provide practical information for the better understanding and treatment of disorders, such as ADHD, Schizophrenia, Addiction, OCD, Depression, and Alzheimer's Disease

EEG/ERP Analysis

Author : Kamel Nidal,Aamir Saeed Malik
Publisher : CRC Press
Page : 338 pages
File Size : 55,7 Mb
Release : 2014-10-23
Category : Medical
ISBN : 9781482224696

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EEG/ERP Analysis by Kamel Nidal,Aamir Saeed Malik Pdf

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.

Brain Source Localization Using EEG Signal Analysis

Author : Munsif Ali Jatoi,Nidal Kamel
Publisher : CRC Press
Page : 300 pages
File Size : 51,8 Mb
Release : 2017-12-14
Category : Science
ISBN : 9781351643382

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Brain Source Localization Using EEG Signal Analysis by Munsif Ali Jatoi,Nidal Kamel Pdf

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.

The Oxford Handbook of Event-Related Potential Components

Author : Steven J. Luck,Emily S. Kappenman
Publisher : OUP USA
Page : 665 pages
File Size : 54,6 Mb
Release : 2012-01-12
Category : Psychology
ISBN : 9780195374148

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The Oxford Handbook of Event-Related Potential Components by Steven J. Luck,Emily S. Kappenman Pdf

The Oxford Handbook of Event-Related Potential Components provides a detailed and comprehensive overview of the major ERP components. It covers components related to multiple research domains, including perception, cognition, emotion, neurological and psychiatric disorders, and lifespan development.

EEG Signal Processing and Feature Extraction

Author : Li Hu,Zhiguo Zhang
Publisher : Springer Nature
Page : 437 pages
File Size : 50,6 Mb
Release : 2019-10-12
Category : Medical
ISBN : 9789811391132

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EEG Signal Processing and Feature Extraction by Li Hu,Zhiguo Zhang Pdf

This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal processing in a comprehensive, simple, and easy-to-understand manner. EEG records the electrical activity generated by the firing of neurons within human brain at the scalp. They are widely used in clinical neuroscience, psychology, and neural engineering, and a series of EEG signal-processing techniques have been developed. Intended for cognitive neuroscientists, psychologists and other interested readers, the book discusses a range of current mainstream EEG signal-processing and feature-extraction techniques in depth, and includes chapters on the principles and implementation strategies.

Event-Related Potentials and Evoked Potentials

Author : Phakkharawat Sittiprapaporn
Publisher : BoD – Books on Demand
Page : 94 pages
File Size : 47,9 Mb
Release : 2017-11-29
Category : Science
ISBN : 9789535136392

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Event-Related Potentials and Evoked Potentials by Phakkharawat Sittiprapaporn Pdf

This edited volume Event-Related Potentials and Evoked Potentials is a collection of reviewed and relevant research chapters, offering a comprehensive overview of recent developments in the field of medicine and health sciences. The book comprises single chapters authored by various researchers and edited by an expert active in the field of event-related potential (ERP). An event-related potential (ERP) is the measured brain response that is the direct result of a specific sensory, cognitive, or motor event. Each chapter is complete in itself but united under a common research study topic. This publication aims at providing a thorough overview of the latest research efforts by international authors in noninvasive means of evaluating brain functioning and opens new possible research paths for further novel developments.

Detection of Change

Author : John Polich
Publisher : Springer Science & Business Media
Page : 193 pages
File Size : 53,7 Mb
Release : 2012-12-06
Category : Medical
ISBN : 9781461502944

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Detection of Change by John Polich Pdf

This volume presents the first systematic overview of how event-related brain potential (ERP), cognitive electroencephalography (EEG), and functional magnetic imaging (fMRI) measures reflect the mental events arising from changes in sensory stimulation. The contents are fresh, the literature distillations highly informative, and the range of topics extremely useful for cognitive neuroscientists, psychologists, and researchers.

Imaging Brain Function With EEG

Author : Walter Freeman,Rodrigo Quian Quiroga
Publisher : Springer Science & Business Media
Page : 266 pages
File Size : 44,8 Mb
Release : 2012-10-28
Category : Medical
ISBN : 9781461449843

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Imaging Brain Function With EEG by Walter Freeman,Rodrigo Quian Quiroga Pdf

The scalp and cortex lie like pages of an open book on which the cortex enciphers vast quantities of information and knowledge. They are recorded and analyzed as temporal and spatial patterns in the electroencephalogram and electrocorticogram. This book describes basic tools and concepts needed to measure and decipher the patterns extracted from the EEG and ECoG. This book emphasizes the need for single trial analysis using new methods and paradigms, as well as large, high-density spatial arrays of electrodes for pattern sampling. The deciphered patterns reveal neural mechanisms by which brains process sensory information into precepts and concepts. It describes the brain as a thermodynamic system that uses chemical energy to construct knowledge. The results are intended for use in the search for the neural correlates of intention, attention, perception and learning; in the design of human brain-computer interfaces enabling mental control of machines; and in exploring and explaining the physicochemical foundation of biological intelligence.