Download or read book Statistical Analysis of Brain Signals for Epileptology written by Andreas Graef and published by Sudwestdeutscher Verlag Fur Hochschulschriften AG. This book was released on 2014-02 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with the statistical analysis of brain signals of epilepsy patients. It uses methods from parametric and nonparametric spectral estimation, causality analysis, signal detection and factor analysis. The book deals with automated procedures for determining the seizure onset zone (SOZ) and the early seizure spread. As the visual inspection of brain signals during the presurgical evaluation of therapy-resistant patients is a time-demanding and highly subjective task, a complimentary computational approach is clinically desired. For this purpose four automated methods for epileptic seizure propagation analysis are proposed. They aim at the analysis of two different epileptiform patterns: The analysis of spatial and temporal dependencies in rhythmic theta-activity, which is commonly observed in focal epilepsy, and the detection of a novel class of highly specific SOZ-markers, high-frequency oscillations (HFOs). The book starts with chapters on the medical and statistical background, followed by a presentation of the methods for epileptic seizure propagation analysis. Finally a comparison of the results obtained with clinical findings is given.
Download or read book Statistical Methods in Epilepsy written by Sharon Chiang and published by CRC Press. This book was released on 2024-03-25 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Epilepsy research promises new treatments and insights into brain function, but statistics and machine learning are paramount for extracting meaning from data and enabling discovery. Statistical Methods in Epilepsy provides a comprehensive introduction to statistical methods used in epilepsy research. Written in a clear, accessible style by leading authorities, this textbook demystifies introductory and advanced statistical methods, providing a practical roadmap that will be invaluable for learners and experts alike. Topics include a primer on version control and coding, pre-processing of imaging and electrophysiological data, hypothesis testing, generalized linear models, survival analysis, network analysis, time-series analysis, spectral analysis, spatial statistics, unsupervised and supervised learning, natural language processing, prospective trial design, pharmacokinetic and pharmacodynamic modeling, and randomized clinical trials. Features: Provides a comprehensive introduction to statistical methods employed in epilepsy research Divided into four parts: Basic Processing Methods for Data Analysis; Statistical Models for Epilepsy Data Types; Machine Learning Methods; and Clinical Studies Covers methodological and practical aspects, as well as worked-out examples with R and Python code provided in the online supplement Includes contributions by experts in the field The handbook targets clinicians, graduate students, medical students, and researchers who seek to conduct quantitative epilepsy research. The topics covered extend broadly to quantitative research in other neurological specialties and provide a valuable reference for the field of neurology.
Download or read book EEG Signal Analysis and Classification written by Siuly Siuly and published by Springer. This book was released on 2017-01-03 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems. The proposed methods enable the extraction of this vital information from EEG signals in order to accurately detect abnormalities revealed by the EEG. New methods will relieve the time-consuming and error-prone practices that are currently in use. Common signal processing methodologies include wavelet transformation and Fourier transformation, but these methods are not capable of managing the size of EEG data. Addressing the issue, this book examines new EEG signal analysis approaches with a combination of statistical techniques (e.g. random sampling, optimum allocation) and machine learning methods. The developed methods provide better results than the existing methods. The book also offers applications of the developed methodologies that have been tested on several real-time benchmark databases. This book concludes with thoughts on the future of the field and anticipated research challenges. It gives new direction to the field of analysis and classification of EEG signals through these more efficient methodologies. Researchers and experts will benefit from its suggested improvements to the current computer-aided based diagnostic systems for the precise analysis and management of EEG signals. /div
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.
Download or read book EEG Brain Signal Classification for Epileptic Seizure Disorder Detection written by Sandeep Kumar Satapathy and published by Academic Press. This book was released on 2019-02-10 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: EEG Brain Signal Classification for Epileptic Seizure Disorder Detection provides the knowledge necessary to classify EEG brain signals to detect epileptic seizures using machine learning techniques. Chapters present an overview of machine learning techniques and the tools available, discuss previous studies, present empirical studies on the performance of the NN and SVM classifiers, discuss RBF neural networks trained with an improved PSO algorithm for epilepsy identification, and cover ABC algorithm optimized RBFNN for classification of EEG signal. Final chapter present future developments in the field. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need the most recent and promising automated techniques for EEG classification. - Explores machine learning techniques that have been modified and validated for the purpose of EEG signal classification using Discrete Wavelet Transform for the identification of epileptic seizures - Encompasses machine learning techniques, providing an easily understood resource for both non-specialized readers and biomedical researchers - Provides a number of experimental analyses, with their results discussed and appropriately validated
Download or read book The Analysis of Long term Physiological Signals Brain heart Interactions and Periodicities in Patients with Epilepsy written by Isaac Testa Hassan and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Background: Epilepsy is one of the most common neurological disorders in the world, affecting approximately 1% of the world's population. It can cause brain activity to become abnormal causing seizures. There are various medical risks associated with seizure onset, as well as a decrease in quality of life for patients diagnosed with epilepsy. However, when it comes to studying physiological signals in patients with epilepsy most of data used to study epileptic seizures are in the short-term surrounding the ictal period (the seizure itself). This assumes that the inter-ictal period is stable, which is at odds with the already established, long-term biological rhythms that are present in physiological signals. So, by studying long-term physiological signals in the context of epilepsy, a better sense of how the complex bodily rhythms present affect physiological signals at time of seizure onset.Objectives: The main objective this project involved the analysis of long-term analysis of physiological signals from subjects with epilepsy, as well as the determination of the periodic components on those signals and their correlation with seizure onset.Methods: This project was divided in two parts with different datasets used for each one. In Part I, an HRV signal was built from the detected R peaks of the ECG signals. The HRV was then fed into an MVAR model, and the power spectral density matrices were computed. The HF and LF components of the HRV were isolated and their periodicities were estimated. Circular statistics were then used to calculate the correlation of the periodic signal to seizure onset. In Part II, the mean intracranial EEG signal was computed, the five frequency bands were extracted, and their envelope is computed. Then the HRV and EEG-ENV were fed into the MVAR model, then power spectral density matrices and coherence were computed. The periodicities were estimated, and finally circular statistics was used to compute the correlation to seizure onset in group level and in a subject specific manner.Results: For Part I, the main periodic components seen in the HRV, HF and LF signals were at approximately four, twelve and twenty-four hours. Correlation with seizure onset were seen in the HF signal at the twelve-hour periodicity and in the LF signal at the twenty-four periodicity. For Part II, the time-varying coherence of the theta, alpha, and gamma bands with the HRV-LF were more coupled, however the delta and beta bands were the most distinct ones. The periodicities detected in the EEG envelopes were distributed in a more spread-out way than the HRV-LF. The time-varying coherence had less periodic components then the EEG-ENV and HRV-LF signals. Correlation with seizure onset had a wide assortment of variation across subjects and frequency bands. At a group level, the strongest correlations detected were for the circadian periodicities of the HRV-LF and the Gamma-ENV"--
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.
Download or read book Multivariate Statistical Analysis in Neuroscience written by Giovanni Cugliari and published by . This book was released on 2015-06-12 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Paper from the year 2015 in the subject Medicine - Other, grade: II Level Master, University of Pavia (Unit of Medical and Genomic Statistics), course: Medical and Genomic Statistics, language: English, abstract: Electroencephalography, commonly called 'EEG', estimates through the application of electrodes, the electrical activity of the brain (which is the sum of the electrical activity of each neuron). In recent years, with the goal of making more reliable the EEG, many researchers have turned their interest in the development of tools, methods and software. This thesis describes some best procedures for the experimental design, data visualization and descriptive or inferential statistical analysis. The application of statistical models to single or multiple subjects study-design are also described, including parametric and non-parametric approaches. Methods for processing multivariate data (PCA, ICA, clustering) were described. Re-sampling methods (bootstrap) using many randomly software-generated samples were also described. The aim of this work is to provide, with statistical concepts and examples, information on the qualitative and quantitative approaches related to the electroencephalographic signals. The work consists into three parts: INTRODUTION TO ELECTROENCEPHALOGRAPHY (GENERAL CHARACTERISTICS); DATA MINING AND STATISTICAL ANALYSIS; EXPERIMENTAL STUDY DESIGNS. The six works included in the section called "EXPERIMENTAL STUDY DESIGNS" analyze EEG alterations in the protocols: Electrocortical activity in dancers and non-dancers listening to different music genre and during imaginative dance motor activity; Electrocortical activity during monosynaptic reflex in athletes; Monitoring of electrocortical activity for evaluation of seasickness; Electrocortical activity in different body positions; Electrocortical activity in athletes and non-athletes during body balance tasks; Electrocortical responses in volunteers with and without specific experience w
Download or read book Cyberphysical Systems for Epilepsy and Related Brain Disorders written by Nikolaos S. Voros and published by Springer. This book was released on 2015-06-30 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces a new cyberphysical system that combines clinical and basic neuroscience research with advanced data analysis and medical management tools for developing novel applications for the management of epilepsy. The authors describe the algorithms and architectures needed to provide ambulatory, diagnostic and long-term monitoring services, through multi parametric data collection. Readers will see how to achieve in-hospital quality standards, addressing conventional “routine” clinic-based service purposes, at reduced cost, enhanced capability and increased geographical availability. The cyberphysical system described in this book is flexible, can be optimized for each patient and is demonstrated in several case studies.
Download or read book Practical Approach to Electroencephalography written by Mark H. Libenson and published by Elsevier Health Sciences. This book was released on 2009-12-04 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why consult encyclopedic references when you only need the essentials? Practical Approach to Electroencephalography, by Mark H. Libenson, MD, equips you with just the right amount of guidance you need for obtaining optimal EEG results! It presents a thorough but readable guide to EEGs, explaining what to do, what not to do, what to look for, and how to interpret the results. It also goes beyond the technical aspects of performing EEGs by providing case studies of the neurologic disorders and conditions in which EEGs are used, making this an excellent learning tool. Abundant EEG examples throughout help you to recognize normal and abnormal EEGs in all situations. - Presents enough detail and answers to questions and problems encountered by the beginner and the non-expert. - Uses abundant EEG examples to help you recognize normal and abnormal EEGs in all situations. - Provides expert pearls from Dr. Libenson that guide you in best practices in EEG testing. - Features a user-friendly writing style from a single author that makes learning easy. - Examines the performance of EEGs—along with the disorders for which they're performed—for a resource that considers the patient and not just the technical aspects of EEGs. - Includes discussions of various disease entities, like epilepsy, in which EEGs are used, as well as other special issues, to equip you to handle more cases.
Download or read book EEG fMRI written by Christoph Mulert and published by Springer Science & Business Media. This book was released on 2009-10-29 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Functional magnetic resonance imaging (fMRI) and Electronecephalography (EEG) are very important and complementary modalities since fMRI offers high spatial resolution and EEG is a direct measurement of neuronal activity with high temporal resolution. Interest in the integration of both types of data is growing rapidly as it promises to provide important new insights into human brain activity as it has already done so in the field of epilepsy. The availability of good quality instrumentation capable of providing interference-free data in both modalities means that electrophysiological and haemodynamic characteristics of individual brain events can be captured for the first time. Consequently, it seems certain that the integration of fMRI and EEG will play an increasing role in neuroscience and of the clinical study of brain disorders such as epilepsy. The proposed book will discuss in detail the physiological principles, practical aspects of measurement, artefact reduction and analysis and also applications of the integration of fMRI and EEG. All applications, which are mainly in the fields of sleep research, cognitive neuroscience and clinical use in neurology and psychiatry will be reviewed.
Download or read book The Epilepsies written by Chrysostomos P. Panayiotopoulos and published by Springer. This book was released on 2005 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives an exhaustive account of the classification and management of epileptic disorders. It provides clear didactic guidance on the diagnosis and treatment of epileptic syndromes and seizures through thirteen chapters, complemented by a pharmacopoeia and CD ROM of video-EEGs.
Download or read book EEG fMRI written by Christoph Mulert and published by Springer Nature. This book was released on 2023-01-01 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the most up-to-date and comprehensive source of information on all aspects of EEG-fMRI, a neuroimaging technique for synchronous acquisition of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) data. The reader will find in-depth information on the physiological principles of the EEG and fMRI signals, practical aspects of data measurement, artifact reduction, data analysis, and applications. All the main areas of the technique’s application are the subject of one or multiple chapters: sleep research, cognitive neuroscience, and clinical neurology and psychiatry. In addition to providing a thorough update, this second edition offers five entirely new chapters covering important areas of research that have emerged during the past 5 years, including noninvasive brain stimulation during fMRI, resting-state functional connectivity, real-time fMRI, and neurofeedback. Written by the most prestigious experts in the field, the text is enhanced by numerous high-quality illustrations. This book will be valuable for neuroradiologists, neuroscientists, physicists, engineers, electrophysiologists, (neuro) medical scientists, neurologists, and neurophysiologists. Chapter 30 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Download or read book Diseases of the Brain Head and Neck Spine 2020 2023 written by Juerg Hodler and published by Springer Nature. This book was released on 2020-02-14 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book offers an essential overview of brain, head and neck, and spine imaging. Over the last few years, there have been considerable advances in this area, driven by both clinical and technological developments. Written by leading international experts and teachers, the chapters are disease-oriented and cover all relevant imaging modalities, with a focus on magnetic resonance imaging and computed tomography. The book also includes a synopsis of pediatric imaging. IDKD books are rewritten (not merely updated) every four years, which means they offer a comprehensive review of the state-of-the-art in imaging. The book is clearly structured and features learning objectives, abstracts, subheadings, tables and take-home points, supported by design elements to help readers navigate the text. It will particularly appeal to general radiologists, radiology residents, and interventional radiologists who want to update their diagnostic expertise, as well as clinicians from other specialties who are interested in imaging for their patient care.
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.
Download or read book Foundations of Time Frequency Analysis written by Karlheinz Gröchenig and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time-frequency analysis is a modern branch of harmonic analysis. It com prises all those parts of mathematics and its applications that use the struc ture of translations and modulations (or time-frequency shifts) for the anal ysis of functions and operators. Time-frequency analysis is a form of local Fourier analysis that treats time and frequency simultaneously and sym metrically. My goal is a systematic exposition of the foundations of time-frequency analysis, whence the title of the book. The topics range from the elemen tary theory of the short-time Fourier transform and classical results about the Wigner distribution via the recent theory of Gabor frames to quantita tive methods in time-frequency analysis and the theory of pseudodifferential operators. This book is motivated by applications in signal analysis and quantum mechanics, but it is not about these applications. The main ori entation is toward the detailed mathematical investigation of the rich and elegant structures underlying time-frequency analysis. Time-frequency analysis originates in the early development of quantum mechanics by H. Weyl, E. Wigner, and J. von Neumann around 1930, and in the theoretical foundation of information theory and signal analysis by D.
Download or read book Statistical Methods in Epilepsy written by Sharon Chiang and published by CRC Press. This book was released on 2024-03-25 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Epilepsy research promises new treatments and insights into brain function, but statistics and machine learning are paramount for extracting meaning from data and enabling discovery. Statistical Methods in Epilepsy provides a comprehensive introduction to statistical methods used in epilepsy research. Written in a clear, accessible style by leading authorities, this textbook demystifies introductory and advanced statistical methods, providing a practical roadmap that will be invaluable for learners and experts alike. Topics include a primer on version control and coding, pre-processing of imaging and electrophysiological data, hypothesis testing, generalized linear models, survival analysis, network analysis, time-series analysis, spectral analysis, spatial statistics, unsupervised and supervised learning, natural language processing, prospective trial design, pharmacokinetic and pharmacodynamic modeling, and randomized clinical trials. Features: Provides a comprehensive introduction to statistical methods employed in epilepsy research Divided into four parts: Basic Processing Methods for Data Analysis; Statistical Models for Epilepsy Data Types; Machine Learning Methods; and Clinical Studies Covers methodological and practical aspects, as well as worked-out examples with R and Python code provided in the online supplement Includes contributions by experts in the field https://github.com/sharon-chiang/Statistics-Epilepsy-Book/ The handbook targets clinicians, graduate students, medical students, and researchers who seek to conduct quantitative epilepsy research. The topics covered extend broadly to quantitative research in other neurological specialties and provide a valuable reference for the field of neurology.
