Epileptic Seizures And The Eeg
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Epileptic Seizures And The Eeg
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Author : Andrea Varsavsky
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Epileptic Seizures And The Eeg written by Andrea Varsavsky and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Medical categories.
A study of epilepsy from an engineering perspective, this volume begins by summarizing the physiology and the fundamental ideas behind the measurement, analysis and modeling of the epileptic brain. It introduces the EEG and provides an explanation of the type of brain activity likely to register in EEG measurements, offering an overview of how these EEG records are and have been analyzed in the past. The book focuses on the problem of seizure detection and surveys the physiologically based dynamic models of brain activity. Finally, it addresses the fundamental question: can seizures be predicted? Based on the authors' extensive research, the book concludes by exploring a range of future possibilities in seizure prediction.
Epileptic Seizures And The Eeg
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Author : Andrea Varsavsky
language : en
Publisher: CRC Press
Release Date : 2010-12-21
Epileptic Seizures And The Eeg written by Andrea Varsavsky and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-21 with Medical categories.
Analysis of medical data using engineering tools is a rapidly growing area, both in research and in industry, yet few texts exist that address the problem from an interdisciplinary perspective. Epileptic Seizures and the EEG: Measurement, Models, Detection and Prediction brings together biology and engineering practices and identifies the aspects of the field that are most important to the analysis of epilepsy. Analysis of EEG records The book begins by summarizing the physiology and the fundamental ideas behind the measurement, analysis and modeling of the epileptic brain. It introduces the EEG as a measured signal and explains its use in the study of epilepsy. Next, it provides an explanation of the type of brain activity likely to register in EEG measurements, offering quantitative analysis of the populations of neurons that contribute to both scalp and cortical EEG and discussing the limitations and effects that choices made in the recording process have on the data. The book provides an overview of how these EEG records are and have been analyzed in the past, concentrating on the mathematics relevant to the problem of classification of EEG. The authors use these extracted features to differentiate between or classify inter-seizure, pre-seizure and seizure EEG. The challenge of seizure prediction The book focuses on the problem of seizure detection and surveys the physiologically based dynamic models of brain activity. Finally, the book addresses the fundamental question: can seizures be predicted? Through analysis of epileptic activity spanning from 3 hours to 25 years, it is proposed that seizures may be predictable, but the amount of data required is greater than previously thought. Based on the authors’ extensive research, the book concludes by exploring a range of future possibilities in seizure prediction.
Data Mining And Machine Learning Applications
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Author : Rohit Raja
language : en
Publisher: John Wiley & Sons
Release Date : 2022-03-02
Data Mining And Machine Learning Applications written by Rohit Raja and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-02 with Computers categories.
DATA MINING AND MACHINE LEARNING APPLICATIONS The book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines, thus facilitating research development and collaboration. Data, the latest currency of today’s world, is the new gold. In this new form of gold, the most beautiful jewels are data analytics and machine learning. Data mining and machine learning are considered interdisciplinary fields. Data mining is a subset of data analytics and machine learning involves the use of algorithms that automatically improve through experience based on data. Massive datasets can be classified and clustered to obtain accurate results. The most common technologies used include classification and clustering methods. Accuracy and error rates are calculated for regression and classification and clustering to find actual results through algorithms like support vector machines and neural networks with forward and backward propagation. Applications include fraud detection, image processing, medical diagnosis, weather prediction, e-commerce and so forth. The book features: A review of the state-of-the-art in data mining and machine learning, A review and description of the learning methods in human-computer interaction, Implementation strategies and future research directions used to meet the design and application requirements of several modern and real-time applications for a long time, The scope and implementation of a majority of data mining and machine learning strategies. A discussion of real-time problems. Audience Industry and academic researchers, scientists, and engineers in information technology, data science and machine and deep learning, as well as artificial intelligence more broadly.
Absolute Epilepsy And Eeg Rotation Review
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Author : Mona Sazgar
language : en
Publisher: Springer
Release Date : 2019-03-01
Absolute Epilepsy And Eeg Rotation Review written by Mona Sazgar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-01 with Medical categories.
This book contains the most essential information needed for an epilepsy/ EEG rotation. Chapters are formatted with bullet points and feature clinical pearls. Concise and easy-to-read, this quick reference provides neurology residents, clinical neurophysiology and epilepsy fellows, and other clinicians with the most critical information in epilepsy and EEG in a simplified, yet comprehensive format. Divided into two sections, the book first covers the diagnosis, characteristics, and treatment of epilepsy. The second section focuses on EEG placement, procedures, and patterns in various neurological disorders.
How To Read An Eeg
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Author : Neville M. Jadeja
language : en
Publisher: Cambridge University Press
Release Date : 2021-07-15
How To Read An Eeg written by Neville M. Jadeja and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-15 with Medical categories.
Demystifying the interpretation of EEGs in a clear, concise, and stepwise pocket guide with examples for many common clinical scenarios.
Introduction To Epilepsy
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Author : Gonzalo Alarcón
language : en
Publisher: Cambridge University Press
Release Date : 2012-04-26
Introduction To Epilepsy written by Gonzalo Alarcón and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-26 with Medical categories.
Covers all aspects of epilepsy, from basic mechanisms to diagnosis and management, as well as legal and social considerations.
Eeg Brain Signal Classification For Epileptic Seizure Disorder Detection
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Author : Sandeep Kumar Satapathy
language : en
Publisher: Academic Press
Release Date : 2019-02-10
Eeg Brain Signal Classification For Epileptic Seizure Disorder Detection written by Sandeep Kumar Satapathy and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-10 with Science categories.
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
Atlas Of Eeg Seizure Semiology
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Author : Bassel Abou-Khalil
language : en
Publisher: Butterworth-Heinemann
Release Date : 2006
Atlas Of Eeg Seizure Semiology written by Bassel Abou-Khalil and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Medical categories.
Covering basic classifications and definitions of seizures and epilepsy, EEG technology and clinical EEG, this DVD disk proceeds to the content of EEG traces and video samples. The companion text provides black and white images of records and line drawings. It also contains introductory information on routine EEG and video monitoring.
Eeg Signal Analysis And Classification
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Author : Siuly Siuly
language : en
Publisher: Springer
Release Date : 2017-01-03
Eeg Signal Analysis And Classification written by Siuly Siuly and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-03 with Technology & Engineering categories.
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
Continuous Eeg Monitoring
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Author : Aatif M. Husain
language : en
Publisher: Springer
Release Date : 2017-01-04
Continuous Eeg Monitoring written by Aatif M. Husain and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-04 with Medical categories.
This book is designed to meet the need for a practically oriented textbook on the rapidly growing field of continuous EEG (cEEG) monitoring. A wide range of key clinical aspects are addressed, with explanation of status epilepticus classification, criteria for institution of monitoring, seizure patterns and their recognition, quantitative EEG analysis, and neuroimaging in patients undergoing cEEG monitoring. The value of cEEG and the nature of cEEG findings in various special situations are then reviewed, covering particular pathologies, critical care considerations, and prognostication. Treatments of nonconvulsive status epilepticus (NCSE) and nonconvulsive seizures (NCS) are discussed. The concluding section is devoted to important administrative issues including billing, staffing issues, comparison of EEG machines, and information technology (IT) issues.Continuous EEG monitoring offers the only reliable means of detecting seizures that are not clinically obvious in critically ill patients. Such seizures are common: approximately 20% of patients undergoing cEEG monitoring in hospital have NCSE or NCS. Against this background, many hospitals have started to offer cEEG monitoring as a basis for delivery of appropriate treatment. By presenting the state of the art in cEEG monitoring, this book will be invaluable to practitioners including neurophysiologists, neurologists, neurointensivists, intensivists, neurophysiology and epilepsy fellows, and neurology residents.