Epileptic Seizures and the EEG
Measurement, Models, Detection and Prediction
Published on 19. April 2016
370 pages
978-1-4398-1204-4 (ISBN)
Description
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.
More details
Language
English
Place of publication
Baton Rouge
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Scientists, biomedical researchers, and graduate students in neuroscience and neuroengineering.
Illustrations
106 s/w Abbildungen, 9 s/w Tabellen
106 b/w images and 9 tables
File size
23,82 MB
ISBN-13
978-1-4398-1204-4 (9781439812044)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Andrea Varsavsky | Iven Mareels | Mark Cook
Epileptic Seizures and the EEG
Measurement, Models, Detection and Prediction
Book
12/2010
1st Edition
CRC Press
€229.41
Shipment within 15-20 days
Persons
Andrea Varsavsky and Iven Mareels are with The University of Melbourne in Victoria, Australia. Mark Cook is with St. Vincent's Hospital and the University of Melbourne in Victoria, Australia.
Content
Introduction. EEG Generation and Measurement. Signal Processing in EEG Analysis. Classifying the EEG. Seizure Detection. Modeling for Epilepsy. On the Predictability of Seizures. Concluding Remarks.
