Computational EEG Analysis - Methods and Applications (Hardcover, 1st ed. 2018)

This book introduces and reviews all of the currently available methods being used for computational electroencephalogram (EEG) analysis, from the fundamentals through to the state-of-the-art. The aim of the book is to help biomedical engineers and medical doctors who use EEG to better understand the methods and applications of computational EEG analysis from a single, well-organized resource. Following a brief introduction to the principles of EEG and acquisition techniques, the book is divided into two main sections. The first of these covers analysis methods, beginning with preprocessing, and then describing EEG spectral analysis, event-related potential analysis, source imaging and multimodal neuroimaging, and functional connectivity analysis. The following section covers application of EEG analysis to specific fields, including the diagnosis of psychiatric diseases and neurological disorders, brain-computer interfacing, and social neuroscience. Aimed at practicing medical specialists, engineers, researchers and advanced students, the book features contributions from world-renowned biomedical engineers working across a broad spectrum of computational EEG analysis techniques and EEG applications.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Biological and Medical Physics, Biomedical Engineering
Release date:	August 2018
First published:	2018
Editors:	Chang-Hwan Im
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	228
Edition:	1st ed. 2018
ISBN-13:	978-981-13-0907-6
Categories:	Books > Medicine > Clinical & internal medicine > Neurology & clinical neurophysiology Books > Medicine > Other branches of medicine > Medical imaging > Radiology Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Physics > Applied physics & special topics > Medical physics
LSN:	981-13-0907-8
Barcode:	9789811309076

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