EEG-Based Diagnosis of Alzheimer Disease - A Review and Novel Approaches for Feature Extraction and Classification Techniques (Paperback)

EEG-Based Diagnosis of Alzheimer Disease: A Review and Novel Approaches for Feature Extraction and Classification Techniques provides a practical and easy-to-use guide for researchers in EEG signal processing techniques, Alzheimer's disease, and dementia diagnostics. The book examines different features of EEG signals used to properly diagnose Alzheimer's Disease early, presenting new and innovative results in the extraction and classification of Alzheimer's Disease using EEG signals. This book brings together the use of different EEG features, such as linear and nonlinear features, which play a significant role in diagnosing Alzheimer's Disease.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Release date:	April 2018
First published:	2018
Authors:	Nilesh Kulkarni • Vinayak Bairagi
Dimensions:	235 x 191 x 12mm (L x W x T)
Format:	Paperback
Pages:	110
ISBN-13:	978-0-12-815392-5
Categories:	Books > Medicine > Clinical & internal medicine > Neurology & clinical neurophysiology Books > Medicine > Clinical & internal medicine > Medical diagnosis > General
LSN:	0-12-815392-X
Barcode:	9780128153925

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