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EEG-based diagnosis of Alzheimer dis...

Bairagi, Vinayak,

EEG-based diagnosis of Alzheimer disease :a review and novel approaches for feature extraction and classification techniques /

Record Type:	Electronic resources : Monograph/item
Title/Author:	EEG-based diagnosis of Alzheimer disease :Nilesh Kulkarni and Vinayak Bairagi.
Reminder of title:	a review and novel approaches for feature extraction and classification techniques /
Author:	Kulkarni, Nilesh,
other author:	Bairagi, Vinayak,
Description:	1 online resource :illustrations
Subject:	Alzheimer's diseaseDiagnosis.
Online resource:	https://www.sciencedirect.com/science/book/9780128153925
ISBN:	9780128153932$q(electronic bk.)

EEG-based diagnosis of Alzheimer disease :a review and novel approaches for feature extraction and classification techniques /
Kulkarni, Nilesh,

EEG-based diagnosis of Alzheimer disease :a review and novel approaches for feature extraction and classification techniques /Nilesh Kulkarni and Vinayak Bairagi. - 1 online resource :illustrations

Includes bibliographical references and index.

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.

ISBN: 9780128153932$q(electronic bk.)Subjects--Topical Terms:

374205
Alzheimer's disease
--Diagnosis.Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: RC523

Dewey Class. No.: 616.831075

EEG-based diagnosis of Alzheimer disease :a review and novel approaches for feature extraction and classification techniques /
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245 1 0 $a EEG-based diagnosis of Alzheimer disease : $b a review and novel approaches for feature extraction and classification techniques / $c Nilesh Kulkarni and Vinayak Bairagi.
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520 $a 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.
650 0 $a Alzheimer's disease $x Diagnosis. $3 374205
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