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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 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	EEG-based diagnosis of Alzheimer disease :/ Nilesh Kulkarni and Vinayak Bairagi.
其他題名:	a review and novel approaches for feature extraction and classification techniques /
作者:	Kulkarni, Nilesh,
其他作者:	Bairagi, Vinayak,
面頁冊數:	1 online resource :illustrations :
標題:	Alzheimer's disease - Diagnosis. -
電子資源:	https://www.sciencedirect.com/science/book/9780128153925
ISBN:	9780128153932

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: 9780128153932Subjects--Topical Terms:

791236
Alzheimer's disease
--Diagnosis.Index Terms--Genre/Form:

554714
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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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 791236
650 0 $a Electroencephalography. $3 581307
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