EEG-Based Diagnosis of Alzheimer Disease : A Review and Novel Approaches for Feature Extraction and Classification Techniques by Nilesh Kulkarni and Vinayak Bairagi (2018, Trade Paperback)

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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.

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Product Identifiers

PublisherElsevier Science & Technology
ISBN-10012815392X
ISBN-139780128153925
eBay Product ID (ePID)3046600131

Product Key Features

Number of Pages110 Pages
LanguageEnglish
Publication NameEEG-Based Diagnosis of Alzheimer Disease : A Review and Novel Approaches for Feature Extraction and Classification Techniques
SubjectNeurology, Biomedical
Publication Year2018
TypeTextbook
AuthorNilesh Kulkarni, Vinayak Bairagi
Subject AreaTechnology & Engineering, Medical
FormatTrade Paperback

Dimensions

Item Length9.2 in
Item Width7.5 in

Additional Product Features

Intended AudienceScholarly & Professional

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