EEG-based diagnosis of Alzheimer disease : a review and novel approaches for feature extraction and classification techniques /
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...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
London :
Academic Press,
[2018]
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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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| Physical Description: | 1 online resource : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780128153932 0128153938 9780128153925 012815392X |