EEG-Based Diagnosis of Alzheimer Disease

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Description

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, Alzheimerâs disease, and dementia diagnostics.

The book examines different features of EEG signals used to properly diagnose Alzheimerâs Disease early, presenting new and innovative results in the extraction and classification of Alzheimerâs 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 Alzheimerâs Disease.

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