Eeg-Based Diagnosis of Alzheimer Disease:A Review and Novel Approaches for Feature Extraction and Classification Techniques

基于Eeg的阿尔茨海默病诊断

精神病学

售   价:
875.00
作      者
出  版 社
出版时间
2018年04月01日
装      帧
平装
ISBN
9780128153925
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页      码
150
语      种
英文
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图书简介
Exploring all current techniques and emphasizing newer practices, EEG-Based Signal Analysis Techniques for Diagnosis of Alzheimer’s Disease provides a practical and easy-to-use guide for researchers in EEG signal processing techniques, Alzheimer’s disease, or dementia diagnostics. EEG-Based Signal Analysis Techniques for Diagnosis of Alzheimer’s Disease examines different features of EEG signals used to diagnose Alzheimer’s Disease early and properly, 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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