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

A practical guide to early and efficient signal processing methods for Alzheimer disease diagnostics

Nilesh Kulkarni (Author), Vinayak Bairagi (Author)

9780128153925

Paperback, published 18 April 2018

110 pages
23.4 x 19 x 0.9 cm, 0.23 kg

Approx.100 pages

1. Introduction2. Electroencephalogram and Its Use in Clinical Neuroscience3. Role of Different Features in Diagnosis of Alzheimer’s Disease4. Use of Complexity-Based Features in the Diagnosis of Alzheimer’s Disease5. Classification Algorithms in the Diagnosis of Alzheimer’s Disease6. Discussion and Research Challenges

Subject Areas: Biomedical engineering [MQW]