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

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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. Review A practical guide to early and efficient signal processing methods for Alzheimer disease diagnostics About the Author Vinayak K. Bairagi completed his M.E. (electronics) at Sinhgad COE and his Ph.D. in engineering at University of Pune. He has 10 years of teaching experience and 7 years of research experience. He has filed eight patents and five copyrights in field of biomedical engineering. He has published dozens of research papers in this field and is a reviewer for nine scientific journals. He has received the IEI national level Young Engineer Award (2014) and the ISTE national level Young Researcher Award (2015) for excellence in the field of engineering. He is a member of INENG (UK), IETE (India), ISTE (India), and BMS (India). He is a recognized PhD mentor in electronics engineering of Savitribai Phule Pune University

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