Download the fantastic book titled EEG Based Diagnosis of Alzheimer Disease written by Nilesh Kulkarni, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "EEG Based Diagnosis of Alzheimer Disease", which was released on 13 April 2018. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of EEG Based Diagnosis of Alzheimer Disease by Nilesh Kulkarni PDF
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. Includes the mathematical models and rigorous analysis of various classifiers and machine learning algorithms from a perspective of clinical deployment Covers the history of EEG signals and their measurement and recording, along with their uses in clinical diagnostics Analyzes spectral, wavelet, complexity and other features of early and efficient Alzheimer’s Disease diagnostics Explores support vector machine-based classification to increase accuracy
Detail About EEG Based Diagnosis of Alzheimer Disease PDF
- Author : Nilesh Kulkarni
- Publisher : Academic Press
- Genre : Technology & Engineering
- Total Pages : 110 pages
- ISBN : 0128153938
- Release Date : 13 April 2018
- PDF File Size : 16,9 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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