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portada Eeg Brain Signal Classification for Epileptic Seizure Disorder Detection
Type
Physical Book
Publisher
Author
Year
2019
Language
English
Pages
134
Format
Paperback
ISBN13
9780128174265
Edition No.
1
Categories

Eeg Brain Signal Classification for Epileptic Seizure Disorder Detection

Sandeep Kumar Satapathy; Satchidananda Dehuri; Alok Kumar Jagadev; Dr. Shruti Mishra (Author) · Academic Press · Paperback

Eeg Brain Signal Classification for Epileptic Seizure Disorder Detection - Sandeep Kumar Satapathy; Satchidananda Dehuri; Alok Kumar Jagadev; Dr. Shruti Mishra

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Synopsis "Eeg Brain Signal Classification for Epileptic Seizure Disorder Detection "

EEG Brain Signal Classification for Epileptic Seizure Disorder Detection provides the knowledge necessary to classify EEG brain signals to detect epileptic seizures using machine learning techniques. Chapters present an overview of machine learning techniques and the tools available, discuss previous studies, present empirical studies on the performance of the NN and SVM classifiers, discuss RBF neural networks trained with an improved PSO algorithm for epilepsy identification, and cover ABC algorithm optimized RBFNN for classification of EEG signal. Final chapter present future developments in the field. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need the most recent and promising automated techniques for EEG classification.Explores machine learning techniques that have been modified and validated for the purpose of EEG signal classification using Discrete Wavelet Transform for the identification of epileptic seizuresEncompasses machine learning techniques, providing an easily understood resource for both non-specialized readers and biomedical researchersProvides a number of experimental analyses, with their results discussed and appropriately validated

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