Automatic Epileptic Seizure Detection in EEG Signals Using Multi-Domain Feature Extraction and Nonlinear Analysis

Automatic Epileptic Seizure Detection in EEG Signals Using Multi-Domain Feature Extraction and Nonlinear Analysis

Epileptic seizure detection is commonly implemented by expert clinicians with visual observation of electroencephalography (EEG) signals, which tends to be time consuming and sensitive to bias. The epileptic detection in most previous research suffers from low power and unsuitability for processing...

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Bibliographic Details
Main Authors: Lina Wang, Weining Xue, Yang Li, Meilin Luo, Jie Huang, Weigang Cui, Chao Huang
Format: Article
Language:English
Published: MDPI AG 2017-05-01
Series:Entropy
Subjects:
EEG
epileptic seizure detection
wavelet threshold denoising
wavelet feature extraction
nonlinear analysis
principal component analysis (PCA)
analysis of variance (ANOVA)
Online Access:http://www.mdpi.com/1099-4300/19/6/222

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http://www.mdpi.com/1099-4300/19/6/222

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