EPILEPSY DETECTION USING DETRENDED FLUCTUATION ANALYSIS

被引：8
作者：
Shalbaf, Reza [1 ]
Hosseini, Pegah Tayaranian [2 ]
Analoui, Morteza [3 ]
机构：
[1] Iran Univ Sci & Technol, Dept Elect Engn, Tehran, Iran
[2] Amirkabir Univ Technol, Dept Biomed Engn, Tehran, Iran
[3] Iran Univ Sci & Technol, Dept Comp Engn, Tehran, Iran
来源：
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION | 2009年
关键词：
Detrended fluctuation analysis; linear discriminant analysis; standard deviation; seizure detection; EEG; CLASSIFICATION;
D O I：
10.1109/ICWAPR.2009.5207454
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Epilepsy is a disorder of the central nervous system characterized by the loss of consciousness and convulsions. If some early warning signal of an upcoming seizure (diagnosis of preictal period) could be detected, proper treatment could be applied to the patient to help prevent the seizure. In (his article, Detrended Fluctuation Analysis (DFA) has been introduced and used to extract the DFA feature from EEG signal. DFA is a scaling analysis method that provides a simple quantitative parameter to represent the correlation properties of a signal. Using this feature along with Standard Deviation of EEG signal, we come to 100% separation of Normal, Preictal, and Ictal states of the brain.
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收藏
页码：235 / +
页数：2
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