Title :
Epilepsy detection using Detrended Fluctuation Analysis
Author :
Shalbaf, Reza ; Hosseini, Pegah Tayaranian ; Analoui, Morteza
Author_Institution :
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
Abstract :
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 this articles, 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, we come to 100% separation of Normal, Preictal, and Ictal states of the brain.
Keywords :
electroencephalography; medical signal detection; patient treatment; EEG signal; brain; central nervous system disorder; detrended fluctuation analysis; epilepsy detection; patient treatment; quantitative parameter; scaling analysis method; signal detection; Epilepsy; Fluctuations; Pattern analysis; Pattern recognition; Wavelet analysis; Detrended fluctuation analysis; linear discriminant analysis; seizure detection; standard deviation;
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2009. ICWAPR 2009. International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3728-3
Electronic_ISBN :
978-1-4244-3729-0
DOI :
10.1109/ICWAPR.2009.5207454
