DocumentCode
3020249
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
fYear
2009
fDate
12-15 July 2009
Firstpage
235
Lastpage
240
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICWAPR.2009.5207454
Filename
5207454
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