Epilepsy detection using detrended fluctuation analysis
Shalbaf, R. and Hosseini, P.T. (2009) Epilepsy detection using detrended fluctuation analysis. In, Proceedings of the IEEE International Conference on Wavelet Analysis and Pattern Recognition. IEEE International Conference on Wavelet Analysis and Pattern Recognition New York, US, Institute of Electrical and Electronics Engineers, 235-240. (doi:10.1109/ICWAPR.2009.5207454).
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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
|Item Type:||Book Section|
|Digital Object Identifier (DOI):||doi:10.1109/ICWAPR.2009.5207454|
|Subjects:||T Technology > T Technology (General)|
|Divisions:||University Structure - Pre August 2011 > Institute of Sound and Vibration Research > Signal Processing and Control
|Date Deposited:||29 Jun 2011 11:33|
|Last Modified:||06 Aug 2015 03:04|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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