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. Institute of Electrical and Electronics Engineers., pp. 235-240. (doi:10.1109/ICWAPR.2009.5207454).

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Description/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

Item Type: Conference or Workshop Item (Paper)
Digital Object Identifier (DOI): doi:10.1109/ICWAPR.2009.5207454
ISBNs: 9781424437283 (print)
Venue - Dates: IEEE International Conference on Wavelet Analysis and Pattern Recognition, China, 2009-01-01
Subjects:
ePrint ID: 192049
Date :
Date Event
2009Published
Date Deposited: 29 Jun 2011 11:33
Last Modified: 18 Apr 2017 01:51
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/192049

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