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Epilepsy detection using detrended fluctuation analysis

Record type: Conference or Workshop Item (Paper)

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

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Citation

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).

More information

Published date: 2009
Venue - Dates: IEEE International Conference on Wavelet Analysis and Pattern Recognition, China, 2009-01-01

Identifiers

Local EPrints ID: 192049
URI: http://eprints.soton.ac.uk/id/eprint/192049
ISBN: 978-1-4244-3728-3
PURE UUID: 476210d5-7f1a-4af8-8b30-52e44d600b5d

Catalogue record

Date deposited: 29 Jun 2011 11:33
Last modified: 18 Jul 2017 11:33

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