Epilepsy detection using detrended fluctuation analysis
Epilepsy detection using detrended fluctuation analysis
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
978-1-4244-3728-3
235-240
Shalbaf, R.
97742966-009b-4936-a8e6-99fa7896855f
Hosseini, P.T.
47511a4b-5adc-4e93-9d2a-46e3016c87fb
2009
Shalbaf, R.
97742966-009b-4936-a8e6-99fa7896855f
Hosseini, P.T.
47511a4b-5adc-4e93-9d2a-46e3016c87fb
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.
.
(doi:10.1109/ICWAPR.2009.5207454).
Record type:
Conference or Workshop Item
(Paper)
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
This record has no associated files available for download.
More information
Published date: 2009
Venue - Dates:
IEEE International Conference on Wavelet Analysis and Pattern Recognition, Baoding, 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: 14 Mar 2024 03:48
Export record
Altmetrics
Contributors
Author:
R. Shalbaf
Author:
P.T. Hosseini
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics