Automatic Epileptic Seizure Onset Detection Using Matching Pursuit: A case Study

Thomas Lynggaard Sorensen, Ulrich L. Olsen, Isa Conradsen, Jonas Duun-Henriksen, Troels W. Kjaer, Carsten E. Thomsen, Helge Bjarup Dissing Sørensen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

475 Downloads (Pure)

Abstract

An automatic alarm system for detecting epileptic seizure onsets could be of great assistance to patients and medical staff. A novel approach is proposed using the Matching Pursuit algorithm as a feature extractor combined with the Support Vector Machine (SVM) as a classifier for this purpose. The combination of Matching Pursuit and SVM for automatic seizure detection has never been tested before, making this a pilot study. Data from red different patients with 6 to 49 seizures are used to test our model. Three patients are recorded with scalp electroencephalography (sEEG) and three with intracranial electroencephalography (iEEG). A sensitivity of 78-100% and a detection latency of 5-18s has been achieved, while holding the false detection at 0.16-5.31/h. Our results show the potential of Matching Pursuit as a feature xtractor for detection of epileptic seizures.
Original languageEnglish
Title of host publicationEngineering in Medicine and Biology Conference
PublisherIEEE
Publication date2010
Pages3277-3280
ISBN (Print)978-1-4244-4124-2
DOIs
Publication statusPublished - 2010
Event32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Buenos Aires, Argentina
Duration: 31 Aug 20104 Sep 2010
Conference number: 32
http://embc2010.embs.org/

Conference

Conference32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Number32
CountryArgentina
CityBuenos Aires
Period31/08/201004/09/2010
Internet address

Bibliographical note

Copyright 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Cite this

Sorensen, T. L., Olsen, U. L., Conradsen, I., Duun-Henriksen, J., Kjaer, T. W., Thomsen, C. E., & Sørensen, H. B. D. (2010). Automatic Epileptic Seizure Onset Detection Using Matching Pursuit: A case Study. In Engineering in Medicine and Biology Conference (pp. 3277-3280). IEEE. https://doi.org/10.1109/IEMBS.2010.5627265