Automatic seizure detection: going from sEEG to iEEG

Jonas Henriksen, Line Sofie Remvig, Rasmus Elsborg Madsen, Isa Conradsen, Troels Wesenberg Kjær, Carsten Eckhart Thomsen, Helge Bjarup Dissing Sørensen

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

Abstract

Several different algorithms have been proposed for automatic detection of epileptic seizures based on both scalp and intracranial electroencephalography (sEEG and iEEG). Which modality that renders the best result is hard to assess though. From 16 patients with focal epilepsy, at least 24 hours of ictal and non-ictal iEEG were obtained. Characteristics of the seizures are represented by use of wavelet transformation (WT) features and classified by a support vector machine. When implementing a method used for sEEG on iEEG data, a great improvement in performance was obtained when the high frequency containing lower levels in the WT were included in the analysis. We were able to obtain a sensitivity of 96.4% and a false detection rate (FDR) of 0.20/h. In general, when implementing an automatic seizure detection algorithm made for sEEG on iEEG, great improvement can be obtained if a frequency band widening of the feature extraction is performed. This means that algorithms for sEEG should not be discarded for use on iEEG - they should be properly adjusted as exemplified in this paper.
Original languageEnglish
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010
PublisherIEEE
Publication date2010
ISBN (Print)978-1-4244-4123-5
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

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