DocumentCode :
2096830
Title :
A physiologically motivated ECoG segmentation method for epileptic seizure onset zone detection
Author :
Graef, A. ; Flamm, C. ; Pirker, S. ; Deistler, M. ; Baumgartner, C.
Author_Institution :
Inst. for Math. Methods in Econ.; Austria, Vienna Univ. of Technol., Vienna, Austria
fYear :
2012
fDate :
Aug. 28 2012-Sept. 1 2012
Firstpage :
3500
Lastpage :
3503
Abstract :
In this paper we propose a novel segmentation method based on the relative frequency contributions of ictal multichannel ECoG data. Segments with predominant ϑ-activity are classified as epileptic. The seizure onset zone is determined by the temporal delay of the epileptic ϑ-activity (4-9Hz) on the different channels. We apply this methodology to three seizures of one patient suffering from focal epilepsy. The resulting segments reflect the visual characteristics of the ictal ECoG well. The seizure onset zone identified by the proposed method is in very good accordance with the clinical findings.
Keywords :
electroencephalography; medical disorders; medical signal detection; medical signal processing; epileptic ϑ-activity; epileptic seizure onset zone detection; ictal ECoG; ictal multichannel ECoG data; physiologically motivated ECoG segmentation method; temporal delay; visual characteristics; Electrodes; Electroencephalography; Epilepsy; Inspection; Physiology; Surgery; Visualization; Electroencephalography; Epilepsy; Humans; Signal Processing, Computer-Assisted;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2012.6346720
Filename :
6346720
Link To Document :
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