NDLI: Automatic classification of penicillin-induced epileptic EEG spikes

Content Provider	IEEE Xplore Digital Library
Author	Kortelainen, J. Silfverhuth, M. Suominen, K. Sonkajarvi, E. Alahuhta, S. Jantti, V. Seppanen, T.
Copyright Year	2010
Description	Author affiliation: Department of Biomedical Engineering, Tampere University of Technology, Finland (Jantti, V.) \|\| Department of Electrical and Information Engineering, BOX 4500, FIN-90014 University of Oulu, Finland (Kortelainen, J.; Silfverhuth, M.; Seppanen, T.) \|\| Department of Clinical Neurophysiology, Oulu University Hospital, Finland (Suominen, K.) \|\| Department of Anesthesiology, University of Oulu, Finland (Sonkajarvi, E.; Alahuhta, S.)
Abstract	Penicillin-induced focal epilepsy is a well-known model in epilepsy research. In this model, epileptic activity is generated by delivering penicillin focally to the cortex. The drug induces interictal electroencephalographic (EEG) spikes which evolve in time and may later change to ictal discharges. This paper proposes a method for automatic classification of these interictal epileptic spikes using iterative K-means clustering. The method is shown to be able to detect different spike waveforms and describe their characteristic occurrence in time during penicillin-induced focal epilepsy. The study offers potential for future research by providing a method to objectively and quantitatively analyze the time sequence of interictal epileptic activity.
Starting Page	6674
Ending Page	6677
File Size	292671
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5627154
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Epilepsy Clustering algorithms Classification algorithms Brain modeling Data mining Discharges
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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