NDLI: An entropy-based approach to predict seizures in temporal lobe epilepsy using scalp EEG

Content Provider	IEEE Xplore Digital Library
Author	Zandi, A.S. Dumont, G.A. Javidan, M. Tafreshi, R.
Copyright Year	2009
Description	Author affiliation: Department of Electrical & Computer Engineering at The University of British Columbia (UBC), Vancouver, BC, V6T 1Z4, Canada (Zandi, A.S.; Dumont, G.A.) \|\| MD, FRCPC, Division of Neurology, Department of Medicine at The University of British Columbia (UBC); Director, Neurophysiology Lab. at Vancouver General Hospital (VGH), Vancouver, BC, V5Z 1M9, Canada (Javidan, M.) \|\| Department of Mechanical Engineering at Texas A&M University at Qatar, Doha, P.O. Box 23874, Qatar (Tafreshi, R.)
Abstract	We describe a novel algorithm for the prediction of epileptic seizures using scalp EEG. The method is based on the analysis of the positive zero-crossing interval series of the EEG signal and its first and second derivatives as a measure of brain dynamics. In a moving-window analysis, we estimated the probability density of these intervals and computed the differential entropy. The resultant entropy time series were then inspected using the cumulative sum (CUSUM) procedure to detect decreases as precursors of upcoming seizures. In the next step, the alarm sequences resulting from analysis of the EEG waveform and its derivatives were combined. Finally, a seizure prediction index was generated based on the spatio-temporal processing of the combined CUSUM alarms. We evaluated our algorithm using a dataset of ∼21.5 hours of multichannel scalp EEG recordings from four patients with temporal lobe epilepsy, resulting in 87.5% sensitivity, a false prediction rate of 0.28/hr, and an average prediction time of 25 min.
Starting Page	228
Ending Page	231
File Size	305140
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5333971
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temporal lobe Epilepsy Scalp Electroencephalography Prediction algorithms Entropy Signal analysis Algorithm design and analysis USA Councils Neurons
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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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