NDLI: Seizure Prediction Using a Dynamic Model with Hidden Variable

Content Provider	IEEE Xplore Digital Library
Author	Zhongyu Pang Derong Liu
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Illinois at Chicago, Chicago, IL (Zhongyu Pang; Derong Liu)
Abstract	Seizure is a kind of brain disorder and sometimes has vital effect on patients. Correct seizure prediction will provide huge help for patients and doctors. We have developed a novel approach to predict seizures. Wavelet transform is used to calculate the energy of a specific frequency band of 4-12 Hz to remove noise in the signal and to pick up useful information. A dynamic model is developed to describe this process with a hidden variable. We assume that the initial state of hidden variable has Gaussian distribution and it follows the second order autoregressive (AR) process. The hidden variable in the model can be solved by modified particle filters. Four patients' intracranial EEG data are used to test our algorithm including 30 hours of ictal EEG with 15 seizures and 45 hours of normal EEG recordings. The first seizure from each patient is supposed to be known for parameter determination purpose. The results show that our algorithm can successfully predict 10 out of the 11 seizures and average prediction time is 33.5 minutes before seizure onset. The sensitivity is 90.9% and the false prediction rate is approximately 0.11FP/h.
Starting Page	506
Ending Page	509
File Size	124651
Page Count	4
File Format	PDF
ISBN	9781424417476
DOI	10.1109/ICBBE.2008.123
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Epilepsy Predictive models Gaussian distribution Brain modeling Frequency Electroencephalography Particle filters Data mining Testing
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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