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ucin1242070584.pdf (1.47 MB)
ETD Abstract Container
Abstract Header
Time-frequency and Hidden Markov Model Methods for Epileptic Seizure Detection
Author Info
Zhu, Dongqing
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1242070584
Abstract Details
Year and Degree
2009, MS, University of Cincinnati, Engineering : Electrical Engineering.
Abstract
Epilepsy is a severe brain disease that affects more than 50 million individuals world-wide, which are about 1% of the world's population. A method capable of detecting seizures early enough to allow prompt medical treatment would greatly improve the life quality of patients with epilepsy. This thesis proposes two seizure detection methods based on Discrete Wavelet Transform (DWT) and Hidden Markov Model (HMM). 96.6% classification accuracy and good early seizure detection results (0.25 minute to 6 minutes before seizure onset) are achieved on two different data sets. Our methods are compared with two existing seizure detection algorithms and demonstrate great potentials for clinical applications in seizure detection and prediction.
Committee
Howard Fan, PhD (Committee Chair)
Carla Purdy, PhD (Committee Member)
William Wee, PhD (Committee Member)
Pages
115 p.
Subject Headings
Biomedical Research
;
Electrical Engineering
Keywords
human EEG
;
HMM
;
DWT
;
epilepsy
;
seizure detection
;
seizure prediction
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Citations
Zhu, D. (2009).
Time-frequency and Hidden Markov Model Methods for Epileptic Seizure Detection
[Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1242070584
APA Style (7th edition)
Zhu, Dongqing.
Time-frequency and Hidden Markov Model Methods for Epileptic Seizure Detection.
2009. University of Cincinnati, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1242070584.
MLA Style (8th edition)
Zhu, Dongqing. "Time-frequency and Hidden Markov Model Methods for Epileptic Seizure Detection." Master's thesis, University of Cincinnati, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1242070584
Chicago Manual of Style (17th edition)
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Document number:
ucin1242070584
Download Count:
736
Copyright Info
© 2009, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.