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A Comparison of Techniques for the Prediction of Epileptic Seizures
Lubbock, Texas June 09-June 10
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.1995.465436Eighth IEEE Symposium on Computer-Bas ...
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D. Qin, Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
B. Houchins, Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
M.E. Parten, Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
N. Parker, Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
R. Homan, Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
A. Petrosian, Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
Abstract: EEG signal analysis has been proposed for early warning of an epileptic seizure. A number of different signal analysis techniques are examined and compared using an example EEG signal. The objective of this comparison is to determine which analysis technique to use in an automatic, real time early warning system for epileptic patients.
Index Terms:
electroencephalography; medical signal processing; real-time systems; alarm systems; epileptic seizure prediction; signal analysis techniques; EEG signal; real time early warning system; epileptic patients; automatic real time system
Citation:
D. Qin, B. Houchins, M.E. Parten, N. Parker, R. Homan, A. Petrosian, "A Comparison of Techniques for the Prediction of Epileptic Seizures," cbms, pp.0151, Eighth IEEE Symposium on Computer-Based Medical Systems (CBMS'95), 1995
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