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Seizure detection in EEG signals: a comparison of different approaches.

Abstract:
In this paper, the performance of traditional variance-based method for detection of epileptic seizures in EEG signals are compared with various methods based on nonlinear time series analysis, entropies, logistic regression,discrete wavelet transform and time frequency distributions.We noted that variance-based method in compare to the mentioned methods had the best result (100%) applied on the same database.

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Publisher copy:
10.1109/iembs.2006.260931

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Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
Language:
English
Keywords:
Pubs id:
pubs:272853
UUID:
uuid:36c67f7e-e2ad-49be-a0e6-a490fe483327
Local pid:
pubs:272853
Deposit date:
2014-07-25

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