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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

Authors


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Institution:
University of Oxford
Department:
Oxford, MSD, Psychiatry
Maghsoudi, A More by this author
Shamsollahi, MB More by this author
Journal:
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
Volume:
Suppl
Pages:
6724-6727
Publication date:
2006
DOI:
ISSN:
1557-170X
URN:
uuid:36c67f7e-e2ad-49be-a0e6-a490fe483327
Source identifiers:
272853
Local pid:
pubs:272853

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