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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.

Original publication

DOI

10.1109/IEMBS.2006.260931

Type

Journal article

Journal

Conf Proc IEEE Eng Med Biol Soc

Publication Date

2006

Volume

Suppl

Pages

6724 - 6727

Keywords

Electroencephalography, Entropy, Epilepsy, Humans, Nonlinear Dynamics, Stochastic Processes