Title : ( Automatic epilepsy recognition with using HOS analysis of EEG signals )
Authors: Mohammad Reza Akbarzadeh Totonchi , S. A. Hosseini , M-B. Naghibi-S ,
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Abstract
In this paper, a higher order spectra scheme is proposed for recognition of epilepsy states. Epilepsy is a brain disorder that is characterized by sudden and recurrent seizures. we known that higher order spectra contain information not present in the power spectrum. Normal, pre-ictal and ictal signals were classified using a poly-SVM classifier. We reached an average accuracy of 97.2% for the two categories of epilepsy states (Normal & Ictal). In this research, both qualitative and quantitative results are presented. We concluded that HOS analysis could be an accurate tool in the evaluation of epilepsy states
Keywords
, Epilepsy, EEG signals, HOS, Bispectrum, Bicoherence.
@inproceedings{paperid:1035852,
author = {Akbarzadeh Totonchi, Mohammad Reza and S. A. Hosseini and M-B. Naghibi-S},
title = {Automatic epilepsy recognition with using HOS analysis of EEG signals},
booktitle = {11th Iranian Conference on Intelligent Systems},
year = {2013},
location = {تهران, IRAN},
keywords = {Epilepsy; EEG signals; HOS; Bispectrum; Bicoherence.},
}
%0 Conference Proceedings
%T Automatic epilepsy recognition with using HOS analysis of EEG signals
%A Akbarzadeh Totonchi, Mohammad Reza
%A S. A. Hosseini
%A M-B. Naghibi-S
%J 11th Iranian Conference on Intelligent Systems
%D 2013
