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Automatic epilepsy recognition with using HOS analysis of EEG signals

Publish place: 11th Intelligent Systems Conference
Publish Year: 1391
Type: Conference paper
Language: English
View: 1,185

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Link to this Paper:
https://civilica.com/doc/214855

Document National Code:

ICS11_276

Index date: 6 October 2013

Automatic epilepsy recognition with using HOS analysis of EEG signals 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

Automatic epilepsy recognition with using HOS analysis of EEG signals Keywords:

Epilepsy , EEG signals , HOS , Bispectrum , Bicoherence

Automatic epilepsy recognition with using HOS analysis of EEG signals authors

S. A. Hosseini

Department of Electrical Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing (SCIIP), Ferdowsi University of Mashhad, Mashhad, Iran

M-R. Akbarzadeh-T.

Department of Electrical Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing (SCIIP), Ferdowsi University of Mashhad, Mashhad, Iran

M-B. Naghibi-S

Department of Electrical Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing (SCIIP), Ferdowsi University of Mashhad, Mashhad, Iran

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لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
R. G. Andrzejak, K. Lehnertz, F. Mormann, C. Rieke, P. ...
_ _ _ networks, " Computational Intelligence and Neuroscience, pp. ...
S.A. Hosseini, M-R. Akbarzadeh-T, "Methodology for Epilepsy ...
L. Guo, D. Rivero, J. Dorado, J. R. Rabu nal, ...
_ _ _ Nene, Transactions on Biomedical Engineering, Vol. 52, ...
S.A. Hosseini, "Quantification of EEG signals for evaluation of emotional ...
_ _ _ _ _ Emotional _ States, " _ ...
_ International, vol. 35, pp. 19-27, 2002. ...
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