Automatic epilepsy recognition with using HOS analysis of EEG signals
Publish place: 11th Intelligent Systems Conference
Publish Year: 1391
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICS11_276
تاریخ نمایه سازی: 14 مهر 1392
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
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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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