شماره ركورد كنفرانس
4418
عنوان مقاله
Automatic epilepsy recognition with using HOS analysis of EEG signals
پديدآورندگان
Hosseini S. A. Department of Electrical Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing (SCIIP), Ferdowsi University of Mashhad, Mashhad, Iran , Akbarzadeh-T. M-R. Department of Electrical Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing (SCIIP), Ferdowsi University of Mashhad, Mashhad, Iran , Naghibi-S M-B. Department of Electrical Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing (SCIIP), Ferdowsi University of Mashhad, Mashhad, Iran
تعداد صفحه
۷
كليدواژه
Epilepsy , EEG signals , HOS , Bispectrum , Bicoherence
سال انتشار
۱۳۹۱
عنوان كنفرانس
يازدهمين كنفرانس سراسري سيستم هاي هوشمند
زبان مدرك
انگليسي
چكيده فارسي
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 amp; 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
كشور
ايران
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