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
كليدواژه :
Epilepsy , EEG signals , HOS , Bispectrum , Bicoherence
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
