چکیده مقاله
In this paper, we show another technique for electroencephalogram EEG signal grouping based on fractional arrange math The technique, named Fractional Linear Forecasting FLF , is utilized to display Middle phase of seizure ictal without and seizure EEG signals It is discovered that the displaying blunder vitality is considerably higher for ictal EEG signals contrasted with sans seizure EEG signals In addition, it is realized that Middle phase of seizure ictal EEG signals have higher energy than sans seizure EEGsignals These two parameters are then given as contributions to prepare a support vector machine SVM The prepared SVM is then used to group an arrangement of EEG signals into Middle phase of seizure ictal and without seizure classifications It is discovered that the proposed technique gives an order forecasting of 95 33% when the SVM is prepared with the spiral premise work RBF part
نویسندگان
Mohammad Fiuzy
school of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
Seyed kamaleddin Mousavi Mashhadi
school of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
شیوه ارجاع
Fiuzy, Mohammad and Mousavi Mashhadi, Seyed kamaleddin,1396,Classification of Middle phase of seizure and seizure-free EEG signals using fractional linear Forecasting,2rd International Conference on Soft Computing,Rudsar
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