Classification of EEG signals using Hyperbolic Tangent-Tangent Plot
Автор: Reza Yaghoobi Karimoi, Azra Yaghoobi Karimoi
Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa
Статья в выпуске: 8 vol.6, 2014 года.
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In this paper, a novel signal processing method is suggested for classifying epileptic seizures. To this end, first the Tangent and Hyperbolic Tangent of signals are calculated and then are classified into two classes: normal (or interictal) and ictal, using a proposed classifier. The results of this method show that the classification accuracy of normal and ictal classes (97.41%) has been higher than interictal and ictal classes (92.83%) and generally, it has a good potential to become a useful tool for physicians.
Electroencephalogram (EEG), Epileptic seizure, Tangent, Hyperbolic Tangent
Короткий адрес: https://sciup.org/15010590
IDR: 15010590
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