Classification of EEG signals using Hyperbolic Tangent - Tangent Plot

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Reza Yaghoobi Karimoi 1,* Azra Yaghoobi Karimoi 2

1. Department of Biomedical Engineering, Islamic Azad University, Mashhad Branch, Mashhad, Iran

2. Department of Electronic Engineering, Sadjad University of Technology, Mashhad, Iran

* Corresponding author.


Received: 21 Sep. 2013 / Revised: 20 Feb. 2014 / Accepted: 11 Apr. 2014 / Published: 8 Jul. 2014

Index Terms

Electroencephalogram (EEG), Epileptic seizure, Tangent, Hyperbolic Tangent


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.

Cite This Paper

Reza Yaghoobi Karimoi, Azra Yaghoobi Karimoi, "Classification of EEG signals using Hyperbolic Tangent-Tangent Plot", International Journal of Intelligent Systems and Applications(IJISA), vol.6, no.8, pp.39-45, 2014. DOI:10.5815/ijisa.2014.08.04


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