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ISSN: 1546-9239 (Print)
ISSN: 1554-3641 (Online)
Research Article Open Access

SEGMENTATION OF ELECTROENCEPHALOGRAM SIGNALS DURING EPILEPTIC SEIZURES BY USING FUZZY C-MEANS

Muhammad Abdy1 and Tahir Ahmad2
  • 1 Department of Mathematics, Universitas Negeri Makassar, Indonesia
  • 2 Department of Mathematical Sciences and Ibnu Sina Institute for Fundamental Science Studies, Universiti Teknologi Malaysia, 81310 Skudai, Johor Darul Takzim, Malaysia

Abstract

Electroencephalogram (EEG) is a recording of electrical activity of the brain. It contains valuable information related to the different physiological states of the brain. A quantitative EEG analysis has been developed over the years that introduce objective measure, reflecting not only the characteristics of the brain activity itself but also giving clues concerning the underlying associated neural dynamics. In this study, the image form of the EEG signals is segmented into parts that have the nearly equal electrical current strength. This segmentation uses fuzzy c-means. An example of EEG signal data will be provided and segmented using the obtained method.

American Journal of Applied Sciences
Volume 11 No. 10, 2014, 1830-1835

DOI: https://doi.org/10.3844/ajassp.2014.1830.1835

Submitted On: 16 July 2014 Published On: 11 November 2014

How to Cite: Abdy, M. & Ahmad, T. (2014). SEGMENTATION OF ELECTROENCEPHALOGRAM SIGNALS DURING EPILEPTIC SEIZURES BY USING FUZZY C-MEANS. American Journal of Applied Sciences, 11(10), 1830-1835. https://doi.org/10.3844/ajassp.2014.1830.1835

Open AccessCopyright: © 2014 Muhammad Abdy and Tahir Ahmad. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • EEG Signals
  • Fuzzy-C-Mean
  • Segmentation