American Journal of Applied Sciences

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

Muhammad Abdy and Tahir Ahmad

DOI : 10.3844/ajassp.2014.1830.1835

American Journal of Applied Sciences

Volume 11, Issue 10

Pages 1830-1835

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.

Copyright

© 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.