Universiti Teknologi Malaysia Institutional Repository

Segmentation of electroencephalogram signals during epileptic seizures by using fuzzy c-means

Ahmad, Tahir and Abdy, Muhammad (2014) Segmentation of electroencephalogram signals during epileptic seizures by using fuzzy c-means. American Journal of Applied Sciences, 11 (10). pp. 1830-1835. ISSN 1546-9239

Full text not available from this repository.

Official URL: http://dx.doi.org/10.3844/ajassp.2014.1830.1835

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. A example of EEG signal data will be provided and segmented using the obtained method.

Item Type:Article
Uncontrolled Keywords:EEG signals, segmentation
Subjects:Q Science
Divisions:Science
ID Code:62540
Deposited By: Widya Wahid
Deposited On:18 Jun 2017 14:09
Last Modified:18 Jun 2017 14:09

Repository Staff Only: item control page