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

• Main Authors: Ahmad, Tahir, Abdy, Muhammad
• Format: Article
• Published: Science Publication 2014
• Subjects: Q Science
• Online Access: http://eprints.utm.my/id/eprint/62540/; http://dx.doi.org/10.3844/ajassp.2014.1830.1835
• Institution: Universiti Teknologi Malaysia

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.