Classification of focal and nonfocal EEG signals using ANFIS classifier for epilepsy detection

Deivasigamani, Subbramania Pattar and Senthilpari, Chinnaiyan and Yong, Wong Hin (2017) Classification of focal and nonfocal EEG signals using ANFIS classifier for epilepsy detection. International Journal of Imaging Systems and Technology, 26 (4). pp. 277-283. ISSN 08999457

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Official URL: http://doi.org/10.1002/ima.22199

Abstract

Imaging systems are rapidly becoming a ubiquitous part of our daily environment. Their success has been made possible by a unique blend of science and technology achieved in the latter part of the 20th century. In addition to performing mundane tasks, imaging systems allow us to study astronomical objects and molecules; they are widely used in quality control and oil exploration. Remarkably, the same principles are used to build non-invasive tools for studying the anatomy and physiology of various human and animal organs, including the most complex one, the brain. The International Journal of Imaging Systems and Technology – Neuroimaging and Brain Mapping is a forum for the exchange of ideas and results relevant to imaging systems and their applications in the field of Neuroscience. The International Journal of Imaging Systems and Technology - Neuroimaging and Brain Mapping began focusing on the field of Neuroscience in a broad sense in early 2010, including relevant algorithmic research and hardware and software development. The Journal publishes general-interest articles on neuro-imaging. The scope of the Journal includes, but is not limited to, the following:

Item Type: Article
Uncontrolled Keywords: focal signals, epilepsy, epileptogenic area, wavelet, brain
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 01 Feb 2017 04:50
Last Modified: 01 Feb 2017 04:50
URI: http://shdl.mmu.edu.my/id/eprint/6385

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