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Volume 2, Issue 1, June 2018, Page: 1-7
Selection of Feature for Epilepsy Seizer Detection Using EEG
Manisha Chandani, Department of Electronics & Telecommunication, Bhilai Institute of Technology, Durg, India
Arun Kumar, Department of Electronics & Telecommunication, Bhilai Institute of Technology, Durg, India
Received: Jan. 8, 2018;       Accepted: Mar. 23, 2018;       Published: Apr. 20, 2018
DOI: 10.11648/j.ijn.20180201.11      View  1027      Downloads  70
Abstract
The study of the electrical signals produced by neural activities of human brain is called Electroencephalography. Epilepsy is one of the most common neurological diseases and the most common neurological chronic disease in childhood. Electroencephalography (EEG) still remains one of the most useful and effective tools in understanding and treatment of epilepsy. EEG signal when decomposed into frequency subbands, gives us several statistical features in each band. Some of these features that may be employed for detection of epilepsy are explored in this paper.
Keywords
Electroencephalography (EEGs), Epileptic, Seizure
To cite this article
Manisha Chandani, Arun Kumar, Selection of Feature for Epilepsy Seizer Detection Using EEG, International Journal of Neurosurgery. Vol. 2, No. 1, 2018, pp. 1-7. doi: 10.11648/j.ijn.20180201.11
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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