Please use this identifier to cite or link to this item: http://localhost:80/xmlui/handle/123456789/2524
Title: EEG Signal for Epilepsy Detection: A Review
Other Titles: (in) Journal of Environmental Science, Computer Science and Engineering & Technology
Authors: Banerjee, Madhurima
Chowdhury, Ranjita
Bandyopadhyay, Samir Kumar
Keywords: EEG
Adaptive filter
ICA
Epilepsy
Entropy
Nearest Neighbor
Pattern Recognition
Issue Date: May-2016
Publisher: www.jecet.org
Series/Report no.: Vol. 5;No. 2
Abstract: EEG (electroencephalogram) is used for capturing the impulses following through the brain. The signals are recorded to check any abnormalities in working of the brain. The impulses so recorded can be contaminated with noise which needs to be filtered to get the actual brain signal. Normal brain signals differ much from abnormal brain signals. The cleansed signal so obtain can check for various brain disorders, epilepsy being one of them. The paper is an overview of how EEG works and the filtering process and reviews few algorithms that are being used to detect epilepsy.
URI: http://172.16.0.4:8085/heritage/handle/123456789/2524
ISSN: 2278-179X
Appears in Collections:BCA

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