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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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