Please use this identifier to cite or link to this item: http://localhost:80/xmlui/handle/123456789/2524
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dc.contributor.authorBanerjee, Madhurima-
dc.contributor.authorChowdhury, Ranjita-
dc.contributor.authorBandyopadhyay, Samir Kumar-
dc.date.accessioned2018-10-05T05:56:51Z-
dc.date.available2018-10-05T05:56:51Z-
dc.date.issued2016-05-
dc.identifier.issn2278-179X-
dc.identifier.urihttp://172.16.0.4:8085/heritage/handle/123456789/2524-
dc.description.abstractEEG (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.en_US
dc.language.isoenen_US
dc.publisherwww.jecet.orgen_US
dc.relation.ispartofseriesVol. 5;No. 2-
dc.subjectEEGen_US
dc.subjectAdaptive filteren_US
dc.subjectICAen_US
dc.subjectEpilepsyen_US
dc.subjectEntropyen_US
dc.subjectNearest Neighboren_US
dc.subjectPattern Recognitionen_US
dc.titleEEG Signal for Epilepsy Detection: A Reviewen_US
dc.title.alternative(in) Journal of Environmental Science, Computer Science and Engineering & Technologyen_US
dc.typeArticleen_US
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