Automated Identification of Chronic Alcoholism from Brain Signals

Kumar S; Ghosh S; Sinha RK

Online Journal of Health & Allied Sciences (Jan 2016)

Automated Identification of Chronic Alcoholism from Brain Signals

Kumar S,
Ghosh S,
Sinha RK

Affiliations

Kumar S: Department of Bio-Engineering, Birla Institute of Technology, Mesra, Ranchi-835215, Jharkhand
Ghosh S: Department of Electrical Engineering, National Institute of Technology, Raipur-492010
Sinha RK: Department of Bio-Engineering, Birla Institute of Technology, Mesra, Ranchi-835215, Jharkhand

Journal volume & issue: Vol. 14, no. 4

Abstract

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The present work has used the EEG collected from alcoholic subjects, and controls. The results suggest that EEG has sufficient information for development of a non-invasive online diagnostic tool for chronic alcoholism.

Published in Online Journal of Health & Allied Sciences

ISSN: 0972-5997 (Online)
Publisher: Light House Polyclinic Mangalore
Country of publisher: India
LCC subjects: Medicine
Website: http://www.ojhas.org/

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