Abstract
Alcoholism is a socio-economical syndrome in which human being may lose his/her health and wealth. The paper reports a novel approach for the rapid detection of alcoholism using Electroencephalogram (EEG) sensor. The proposed method employs absolute gamma band power used as a feature and ensemble subspace K-NN used as a classifier to categorize alcoholics and normal subject. Furthermore, an Improved Binary Gravitational Search Algorithm (IBGSA) is reported as an optimization tool to select the optimum EEG channels for the rapid screening of alcoholism. The results obtained by the proposed method are compared with the optimization algorithms like a genetic algorithm (GA), binary particle swarm optimization (BPSO), and binary gravitational search algorithm (BGSA). Fitness function for these optimization algorithms is evaluated using accuracy obtained from ensemble subspace K-NN classifier. The proposed IBGSA methodology provides a detection accuracy of 92.50% with only 13 EEG channels. Thus, it is the best candidate to bridge the trade-off of detection accuracy and the number of channels used for detection.
Highlights
Alcoholism is a phenomenon arising due to the habitual and excessive consumption of alcoholic beverages by an individual
In the Improved Binary Gravitational Search Algorithm (IBGSA) method, we proposed to use the transfer function in Eq 13
Absolute gamma band power is extracted from each band for alcoholic as well as a control subject
Summary
Alcoholism is a phenomenon arising due to the habitual and excessive consumption of alcoholic beverages by an individual. The chronic consumption of alcohol develops its dependency on the individuals and leads to alcohol abuse and even to death. The World Health Organization (WHO) study report states that approximately 2 billion people across the world drink alcoholic beverages and out of them, 76.3 million have alcohol dependency syndrome. 58.3 million people (4.8% of total) are suffering from disability-adjusted life, and 1.8 million deaths (3.2% of total deaths) are caused due to alcoholism [1]. Considering the severity of the alcoholic syndrome, it is the need of the hour to device a cost-effective, accurate and reliable mechanism to differentiate between alcoholic and non-alcoholic individuals
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
