EEG channel selection using metaheuristic algorithms in alcoholism detection using optimal wavelet transform

Abstract Alcoholism, habitual and excessive intake of alcoholic beverages, presents a significant disorder that challenges contemporary society; however, alcoholism detection lacks universally acknowledged examinations or protocols. Traditional subjective methods are time-consuming and prone to erro...

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Autori principali:	Digambar V. Puri, Pramod Kachare, Sandeep Sangle, Surendra Solanki, Deepak Panwar
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2026-05-01
Serie:	Scientific Reports
Soggetti:	Alcoholism Discrete wavelet transform Electroencephalogram Filter banks Halfband filter Support vector machine
Accesso online:	https://doi.org/10.1038/s41598-026-49177-9
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