Screening for chronic alcoholic subjects using multiple gamma band EEG: a pilot study

Electrophysiological impairments of alcoholism have been researched extensively. However, there is none or few reported research on screening methods for chronic alcoholic subjects. Since chronic alcoholics have serious brain dysfunction, a method to screen for them during specific job applications...

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Autor principal: Palaniappan, Ramaswamy
Formato: Articulo
Lenguaje:Inglés
Publicado: 2007
Materias:
Ciencias Informáticas
Electroencefalografía
Neural nets
gamma band energy
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/9552
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr07-9.pdf
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SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-9552
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Electroencefalografía
Neural nets
gamma band energy
spellingShingle Ciencias Informáticas
Electroencefalografía
Neural nets
gamma band energy
Palaniappan, Ramaswamy
Screening for chronic alcoholic subjects using multiple gamma band EEG: a pilot study
topic_facet Ciencias Informáticas
Electroencefalografía
Neural nets
gamma band energy
description Electrophysiological impairments of alcoholism have been researched extensively. However, there is none or few reported research on screening methods for chronic alcoholic subjects. Since chronic alcoholics have serious brain dysfunction, a method to screen for them during specific job applications that require good memory, concentration and/or decision making would be useful. In this paper, a method is proposed to discriminate chronic alcoholic from non-alcoholic subjects while they are sober. Energies of electroencephalogram signals in multiple gamma bands recorded while the subjects performed a picture recognition task are used as features by a neural network to detect the chronic alcoholic subjects. Leave one out cross validation strategy reveals that alcoholics could be discriminated from non-alcoholics with accuracy of 94.55%. This pilot study has shown the potential of the method which could be further developed for use in automatic alcoholic screening procedures.
format Articulo
Articulo
author Palaniappan, Ramaswamy
author_facet Palaniappan, Ramaswamy
author_sort Palaniappan, Ramaswamy
title Screening for chronic alcoholic subjects using multiple gamma band EEG: a pilot study
title_short Screening for chronic alcoholic subjects using multiple gamma band EEG: a pilot study
title_full Screening for chronic alcoholic subjects using multiple gamma band EEG: a pilot study
title_fullStr Screening for chronic alcoholic subjects using multiple gamma band EEG: a pilot study
title_full_unstemmed Screening for chronic alcoholic subjects using multiple gamma band EEG: a pilot study
title_sort screening for chronic alcoholic subjects using multiple gamma band eeg: a pilot study
publishDate 2007
url http://sedici.unlp.edu.ar/handle/10915/9552
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr07-9.pdf
work_keys_str_mv AT palaniappanramaswamy screeningforchronicalcoholicsubjectsusingmultiplegammabandeegapilotstudy
bdutipo_str Repositorios
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