Web-based Platform for Training in Biomedical Signal Processing and Classification: the Particular Case of EEG-based Drowsiness Detection

Detalhes bibliográficos
Autor(a) principal: Ribeiro, Daniel
Data de Publicação: 2018
Outros Autores: Teixeira, César, Cardoso, Alberto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/101903
https://doi.org/10.3991/ijoe.v14i03.8193
Resumo: Online Experimentation, which comprises remote and virtual experimentation, has played an important role, over the years, in the development of the students learning process. One of its examples is the use of webbased resources to study physiological events in topics of biomedical engineering. This article discusses the use of a virtual experimentation environment as a training tool for studying different methodologies that can be applied to detect drowsiness based on electroencephalogram (EEG) signals. As a result of this web-based platform, students can be more motivated to learn different methods that can be used in the processing and analysis of physiological data. As a final result, it can even be used to create a real-time detector for drowsiness, thus preventing the occurrence of road accidents.
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spelling Web-based Platform for Training in Biomedical Signal Processing and Classification: the Particular Case of EEG-based Drowsiness DetectionDrowsinessElectroencephalogram (EEG)Web-based resourcesOnline experimentationOnline Experimentation, which comprises remote and virtual experimentation, has played an important role, over the years, in the development of the students learning process. One of its examples is the use of webbased resources to study physiological events in topics of biomedical engineering. This article discusses the use of a virtual experimentation environment as a training tool for studying different methodologies that can be applied to detect drowsiness based on electroencephalogram (EEG) signals. As a result of this web-based platform, students can be more motivated to learn different methods that can be used in the processing and analysis of physiological data. As a final result, it can even be used to create a real-time detector for drowsiness, thus preventing the occurrence of road accidents.2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/101903http://hdl.handle.net/10316/101903https://doi.org/10.3991/ijoe.v14i03.8193eng1861-21211868-1646Ribeiro, DanielTeixeira, CésarCardoso, Albertoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-09-21T20:40:10Zoai:estudogeral.uc.pt:10316/101903Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:18:59.809394Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Web-based Platform for Training in Biomedical Signal Processing and Classification: the Particular Case of EEG-based Drowsiness Detection
title Web-based Platform for Training in Biomedical Signal Processing and Classification: the Particular Case of EEG-based Drowsiness Detection
spellingShingle Web-based Platform for Training in Biomedical Signal Processing and Classification: the Particular Case of EEG-based Drowsiness Detection
Ribeiro, Daniel
Drowsiness
Electroencephalogram (EEG)
Web-based resources
Online experimentation
title_short Web-based Platform for Training in Biomedical Signal Processing and Classification: the Particular Case of EEG-based Drowsiness Detection
title_full Web-based Platform for Training in Biomedical Signal Processing and Classification: the Particular Case of EEG-based Drowsiness Detection
title_fullStr Web-based Platform for Training in Biomedical Signal Processing and Classification: the Particular Case of EEG-based Drowsiness Detection
title_full_unstemmed Web-based Platform for Training in Biomedical Signal Processing and Classification: the Particular Case of EEG-based Drowsiness Detection
title_sort Web-based Platform for Training in Biomedical Signal Processing and Classification: the Particular Case of EEG-based Drowsiness Detection
author Ribeiro, Daniel
author_facet Ribeiro, Daniel
Teixeira, César
Cardoso, Alberto
author_role author
author2 Teixeira, César
Cardoso, Alberto
author2_role author
author
dc.contributor.author.fl_str_mv Ribeiro, Daniel
Teixeira, César
Cardoso, Alberto
dc.subject.por.fl_str_mv Drowsiness
Electroencephalogram (EEG)
Web-based resources
Online experimentation
topic Drowsiness
Electroencephalogram (EEG)
Web-based resources
Online experimentation
description Online Experimentation, which comprises remote and virtual experimentation, has played an important role, over the years, in the development of the students learning process. One of its examples is the use of webbased resources to study physiological events in topics of biomedical engineering. This article discusses the use of a virtual experimentation environment as a training tool for studying different methodologies that can be applied to detect drowsiness based on electroencephalogram (EEG) signals. As a result of this web-based platform, students can be more motivated to learn different methods that can be used in the processing and analysis of physiological data. As a final result, it can even be used to create a real-time detector for drowsiness, thus preventing the occurrence of road accidents.
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/101903
http://hdl.handle.net/10316/101903
https://doi.org/10.3991/ijoe.v14i03.8193
url http://hdl.handle.net/10316/101903
https://doi.org/10.3991/ijoe.v14i03.8193
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1861-2121
1868-1646
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eu_rights_str_mv openAccess
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instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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