Detection of diseases based on electrocardiography and electroencephalography signals embedded in different devices: an exploratory study

Detalhes bibliográficos
Autor(a) principal: Ponciano, Vasco
Data de Publicação: 2020
Outros Autores: Pires, Ivan, Ribeiro, Fernando Reinaldo, Villasana, Maria, Garcia, Nuno, Leithardt, Valderi
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.11/7084
Resumo: Nowadays, cardiac and brain disorders are dispersed over the world, where an early detection allows the treatment and prevention of other related healthcare problems. Technologically, this detection is difficult to perform, and the use of technology and artificial intelligence techniques may automate the accurate detection of different diseases. This paper presents the research on the different techniques and parameters for the detection of diseases related to Electrocardiography (ECG) and Electroencephalography (EEG) signals. Previously experiments related to the performance of the Timed-Up and Go test with elderly people acquired different signals from people with different diseases. This study identifies different parameters and methods that may be used for the identification of different diseases based on the acquired data.
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spelling Detection of diseases based on electrocardiography and electroencephalography signals embedded in different devices: an exploratory studyDetecção de doenças baseadas em sinais de eletrocardiografia e eletroencefalografia incorporados em diferentes dispositivos: um estudo exploratórioElderly peopleDiseasesElectrocardiographyElectroencephalographyArtificial intelligenceNowadays, cardiac and brain disorders are dispersed over the world, where an early detection allows the treatment and prevention of other related healthcare problems. Technologically, this detection is difficult to perform, and the use of technology and artificial intelligence techniques may automate the accurate detection of different diseases. This paper presents the research on the different techniques and parameters for the detection of diseases related to Electrocardiography (ECG) and Electroencephalography (EEG) signals. Previously experiments related to the performance of the Timed-Up and Go test with elderly people acquired different signals from people with different diseases. This study identifies different parameters and methods that may be used for the identification of different diseases based on the acquired data.Repositório Científico do Instituto Politécnico de Castelo BrancoPonciano, VascoPires, IvanRibeiro, Fernando ReinaldoVillasana, MariaGarcia, NunoLeithardt, Valderi2020-05-14T12:26:24Z2020-052020-05-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.11/7084porPONCIANO, V. [et al.] (2020) - Detection of diseases based on electrocardiography and electroencephalography signals embedded in different devices: an exploratory study. Brazilian Journal of Development. ISSN 2525-8761. Vol. 6, nº 5, p. 27212-27231. Doi: 10.34117/bjdv6n5-2472525-876110.34117/bjdv6n5-247info: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:RCAAP2023-01-16T11:47:20Zoai:repositorio.ipcb.pt:10400.11/7084Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:37:40.846760Repositório 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 Detection of diseases based on electrocardiography and electroencephalography signals embedded in different devices: an exploratory study
Detecção de doenças baseadas em sinais de eletrocardiografia e eletroencefalografia incorporados em diferentes dispositivos: um estudo exploratório
title Detection of diseases based on electrocardiography and electroencephalography signals embedded in different devices: an exploratory study
spellingShingle Detection of diseases based on electrocardiography and electroencephalography signals embedded in different devices: an exploratory study
Ponciano, Vasco
Elderly people
Diseases
Electrocardiography
Electroencephalography
Artificial intelligence
title_short Detection of diseases based on electrocardiography and electroencephalography signals embedded in different devices: an exploratory study
title_full Detection of diseases based on electrocardiography and electroencephalography signals embedded in different devices: an exploratory study
title_fullStr Detection of diseases based on electrocardiography and electroencephalography signals embedded in different devices: an exploratory study
title_full_unstemmed Detection of diseases based on electrocardiography and electroencephalography signals embedded in different devices: an exploratory study
title_sort Detection of diseases based on electrocardiography and electroencephalography signals embedded in different devices: an exploratory study
author Ponciano, Vasco
author_facet Ponciano, Vasco
Pires, Ivan
Ribeiro, Fernando Reinaldo
Villasana, Maria
Garcia, Nuno
Leithardt, Valderi
author_role author
author2 Pires, Ivan
Ribeiro, Fernando Reinaldo
Villasana, Maria
Garcia, Nuno
Leithardt, Valderi
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico de Castelo Branco
dc.contributor.author.fl_str_mv Ponciano, Vasco
Pires, Ivan
Ribeiro, Fernando Reinaldo
Villasana, Maria
Garcia, Nuno
Leithardt, Valderi
dc.subject.por.fl_str_mv Elderly people
Diseases
Electrocardiography
Electroencephalography
Artificial intelligence
topic Elderly people
Diseases
Electrocardiography
Electroencephalography
Artificial intelligence
description Nowadays, cardiac and brain disorders are dispersed over the world, where an early detection allows the treatment and prevention of other related healthcare problems. Technologically, this detection is difficult to perform, and the use of technology and artificial intelligence techniques may automate the accurate detection of different diseases. This paper presents the research on the different techniques and parameters for the detection of diseases related to Electrocardiography (ECG) and Electroencephalography (EEG) signals. Previously experiments related to the performance of the Timed-Up and Go test with elderly people acquired different signals from people with different diseases. This study identifies different parameters and methods that may be used for the identification of different diseases based on the acquired data.
publishDate 2020
dc.date.none.fl_str_mv 2020-05-14T12:26:24Z
2020-05
2020-05-01T00:00:00Z
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/10400.11/7084
url http://hdl.handle.net/10400.11/7084
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv PONCIANO, V. [et al.] (2020) - Detection of diseases based on electrocardiography and electroencephalography signals embedded in different devices: an exploratory study. Brazilian Journal of Development. ISSN 2525-8761. Vol. 6, nº 5, p. 27212-27231. Doi: 10.34117/bjdv6n5-247
2525-8761
10.34117/bjdv6n5-247
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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