An approach to assess quality of life through biometric monitoring in cancer patients
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/68024 |
Resumo: | Cancer is a serious disease that causes significant disability and suffering, so naturally Health Related Quality of Life (HRQoL) is a major concern of patients, families and clinicians. This paper intends to relate biometric indices, in terms of HRV metrics, with self-perceived HRQoL from patients with lymphoma. Patients (N = 12) answered FACT questionnaire and used a smartband that collected biometrical data in real-time along the chemotherapy treatment. Our results revealed that Physical Well-Being, Total, Lymphoma subscale and FACT-Lym Trial Outcome domains seem to have a similar pattern that HRV metrics across the treatment cycles. In specific, the FACT domains and the HRV metrics have the lowest average levels on the first cycle and seem to increase along the following cycles (3rd and 6th cycles). This approach of continuous assessment of HRQoL will enable a better accuracy and more supported clinical decision. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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An approach to assess quality of life through biometric monitoring in cancer patientsHealth-related quality of lifeHaemato-oncological diseasesSelf-reported measuresPhysiological dataWearable technologyHeart Rate VariabilityEngenharia e Tecnologia::Outras Engenharias e TecnologiasCancer is a serious disease that causes significant disability and suffering, so naturally Health Related Quality of Life (HRQoL) is a major concern of patients, families and clinicians. This paper intends to relate biometric indices, in terms of HRV metrics, with self-perceived HRQoL from patients with lymphoma. Patients (N = 12) answered FACT questionnaire and used a smartband that collected biometrical data in real-time along the chemotherapy treatment. Our results revealed that Physical Well-Being, Total, Lymphoma subscale and FACT-Lym Trial Outcome domains seem to have a similar pattern that HRV metrics across the treatment cycles. In specific, the FACT domains and the HRV metrics have the lowest average levels on the first cycle and seem to increase along the following cycles (3rd and 6th cycles). This approach of continuous assessment of HRQoL will enable a better accuracy and more supported clinical decision.QVida+: Estimação Contínua de Qualidade de Vida para Auxílio Eficaz à Decisão Clínica, funded by European Structural funds (FEDER-003446), supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020Springer NatureUniversidade do MinhoSilva, ElianaAguiar, Joyce Cristina SantosOliveira, AlexandraFaria, Brígida MónicaReis, Luís PauloCarvalho, VictorGonçalves, JoaquimOliveira e Sá, Jorge20192019-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/68024engSilva E., Aguiar J., Oliveira A., Faria M.B., Reis L.P., Carvalho V., Gonçalves J., & Oliveira e Sá J. (2019) An Approach to Assess Quality of Life Through Biometric Monitoring in Cancer Patients. In: Rocha Á., Adeli H., Reis L., Costanzo S. (eds) New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing, vol 931. Springer, Cham. https://doi.org/10.1007/978-3-030-16184-2_58978-3-030-16183-52194-535710.1007/978-3-030-16184-2_58978-3-030-16184-2https://link.springer.com/chapter/10.1007/978-3-030-16184-2_58info: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:RCAAP2024-05-11T07:24:53Zoai:repositorium.sdum.uminho.pt:1822/68024Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-11T07:24:53Repositório 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 |
An approach to assess quality of life through biometric monitoring in cancer patients |
title |
An approach to assess quality of life through biometric monitoring in cancer patients |
spellingShingle |
An approach to assess quality of life through biometric monitoring in cancer patients Silva, Eliana Health-related quality of life Haemato-oncological diseases Self-reported measures Physiological data Wearable technology Heart Rate Variability Engenharia e Tecnologia::Outras Engenharias e Tecnologias |
title_short |
An approach to assess quality of life through biometric monitoring in cancer patients |
title_full |
An approach to assess quality of life through biometric monitoring in cancer patients |
title_fullStr |
An approach to assess quality of life through biometric monitoring in cancer patients |
title_full_unstemmed |
An approach to assess quality of life through biometric monitoring in cancer patients |
title_sort |
An approach to assess quality of life through biometric monitoring in cancer patients |
author |
Silva, Eliana |
author_facet |
Silva, Eliana Aguiar, Joyce Cristina Santos Oliveira, Alexandra Faria, Brígida Mónica Reis, Luís Paulo Carvalho, Victor Gonçalves, Joaquim Oliveira e Sá, Jorge |
author_role |
author |
author2 |
Aguiar, Joyce Cristina Santos Oliveira, Alexandra Faria, Brígida Mónica Reis, Luís Paulo Carvalho, Victor Gonçalves, Joaquim Oliveira e Sá, Jorge |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Silva, Eliana Aguiar, Joyce Cristina Santos Oliveira, Alexandra Faria, Brígida Mónica Reis, Luís Paulo Carvalho, Victor Gonçalves, Joaquim Oliveira e Sá, Jorge |
dc.subject.por.fl_str_mv |
Health-related quality of life Haemato-oncological diseases Self-reported measures Physiological data Wearable technology Heart Rate Variability Engenharia e Tecnologia::Outras Engenharias e Tecnologias |
topic |
Health-related quality of life Haemato-oncological diseases Self-reported measures Physiological data Wearable technology Heart Rate Variability Engenharia e Tecnologia::Outras Engenharias e Tecnologias |
description |
Cancer is a serious disease that causes significant disability and suffering, so naturally Health Related Quality of Life (HRQoL) is a major concern of patients, families and clinicians. This paper intends to relate biometric indices, in terms of HRV metrics, with self-perceived HRQoL from patients with lymphoma. Patients (N = 12) answered FACT questionnaire and used a smartband that collected biometrical data in real-time along the chemotherapy treatment. Our results revealed that Physical Well-Being, Total, Lymphoma subscale and FACT-Lym Trial Outcome domains seem to have a similar pattern that HRV metrics across the treatment cycles. In specific, the FACT domains and the HRV metrics have the lowest average levels on the first cycle and seem to increase along the following cycles (3rd and 6th cycles). This approach of continuous assessment of HRQoL will enable a better accuracy and more supported clinical decision. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 2019-01-01T00:00:00Z |
dc.type.driver.fl_str_mv |
conference paper |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/68024 |
url |
http://hdl.handle.net/1822/68024 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Silva E., Aguiar J., Oliveira A., Faria M.B., Reis L.P., Carvalho V., Gonçalves J., & Oliveira e Sá J. (2019) An Approach to Assess Quality of Life Through Biometric Monitoring in Cancer Patients. In: Rocha Á., Adeli H., Reis L., Costanzo S. (eds) New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing, vol 931. Springer, Cham. https://doi.org/10.1007/978-3-030-16184-2_58 978-3-030-16183-5 2194-5357 10.1007/978-3-030-16184-2_58 978-3-030-16184-2 https://link.springer.com/chapter/10.1007/978-3-030-16184-2_58 |
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.publisher.none.fl_str_mv |
Springer Nature |
publisher.none.fl_str_mv |
Springer Nature |
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 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 |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
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1817545307940978688 |