Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive Work

Detalhes bibliográficos
Autor(a) principal: Silva, Luís
Data de Publicação: 2022
Outros Autores: Dias, Mariana, Folgado, Duarte, Nunes, Maria, Namburi, Praneeth, Anthony, Brian, Carvalho, Diogo, Carvalho, Miguel, Edelman, Elazer, Gamboa, Hugo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/143304
Resumo: This work was supported by Project OPERATOR (NORTE01-0247-FEDER-045910), cofinanced by the ERDF—European Regional Development Fund through the North Portugal Regional Operational Program and Lisbon Regional Operational Program and by the Portuguese Foundation for Science and Technology, under the MIT Portugal Program (2019 Open Call for Flagship projects). Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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spelling Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive WorkEMGfatigueindustry 4.0occupational riskoperator 4.0RIPworkAnalytical ChemistryInformation SystemsAtomic and Molecular Physics, and OpticsBiochemistryInstrumentationElectrical and Electronic EngineeringSDG 9 - Industry, Innovation, and InfrastructureThis work was supported by Project OPERATOR (NORTE01-0247-FEDER-045910), cofinanced by the ERDF—European Regional Development Fund through the North Portugal Regional Operational Program and Lisbon Regional Operational Program and by the Portuguese Foundation for Science and Technology, under the MIT Portugal Program (2019 Open Call for Flagship projects). Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.Cumulative fatigue during repetitive work is associated with occupational risk and productivity reduction. Usually, subjective measures or muscle activity are used for a cumulative evaluation; however, Industry 4.0 wearables allow overcoming the challenges observed in those methods. Thus, the aim of this study is to analyze alterations in respiratory inductance plethysmography (RIP) to measure the asynchrony between thorax and abdomen walls during repetitive work and its relationship with local fatigue. A total of 22 healthy participants (age: 27.0 ± 8.3 yrs; height: 1.72 ± 0.09 m; mass: 63.4 ± 12.9 kg) were recruited to perform a task that includes grabbing, moving, and placing a box in an upper and lower shelf. This task was repeated for 10 min in three trials with a fatigue protocol between them. Significant main effects were found from Baseline trial to the Fatigue trials (p < 0.001) for both RIP correlation and phase synchrony. Similar results were found for the activation amplitude of agonist muscle (p < 0.001), and to the muscle acting mainly as a joint stabilizer (p < 0.001). The latter showed a significant effect in predicting both RIP correlation and phase synchronization. Both RIP correlation and phase synchronization can be used for an overall fatigue assessment during repetitive work.LIBPhys-UNLDF – Departamento de FísicaRUNSilva, LuísDias, MarianaFolgado, DuarteNunes, MariaNamburi, PraneethAnthony, BrianCarvalho, DiogoCarvalho, MiguelEdelman, ElazerGamboa, Hugo2022-08-25T22:20:58Z2022-06-022022-06-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article19application/pdfhttp://hdl.handle.net/10362/143304eng1424-8220PURE: 45392060https://doi.org/10.3390/s22114247info: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:RCAAP2024-03-11T05:21:36Zoai:run.unl.pt:10362/143304Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:50:49.320992Repositório 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 Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive Work
title Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive Work
spellingShingle Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive Work
Silva, Luís
EMG
fatigue
industry 4.0
occupational risk
operator 4.0
RIP
work
Analytical Chemistry
Information Systems
Atomic and Molecular Physics, and Optics
Biochemistry
Instrumentation
Electrical and Electronic Engineering
SDG 9 - Industry, Innovation, and Infrastructure
title_short Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive Work
title_full Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive Work
title_fullStr Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive Work
title_full_unstemmed Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive Work
title_sort Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive Work
author Silva, Luís
author_facet Silva, Luís
Dias, Mariana
Folgado, Duarte
Nunes, Maria
Namburi, Praneeth
Anthony, Brian
Carvalho, Diogo
Carvalho, Miguel
Edelman, Elazer
Gamboa, Hugo
author_role author
author2 Dias, Mariana
Folgado, Duarte
Nunes, Maria
Namburi, Praneeth
Anthony, Brian
Carvalho, Diogo
Carvalho, Miguel
Edelman, Elazer
Gamboa, Hugo
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv LIBPhys-UNL
DF – Departamento de Física
RUN
dc.contributor.author.fl_str_mv Silva, Luís
Dias, Mariana
Folgado, Duarte
Nunes, Maria
Namburi, Praneeth
Anthony, Brian
Carvalho, Diogo
Carvalho, Miguel
Edelman, Elazer
Gamboa, Hugo
dc.subject.por.fl_str_mv EMG
fatigue
industry 4.0
occupational risk
operator 4.0
RIP
work
Analytical Chemistry
Information Systems
Atomic and Molecular Physics, and Optics
Biochemistry
Instrumentation
Electrical and Electronic Engineering
SDG 9 - Industry, Innovation, and Infrastructure
topic EMG
fatigue
industry 4.0
occupational risk
operator 4.0
RIP
work
Analytical Chemistry
Information Systems
Atomic and Molecular Physics, and Optics
Biochemistry
Instrumentation
Electrical and Electronic Engineering
SDG 9 - Industry, Innovation, and Infrastructure
description This work was supported by Project OPERATOR (NORTE01-0247-FEDER-045910), cofinanced by the ERDF—European Regional Development Fund through the North Portugal Regional Operational Program and Lisbon Regional Operational Program and by the Portuguese Foundation for Science and Technology, under the MIT Portugal Program (2019 Open Call for Flagship projects). Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
publishDate 2022
dc.date.none.fl_str_mv 2022-08-25T22:20:58Z
2022-06-02
2022-06-02T00:00:00Z
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/10362/143304
url http://hdl.handle.net/10362/143304
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1424-8220
PURE: 45392060
https://doi.org/10.3390/s22114247
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