Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/143304
Título: Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive Work
Autor: Silva, Luís
Dias, Mariana
Folgado, Duarte
Nunes, Maria
Namburi, Praneeth
Anthony, Brian
Carvalho, Diogo
Carvalho, Miguel
Edelman, Elazer
Gamboa, Hugo
Palavras-chave: 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
Data: 2-Jun-2022
Citação: Silva, L., Dias, M., Folgado, D., Nunes, M., Namburi, P., Anthony, B., Carvalho, D., Carvalho, M., Edelman, E., & Gamboa, H. (2022). Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive Work. Sensors, 22(11), Article 4247. https://doi.org/10.3390/s22114247
Resumo: 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.
Descrição: 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.
Peer review: yes
URI: http://hdl.handle.net/10362/143304
DOI: https://doi.org/10.3390/s22114247
ISSN: 1424-8220
Aparece nas colecções:FCT: DF - Artigos em revista internacional com arbitragem científica

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