Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive Work

Luís Silva, Mariana Dias, Duarte Folgado, Maria Nunes, Praneeth Namburi, Brian Anthony, Diogo Carvalho, Miguel Carvalho, Elazer Edelman, Hugo Gamboa

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
5 Downloads (Pure)

Abstract

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.

Original languageEnglish
Article number4247
Number of pages19
JournalSensors
Volume22
Issue number11
DOIs
Publication statusPublished - 2 Jun 2022

Keywords

  • EMG
  • fatigue
  • industry 4.0
  • occupational risk
  • operator 4.0
  • RIP
  • work

Fingerprint

Dive into the research topics of 'Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive Work'. Together they form a unique fingerprint.

Cite this