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dc.contributor.authorSilva, Luís
dc.contributor.authorDias, Mariana
dc.contributor.authorFolgado, Duarte
dc.contributor.authorNunes, Maria
dc.contributor.authorNamburi, Praneeth
dc.contributor.authorAnthony, Brian
dc.contributor.authorCarvalho, Diogo
dc.contributor.authorCarvalho, Miguel
dc.contributor.authorEdelman, Elazer
dc.contributor.authorGamboa, Hugo
dc.date.accessioned2022-06-10T13:36:50Z
dc.date.available2022-06-10T13:36:50Z
dc.date.issued2022-06-02
dc.identifier.urihttps://hdl.handle.net/1721.1/142925
dc.description.abstractCumulative 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 &plusmn; 8.3 yrs; height: 1.72 &plusmn; 0.09 m; mass: 63.4 &plusmn; 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 (<i>p</i> &lt; 0.001) for both RIP correlation and phase synchrony. Similar results were found for the activation amplitude of agonist muscle (<i>p</i> &lt; 0.001), and to the muscle acting mainly as a joint stabilizer (<i>p</i> &lt; 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.en_US
dc.publisherMultidisciplinary Digital Publishing Instituteen_US
dc.relation.isversionofhttp://dx.doi.org/10.3390/s22114247en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.sourceMultidisciplinary Digital Publishing Instituteen_US
dc.titleRespiratory Inductance Plethysmography to Assess Fatigability during Repetitive Worken_US
dc.typeArticleen_US
dc.identifier.citationSensors 22 (11): 4247 (2022)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Science
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-06-09T13:40:48Z
dspace.date.submission2022-06-09T13:40:48Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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