A novel approach to quantify the assistive torque profiles generated by passive back-support exoskeletons

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dc.contributor.authorMadinei, Samanen
dc.contributor.authorKim, Sunwooken
dc.contributor.authorPark, Jang-Hoen
dc.contributor.authorSrinivasan, Divyaen
dc.contributor.authorNussbaum, Maury A.en
dc.date.accessioned2022-11-14T14:10:37Zen
dc.date.available2022-11-14T14:10:37Zen
dc.date.issued2022-10-31en
dc.date.updated2022-11-12T16:23:11Zen
dc.description.abstractIndustrial exoskeletons are a promising ergonomic intervention to reduce the risk of work-related musculoskeletal disorders by providing external physical support to workers. Passive exoskeletons, having no power supplies, are of particular interest given their predominance in the commercial market. Understanding the mechanical behavior of the torque generation mechanisms embedded in passive exoskeletons is, however, essential to determine the efficacy of these devices in reducing physical loads (e.g., in manual material handling tasks). We introduce a novel approach using a computerized dynamometer to quantify the assistive torque profiles of two passive back-support exoskeletons (BSEs) at different support settings and in both static and dynamic conditions. The feasibility of this approach was examined using both human subjects and a mannequin. Clear differences in assistive torque magnitudes were evident between the two BSEs, and both devices generated more assistive torques during trunk/hip flexion than extension. Assistive torques obtained from human subjects were often within similar ranges as those from the mannequin, though values were more comparable over a narrow range of flexion/extension angles due to practical limitations with the dynamometer and human subjects. Characterizing exoskeleton assistive torque profiles can help in better understanding how to select a torque profile for given task requirements and user anthropometry, and aid in predicting the potential impacts of exoskeleton use by incorporating measured torque profiles in a musculoskeletal modeling system. Future work is recommended to assess this approach for other occupational exoskeletons.en
dc.description.versionAccepted versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1016/j.jbiomech.2022.111363en
dc.identifier.eissn1873-2380en
dc.identifier.issn0021-9290en
dc.identifier.orcidNussbaum, Maury [0000-0002-1887-8431]en
dc.identifier.otherS0021-9290(22)00404-3 (PII)en
dc.identifier.pmid36332510en
dc.identifier.urihttp://hdl.handle.net/10919/112582en
dc.identifier.volume145en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urihttps://www.ncbi.nlm.nih.gov/pubmed/36332510en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectBiomechanicsen
dc.subjectMusculoskeletal modelingen
dc.subjectStiffnessen
dc.subjectWearable technologyen
dc.titleA novel approach to quantify the assistive torque profiles generated by passive back-support exoskeletonsen
dc.title.serialJournal of Biomechanicsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherJournal Articleen
dcterms.dateAccepted2022-10-26en
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/Industrial and Systems Engineeringen
pubs.organisational-group/Virginia Tech/Faculty of Health Sciencesen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Engineering/COE T&R Facultyen

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