Evidence map›Paper›PMID 39753142›Full record

ArticleHuman factors2025

Biodynamic Modeling and Analysis of Human-Exoskeleton Interactions in Simulated Patient Handling Tasks.

Yinong Chen, Wei Yin, Liying Zheng, Ranjana Mehta, Xudong Zhang

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Article in Human factors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yinong ChenTexas A&M University, USA.
Wei YinTexas A&M University, USA.
Liying ZhengNational Institute for Occupational Safety and Health, USA.
Ranjana MehtaUniversity of Wisconsin-Madison, USA.
Xudong ZhangTexas A&M University, USA.ORCID 0000-0002-7976-2045

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveTo investigate the biodynamics of human-exoskeleton interactions during patient handling tasks using a subject-specific modeling approach.BackgroundExoskeleton technology holds promise for mitigating musculoskeletal disorders caused by manual handling and most alarmingly by patient handling jobs. A deeper, more unified understanding of the biomechanical effects of exoskeleton use calls for advanced subject-specific models of complex, dynamic human-exoskeleton interactions.MethodsTwelve sex-balanced healthy participants performed three simulated patient handling tasks along with a reference load-lifting task, with and without wearing the exoskeleton, while their full-body motion and ground reaction forces were measured. Subject-specific models were constructed using motion and force data. Biodynamic response variables derived from the models were analyzed to examine the effects of the exoskeleton. Model validation used load-lifting trials with known hand forces.ResultsThe use of exoskeleton significantly reduced (19.7%-27.2%) the peak lumbar flexion moment but increased (26.4%-47.8%) the peak lumbar flexion motion, with greater moment percent reduction in more symmetric handling tasks; similarly affected the shoulder joint moments and motions but only during two more symmetric handling tasks; and significantly reduced the peak motions for the rest of the body joints.ConclusionSubject-specific biodynamic models simulating exoskeleton-assisted patient handling were constructed and validated, demonstrating that the exoskeleton effectively lessened the peak loading to the lumbar and shoulder joints as prime movers while redistributing more motions to these joints and less to the remaining joints.ApplicationThe findings offer new insights into biodynamic responses during exoskeleton-assisted patient handling, benefiting the development of more effective, possibly task- and individual-customized, exoskeletons.

Indexed as

Exoskeleton DeviceModels, BiologicalMoving and Lifting PatientsAdultBiomechanical PhenomenaErgonomicsFemaleHumansLiftingMaleTask Performance and AnalysisYoung Adulthuman-exoskeleton interactionmusculoskeletal disorderspatient handlingsubject-specific biodynamic modeling

Identifiers

PMID39753142
PMCPMC12127603

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.