Evidence map›Paper›PMID 41196487›Full record

ArticleAnnals of biomedical engineering2026

Musculoskeletal Modeling of a Hinge-Type Back-Support Exoskeleton: A Simplified Approach for Practical Assessment.

Negar Riahi, Niromand Jasimi Zindashti, Ali Golabchi, Mahdi Tavakoli, Hossein Rouhani

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Article in Annals of biomedical engineering, 2026. 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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Negar RiahiDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.
Niromand Jasimi ZindashtiDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.
Ali GolabchiDepartment of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, Canada.
Mahdi TavakoliDepartment of Electrical & Computer Engineering, University of Alberta, Edmonton, AB, Canada.
Hossein RouhaniDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada. hrouhani@ualberta.ca.ORCID http://orcid.org/0000-0002-4790-9313

Funding

Natural Sciences and Engineering Research Counil of Canada in partnership with Alberta Innovates # ALLRP 567348 - 21
6 · The paper itself

Abstract

To promote the adoption of exoskeletons in industries aiming to prevent work-related musculoskeletal disorders, it is essential to demonstrate their positive impact for specific tasks and users through practical evaluation methods. This study assessed four methods, each with a different level of detail, for modeling the support provided by a hinge-type back-support exoskeleton in OpenSim. Methods 1 and 2 simulated support as a pure torque applied at the hip joint, with Method 1 relying on user kinematics, and Method 2 using exoskeleton movement data to estimate the torque profile. Method 3 estimated supporting force vectors based on user kinematics and exoskeleton configuration, assuming the user's body and the exoskeleton moved together. Method 4 incorporated the movement of the exoskeleton to simulate support as force vectors and was used as the reference for comparison. Results for back muscle activity and L5-S1 joint reaction forces were compared across the four modeling methods using data from fourteen participants performing squatting and stooping tasks with the exoskeleton. Statistical parameter mapping revealed significant differences in L5-S1 joint reaction forces between Methods 1 and 2 compared to Method 4 throughout the exoskeleton engagement period during squatting, and at the peak trunk angle during stooping. In contrast, minimal differences were observed between Method 3 and Method 4. These findings suggest that modeling exoskeleton support as force vectors based on user kinematics (Method 3) provides reasonable accuracy, demonstrating the feasibility of evaluating exoskeleton support with reduced data collection complexity and enabling an efficient assessment process.

Indexed as

Exoskeleton DeviceModels, BiologicalMuscle, SkeletalAdultBiomechanical PhenomenaFemaleHumansMaleBiomechanical modelingExoskeleton adoptionHinge-type back-support exoskeletonsIndustrial exoskeletons

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

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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.