Evidence map›Paper›PMID 39305855›Full record

ArticleJournal of biomechanics2024

Musculoskeletal models determine the effect of a soft active exosuit on muscle activations and forces during lifting and lowering tasks.

Chenxi Yan, Jacob J Banks, Brett T Allaire, D Adam Quirk, Jinwon Chung, Conor J Walsh, Dennis E Anderson

Abstract read
In one paragraph

Article in Journal of biomechanics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

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

7 authors.

Chenxi YanCenter for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, Boston, MA, United States; Department of Orthopedic Surgery, Harvard Medical School, Boston, MA, United States.
Jacob J BanksCenter for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, Boston, MA, United States; Department of Orthopedic Surgery, Harvard Medical School, Boston, MA, United States.
Brett T AllaireCenter for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, Boston, MA, United States.
D Adam QuirkJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, United States.
Jinwon ChungJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, United States.
Conor J WalshJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, United States.
Dennis E AndersonCenter for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, Boston, MA, United States; Department of Orthopedic Surgery, Harvard Medical School, Boston, MA, United States. Electronic address: danders7@bidmc.harvard.edu.

Funding

Development, Evaluation and Translation of Robotic Apparel for Alleviating Low Back PainUH3AR076731 · NIAMS · HARVARD UNIVERSITY · PI WALSH, CONOR · 2021 to 2021
$2.1M
Development, Evaluation and Translation of Robotic Apparel for Alleviating Low Back PainUH2AR076731 · NIAMS · HARVARD UNIVERSITY · PI WALSH, CONOR · 2019 to 2019
$1.1M
NIAMS NIH HHS UH2 AR076731NIAMS NIH HHS UH3 AR076731
6 · The paper itself

Abstract

Exosuits have the potential to mitigate musculoskeletal stress and prevent back injuries during industrial tasks. This study aimed to 1) validate the implementation of a soft active exosuit into a musculoskeletal model of the spine by comparing model predicted muscle activations versus corresponding surface EMG measurements, and 2) evaluate the effect of the exosuit on peak back and hip muscle forces. Fourteen healthy participants performed squat and stoop lift and lower tasks with boxes of 6 and 10 kg, with and without wearing a 2.7 kg soft active exosuit. Participant-specific musculoskeletal models, which included the exosuit, were created in OpenSim. Model validation focused on the back and hip extensors, where temporal agreement between EMG and model estimated muscle activity was generally strong to excellent (average cross-correlation coefficients ranging from 0.84 to 0.98). Root mean square errors of muscle activity (0.05-0.10) were similar with and without the exosuit, and compared well to prior model validation studies without the exosuit (average root mean square errors ranging from 0.05 to 0.19). In terms of performance, the exosuit reduced the estimated peak erector spinae forces during lifting and lowering phases across all lifting tasks but reduced peak hip extensor muscles forces only in a squat lift task of 10 kg. These reductions in total peak muscle forces were approximately 1.7-4.2 times greater than the corresponding exosuit assistance force, which were 146 ± 19 N and 102 ± 14 N at the times of peak erector spinae forces in lifting and lowering, respectively. Overall, the results support the hypothesis that exosuits reduce soft tissue loading, and thereby potentially reduce fatigue and injury risk during manual materials handling tasks. Incorporating exosuits into musculoskeletal models is a valid approach to understand the impact of exosuit assistance on muscle activity and forces.

Indexed as

ElectromyographyLiftingMuscle, SkeletalAdultBiomechanical PhenomenaExoskeleton DeviceFemaleHipHumansMaleModels, BiologicalYoung AdultBack painErgonomicsManual materials handlingSpine

Identifiers

PMID39305855
PMCPMC11560613

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.