Evidence map›Paper›PMID 36693935›Full record

ArticleScientific reports2023

Muscle coordination and recruitment during squat assistance using a robotic ankle-foot exoskeleton.

Hyeongkeun Jeong, Parian Haghighat, Prakyath Kantharaju, Michael Jacobson, Heejin Jeong, Myunghee Kim

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Hyeongkeun JeongDepartment of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL, 60607, USA.
Parian HaghighatDepartment of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL, 60607, USA.
Prakyath KantharajuDepartment of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL, 60607, USA.
Michael JacobsonDepartment of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL, 60607, USA.
Heejin JeongDepartment of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL, 60607, USA.
Myunghee KimDepartment of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL, 60607, USA. myheekim@uic.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Squatting is an intensive activity routinely performed in the workplace to lift and lower loads. The effort to perform a squat can decrease using an exoskeleton that considers individual worker's differences and assists them with a customized solution, namely, personalized assistance. Designing such an exoskeleton could be improved by understanding how the user's muscle activity changes when assistance is provided. This study investigated the change in the muscle recruitment and activation pattern when personalized assistance was provided. The personalized assistance was provided by an ankle-foot exoskeleton during squatting and we compared its effect with that of the no-device and unpowered exoskeleton conditions using previously collected data. We identified four main muscle recruitment strategies across ten participants. One of the strategies mainly used quadriceps muscles, and the activation level corresponding to the strategy was reduced under exoskeleton assistance compared to the no-device and unpowered conditions. These quadriceps dominant synergy and rectus femoris activations showed reasonable correlations (r = 0.65, 0.59) to the metabolic cost of squatting. These results indicate that the assistance helped reduce quadriceps activation, and thus, the metabolic cost of squatting. These outcomes suggest that the muscle recruitment and activation patterns could be used to design an exoskeleton and training methods.

Indexed as

Exoskeleton DeviceRobotic Surgical ProceduresAnkleAnkle JointBiomechanical PhenomenaElectromyographyGaitHumansMuscle, SkeletalWalking

Identifiers

PMID36693935
PMCPMC9873637

What OpenQuestion holds

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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.