Evidence map›Paper›PMID 35805747›Full record

ArticleInternational journal of environmental research and public health2022

Ergonomic Assessment of a Lower-Limb Exoskeleton through Electromyography and Anybody Modeling System.

Yong-Ku Kong, Kyeong-Hee Choi, Min-Uk Cho, Seoung-Yoen Kim, Min-Jung Kim, Jin-Woo Shim, Sang-Soo Park, Kyung-Ran Kim, Min-Tae Seo, Hye-Seon Chae and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 12% of its field
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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Development of a New Procedure for Evaluating Working Postures: An Application in a Manufacturing Company.International journal of environmental research and public health · 2022
    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

11 authors at 2 institutions in 1 country.

Yong-Ku KongDepartment of Industrial Engineering, Sungkyunkwan University, Suwon 16419, Korea.ORCID 0000-0003-3208-6817
Kyeong-Hee ChoiDepartment of Industrial Engineering, Sungkyunkwan University, Suwon 16419, Korea.
Min-Uk ChoDepartment of Industrial Engineering, Sungkyunkwan University, Suwon 16419, Korea.
Seoung-Yoen KimDepartment of Industrial Engineering, Sungkyunkwan University, Suwon 16419, Korea.
Min-Jung KimDepartment of Industrial Engineering, Sungkyunkwan University, Suwon 16419, Korea.
Jin-Woo ShimDepartment of Industrial Engineering, Sungkyunkwan University, Suwon 16419, Korea.
Sang-Soo ParkDepartment of Industrial Engineering, Sungkyunkwan University, Suwon 16419, Korea.
Kyung-Ran KimNational Institute of Agricultural Sciences, Rural Development Administration, Jeonju-si 54875, Korea.
Min-Tae SeoNational Institute of Agricultural Sciences, Rural Development Administration, Jeonju-si 54875, Korea.
Hye-Seon ChaeNational Institute of Agricultural Sciences, Rural Development Administration, Jeonju-si 54875, Korea.
Hyun-Ho ShimDepartment of Industrial Engineering, Sungkyunkwan University, Suwon 16419, Korea.
Sungkyunkwan University · KRRural Development Administration · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to determine the muscle load reduction of the upper extremities and lower extremities associated with wearing an exoskeleton, based on analyses of muscle activity (electromyography: EMG) and the AnyBody Modeling System (AMS). Twenty healthy males in their twenties participated in this study, performing bolting tasks at two working heights (60 and 85 cm). The muscle activities of the upper trapezius (UT), middle deltoid (MD), triceps brachii (TB), biceps brachii (BB), erector spinae (ES), biceps femoris (BF), rectus femoris (RF), and tibialis anterior (TA) were measured by EMG and estimated by AMS, respectively. When working at the 60 cm height with the exoskeleton, the lower extremity muscle (BF, RF, TA) activities of EMG and AMS decreased. When working at the 85 cm height, the lower extremity muscle activity of EMG decreased except for TA, and those of AMS decreased except for RF. The muscle activities analyzed by the two methods showed similar patterns, in that wearing the exoskeleton reduced loads of the lower extremity muscles. Therefore, wearing an exoskeleton can be recommended to prevent an injury. As the results of the two methods show a similar tendency, the AMS can be used.

Indexed as

Exoskeleton DeviceSuperficial Back MusclesElectromyographyErgonomicsHumansLower ExtremityMaleMuscle, SkeletalAnyBody Modeling SystemCEXdrilling tasklower-limb exoskeletonworking heightwork-related musculoskeletal disorders

Identifiers

PMID35805747
PMCPMC9265844
OpenAlexW4283780833

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.