Evidence map›Paper›PMID 37493930›Full record

ArticlePhysical and engineering sciences in medicine2023

Simulation of passive exotendon assistive device for agricultural harvesting task.

Yon Sin Chan, Yu Xuan Teo, Darwin Gouwanda, Surya Girinatha Nurzaman, Alpha Agape Gopalai

Open access · hybridAbstract read
In one paragraph

Article in Physical and engineering sciences in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 55% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

5 authors at 1 institution in 1 country.

Yon Sin ChanSchool of Engineering, Monash University Malaysia, Subang Jaya, Selangor, Malaysia.ORCID http://orcid.org/0000-0001-7030-9300
Yu Xuan TeoSchool of Engineering, Monash University Malaysia, Subang Jaya, Selangor, Malaysia.
Darwin GouwandaSchool of Engineering, Monash University Malaysia & Monash Industry Palm Oil Research Platform, Jalan Lagoon Selatan, Bandar Sunway, 47500 , Subang Jaya, Selangor, Malaysia. darwin.gouwanda@monash.edu.
Surya Girinatha NurzamanSchool of Engineering, Monash University Malaysia & Monash Industry Palm Oil Research Platform, Jalan Lagoon Selatan, Bandar Sunway, 47500 , Subang Jaya, Selangor, Malaysia.
Alpha Agape GopalaiSchool of Engineering, Monash University Malaysia & Monash Industry Palm Oil Research Platform, Jalan Lagoon Selatan, Bandar Sunway, 47500 , Subang Jaya, Selangor, Malaysia.
Monash University Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study proposes and investigates the feasibility of the passive assistive device to assist agricultural harvesting task and reduce the Musculoskeletal Disorder (MSD) risk of harvesters using computational musculoskeletal modelling and simulations. Several passive assistive devices comprised of elastic exotendon, which acts in parallel with different back muscles (rectus abdominis, longissimus, and iliocostalis), were designed and modelled. These passive assistive devices were integrated individually into the musculoskeletal model to provide passive support for the harvesting task. The muscle activation, muscle force, and joint moment were computed with biomechanical simulations for unassisted and assisted motions. The simulation results demonstrated that passive assistive devices reduced muscle activation, muscle force, and joint moment, particularly when the devices were attached to the iliocostalis and rectus abdominis. It was also discovered that assisting the longissimus muscle can alleviate the workload by distributing a portion of it to the rectus abdominis. The findings in this study support the feasibility of adopting passive assistive devices to reduce the MSD risk of the harvesters during agricultural harvesting. These findings can provide valuable insights to the engineers and designers of physical assistive devices on which muscle(s) to assist during agricultural harvesting.

Indexed as

Back MusclesSelf-Help DevicesComputer SimulationMechanical PhenomenaRectus AbdominisAgricultural harvestingAssistive deviceBack musclesMusculoskeletal simulationPassive exoskeleton

Identifiers

PMID37493930
PMCPMC10703985
OpenAlexW4385264854

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.