Evidence map›Paper›PMID 37204270›Full record

ArticleErgonomics2024

Flexible sensor-based biomechanical evaluation of low-back exoskeleton use in lifting.

Wei Yin, Yinong Chen, Curran Reddy, Liying Zheng, Ranjana K Mehta, Xudong Zhang

Open access · greenAbstract read
In one paragraph

Article in Ergonomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

6 authors at 2 institutions in 1 country.

Wei YinDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA.ORCID 0000-0003-4773-7950
Yinong ChenDepartment of Mechanical Engineering, Texas A&M University, College Station, TX, USA.
Curran ReddyDepartment of Biomedical Engineering, Texas A&M University, College Station, TX, USA.
Liying ZhengHealth Effects Laboratory Division, National Institute for Occupational Safety and Health, Morgantown, WV, USA.
Ranjana K MehtaDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA.
Xudong ZhangDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA.
Texas A&M University · USNational Institute for Occupational Safety and Health · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

This study aimed to establish an ambulatory field-friendly system based on miniaturised wireless flexible sensors for studying the biomechanics of human-exoskeleton interactions. Twelve healthy adults performed symmetric lifting with and without a passive low-back exoskeleton, while their movements were tracked using both a flexible sensor system and a conventional motion capture (MoCap) system synchronously. Novel algorithms were developed to convert the raw acceleration, gyroscope, and biopotential signals from the flexible sensors into kinematic and dynamic measures. Results showed that these measures were highly correlated with those obtained from the MoCap system and discerned the effects of the exoskeleton, including increased peak lumbar flexion, decreased peak hip flexion, and decreased lumbar flexion moment and back muscle activities. The study demonstrated the promise of an integrated flexible sensor-based system for biomechanics and ergonomics field studies as well as the efficacy of exoskeleton in relieving the low-back stress associated with manual lifting.

Indexed as

Back MusclesExoskeleton DeviceOrganothiophosphatesAdultBiomechanical PhenomenaElectromyographyHumansLiftingMuscle, SkeletalethopropOrganothiophosphatesFlexible sensorshuman-exoskeleton interactionliftinglow-back exoskeleton

Identifiers

PMID37204270
PMCPMC11519950
OpenAlexW4377093692

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.