Evidence map›Paper›PMID 35684682›Full record

ArticleSensors (Basel, Switzerland)2022

Assessment of a Passive Lumbar Exoskeleton in Material Manual Handling Tasks under Laboratory Conditions.

Sofía Iranzo, Alicia Piedrabuena, Fernando García-Torres, Jose Luis Martinez-de-Juan, Gema Prats-Boluda, Mercedes Sanchis, Juan-Manuel Belda-Lois

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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.

Sofía IranzoInstituto de Biomecánica de Valencia, Universitat Politècnica de València, 46022 Valencia, Spain.ORCID 0000-0003-2579-7135
Alicia PiedrabuenaInstituto de Biomecánica de Valencia, Universitat Politècnica de València, 46022 Valencia, Spain.ORCID 0000-0001-9014-4363
Fernando García-TorresInstituto de Biomecánica de Valencia, Universitat Politècnica de València, 46022 Valencia, Spain.ORCID 0000-0002-5337-8774
Jose Luis Martinez-de-JuanCentro de Investigación e Innovación en Bioingeniería (Ci2B), Universitat Politècnica de València, 46022 Valencia, Spain.ORCID 0000-0001-9133-3123
Gema Prats-BoludaCentro de Investigación e Innovación en Bioingeniería (Ci2B), Universitat Politècnica de València, 46022 Valencia, Spain.ORCID 0000-0002-9362-5055
Mercedes SanchisInstituto de Biomecánica de Valencia, Universitat Politècnica de València, 46022 Valencia, Spain.ORCID 0000-0003-4043-5925
Juan-Manuel Belda-LoisInstituto de Biomecánica de Valencia, Universitat Politècnica de València, 46022 Valencia, Spain.ORCID 0000-0002-7648-799X

Funding

Fundación Prevent PREVENT_2019/2020
6 · The paper itself

Abstract

Manual material handling tasks in industry cause work-related musculoskeletal disorders. Exoskeletons are being introduced to reduce the risk of musculoskeletal injuries. This study investigated the effect of using a passive lumbar exoskeleton in terms of moderate ergonomic risk. Eight participants were monitored by electromyogram (EMG) and motion capture (MoCap) while performing tasks with and without the lumbar exoskeleton. The results showed a significant reduction in the root mean square (VRMS) for all muscles tracked: erector spinae (8%), semitendinosus (14%), gluteus (5%), and quadriceps (10.2%). The classic fatigue parameters showed a significant reduction in the case of the semitendinosus: 1.7% zero-crossing rate, 0.9% mean frequency, and 1.12% median frequency. In addition, the logarithm of the normalized Dimitrov's index showed reductions of 11.5, 8, and 14% in erector spinae, semitendinosus, and gluteus, respectively. The calculation of range of motion in the relevant joints demonstrated significant differences, but in almost all cases, the differences were smaller than 10%. The findings of the study indicate that the passive exoskeleton reduces muscle activity and introduces some changes of strategies for motion. Thus, EMG and MoCap appear to be appropriate measurements for designing an exoskeleton assessment procedure.

Indexed as

Exoskeleton DeviceElectromyographyHumansLumbosacral RegionMuscle, SkeletalRange of Motion, ArticularEMGexoskeletonfatiguelumbarmanual material handlingmotion-tracking

Identifiers

PMID35684682
PMCPMC9185583

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.