Evidence map›Paper›PMID 35916980›Full record

SynthesisAnnals of biomedical engineering2022

A Systematic Review on Evaluation Strategies for Field Assessment of Upper-Body Industrial Exoskeletons: Current Practices and Future Trends.

Pranav Madhav Kuber, Masoud Abdollahi, Mohammad Mehdi Alemi, Ehsan Rashedi

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Annals of biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

4 authors.

Pranav Madhav KuberBiomechanics and Ergonomics Lab, Industrial and Systems Engineering Department, Rochester Institute of Technology, Rochester, NY, USA.
Masoud AbdollahiBiomechanics and Ergonomics Lab, Industrial and Systems Engineering Department, Rochester Institute of Technology, Rochester, NY, USA.
Mohammad Mehdi AlemiCenter for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Ehsan RashediBiomechanics and Ergonomics Lab, Industrial and Systems Engineering Department, Rochester Institute of Technology, Rochester, NY, USA. exreie@rit.edu.ORCID http://orcid.org/0000-0002-2998-4993

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With rising manual work demands, physical assistance at the workplace is crucial, wherein the use of industrial exoskeletons (i-EXOs) could be advantageous. However, outcomes of numerous laboratory studies may not be directly translated to field environments. To explore this discrepancy, we conducted a systematic review including 31 studies to identify and compare the approaches, techniques, and outcomes within field assessments of shoulder and back support i-EXOs. Findings revealed that the subjective approaches [i.e., discomfort (23), usability (22), acceptance/perspectives (21), risk of injury (8), posture (3), perceived workload (2)] were reported more common (27) compared to objective (15) approaches [muscular demand (14), kinematics (8), metabolic costs (5)]. High variability was also observed in the experimental methodologies, including control over activity, task physics/duration, sample size, and reported metrics/measures. In the current study, the detailed approaches, their subject-related factors, and observed trends have been discussed. In sum, a new guideline, including tools/technologies has been proposed that could be utilized for field evaluation of i-EXOs. Lastly, we discussed some of the common technical challenges experimenters face in evaluating i-EXOs in field environments. Efforts presented in this study seek to improve the generalizability in testing and implementing i-EXOs.

Indexed as

Exoskeleton DeviceBiomechanical PhenomenaOrthotic DevicesPostureWorkplaceAssistive devicesErgonomicsExoskeletonsField evaluationWearable sensors

Identifiers

What OpenQuestion holds

Textmetadata
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.