Evidence map›Paper›PMID 40529118›Full record

ArticleWearable technologies2025

Evaluation of fatigue progression during overhead tasks and the effects of exoskeleton assistance.

Seemab Zakir, Lorenzo Grazi, Francesco Giovacchini, Nicola Vitiello, Emilio Trigili, Simona Crea

Abstract read
In one paragraph

Article in Wearable technologies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Review
  2. 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.

Seemab ZakirThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.ORCID https://orcid.org/0009-0004-3715-9792
Lorenzo GraziThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.ORCID https://orcid.org/0000-0003-4899-9346
Francesco GiovacchiniIUVO S.r.l., Pontedera, Italy.
Nicola VitielloThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Emilio TrigiliThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Simona CreaThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.ORCID https://orcid.org/0000-0001-9833-4401

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Upper-limb occupational exoskeletons reduce injuries during overhead work. Previous studies focused on muscle activation with and without exoskeletons, but their impact on shoulder fatigue remains unclear. Additionally, no studies have explored how exoskeleton support levels affect fatigue. This study investigates the effects of assistive profiles on muscular and cardiovascular fatigue. Electromyographic (EMG) and electrocardiographic signals were collected to compute EMG median frequency (MDF), heart rate (HR), and heart rate variability (HRV). Fatigue was assessed using three MDF and HR metrics: relative change (,), slope (,), and intercept (,) of the linear regression. Results showed decreased 64% (

Indexed as

biomechanicsexoskeletonshuman-robot interaction

Identifiers

PMID40529118
PMCPMC12170952

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.