Evidence map›Paper›PMID 42590692›Full record

ArticleSensors (Basel, Switzerland)2026

How Stable Are Temporal EMG Parameters in Rowing? A Seven-Day Test-Retest Reliability Study Using Wearable sEMG.

Simone Kresevic, Eleonora Vignandel, Miriam Martini, Davide Arreghini, Manuela Deodato, Alex Buoite Stella, Miloš Ajčević

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Simone KresevicDepartment of Engineering and Architecture, University of Trieste, Via Valerio 10, 34127 Trieste, Italy.ORCID 0009-0008-1700-7512
Eleonora VignandelDepartment of Engineering and Architecture, University of Trieste, Via Valerio 10, 34127 Trieste, Italy.
Miriam MartiniDepartment of Medicine, Surgery and Health Sciences, University of Trieste, Via Pascoli 31, 34141 Trieste, Italy.
Davide ArreghiniDepartment of Medicine, Surgery and Health Sciences, University of Trieste, Via Pascoli 31, 34141 Trieste, Italy.
Manuela DeodatoDepartment of Medicine, Surgery and Health Sciences, University of Trieste, Via Pascoli 31, 34141 Trieste, Italy.ORCID 0000-0002-6150-6887
Alex Buoite StellaDepartment of Medicine, Surgery and Health Sciences, University of Trieste, Via Pascoli 31, 34141 Trieste, Italy.ORCID 0000-0002-4871-7022
Miloš AjčevićDepartment of Engineering and Architecture, University of Trieste, Via Valerio 10, 34127 Trieste, Italy.ORCID 0000-0001-8307-4360

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface electromyography (sEMG), increasingly delivered through wireless wearable systems, is a key non-invasive tool for the objective monitoring of muscle activation during repetitive motor tasks. The clinical and longitudinal usefulness of wearable sEMG during rowing depends on the test-retest reliability of the parameters extracted from the signal during high-intensity, multi-muscle cyclic locomotor tasks. This study aimed to use advanced sEMG processing to quantify the between-session reliability of EMG-derived parameters (onset, offset, active duration, and peak position) across seven major muscles, to characterize the between-session similarity of ensemble-averaged activation waveforms, and to describe within-trial activation dynamics. Fifteen competitive rowers (10 males, five females; aged 14-22 years) performed two identical 2000 m all-out trials seven days apart, with sEMG recorded by a wireless wearable system. Reliability was assessed by ICC(A,1) with 95% CIs, SEM, MDC

Indexed as

ElectromyographyMuscle, SkeletalWater SportsWearable Electronic DevicesAdolescentFemaleHumansMaleReproducibility of ResultsYoung Adultmuscle activation timingneuromuscular monitoringrowing ergometrysEMG signal processingsurface electromyographytest–retest reliabilitywearable sensors

Identifiers

PMID42590692
PMCPMC13468714

What Socratic 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 Socratic graph.