Evidence map›Paper›PMID 36560273›Full record

ArticleSensors (Basel, Switzerland)2022

Validation of an Automatic Inertial Sensor-Based Methodology for Detailed Barbell Velocity Monitoring during Maximal Paralympic Bench Press.

Lorenzo Rum, Tommaso Sciarra, Nicoletta Balletti, Aldo Lazich, Elena Bergamini

Open access · goldAbstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 17% 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, 9 citations in OpenAlex.

  1. Article
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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

5 authors at 3 institutions in 1 country.

Lorenzo RumDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", Piazza L. De Bosis 6, 00135 Rome, Italy.ORCID 0000-0002-5870-7514
Tommaso SciarraDefense Veterans Center, Celio Army Medical Center, 00184 Rome, Italy.
Nicoletta BallettiDefense Veterans Center, Celio Army Medical Center, 00184 Rome, Italy.
Aldo LazichDefense Veterans Center, Celio Army Medical Center, 00184 Rome, Italy.
Elena BergaminiDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", Piazza L. De Bosis 6, 00135 Rome, Italy.ORCID 0000-0002-9055-3981
Foro Italico University of Rome · ITSapienza University of Rome · ITUniversity of Molise · IT

Funding

Ministry of Defence PNRM 2019 program
6 · The paper itself

Abstract

Current technologies based on inertial measurement units (IMUs) are considered valid and reliable tools for monitoring barbell velocity in strength training. However, the extracted outcomes are often limited to a few velocity metrics, such as mean or maximal velocity. This study aimed at validating a single IMU-based methodology to automatically obtain the barbell velocity full profile as well as key performance metrics during maximal Paralympic bench press. Seven Paralympic powerlifters (age: 30.5 ± 4.3 years, sitting height: 71.6 ± 6.8 cm, body mass: 72.5 ± 16.4 kg, one-repetition maximum: 148.4 ± 38.6 kg) performed four attempts of maximal Paralympic bench press. The barbell velocity profile and relevant metrics were automatically obtained from IMU linear acceleration through a custom-made algorithm and validated against a video-based reference system. The mean difference between devices was 0.00 ± 0.04 m·s−1 with low limits of agreement (<0.09 m·s−1) and moderate-to-good reliability (ICC: 0.55−0.90). Linear regression analysis showed large-to-very large associations between paired measurements (r: 0.57−0.91, p < 0.003; SEE: 0.02−0.06 m·s−1). The analysis of velocity curves showed a high spatial similarity and small differences between devices. The proposed methodology provided a good level of agreement, making it suitable for different applications in barbell velocity monitoring during maximal Paralympic bench press.

Indexed as

Muscle StrengthResistance TrainingAccelerationAdultExercise TherapyHumansReproducibility of Resultsbarbell velocitybench pressinertial sensorParalympic powerliftingstrength training

Identifiers

PMID36560273
PMCPMC9784026
OpenAlexW4312195941

What OpenQuestion holds

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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.