Evidence map›Paper›PMID 35214321›Full record

ArticleSensors (Basel, Switzerland)2022

Integrated Timing of Stroking, Breathing, and Kicking in Front-Crawl Swimming: A Novel Stroke-by-Stroke Approach Using Wearable Inertial Sensors.

Silvia Fantozzi, Vittorio Coloretti, Maria Francesca Piacentini, Claudio Quagliarotti, Sandro Bartolomei, Giorgio Gatta, Matteo Cortesi

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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. 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

7 authors.

Silvia FantozziDepartment of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy.ORCID 0000-0002-0660-7204
Vittorio ColorettiDepartment of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy.
Maria Francesca PiacentiniDepartment of Movement, Human and Health Sciences, University of Rome Foro Italico, 00135 Rome, Italy.ORCID 0000-0002-1927-7478
Claudio QuagliarottiDepartment of Movement, Human and Health Sciences, University of Rome Foro Italico, 00135 Rome, Italy.ORCID 0000-0002-3231-5897
Sandro BartolomeiDepartment of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy.ORCID 0000-0002-0053-397X
Giorgio GattaDepartment for Life Quality Studies, University of Bologna, 40126 Bologna, Italy.ORCID 0000-0001-6322-7761
Matteo CortesiDepartment for Life Quality Studies, University of Bologna, 40126 Bologna, Italy.ORCID 0000-0003-1518-8221

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative evaluation of synergic action among the different body segments is fundamental to swimming performance. The aim of the present study was to develop an easy-to-use tool for stroke-by-stroke evaluation of a swimmer's integrated timing of stroking, kicking, and breathing. Twelve swimmers were evaluated during one trial of 100 m front-crawl swimming at self-selected speed. Five three-axial inertial sensors were mounted on the head, wrists, and ankles. Algorithms for the wrist entry into the water, the lower limb beat during the downward action, and the exit/entry of the face from/into the water were developed. Temporal events identified by video-based technique, using one sagittal moving camera, were assumed as the gold standard. The performance was evaluated in terms of the root-mean-square error, 90th percentile of absolute error, coefficient of variation, Bland-Altman plots, and correlation analysis. Results of all temporal events showed high agreement with the gold standard, confirmed by a root-mean-square error of less than 0.05 s for absolute temporal parameters and less than 0.7% for the percentages of the stroke cycle duration, and with correlation coefficients higher than 0.856. The protocol proposed was not only accurate and reliable, but also user-friendly and as unobtrusive as possible for the swimmer, allowing a stroke-by-stroke analysis during the training session.

Indexed as

SwimmingWearable Electronic DevicesBiomechanical PhenomenaRespirationWristgyroscopeinertial measurement unitkinematicsperformance analysistraining monitoringvalidationwearable device

Identifiers

PMID35214321
PMCPMC8879882

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Registered trials

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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.