Evidence map›Paper›PMID 32676126›Full record

ReviewApplied bionics and biomechanics2020

Sport Biomechanics Applications Using Inertial, Force, and EMG Sensors: A Literature Overview.

Juri Taborri, Justin Keogh, Anton Kos, Alessandro Santuz, Anton Umek, Caryn Urbanczyk, Eline van der Kruk, Stefano Rossi

Abstract readReview
In one paragraph

Review in Applied bionics and biomechanics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 3 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

56 citing papers in PubMed, 3 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

8 authors.

Juri TaborriDepartment of Economics, Engineering, Society and Business Organization, University of Tuscia, Viterbo, Italy.ORCID https://orcid.org/0000-0002-8997-7605
Justin KeoghFaculty of Health Science and Medicine, Bond University, Gold Coast, Queensland, Australia.
Anton KosFaculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia.ORCID https://orcid.org/0000-0001-6234-8561
Alessandro SantuzAtlantic Mobility Action Project, Brain Repair Centre, Department of Medical Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada.
Anton UmekFaculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia.
Caryn UrbanczykDepartment of Bioengineering, Imperial College London, London, UK.
Eline van der KrukDepartment of Bioengineering, Imperial College London, London, UK.
Stefano RossiDepartment of Economics, Engineering, Society and Business Organization, University of Tuscia, Viterbo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last few decades, a number of technological developments have advanced the spread of wearable sensors for the assessment of human motion. These sensors have been also developed to assess athletes' performance, providing useful guidelines for coaching, as well as for injury prevention. The data from these sensors provides key performance outcomes as well as more detailed kinematic, kinetic, and electromyographic data that provides insight into how the performance was obtained. From this perspective, inertial sensors, force sensors, and electromyography appear to be the most appropriate wearable sensors to use. Several studies were conducted to verify the feasibility of using wearable sensors for sport applications by using both commercially available and customized sensors. The present study seeks to provide an overview of sport biomechanics applications found from recent literature using wearable sensors, highlighting some information related to the used sensors and analysis methods. From the literature review results, it appears that inertial sensors are the most widespread sensors for assessing athletes' performance; however, there still exist applications for force sensors and electromyography in this context. The main sport assessed in the studies was running, even though the range of sports examined was quite high. The provided overview can be useful for researchers, athletes, and coaches to understand the technologies currently available for sport performance assessment.

Identifiers

PMID32676126
PMCPMC7330631

What OpenQuestion holds

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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.