Evidence map›Paper›PMID 31861754›Full record

ReviewInternational journal of environmental research and public health2019

Wearables for Integrative Performance and Tactic Analyses: Opportunities, Challenges, and Future Directions.

Jonas Lutz, Daniel Memmert, Dominik Raabe, Rolf Dornberger, Lars Donath

Open access · goldAbstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.8field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 81 citations in OpenAlex.

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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 2 institutions in 2 countries.

Jonas LutzInstitute for Information Systems, University of Applied Sciences and Arts Northwestern Switzerland, Peter Merian-Strasse 86 4052 Basel, Switzerland.
Daniel MemmertInstitute of Exercise Training and Sport Informatics, German Sport University Cologne, Cologne, Germany.
Dominik RaabeInstitute of Exercise Training and Sport Informatics, German Sport University Cologne, Cologne, Germany.
Rolf DornbergerInstitute for Information Systems, University of Applied Sciences and Arts Northwestern Switzerland, Peter Merian-Strasse 86 4052 Basel, Switzerland.
Lars DonathInstitute of Exercise Training and Sport Informatics, German Sport University Cologne, Cologne, Germany.
German Sport University Cologne · DEFHNW University of Applied Sciences and Arts · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Micro-electromechanical systems (MEMS) have reduced drastically in size, cost, and power consumption, while improving accuracy. The combination of different sensor technologies is considered a promising step in the monitoring of athletes. Those "wearables" enable the capturing of relevant physiological and tactical information in individual and team sports and thus replacing subjective, time-consuming and qualitative methods with objective, quantitative ones. Prior studies mainly comprised sports categories such as: targeting sports, batting and fielding games as well as net and wall games, focusing on the detection of individual, non-locomotive movements. The increasing capabilities of wearables allow for more complex and integrative analysis expanding research into the last category: invasion sports. Such holistic approaches allow the derivation of metrics, estimation of physical conditions and the analysis of team strategic behavior, accompanied by integrative knowledge gains in technical, tactical, physical, and mental aspects of a sport. However, prior and current researchers find the precise measurement of the actual movement within highly dynamic and non-linear movement difficult. Thus, the present article showcases an overview of the environments in which the wearables are employed. It elaborates their use in individual as well as team-related performance analyses with a special focus on reliability and validity, challenges, and future directions.

Indexed as

AdultAthletesForecastingHumansMaleMonitoring, PhysiologicMovementReproducibility of ResultsSportsWearable Electronic DevicesYoung Adultanalysisload monitoringspatiotemporal datatacticteam sportswearables

Identifiers

PMID31861754
PMCPMC6981928
OpenAlexW2994818333

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.