Evidence map›Paper›PMID 30687510›Full record

ArticleBMJ open sport & exercise medicine2018

Collaborative sensorimotor intelligence: the scrum as a model.

Danping Wang, Gaël Mahe, Junying Fang, Julien Piscione, Serge Couvet, Didier Retiere, Sébastien Laporte, Pierre-Paul Vidal

Abstract read
In one paragraph

Article in BMJ open sport & exercise medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Danping Wang *School of Automation, Hangzhou Dianzi University, Zhejiang, China.ORCID 0000-0002-2440-8428
Gaël Mahe *UFR de mathématiques et informatique, LIPADE, Université Paris Descartes, Paris, France.
Junying FangFaculté des sciences fondamentales et biomédicales, Université Paris Descartes, Paris, France.
Julien PiscioneFédération Française de rugby, Marcoussis, France.
Serge CouvetThales, Osny, France.
Didier RetiereFédération Française de rugby, Marcoussis, France.
Sébastien LaporteLBM/Institut de Biomécanique Humaine Georges Charpak, Arts et Metiers ParisTech, Paris, France.
Pierre-Paul VidalSchool of Automation, Hangzhou Dianzi University, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimUsing M-Rex, a rugby scrum simulator, we developed tools to describe scrummaging forces and to prevent accident.

methodsWe tested three groups of frontliners at national level. The simulator was passive or responded to the player(s) to simulate the reaction of opposite players. Sensors in the beam measured the force exerted by each of the players. Their movements were recorded with a Codamotion system.

resultsThe force signals exhibited two phases: a transient phase, similar to a damped sinusoid with a dominant frequency around 5 Hz when the players scrummaged alone and with a wider range when playing together; then, a sustained phase could be decomposed in two components: a DC component remained stable whether frontliners played alone or together. In contrast, its variability decreased when the frontliners played together compared with when they played alone. As for the oscillations, the frontliners exhibited a large variability in their ability to synchronise their efforts during the sustained phase. The synchronisation between the hooker and the props was quite efficient, while it was always missing between two props. Finally, we were able to study postural readjustments and their synchronisation among players during the sustained phase.

conclusionThis study shows that by using adequate methods, it is possible to assess the frontline collective intelligence. These findings may pave the way for innovative methods of training to improve players' collective behaviour.

Indexed as

collaborative intelligenceinnovative methodsrugbytraining

Identifiers

PMID30687510
PMCPMC6326315

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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.