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      Collaborative sensorimotor intelligence: the scrum as a model

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          Abstract

          Aim

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

          Methods

          We 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.

          Results

          The 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.

          Conclusion

          This 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.

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          Most cited references11

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          Force production in the rugby union scrum.

          In this study, we examined the relationship between anthropometric, strength and power characteristics of rugby forwards, their body position when scrummaging, and their ability to apply force when scrummaging. Force applied to an instrumented scrum machine was measured for 56 players, both individually and as scrum packs. Measurements of body position for individuals were made by digitizing videotape records of the trials. Forty players subsequently had their anthropometry assessed and completed several strength and power tests. Body mass, each component of somatotype, maximal anaerobic power developed on a cycle ergometer, and isokinetic knee extension strength correlated significantly with individual scrummaging force. A regression model (P < 0.001) including body mass, mesomorphy, maximal anaerobic power and hip angle while in the scrummaging position accounted for 45% of the variance in individual scrummaging force. The packs that produced the largest scrummaging forces were, in general, characterized by a greater pack force to sum of individual force ratio than the packs producing lower forces. Our results emphasize the need for a scrum pack to develop technique and coordination as a unit to maximize scrummaging force.
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            Anthropometric and physiological characteristics of rugby union football players.

            C Nicholas (1997)
            Rugby union enjoys worldwide popularity, but there is a lack of comprehensive research into the anthropometric and physiological characteristics of its players and the demands of the game, particularly at the elite level. One of the possible explanations for this is that the sport has previously been primarily concerned with the aspects of skill related to the game, rather than the physical and physiological requirements. However, with the increased physiological demands being placed on the elite players (using the British Isles as an example), with the recent introduction of professionalism, regional championships, the World Cup and major tours, information about the demands of the game and the assessment of, and methods of improving, the anthropometric and physiological characteristics of its players, are of paramount importance. Match analysis has indicated that rugby is an interval or intermittent sport and players must be able to perform a large number of intensive efforts of 5 to 15 seconds' duration with less than 40 seconds' recovery between each bout of high intensity activity. These observations, together with the metabolic responses during the game, give some insight into its physiological demands and are a prerequisite in the development and prescription of training programmes by coaches in preparing individual players for competition. The results from studies reporting the anthropometric and physiological characteristics of rugby union players observed that these individuals had unique anthropometric and physiological attributes which depended on positional role and the playing standard. These have important implications for team selection and highlight the necessity for individualised training programmes and fitness attainment targets.
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              A modified prebind engagement process reduces biomechanical loading on front row players during scrummaging: a cross-sectional study of 11 elite teams

              Biomechanical studies of the rugby union scrum have typically been conducted using instrumented scrum machines, but a large-scale biomechanical analysis of live contested scrummaging is lacking. We investigated whether the biomechanical loading experienced by professional front row players during the engagement phase of live contested rugby scrums could be reduced using a modified engagement procedure.
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                Author and article information

                Journal
                BMJ Open Sport Exerc Med
                BMJ Open Sport Exerc Med
                bmjosem
                bmjosem
                BMJ Open Sport — Exercise Medicine
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2055-7647
                2018
                27 December 2018
                : 4
                : 1
                : e000407
                Affiliations
                [1 ] School of Automation, Hangzhou Dianzi University , Zhejiang, China
                [2 ] Plateforme d’étude de la Sensorimotricité, Université Paris Descartes , Paris, France
                [3 ] UFR de mathématiques et informatique, LIPADE, Université Paris Descartes , Paris, France
                [4 ] Faculté des sciences fondamentales et biomédicales, Université Paris Descartes , Paris, France
                [5 ] Fédération Française de rugby , Marcoussis, France
                [6 ] Thales , Osny, France
                [7 ] LBM/Institut de Biomécanique Humaine Georges Charpak, Arts et Metiers ParisTech , Paris, France
                [8 ] COGNition and ACtion Group (COGNAC-G), Université Paris Descartes, CNRS UMR-MD, SSA , Paris, France
                Author notes
                [Correspondence to ] Dr Danping Wang; danping.wang@ 123456parisdescartes.fr

                DW and GëlM are joint first authors.

                Author information
                http://orcid.org/0000-0002-2440-8428
                Article
                bmjsem-2018-000407
                10.1136/bmjsem-2018-000407
                6326315
                407e19af-d4b0-4f4e-9489-82fe53066e85
                © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

                History
                : 03 October 2018
                Categories
                Original Article
                1506
                Custom metadata
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                rugby,innovative methods,training,collaborative intelligence

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