2018
DOI: 10.7752/jpes.2018.03233
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Abstract: Present investigation compared technical/tactical actions, physiological and neuromuscular responses in simulated judo combats with and without opponent changes. Six judokas (22.5±3.0 years-old) participated of three pilot experimental sessions with simulated combats, each one with a different number of opponents (1x1; 1x2; 1x5) in a randomized order. Subjects performed a warm-up and a five-minute combat per session, which was realized in accordance with international rules, with exception for Ippon interrupti… Show more

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“…Notational analysis is concerned with identifying patterns, often referred to as 'performance indicators', in the judo competitive environment (Brito et al, 2017;Ito et al, 2015). While match demands have been well-described in judo using time-motion (Barreto et al, 2019;Brito et al, 2020;Challlis et al, 2015;Dudeniene et al, 2017;Miarka et al, 2016;Miarka et al, 2016a;Soriano et al, 2019;Sterkowicz-Przybycień et al, 2017), technical-tactical analysis (Calmet et al, 2006;Klys et al, 2020), muscle group specific torque production (Brito et al, 2020;Lech et al, 2015), motor actions (Courel-Ibáñez et al, 2014;Del Vecchio et al, 2018;Calmet et al, 2010;Franchini et al, 2018;Ito et al, 2014;Kajmovic & Radjo, 2014;Miarka et al, 2017;Piras et al, 2014), and biomechanical analysis (Soto et al,2020;Dal Bello et al, 2019;Ito et al, 2019), a practical performance analysis Escobar-Molina et al, 2014) to verify how rules changes between 2010 and 2020 impacted in judo is needed to evaluate contextual information during judo competition (Soto et al, 2020a;Miarka et al, 2015;Tamura et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Notational analysis is concerned with identifying patterns, often referred to as 'performance indicators', in the judo competitive environment (Brito et al, 2017;Ito et al, 2015). While match demands have been well-described in judo using time-motion (Barreto et al, 2019;Brito et al, 2020;Challlis et al, 2015;Dudeniene et al, 2017;Miarka et al, 2016;Miarka et al, 2016a;Soriano et al, 2019;Sterkowicz-Przybycień et al, 2017), technical-tactical analysis (Calmet et al, 2006;Klys et al, 2020), muscle group specific torque production (Brito et al, 2020;Lech et al, 2015), motor actions (Courel-Ibáñez et al, 2014;Del Vecchio et al, 2018;Calmet et al, 2010;Franchini et al, 2018;Ito et al, 2014;Kajmovic & Radjo, 2014;Miarka et al, 2017;Piras et al, 2014), and biomechanical analysis (Soto et al,2020;Dal Bello et al, 2019;Ito et al, 2019), a practical performance analysis Escobar-Molina et al, 2014) to verify how rules changes between 2010 and 2020 impacted in judo is needed to evaluate contextual information during judo competition (Soto et al, 2020a;Miarka et al, 2015;Tamura et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Though specific match demands have been well-described ( Miarka et al, 2012 ; Challis et al, 2015 ; Dudeniene et al, 2017 ; Soriano et al, 2019 ; Brito et al, 2020 ), a practical guide of combat time analysis to verify how independent variables impact in judo is necessary to evaluate contextual evidence during judo tournaments ( Tamura et al, 2012 ; Brito et al, 2017 ; Soto et al, 2020 ; Barreto et al, 2021 ). Previous research with match demands analysis on judo has discovered singular agents in the multifaceted strategic systems of high-level athletes ( Calmet et al, 2006 ; Miarka et al, 2015 ; Del Vecchio et al, 2018 ), who have a predisposition to organize themselves into a vast array of synchronized patterns by altering their actions on the interactions with the opponent ( Ito et al, 2014 ; Piras et al, 2014 ; Miarka et al, 2017 ). In addition, weight category differences in judo have been established, with heavyweights being predominantly susceptible to defeat after being penalized ( Escobar-Molina et al, 2014 ; Sterkowicz-Przybycien et al, 2017 ) and lighter athletes producing more effective attacks when utilizing asymmetrical gripping strategies ( Courel-Ibáñez et al, 2014 ; Kajmovic and Radjo, 2014 ; Kajmovic et al, 2014 ; Kons et al, 2018 ).…”
Section: Introductionmentioning
confidence: 99%