2007
DOI: 10.1136/bjsm.2007.036426
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Quantification of the physiological and performance characteristics of on-court tennis drills

Abstract: The four drills produced physiological responses that reflect previously reported normal or maximal matchplay demands. These results point to the adaptations possible with adjustment of training drill type and load specific to matchplay demands or training phase.

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Cited by 77 publications
(83 citation statements)
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“…(Reid, Duffield, Dawson, Baker, & Crespo, 2008). The playing time proved to be similar on both the surfaces, confirming the evolution which has characterised tennis in recent years, with an increment in physical, technical and tactical abilities that is progressively reducing the gap between total playing time on clay and hard courts.…”
Section: Discussionsupporting
confidence: 67%
“…(Reid, Duffield, Dawson, Baker, & Crespo, 2008). The playing time proved to be similar on both the surfaces, confirming the evolution which has characterised tennis in recent years, with an increment in physical, technical and tactical abilities that is progressively reducing the gap between total playing time on clay and hard courts.…”
Section: Discussionsupporting
confidence: 67%
“…The demands of sports-specific training drills that feature an agility component have been reported. Researchers have measured time-motion and intensity variables for specific drills in soccer (Portas, Harley, Barnes, & Rush, 2010), tennis (Reid, Duffield, Dawson, Baker, & Crespo, 2008) and basketball (Montgomery, Pyne, & Minahan, 2010). These scientists used portable miniature, wireless, and wearable sensors to obtain measures of heart rate, rating of perceived exertion (RPE), lactate concentrations, and kinematics.…”
Section: Introductionmentioning
confidence: 99%
“…Utilizando esta información, un dispositivo de estas características puede calcular y registrar información referente a la velocidad y a la distancia recorrida (Reid, Duffield, Dawson, Baker y Crespo, 2008). Estos dispositivos presentan una gran aplicabilidad debido a sus características: ligeros, pequeños, económicos, rápida obtención de datos al analizar automáticamente múl-tiples jugadores y facilidad de análisis (Aughey, 2011;Aughey y Falloon, 2010;Dobson y Keogh, 2007;Edgecomb y Norton, 2006;MacLeod, Morris, Nevill y Sunderland, 2009).…”
Section: Introductionunclassified