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Colin Higgs

Wheelchair racquetball players in the A and B divisions of the 1989 Canadian Racquetball Championships were videotaped and their performances were analyzed. The results indicated that the athletes had an exercise-to-pause ratio of 1:1.5 at the A level and 1:2.3 at the B level. Rallies were slightly longer at the higher level, with substantially longer pause periods at the B level. There was a higher percentage of longer rallies at the A level, although both divisions of play had comparable percentages of forehand and backhand shots. A-level players demonstrated greater distances covered per rally, greater wheelchair speed, and a higher degree of wheelchair maneuverability measured by the number and magnitude of directional changes. In particular, A-level players showed a greater tendency to use small directional corrections, particularly turns to the right of less than 45 °. It is suggested that this action allowed a less restricted backswing for powerful forehand shots.

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.4.338 Prioritizing Adapted Physical Education Goals: A Pilot Study Claudine Sherrill * Thomas Montelione 10 1990 7 4 355 369 10.1123/apaq.7.4.355 Wheelchair Racquetball: A Preliminary Time Motion Analysis Colin Higgs * 10 1990 7 4 370 384 10.1123/apaq.7.4.370 Books & Media Assistive Technology Gail M. Dummer

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Mário A.M. Simim, Marco Túlio de Mello, Bruno V.C. Silva, Dayane F. Rodrigues, João Paulo P. Rosa, Bruno Pena Couto and Andressa da Silva

COMP High-intensity activities Time–motion analysis 0 0 0 0 2 1 0 3 (3.7) Cadence (revolutions per min) Mechanics 0 0 1 0 0 0 0 1 (1.2) Distance covered (total, relative, speed in zone) Time–motion analysis 1 0 1 0 6 3 2 13 (15.9) Time (match, set, rally, rest, speed in zone) Time–motion analysis 1 0 1

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Mário A.M. Simim, Gustavo R. da Mota, Moacir Marocolo, Bruno V.C. da Silva, Marco Túlio de Mello and Paul S. Bradley

their physical capacity, it is very difficult to objectively verify fatigue using time-motion analysis alone. Fatigue in AS might also be highly complex, and thus, time-motion characteristics and game-induced decrements in neuromuscular measures (i.e., muscular endurance and power) must also be

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Rafael L. Kons, Kai Krabben, David L. Mann, Gabriela Fischer and Daniele Detanico

of judo performance—for example, scores, penalties, technical variation (throwing and groundwork techniques), and temporal structure (time-motion analysis during matches in competition)—will improve the understanding of the VI judo athletes’ profile ( Adam, Smaruj, & Tyszkowski, 2011 ; Gutiérrez

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Annemarie M.H. de Witte, Monique A.M. Berger, Marco J.M. Hoozemans, Dirkjan H.E.J. Veeger and Lucas H.V. van der Woude

field position within classification categories. Players in classifications 1 and 1.5 are categorized in Category 1, classifications 2–2.5 in Category 2, classifications of 3–3.5 in Category 3, and classifications 4–4.5 in Category 4. Time-and-Motion Analysis Mobility performance was determined using

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Valeria Rosso, Laura Gastaldi, Walter Rapp, Stefan Lindinger, Yves Vanlandewijck, Sami Äyrämö and Vesa Linnamo

initial position on the sit-ski before the following perturbation was initiated. A motion analysis system composed of eight Vicon cameras and the Vicon Nexus software (Vicon Motion System Ltd., Oxford, UK) was used to register trunk movements. A passive reflective marker was fixed on the posterior right