Data logger device applicability for wheelchair tennis court movement |
| |
| Authors: | Paul Sindall John Lenton Rory Cooper Keith Tolfrey |
| |
| Institution: | 1. School of Health Sciences, University of Salford, Salford, United Kingdom;2. School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom;3. School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom;4. Department of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, United States;5. Department of Veterans Affairs, Human Engineering Research Laboratories, Research Rehabilitation and Development Service, Pittsburgh, United States |
| |
| Abstract: | Assessment of movement logging devices is required to ensure suitability for the determination of court-movement variables during competitive sports performance and allow for practical recommendations to be made. Hence, the purpose was to examine wheelchair tennis speed profiles to assess data logger device applicability for court-movement quantification, with match play stratified by rank (HIGH, LOW), sex (male, female) and format (singles, doubles). Thirty-one wheelchair tennis players were monitored during competitive match play. Mixed sampling was employed (male = 23, female = 8). Friedman’s test with Wilcoxon signed-rank post hoc testing revealed a higher percentage of time below 2.5 m · s?1 <2.5 vs. ≥2.5 m · s?1: 89.4 (5.0) vs. 1.2 (3.5)%, Z = ?4.860, P < 0.0005, r = 0.87] with the remaining time 9.0 (4.9%)] spent stationary. LOW-ranked players were stationary for longer than HIGH-ranked counterparts 12.6 (8.7) vs. 8.2 (5.1)%, U = 30.000, P = 0.011, r = 0.46] with more time at low propulsion speeds (<1.0 m · s?1). HIGH-ranked and doubles players spent more time in higher speed zones than respective counterparts. Females spent more time in the 1.0–1.49 m · s?1 zone (U = 48.000, P = 0.047, r = 0.36). Regardless of rank, sex or format, propulsion speeds during wheelchair tennis match play are consistent with data logger accuracy. Hence, data logging is appropriate for court-movement quantification. |
| |
| Keywords: | disability sport wheelchair tennis speed zones player tracking match analysis |
|
|
