Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/20786

Title: Data logger device applicability for wheelchair tennis court movement
Authors: Sindall, Paul
Lenton, John P.
Cooper, Rory A.
Tolfrey, Keith
Goosey-Tolfrey, Victoria L.
Keywords: Disability sport
Wheelchair tennis
Speed zones
Player tracking
Match analysis
Issue Date: 2014
Publisher: © Taylor and Francis
Citation: SINDALL, P. ... et al., 2014. Data logger device applicability for wheelchair tennis court movement. Journal of Sports Sciences, 33 (5), pp.527-533
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.
Description: This paper is closed access.
Version: Closed Access
DOI: 10.1080/02640414.2014.949829
URI: https://dspace.lboro.ac.uk/2134/20786
Publisher Link: http://dx.doi.org/10.1080/02640414.2014.949829
ISSN: 0264-0414
Appears in Collections:Closed Access (Sport, Exercise and Health Sciences)

Files associated with this item:

File Description SizeFormat
sindall et al (2014)JSS.pdfPublished version205.91 kBAdobe PDFView/Open

 

SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.