Speed profiles in wheelchair court sports; comparison of two methods for measuring wheelchair mobility performance.

Wheelchair mobility performance is an important aspect in most wheelchair court sports, commonly measured with an indoor tracking system or wheelchair bound inertial sensors. Both methods provide key wheelchair mobility performance outcomes regarding speed. In this study, we compared speed profiles of both methods to gain insight into the level of agreement, for recommendations regarding future performance measurement. Data were obtained from 5 male highly trained wheelchair basketball players during match play. Players were equipped simultaneously with a tag on the footplate for the indoor tracking system (∼8 Hz) and inertial sensors on both wheels and frame (199.8 Hz). Being part of a larger study on 3 vs 3 player game formats, data were collected in several matches with varying field sizes, but activity profiles closely resembled regular match play. Both systems provide similar outcomes regarding distance covered and average speed. Due to differences in sampling frequency and sensor location (reference point) on the wheelchair (for speed calculation), minor differences were revealed at low speeds (<2.5 m/s). Since both systems provide complementary features, a hybrid solution as proved feasible in this study, could possibly serve as the new gold standard for mobility performance measurement in wheelchair basketball or wheelchair court sports in general.

[1]  N E Fowler,et al.  A telemetry-based velocometer to measure wheelchair velocity. , 2003, Journal of biomechanics.

[2]  A. Ferro,et al.  Sprint Performance of Elite Wheelchair Basketball Players: Applicability of a Laser System for Describing the Velocity Curve. , 2016, Adapted Physical Activity Quarterly.

[3]  Bertrand Perrat,et al.  Activity profiles of elite wheelchair rugby players during competition. , 2015, International journal of sports physiology and performance.

[4]  Guang-Zhong Yang,et al.  WISDOM: wheelchair inertial sensors for displacement and orientation monitoring , 2011 .

[5]  Franz Konstantin Fuss,et al.  Sports wheelchair technologies , 2010 .

[6]  Barry S. Mason,et al.  The Ergonomics of Wheelchair Configuration for Optimal Performance in the Wheelchair Court Sports , 2012, Sports Medicine.

[7]  H.E.J. Veeger,et al.  Wheel skid correction is a prerequisite to reliably measure wheelchair sports kinematics based on inertial sensors , 2015 .

[8]  M. Boninger,et al.  Assessing mobility characteristics and activity levels of manual wheelchair users. , 2007, Journal of rehabilitation research and development.

[9]  Barry S Mason,et al.  Effect of team rank and player classification on activity profiles of elite wheelchair rugby players , 2015, Journal of sports sciences.

[10]  Bertrand Perrat,et al.  Quality assessment of an Ultra-Wide Band positioning system for indoor wheelchair court sports , 2015 .

[11]  R M A van der Slikke,et al.  From big data to rich data: The key features of athlete wheelchair mobility performance. , 2016, Journal of biomechanics.

[12]  K. Glenk,et al.  Validity and Reliability , 2008, Environmental Valuation with Discrete Choice Experiments.

[13]  Rory A. Cooper,et al.  Quantification of Activity During Wheelchair Basketball and Rugby at the National Veterans Wheelchair Games: A Pilot Study , 2009, Prosthetics and orthotics international.

[14]  Bertrand Perrat,et al.  The validity and reliability of a novel indoor player tracking system for use within wheelchair court sports , 2014, Journal of sports sciences.

[15]  H.E.J. Veeger,et al.  Opportunities for measuring wheelchair kinematics in match settings; reliability of a three inertial sensor configuration. , 2015, Journal of biomechanics.

[16]  Franz Konstantin Fuss,et al.  Speed measurements in wheelchair sports – theory and application , 2012 .

[17]  DirkJan Veeger,et al.  Push characteristics in wheelchair court sport sprinting , 2016 .

[18]  Lucas H V van der Woude,et al.  A qualitative examination of wheelchair configuration for optimal mobility performance in wheelchair sports: a pilot study. , 2010, Journal of rehabilitation medicine.

[19]  Rory Cooper,et al.  Comparing the Activity Profiles of Wheelchair Rugby Using a Miniaturised Data Logger and Radio-Frequency Tracking System , 2014, BioMed research international.

[20]  G. Caldwell,et al.  Coefficient of cross correlation and the time domain correspondence. , 1999, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[21]  Rory A Cooper,et al.  Criterion validity and accuracy of global positioning satellite and data logging devices for wheelchair tennis court movement , 2013, The journal of spinal cord medicine.

[22]  R. V. D. van der Slikke,et al.  The Effect of Small-Sided Game Formats on Physical and Technical Performance in Wheelchair Basketball. , 2017, International journal of sports physiology and performance.