Literature DB >> 26141162

Opportunities for measuring wheelchair kinematics in match settings; reliability of a three inertial sensor configuration.

R M A van der Slikke1, M A M Berger2, D J J Bregman3, A H Lagerberg2, H E J Veeger4.   

Abstract

Knowledge of wheelchair kinematics during a match is prerequisite for performance improvement in wheelchair basketball. Unfortunately, no measurement system providing key kinematic outcomes proved to be reliable in competition. In this study, the reliability of estimated wheelchair kinematics based on a three inertial measurement unit (IMU) configuration was assessed in wheelchair basketball match-like conditions. Twenty participants performed a series of tests reflecting different motion aspects of wheelchair basketball. During the tests wheelchair kinematics were simultaneously measured using IMUs on wheels and frame, and a 24-camera optical motion analysis system serving as gold standard. Results showed only small deviations of the IMU method compared to the gold standard, once a newly developed skid correction algorithm was applied. Calculated Root Mean Square Errors (RMSE) showed good estimates for frame displacement (RMSE≤0.05 m) and speed (RMSE≤0.1m/s), except for three truly vigorous tests. Estimates of frame rotation in the horizontal plane (RMSE<3°) and rotational speed (RMSE<7°/s) were very accurate. Differences in calculated Instantaneous Rotation Centres (IRC) were small, but somewhat larger in tests performed at high speed (RMSE up to 0.19 m). Average test outcomes for linear speed (ICCs>0.90), rotational speed (ICC>0.99) and IRC (ICC> 0.90) showed high correlations between IMU data and gold standard. IMU based estimation of wheelchair kinematics provided reliable results, except for brief moments of wheel skidding in truly vigorous tests. The IMU method is believed to enable prospective research in wheelchair basketball match conditions and contribute to individual support of athletes in everyday sports practice.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Inertial measurement unit; Instrumented wheelchair; Reliability; Wheelchair basketball; Wheelchair kinematics

Mesh:

Year:  2015        PMID: 26141162     DOI: 10.1016/j.jbiomech.2015.06.001

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  10 in total

Review 1.  Trends Supporting the In-Field Use of Wearable Inertial Sensors for Sport Performance Evaluation: A Systematic Review.

Authors:  Valentina Camomilla; Elena Bergamini; Silvia Fantozzi; Giuseppe Vannozzi
Journal:  Sensors (Basel)       Date:  2018-03-15       Impact factor: 3.576

2.  A Literature Review Informing an Operational Guideline for Inertial Sensor Propulsion Measurement in Wheelchair Court Sports.

Authors:  Jonathan B Shepherd; Daniel A James; Hugo G Espinosa; David V Thiel; David D Rowlands
Journal:  Sports (Basel)       Date:  2018-04-13

3.  Assessment of a markerless motion analysis system for manual wheelchair application.

Authors:  Jacob Rammer; Brooke Slavens; Joseph Krzak; Jack Winters; Susan Riedel; Gerald Harris
Journal:  J Neuroeng Rehabil       Date:  2018-11-06       Impact factor: 4.262

4.  Wheelchair mobility performance of elite wheelchair tennis players during four field tests: Inter-trial reliability and construct validity.

Authors:  Thomas Rietveld; Riemer J K Vegter; Rienk M A van der Slikke; Aldo E Hoekstra; Lucas H V van der Woude; Sonja de Groot
Journal:  PLoS One       Date:  2019-06-06       Impact factor: 3.240

5.  Influence of Functional Classification on Skill Tests in Elite Female Wheelchair Basketball Athletes.

Authors:  Kaori Tachibana; Hirotaka Mutsuzaki; Yukiyo Shimizu; Takashi Doi; Kazushi Hotta; Yasuyoshi Wadano
Journal:  Medicina (Kaunas)       Date:  2019-11-15       Impact factor: 2.430

6.  Wearable Wheelchair Mobility Performance Measurement in Basketball, Rugby, and Tennis: Lessons for Classification and Training.

Authors:  Rienk M A van der Slikke; Monique A M Berger; Daan J J Bregman; Dirkjan H E J Veeger
Journal:  Sensors (Basel)       Date:  2020-06-21       Impact factor: 3.576

7.  Differences in kinematic and match-play demands between elite winning and losing wheelchair padel players.

Authors:  Daniel Navas; Santiago Veiga; Enrique Navarro; Jesús Ramón-Llín
Journal:  PLoS One       Date:  2020-09-18       Impact factor: 3.240

8.  Turning in Circles: Understanding Manual Wheelchair Use Towards Developing User-Friendly Steering Systems.

Authors:  Reto Togni; Andrea Kilchenmann; Alba Proffe; Joel Mullarkey; László Demkó; William R Taylor; Roland Zemp
Journal:  Front Bioeng Biotechnol       Date:  2022-02-17

9.  Prediction of Propulsion Kinematics and Performance in Wheelchair Rugby.

Authors:  David S Haydon; Ross A Pinder; Paul N Grimshaw; William S P Robertson; Connor J M Holdback
Journal:  Front Sports Act Living       Date:  2022-07-07

10.  Tracking and Characterization of Spinal Cord-Injured Patients by Means of RGB-D Sensors.

Authors:  Filippo Colombo Zefinetti; Andrea Vitali; Daniele Regazzoni; Caterina Rizzi; Guido Molinero
Journal:  Sensors (Basel)       Date:  2020-11-04       Impact factor: 3.576

  10 in total

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