Literature DB >> 24146035

Validity and reliability of an inertial sensor for wheelchair court sports performance.

Barry S Mason1, James M Rhodes, Victoria L Goosey-Tolfrey.   

Abstract

The purpose of the current study was to determine the validity and reliability of an inertial sensor for assessing speed specific to athletes competing in the wheelchair court sports (basketball, rugby, and tennis). A wireless inertial sensor was attached to the axle of a sports wheelchair. Over two separate sessions, the sensor was tested across a range of treadmill speeds reflective of the court sports (1.0 to 6.0 m/s). At each test speed, ten 10-second trials were recorded and were compared with the treadmill (criterion). A further session explored the dynamic validity and reliability of the sensor during a sprinting task on a wheelchair ergometer compared with high-speed video (criterion). During session one, the sensor marginally overestimated speed, whereas during session two these speeds were underestimated slightly. However, systematic bias and absolute random errors never exceeded 0.058 m/s and 0.086 m/s, respectively, across both sessions. The sensor was also shown to be a reliable device with coefficients of variation (% CV) never exceeding 0.9 at any speed. During maximal sprinting, the sensor also provided a valid representation of the peak speeds reached (1.6% CV). Slight random errors in timing led to larger random errors in the detection of deceleration values. The results of this investigation have demonstrated that an inertial sensor developed for sports wheelchair applications provided a valid and reliable assessment of the speeds typically experienced by wheelchair athletes. As such, this device will be a valuable monitoring tool for assessing aspects of linear wheelchair performance.

Mesh:

Year:  2013        PMID: 24146035     DOI: 10.1123/jab.2013-0148

Source DB:  PubMed          Journal:  J Appl Biomech        ISSN: 1065-8483            Impact factor:   1.833


  7 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

Review 2.  Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis.

Authors:  Camille J Shanahan; Frederique M C Boonstra; L Eduardo Cofré Lizama; Myrte Strik; Bradford A Moffat; Fary Khan; Trevor J Kilpatrick; Anneke van der Walt; Mary P Galea; Scott C Kolbe
Journal:  Front Neurol       Date:  2018-02-02       Impact factor: 4.003

3.  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

Review 4.  Wearable Sensors in Sports for Persons with Disability: A Systematic Review.

Authors:  Lorenzo Rum; Oscar Sten; Eleonora Vendrame; Valeria Belluscio; Valentina Camomilla; Giuseppe Vannozzi; Luigi Truppa; Marco Notarantonio; Tommaso Sciarra; Aldo Lazich; Andrea Mannini; Elena Bergamini
Journal:  Sensors (Basel)       Date:  2021-03-07       Impact factor: 3.576

5.  Characterizing the Thermal Demands and Mobility Performance During International Wheelchair Rugby Competition.

Authors:  Erica H Gavel; Melissa A Lacroix; Vicky L Goosey-Tolfrey; Heather M Logan-Sprenger
Journal:  Front Rehabil Sci       Date:  2022-04-29

6.  Wheelchair Propulsion Biomechanics in Junior Basketball Players: A Method for the Evaluation of the Efficacy of a Specific Training Program.

Authors:  Elena Bergamini; Francesca Morelli; Flavia Marchetti; Giuseppe Vannozzi; Lorenzo Polidori; Francesco Paradisi; Marco Traballesi; Aurelio Cappozzo; Anna Sofia Delussu
Journal:  Biomed Res Int       Date:  2015-10-12       Impact factor: 3.411

Review 7.  Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders.

Authors:  Alessandro Zampogna; Ilaria Mileti; Eduardo Palermo; Claudia Celletti; Marco Paoloni; Alessandro Manoni; Ivan Mazzetta; Gloria Dalla Costa; Carlos Pérez-López; Filippo Camerota; Letizia Leocani; Joan Cabestany; Fernanda Irrera; Antonio Suppa
Journal:  Sensors (Basel)       Date:  2020-06-07       Impact factor: 3.576

  7 in total

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