Wearable wheelchair mobility performance measurement in basketball, rugby, and tennis: Lessons for classification and training
| Autor: | Monique A.M. Berger, D.J.J. Bregman, Rienk M.A. van der Slikke, DirkJan Veeger |
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| Přispěvatelé: | Human Movement Sciences, AMS - Sports |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Male
Mobiliteit Prestaties Wearable computer Wheelchair mobility lcsh:Chemical technology Biochemistry Analytical Chemistry 0302 clinical medicine Wheelchair lcsh:TP1-1185 Instrumentation Wearable technology Wheelchair sports biology Wheelchair mobility performance Atomic and Molecular Physics and Optics Tennis Female Psychology Evidence based classificatie Rolstoelsport medicine.medical_specialty Basketball Football Athletic Performance Article 03 medical and health sciences Wearable Electronic Devices Physical medicine and rehabilitation medicine Humans Performance measurement Evidence-based classification Electrical and Electronic Engineering Athletes business.industry Wearables 030229 sport sciences Individual level biology.organism_classification equipment and supplies nervous system diseases body regions Wheelchairs Rolstoel business Wheelchair Mobility Performance (WMP) human activities 030217 neurology & neurosurgery |
| Zdroj: | Sensors (Switzerland), 20(12):3518, 1-13. Multidisciplinary Digital Publishing Institute (MDPI) Sensors (Basel, Switzerland) Sensors Volume 20 Issue 12 Sensors, 20(12) Sensors, 1-13. MDPI STARTPAGE=1;ENDPAGE=13;TITLE=Sensors van der Slikke, R M A, Berger, M A M, Bregman, D J J & Veeger, D H E J 2020, ' Wearable wheelchair mobility performance measurement in basketball, rugby, and tennis : Lessons for classification and training ', Sensors (Switzerland), vol. 20, no. 12, 3518, pp. 1-13 . https://doi.org/10.3390/s20123518 Sensors, Vol 20, Iss 3518, p 3518 (2020) |
| ISSN: | 1424-8220 |
| Popis: | Athlete impairment level is an important factor in wheelchair mobility performance (WMP) in sports. Classification systems, aimed to compensate impairment level effects on performance, vary between sports. Improved understanding of resemblances and differences in WMP between sports could aid in optimizing the classification methodology. Furthermore, increased performance insight could be applied in training and wheelchair optimization. The wearable sensor-based wheelchair mobility performance monitor (WMPM) was used to measure WMP of wheelchair basketball, rugby and tennis athletes of (inter-)national level during match-play. As hypothesized, wheelchair basketball athletes show the highest average WMP levels and wheelchair rugby the lowest, whereas wheelchair tennis athletes range in between for most outcomes. Based on WMP profiles, wheelchair basketball requires the highest performance intensity, whereas in wheelchair tennis, maneuverability is the key performance factor. In wheelchair rugby, WMP levels show the highest variation comparable to the high variation in athletes&rsquo impairment levels. These insights could be used to direct classification and training guidelines, with more emphasis on intensity for wheelchair basketball, focus on maneuverability for wheelchair tennis and impairment-level based training programs for wheelchair rugby. Wearable technology use seems a prerequisite for further development of wheelchair sports, on the sports level (classification) and on individual level (training and wheelchair configuration). |
| Databáze: | OpenAIRE |
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