ArticleSensors (Basel, Switzerland)2020
Wearable Wheelchair Mobility Performance Measurement in Basketball, Rugby, and Tennis: Lessons for Classification and Training.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
21 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Application of Sensor Technology in Wheelchair Sports for Real-Time Data Collection during Training and Competition and for Assessment of Performance Parameters: A Systematic Review and Future Directions.Sensors (Basel, Switzerland) · 2024Pooled it
- The Physical Demands of Wheelchair Tennis Match Play: A Systematic Review with Meta-analysis.Sports medicine (Auckland, N.Z.) · 2024Pooled it
- Pooled it
- Smart Wheelchair and Sensor System for Tracking Performance and Accessibility in Urban Environments.Sensors (Basel, Switzerland) · 2026Article
- From trunk and hip muscle function to class allocation: understanding the functional basis of wheelchair basketball classification.Frontiers in sports and active living · 2026Article
- Linking field-based mobility tests to match-derived performance in wheelchair rugby: understanding test-match agreement across impairment types.Frontiers in sports and active living · 2026Article
- Trunk function: the core of mobility performance in wheelchair tennis.Frontiers in sports and active living · 2026Article
- An inertial sensor-based comprehensive analysis of manual wheelchair user mobility during daily life in people with SCI.PloS one · 2025Article
- The effect of push frequency and stroke time on wheelchair maneuverability among wheelchair tennis athletes on hard tennis court.Scientific reports · 2024Article
- Activity Identification, Classification, and Representation of Wheelchair Sport Court Tasks: A Method Proposal.Methods and protocols · 2024Article
- Standardised activities in wheelchair rugby, comparison between athletes with coordination impairment and athletes with other impairments.Frontiers in sports and active living · 2024Article
- Wheelchair Rugby Sprint Force-Velocity Modeling Using Inertial Measurement Units and Sport Specific Parameters: A Proof of Concept.Sensors (Basel, Switzerland) · 2023Article
- A Simple and Valid Method to Calculate Wheelchair Frame Rotation Using One Wheel-Mounted IMU.Sensors (Basel, Switzerland) · 2023Article
- Real-Time Muscle Activity and Joint Range of Motion Monitor to Improve Shoulder Pain Rehabilitation in Wheelchair Basketball Players: A Non-Randomized Clinical Study.Clinics and practice · 2022Article
- Article
- Biomechanical Comparison between Down-the-Line and Cross-Court Topspin Backhand in Competitive Table Tennis.International journal of environmental research and public health · 2022Article
- Deep Learning-Based Myoelectric Potential Estimation Method for Wheelchair Operation.Sensors (Basel, Switzerland) · 2022Article
- Characteristics of Official Wheelchair Basketball Games in Hot and Temperate Conditions.International journal of environmental research and public health · 2022Article
- Logical-Linguistic Model of Diagnostics of Electric Drives with Sensors Support.Sensors (Basel, Switzerland) · 2020Article
- A Quantitative Study of the Impact of Functional Classification on Competitive Anxiety and Performance Among Wheelchair Basketball Athletes.Frontiers in psychology · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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' 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).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.