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Validity and Reliability of Inertial Motion Unit-Based Performance Metrics During Wheelchair Racing Propulsion.

Raphaël Ouellet1,2, Katia Turcot1,2, Nathalie Séguin3

  • 1Département de Kinésiologie, Faculté de Médecine, Université Laval, Québec, QC G1V 0A6, Canada.

Sensors (Basel, Switzerland)
|April 28, 2025
PubMed
Summary
This summary is machine-generated.

This study validates using inertial motion unit (IMU) data to measure wheelchair racing performance. Accelerometer data can reliably assess wheelchair speed, aiding training for athletes.

Keywords:
accelerometryadapted sportsbiomechanicsinertial sensorreproducibility of results

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Area of Science:

  • Sports Science
  • Biomechanics
  • Rehabilitation Engineering

Background:

  • Wheelchair racing performance metrics require validation for accurate training.
  • Objective assessment of wheelchair propulsion is crucial for athlete development.

Purpose of the Study:

  • To evaluate the concurrent validity and test-retest reliability of wheelchair racing performance metrics.
  • To compare the accuracy of inertial motion unit (IMU) and light detection and ranging (Lidar) systems.
  • To assess the performance differences between novice participants and wheelchair athletes.

Main Methods:

  • Thirteen individuals without disabilities and three wheelchair athletes performed maximal efforts on a racing wheelchair.
  • Wheelchair kinematics were measured using an IMU and a Lidar system.
  • Propulsion cycle duration, acceleration, average speed, speed gains, and speed loss were analyzed.

Main Results:

  • Test-retest reliability was generally moderate to good, with some metrics showing poor reliability.
  • High correlations (0.78-0.99) were found between IMU and Lidar systems for most metrics.
  • Wheelchair athletes demonstrated superior performance compared to novice participants.

Conclusions:

  • Integrated accelerometer data from IMUs can reliably assess wheelchair speed characteristics.
  • Field-deployable methods for fine-grain analysis can inform training for wheelchair racers.
  • This approach supports data-driven training strategies for both novice and elite athletes.