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

**Authors:** Raphaël Ouellet, Katia Turcot, Nathalie Séguin, Alexandre Campeau-Lecour, Jason Bouffard

PMC · DOI: 10.3390/s25061680 · Sensors (Basel, Switzerland) · 2025-03-08

## TL;DR

This study assesses how well motion sensors can measure wheelchair racing performance, finding they are reliable and useful for training both novices and elite athletes.

## Contribution

The study introduces a field-applicable method using inertial motion units to reliably measure wheelchair racing performance metrics.

## Key findings

- Test–retest reliability of metrics ranged from moderate to good for most parameters.
- High correlations were found between inertial motion units and Lidar systems for most metrics.
- Wheelchair athletes outperformed novice participants in propulsion performance.

## Abstract

This study aims to evaluate the concurrent validity and test–retest reliability of wheelchair racing performance metrics. Thirteen individuals without disabilities and experience in wheelchair racing were evaluated twice while performing maximal efforts on a racing wheelchair. Three wheelchair athletes were also assessed to compare their performance with novice participants. The wheelchair kinematics was estimated using an inertial motion unit (IMU) positioned on the frame and a light detection and ranging (Lidar) system. The propulsion cycle (PC) duration, acceleration, average speed, speed gains during acceleration, and speed loss during deceleration were estimated for the first PC and stable PCs. The test–retest reliability was generally moderate (0.50 ≤ ICC < 0.75) to good (0.75 ≤ ICC < 0.90), while few metrics showed poor reliability (ICC < 0.50). High to very high correlations were obtained between both systems for 10 out of 11 metrics (0.78–0.99). Wheelchair athletes performed better than novice participants. Our results suggest that integrated accelerometer data could be used to assess wheelchair speed characteristics over a short distance with a known passage time. Such fine-grain analyses using methods usable in the field could allow for data-informed training in novice and elite wheelchair racing athletes.

## Full-text entities

- **Genes:** PCSK1 (proprotein convertase subtilisin/kexin type 1) [NCBI Gene 5122] {aka BMIQ12, NEC1, PC1, PC1/3, PC3, SPC3}, PC (pyruvate carboxylase) [NCBI Gene 5091] {aka PCB}
- **Diseases:** pain (MESH:D010146), injury to (MESH:D014947), WRAs (MESH:D001265)
- **Chemicals:** IMU (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11946350/full.md

## References

48 references — full list in the complete paper: https://tomesphere.com/paper/PMC11946350/full.md

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Source: https://tomesphere.com/paper/PMC11946350