Validity and Reliability of Inertial Motion Unit-Based Performance Metrics During Wheelchair Racing Propulsion
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 athle...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/6/1680 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850088093793648640 |
|---|---|
| author | Raphaël Ouellet Katia Turcot Nathalie Séguin Alexandre Campeau-Lecour Jason Bouffard |
| author_facet | Raphaël Ouellet Katia Turcot Nathalie Séguin Alexandre Campeau-Lecour Jason Bouffard |
| author_sort | Raphaël Ouellet |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-4eed85d2a4b34f159b5600bbb7a536e3 |
| institution | DOAJ |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-4eed85d2a4b34f159b5600bbb7a536e32025-08-20T02:43:06ZengMDPI AGSensors1424-82202025-03-01256168010.3390/s25061680Validity and Reliability of Inertial Motion Unit-Based Performance Metrics During Wheelchair Racing PropulsionRaphaël Ouellet0Katia Turcot1Nathalie Séguin2Alexandre Campeau-Lecour3Jason Bouffard4Département de Kinésiologie, Faculté de Médecine, Université Laval, Québec, QC G1V 0A6, CanadaDépartement de Kinésiologie, Faculté de Médecine, Université Laval, Québec, QC G1V 0A6, CanadaClub d’athlétisme de l’Université Laval, Québec, QC G1V 0A6, CanadaCentre Interdisciplinaire de Recherche en Réadaptation et Intégration Sociale (CIRRIS), CIUSSS de la Capitale Nationale, Québec, QC G1M 2S8, CanadaDépartement de Kinésiologie, Faculté de Médecine, Université Laval, Québec, QC G1V 0A6, CanadaThis 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.https://www.mdpi.com/1424-8220/25/6/1680adapted sportsreproducibility of resultsbiomechanicsaccelerometryinertial sensor |
| spellingShingle | Raphaël Ouellet Katia Turcot Nathalie Séguin Alexandre Campeau-Lecour Jason Bouffard Validity and Reliability of Inertial Motion Unit-Based Performance Metrics During Wheelchair Racing Propulsion Sensors adapted sports reproducibility of results biomechanics accelerometry inertial sensor |
| title | Validity and Reliability of Inertial Motion Unit-Based Performance Metrics During Wheelchair Racing Propulsion |
| title_full | Validity and Reliability of Inertial Motion Unit-Based Performance Metrics During Wheelchair Racing Propulsion |
| title_fullStr | Validity and Reliability of Inertial Motion Unit-Based Performance Metrics During Wheelchair Racing Propulsion |
| title_full_unstemmed | Validity and Reliability of Inertial Motion Unit-Based Performance Metrics During Wheelchair Racing Propulsion |
| title_short | Validity and Reliability of Inertial Motion Unit-Based Performance Metrics During Wheelchair Racing Propulsion |
| title_sort | validity and reliability of inertial motion unit based performance metrics during wheelchair racing propulsion |
| topic | adapted sports reproducibility of results biomechanics accelerometry inertial sensor |
| url | https://www.mdpi.com/1424-8220/25/6/1680 |
| work_keys_str_mv | AT raphaelouellet validityandreliabilityofinertialmotionunitbasedperformancemetricsduringwheelchairracingpropulsion AT katiaturcot validityandreliabilityofinertialmotionunitbasedperformancemetricsduringwheelchairracingpropulsion AT nathalieseguin validityandreliabilityofinertialmotionunitbasedperformancemetricsduringwheelchairracingpropulsion AT alexandrecampeaulecour validityandreliabilityofinertialmotionunitbasedperformancemetricsduringwheelchairracingpropulsion AT jasonbouffard validityandreliabilityofinertialmotionunitbasedperformancemetricsduringwheelchairracingpropulsion |