KeepRunning: A MoCap-Based Rapid Test to Prevent Musculoskeletal Running Injuries
The worldwide popularisation of running as a sport and recreational practice has led to a high rate of musculoskeletal injuries, usually caused by a lack of knowledge about the most suitable running technique for each runner. This running technique is determined by a runner’s anthropometric body cha...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-11-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/23/9336 |
| _version_ | 1797399536734306304 |
|---|---|
| author | Javier Rodríguez Javier Marín Ana C. Royo Luis Padrón Manuel Pérez-Soto José J. Marín |
| author_facet | Javier Rodríguez Javier Marín Ana C. Royo Luis Padrón Manuel Pérez-Soto José J. Marín |
| author_sort | Javier Rodríguez |
| collection | DOAJ |
| description | The worldwide popularisation of running as a sport and recreational practice has led to a high rate of musculoskeletal injuries, usually caused by a lack of knowledge about the most suitable running technique for each runner. This running technique is determined by a runner’s anthropometric body characteristics, dexterity and skill. Therefore, this study aims to develop a motion capture-based running analysis test on a treadmill called KeepRunning to obtain running patterns rapidly, which will aid coaches and clinicians in assessing changes in running technique considering changes in the study variables. Therefore, a review and proposal of the most representative events and variables of analysis in running was conducted to develop the KeepRunning test. Likewise, the minimal detectable change (MDC) in these variables was obtained using test–retest reliability to demonstrate the reproducibility and viability of the test, as well as the use of MDC as a threshold for future assessments. The test–retest consisted of 32 healthy volunteer athletes with a running training routine of at least 15 km per week repeating the test twice. In each test, clusters of markers were placed on the runners’ body segments using elastic bands and the volunteers’ movements were captured while running on a treadmill. In this study, reproducibility was defined by the intraclass correlation coefficient (ICC) and MDC, obtaining a mean value of ICC = 0.94 ± 0.05 for all variables and MDC = 2.73 ± 1.16° for the angular kinematic variables. The results obtained in the test–retest reveal that the reproducibility of the test was similar or better than that found in the literature. KeepRunning is a running analysis test that provides data from the involved body segments rapidly and easily interpretable. This data allows clinicians and coaches to objectively provide indications for runners to improve their running technique and avoid possible injury. The proposed test can be used in the future with inertial motion capture and other wearable technologies. |
| first_indexed | 2024-03-09T01:42:37Z |
| format | Article |
| id | doaj.art-0238bda0b1be4ccf84bd7ab01f9b0edd |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T01:42:37Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-0238bda0b1be4ccf84bd7ab01f9b0edd2023-12-08T15:25:29ZengMDPI AGSensors1424-82202023-11-012323933610.3390/s23239336KeepRunning: A MoCap-Based Rapid Test to Prevent Musculoskeletal Running InjuriesJavier Rodríguez0Javier Marín1Ana C. Royo2Luis Padrón3Manuel Pérez-Soto4José J. Marín5IDERGO (Research and Development in Ergonomics), I3A (Instituto de Investigación en Ingeniería de Aragón), University of Zaragoza, C/María de Luna, 3, 50018 Zaragoza, SpainIDERGO (Research and Development in Ergonomics), I3A (Instituto de Investigación en Ingeniería de Aragón), University of Zaragoza, C/María de Luna, 3, 50018 Zaragoza, SpainIDERGO (Research and Development in Ergonomics), I3A (Instituto de Investigación en Ingeniería de Aragón), University of Zaragoza, C/María de Luna, 3, 50018 Zaragoza, SpainIDERGO (Research and Development in Ergonomics), I3A (Instituto de Investigación en Ingeniería de Aragón), University of Zaragoza, C/María de Luna, 3, 50018 Zaragoza, SpainIDERGO (Research and Development in Ergonomics), I3A (Instituto de Investigación en Ingeniería de Aragón), University of Zaragoza, C/María de Luna, 3, 50018 Zaragoza, SpainIDERGO (Research and Development in Ergonomics), I3A (Instituto de Investigación en Ingeniería de Aragón), University of Zaragoza, C/María de Luna, 3, 50018 Zaragoza, SpainThe worldwide popularisation of running as a sport and recreational practice has led to a high rate of musculoskeletal injuries, usually caused by a lack of knowledge about the most suitable running technique for each runner. This running technique is determined by a runner’s anthropometric body characteristics, dexterity and skill. Therefore, this study aims to develop a motion capture-based running analysis test on a treadmill called KeepRunning to obtain running patterns rapidly, which will aid coaches and clinicians in assessing changes in running technique considering changes in the study variables. Therefore, a review and proposal of the most representative events and variables of analysis in running was conducted to develop the KeepRunning test. Likewise, the minimal detectable change (MDC) in these variables was obtained using test–retest reliability to demonstrate the reproducibility and viability of the test, as well as the use of MDC as a threshold for future assessments. The test–retest consisted of 32 healthy volunteer athletes with a running training routine of at least 15 km per week repeating the test twice. In each test, clusters of markers were placed on the runners’ body segments using elastic bands and the volunteers’ movements were captured while running on a treadmill. In this study, reproducibility was defined by the intraclass correlation coefficient (ICC) and MDC, obtaining a mean value of ICC = 0.94 ± 0.05 for all variables and MDC = 2.73 ± 1.16° for the angular kinematic variables. The results obtained in the test–retest reveal that the reproducibility of the test was similar or better than that found in the literature. KeepRunning is a running analysis test that provides data from the involved body segments rapidly and easily interpretable. This data allows clinicians and coaches to objectively provide indications for runners to improve their running technique and avoid possible injury. The proposed test can be used in the future with inertial motion capture and other wearable technologies.https://www.mdpi.com/1424-8220/23/23/9336injury preventionbiomechanicsrunning patternoptical motion capture (MoCap)reproducibilityrunning technique |
| spellingShingle | Javier Rodríguez Javier Marín Ana C. Royo Luis Padrón Manuel Pérez-Soto José J. Marín KeepRunning: A MoCap-Based Rapid Test to Prevent Musculoskeletal Running Injuries Sensors injury prevention biomechanics running pattern optical motion capture (MoCap) reproducibility running technique |
| title | KeepRunning: A MoCap-Based Rapid Test to Prevent Musculoskeletal Running Injuries |
| title_full | KeepRunning: A MoCap-Based Rapid Test to Prevent Musculoskeletal Running Injuries |
| title_fullStr | KeepRunning: A MoCap-Based Rapid Test to Prevent Musculoskeletal Running Injuries |
| title_full_unstemmed | KeepRunning: A MoCap-Based Rapid Test to Prevent Musculoskeletal Running Injuries |
| title_short | KeepRunning: A MoCap-Based Rapid Test to Prevent Musculoskeletal Running Injuries |
| title_sort | keeprunning a mocap based rapid test to prevent musculoskeletal running injuries |
| topic | injury prevention biomechanics running pattern optical motion capture (MoCap) reproducibility running technique |
| url | https://www.mdpi.com/1424-8220/23/23/9336 |
| work_keys_str_mv | AT javierrodriguez keeprunningamocapbasedrapidtesttopreventmusculoskeletalrunninginjuries AT javiermarin keeprunningamocapbasedrapidtesttopreventmusculoskeletalrunninginjuries AT anacroyo keeprunningamocapbasedrapidtesttopreventmusculoskeletalrunninginjuries AT luispadron keeprunningamocapbasedrapidtesttopreventmusculoskeletalrunninginjuries AT manuelperezsoto keeprunningamocapbasedrapidtesttopreventmusculoskeletalrunninginjuries AT josejmarin keeprunningamocapbasedrapidtesttopreventmusculoskeletalrunninginjuries |