Predicting Tissue Loads in Running from Inertial Measurement Units
Background: Runners have high incidence of repetitive load injuries, and habitual runners often use smartwatches with embedded IMU sensors to track their performance and training. If accelerometer information from such IMUs can provide information about individual tissue loads, then running watches...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/24/9836 |
| _version_ | 1797379394771091456 |
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| author | John Rasmussen Sebastian Skejø Rasmus Plenge Waagepetersen |
| author_facet | John Rasmussen Sebastian Skejø Rasmus Plenge Waagepetersen |
| author_sort | John Rasmussen |
| collection | DOAJ |
| description | Background: Runners have high incidence of repetitive load injuries, and habitual runners often use smartwatches with embedded IMU sensors to track their performance and training. If accelerometer information from such IMUs can provide information about individual tissue loads, then running watches may be used to prevent injuries. Methods: We investigate a combined physics-based simulation and data-based method. A total of 285 running trials from 76 real runners are subjected to physics-based simulation to recover forces in the Achilles tendon and patella ligament, and the collected data are used to train and test a data-based model using elastic net and gradient boosting methods. Results: Correlations of up to 0.95 and 0.71 for the patella ligament and Achilles tendon forces, respectively, are obtained, but no single best predictive algorithm can be identified. Conclusions: Prediction of tissues loads based on body-mounted IMUs appears promising but requires further investigation before deployment as a general option for users of running watches to reduce running-related injuries. |
| first_indexed | 2024-03-08T20:23:36Z |
| format | Article |
| id | doaj.art-f51fa4ae35814f488b87fa46c0ce4def |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-08T20:23:36Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f51fa4ae35814f488b87fa46c0ce4def2023-12-22T14:40:59ZengMDPI AGSensors1424-82202023-12-012324983610.3390/s23249836Predicting Tissue Loads in Running from Inertial Measurement UnitsJohn Rasmussen0Sebastian Skejø1Rasmus Plenge Waagepetersen2Department of Materials and Production, Aalborg University, Fibigerstraede 16, 9220 Aalborg East, DenmarkDepartment of Public Health, Aarhus University, Bartholins Allé 2, 8000 Aarhus, DenmarkDepartment of Mathematical Sciences, Aalborg University, Skjernvej 4A, 9220 Aalborg East, DenmarkBackground: Runners have high incidence of repetitive load injuries, and habitual runners often use smartwatches with embedded IMU sensors to track their performance and training. If accelerometer information from such IMUs can provide information about individual tissue loads, then running watches may be used to prevent injuries. Methods: We investigate a combined physics-based simulation and data-based method. A total of 285 running trials from 76 real runners are subjected to physics-based simulation to recover forces in the Achilles tendon and patella ligament, and the collected data are used to train and test a data-based model using elastic net and gradient boosting methods. Results: Correlations of up to 0.95 and 0.71 for the patella ligament and Achilles tendon forces, respectively, are obtained, but no single best predictive algorithm can be identified. Conclusions: Prediction of tissues loads based on body-mounted IMUs appears promising but requires further investigation before deployment as a general option for users of running watches to reduce running-related injuries.https://www.mdpi.com/1424-8220/23/24/9836runninginjuriesAchilles tendonpatella ligamentIMUdata science |
| spellingShingle | John Rasmussen Sebastian Skejø Rasmus Plenge Waagepetersen Predicting Tissue Loads in Running from Inertial Measurement Units Sensors running injuries Achilles tendon patella ligament IMU data science |
| title | Predicting Tissue Loads in Running from Inertial Measurement Units |
| title_full | Predicting Tissue Loads in Running from Inertial Measurement Units |
| title_fullStr | Predicting Tissue Loads in Running from Inertial Measurement Units |
| title_full_unstemmed | Predicting Tissue Loads in Running from Inertial Measurement Units |
| title_short | Predicting Tissue Loads in Running from Inertial Measurement Units |
| title_sort | predicting tissue loads in running from inertial measurement units |
| topic | running injuries Achilles tendon patella ligament IMU data science |
| url | https://www.mdpi.com/1424-8220/23/24/9836 |
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