Article
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Preserved in Portico This version is not peer-reviewed
Predicting Tissue Loads in Running from Inertial Measurement Units
Version 1
: Received: 21 October 2023 / Approved: 22 October 2023 / Online: 24 October 2023 (10:29:39 CEST)
A peer-reviewed article of this Preprint also exists.
Rasmussen, J.; Skejø, S.; Waagepetersen, R.P. Predicting Tissue Loads in Running from Inertial Measurement Units. Sensors 2023, 23, 9836. Rasmussen, J.; Skejø, S.; Waagepetersen, R.P. Predicting Tissue Loads in Running from Inertial Measurement Units. Sensors 2023, 23, 9836.
Abstract
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. 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 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.
Keywords
patella ligament; IMU; data science; biomechanics; public health; Running injuries; Achilles tendon
Subject
Public Health and Healthcare, Physical Therapy, Sports Therapy and Rehabilitation
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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