ArticleFrontiers in bioengineering and biotechnology2026
Machine learning-based estimation of structure-specific load around the ankle and knee joint during running using IMU data.
Article in Frontiers in bioengineering and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Deep learning based screening and regular assessment of adolescent idiopathic scoliosis using wearable IMU sensors.Frontiers in bioengineering and biotechnology · 2026Article
- Research progress on digital-twin-driven full life-cycle design and manufacturing of rehabilitation assistive devices.Frontiers in bioengineering and biotechnology · 2026Review
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3 authors.
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Abstract
Running imposes substantial repetitive loads on the musculoskeletal system, which can lead to running-related overuse injuries. Therefore, effective structure-specific load management is essential for both prevention and rehabilitation. However, the conventional method for estimating structure-specific load (SSL) is time intensive to execute, and the resulting data is computationally expensive to analyze. This study aims to estimate the SSL on the Achilles and the patellar tendons, and the knee and ankle joint during running from data collected by one or two inertial measurement units (IMUs). We proposed a long-short-term-memory-based model that is trained and evaluated on a dataset of 43 participants. The estimated SSL during the stance phase of a running step achieved
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