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Wearable sensor and machine learning accurately estimate tendon load and walking speed during immobilizing boot
Medrxiv : the Preprint Server for Health Sciences
|June 19, 2023
Summary
Wearable sensors can accurately track Achilles tendon loading and walking speed during rehabilitation. Personalized models using this data significantly improve prediction accuracy for better patient recovery monitoring.
Area of Science:
- Biomechanics
- Rehabilitation Engineering
- Wearable Technology
Background:
- Achilles tendon injuries require progressive weight-bearing for healing, but lab-based monitoring doesn't reflect real-world loading.
- Current rehabilitation monitoring lacks real-world, long-term loading data, hindering accurate functional assessment.
Conclusions:
- A wearable sensor paradigm using LASSO regression can accurately predict Achilles tendon loading and walking speed.
- This system offers a clinically viable method for longitudinal monitoring of patient activity during Achilles tendon injury recovery.
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