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The human leg comprises an intricate system of muscles that facilitate the movement of feet and toes. Within this system, the muscles are categorized into the anterior, lateral, and posterior compartments, each with a unique set of muscles carrying out specific functions.
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How Precisely Can Easily Accessible Variables Predict Achilles and Patellar Tendon Forces during Running?

René B K Brund1, Rasmus Waagepetersen2, Rasmus O Nielsen3,4

  • 1Sport Sciences-Performance and Technology, Department of Health Science and Technology, Aalborg University, 9220 Aalborg, Denmark.

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New algorithms can predict patellar and Achilles tendon forces during running using accessible data. These predictive algorithms outperform running distance for injury prevention insights.

Keywords:
Achilles tendonGarminalgorithminjuriespatellar tendonsports medicinewearables

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Area of Science:

  • Biomechanics
  • Sports Medicine
  • Running Injury Prevention

Background:

  • Patellar and Achilles tendinopathies are common running injuries.
  • Predicting cumulative tendon forces may aid injury prevention.
  • Accessible data collection outside lab settings is crucial for practical application.

Purpose of the Study:

  • To develop algorithms for predicting patellar and Achilles tendon force and impulse during running.
  • To utilize easily accessible running data for these predictions.
  • To compare the predictive performance of these algorithms against running distance.

Main Methods:

  • Collected running data from 24 recreational runners using Xsens suit and Garmin Forerunner 735XT.
  • Recorded data at three different running speeds.
  • Employed mixed-effects multiple regression to model tendon forces and training load variables.

Main Results:

  • Developed twelve algorithms to predict patellar or Achilles tendon peak force and impulse per stride.
  • The developed algorithms demonstrated superior predictive performance compared to using running distance alone.

Conclusions:

  • Algorithms utilizing accessible running data can effectively predict patellar and Achilles tendon forces and impulses.
  • These novel algorithms offer a more accurate approach to monitoring running load for injury prevention than traditional distance metrics.