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Related Concept Videos

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Related Experiment Video

Updated: Jul 15, 2025

Muscle Imbalances: Testing and Training Functional Eccentric Hamstring Strength in Athletic Populations
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A Muscle Load Feedback Application for Strength Training: A Proof-of-Concept Study.

Lisa Noteboom1, Anouk Nijs1, Peter J Beek1

  • 1Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, 1081 BT Amsterdam, The Netherlands.

Sports (Basel, Switzerland)
|September 27, 2023
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Summary

Personalized muscle load feedback using a new app improved muscle load balance in strength training. The app, offering visualizations and exercise suggestions, enhanced user experience but did not significantly reduce muscle soreness.

Keywords:
feedbackinjurymusclesoverloadovertrainingresistance trainingstrength training

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Area of Science:

  • Sports Science
  • Exercise Physiology
  • Human-Computer Interaction

Background:

  • Muscle overload injuries are a risk in strength training.
  • Personalized feedback on muscle load could help prevent these injuries.
  • A novel muscle load feedback application was developed with Gymstory.

Purpose of the Study:

  • To evaluate an application providing muscle load feedback for managing muscle load balance and level.
  • To assess the impact of the feedback on muscle soreness.
  • To understand user experience with the application.

Main Methods:

  • Thirty participants were divided into control, partial, and complete feedback groups.
  • An automatic exercise tracking system monitored eight workouts.
  • Generalized estimation equations and ANOVA analyzed muscle load balance, soreness, and user experience.

Main Results:

  • The complete feedback group demonstrated significantly better muscle load balance.
  • This group also showed better adherence to suggested exercises and higher user experience scores (Attractiveness, Stimulation, Novelty).
  • No significant differences in muscle soreness were observed between groups.

Conclusions:

  • Personalized muscle load feedback, including visual maps and exercise suggestions, effectively guides users toward balanced cumulative muscle loads.
  • The application shows potential as a training tool to prevent muscle overload in strength training.
  • Further research may explore its impact on muscle soreness and long-term injury prevention.