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October 11, 2025IEEE Transactions on Neural Systems and Rehabilitation EngineeringOpen Access

Reinforcement Learning Identifies Age-Related Balance Strategy Shifts

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Authors

HWHuiyi WangJKJózsef KövecsesGDGuillaume Durandau

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Overview

Neuromusculoskeletal modeling demonstrates changes in balance strategies due to sarcopenia, suggesting adaptive mechanisms.

Key Points

  • The study shows that increasing levels of sarcopenia alter balance strategies in agents.
  • An ankle and hip balancing strategy was reproduced effectively by both healthy and sarcopenic agents in simulated environments.
  • Neuromusculoskeletal modeling using reinforcement learning provided insights into balance dynamics that are ethically challenging in human trials.
  • This research emphasizes that understanding muscle actuator dynamics is crucial for developing strategies for fall prevention.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68ea72339f1bd4df558ced4fhttps://doi.org/10.1109/tnsre.2025.3619868
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The impact of muscle mass, strength, and physical functioning on postural balance in older adults with sarcopenia.2025 · 9 citations
  2. 2Aging-related changes in neuromuscular control strategies and their influence on postural stability2025
  3. 3Nonlinear Dynamics Analysis of Standing Stability in an Ankle-Knee-Hip Model2025
  4. 4Learning to stand with delays alters sensorimotor control but does not cause instability when returning to natural balance2025
  5. 5The effect of age-related sensorimotor changes on step-down strategy: a predictive simulation study2025