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Predicting the Effects of Walker Height and Weight Support on Assisted Gait Using Physics-Based Predictive

Carlos Pagès Sanchis1,2, Filippo Maceratesi1,2, Míriam Febrer-Nafría1,2

  • 1Department of Mechanical Engineering and the Institute for Research and Innovation in Health, Universitat Politècnica de Catalunya, Diagonal 647, Barcelona 08028, Spain;Institut de Recerca Sant Joan de Déu, Passeig Sant Joan de Déu 2, Esplugues de Llobregat, Barcelona 08950, Spain.

Journal of Biomechanical Engineering
|April 4, 2026
PubMed
Summary

This study developed a predictive simulation framework for walker-assisted gait, successfully predicting walker height effects but partially predicting weight support effects on gait patterns.

Keywords:
muscle torque generatorsmusculoskeletal modelingoptimal controlpredictive simulationwalker-assisted gait

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Area of Science:

  • Biomechanics
  • Rehabilitation Engineering
  • Computational Modeling

Background:

  • Walker-assisted gait is crucial for rehabilitation in individuals with muscle weakness and balance issues.
  • Current simulation methods for gait analysis have limitations in predicting assistive device impacts.

Purpose of the Study:

  • To present a predictive simulation framework for walker-assisted gait.
  • To evaluate the framework's ability to predict gait alterations due to walker height and body weight support.
  • To explore the model's capacity for simulating gait in individuals with muscle weakness.

Main Methods:

  • Integration of a 3D full-body musculoskeletal model with muscle torque generators.
  • Calibration of the muscle torque model using experimental isometric and isokinetic data.
  • Execution of predictive simulations across varied walker configurations (height, weight support).

Main Results:

  • The simulation framework accurately predicted the effects of walker height on gait patterns.
  • Partial prediction accuracy was achieved for the effects of body weight support.
  • The model showed some compensatory movements in simulated ankle muscle weakness but did not fully predict propulsion impairment.

Conclusions:

  • The developed framework is a promising tool for optimizing walker-assisted gait through simulation.
  • Further refinement is needed to fully predict the impact of weight support and muscle weakness on gait.
  • This simulation approach offers potential for personalized rehabilitation strategies.