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Ankle Fracture Gait Training Through Musical Feedback: case study.

Luisa Cedin1, Christopher Knowlton1, Christopher Ferrigno2

  • 1Department of Orthopedic Surgery, Rush University Medical Center, Chicago, IL.

JOSPT Cases
|April 21, 2025
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Summary

This study used musical biofeedback to improve gait after trimalleolar ankle fractures. The novel approach enhanced mobility, functionality, and plantar pressure distribution in a patient case.

Keywords:
ankle fracturebiofeedbackcase reportgaitsonification

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Area of Science:

  • Orthopedics
  • Physical Therapy
  • Rehabilitation Medicine

Background:

  • Trimalleolar ankle fractures frequently cause significant mobility and gait deficits.
  • Current rehabilitation strategies lack a standardized approach.
  • Biofeedback shows promise for improving gait in various patient populations.

Purpose of the Study:

  • To investigate the efficacy of customized musical biofeedback for gait retraining after trimalleolar ankle fracture.
  • To address the need for innovative rehabilitation methods to improve functional outcomes.

Main Methods:

  • A 56-year-old male with a trimalleolar ankle fracture received standard surgical fixation and physical therapy.
  • Customized musical biofeedback using pressure-sensing insoles was integrated into gait training sessions.
  • The biofeedback provided real-time cues to promote medial weight loading and reduce avoidance behaviors.

Main Results:

  • Significant improvements were observed in mobility and overall functionality.
  • Gait analysis revealed enhancements in stance phase and stride length.
  • Plantar pressure distribution and total force loading showed positive changes post-intervention.

Conclusions:

  • This case study demonstrates the potential of customized, pressure-based musical biofeedback as a novel gait training tool for trimalleolar ankle fracture recovery.
  • The findings suggest that this approach can help normalize plantar pressure and improve the push-off phase of gait.
  • Further research is warranted to validate these findings in larger cohorts.