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Updated: Jun 12, 2025

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
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Movement-Based Prosthesis Control with Angular Trajectory Is Getting Closer to Natural Arm Coordination.

Effie Segas1, Vincent Leconte1, Emilie Doat1

  • 1University of Bordeaux, CNRS, INCIA, UMR, 5287 Bordeaux, France.

Biomimetics (Basel, Switzerland)
|September 27, 2024
PubMed
Summary

New myoelectric hand controls for trans-humeral prostheses offer smoother, more intuitive object grasping. These advanced controls adapt to user movement, improving prosthetic function without increasing workload for amputees.

Keywords:
artificial neural networkhuman–robot interactionmovement-basedprosthesis controltrans-humeral limb deficiency

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Rehabilitation Robotics

Background:

  • Traditional myoelectric trans-humeral prostheses lack intuitive control over multiple degrees of freedom.
  • Previous artificial neural network (ANN) approaches enabled natural arm performance for object grasping but resulted in impractical, abrupt prosthesis movements.

Purpose of the Study:

  • To develop and evaluate novel myoelectric control methods for trans-humeral prostheses that eliminate abrupt movements.
  • To assess the performance, usability, and workload of new angular trajectory-based controls in participants with and without limb loss.

Main Methods:

  • Implemented novel control algorithms using angular trajectories based on stump movement speed and configuration differences.
  • Tested controls offline and online with participants-in-the-loop, comparing against natural control conditions.
  • Evaluated performance metrics including movement time, object reach, and orientation accuracy.

Main Results:

  • The new controls enabled participants, including those with trans-humeral limb loss, to effectively reach and orient objects without prior training.
  • A slight increase in movement time was observed, but usability and workload were not degraded for participants with upper limb disabilities.
  • Online and offline testing demonstrated the potential for smooth, effective prosthetic hand control.

Conclusions:

  • The developed angular trajectory-based myoelectric controls offer a significant improvement for trans-humeral prostheses, providing smoother and more intuitive operation.
  • These findings suggest high potential acceptability and effectiveness for individuals with upper limb loss, paving the way for more practical prosthetic solutions.