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A new strategy for multifunction myoelectric control

B Hudgins1, P Parker, R N Scott

  • 1Institute of Biomedical Engineering, University of New Brunswick, Fredericton, Canada.

IEEE Transactions on Bio-Medical Engineering
|January 1, 1993
PubMed
Summary
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This study introduces a new method for controlling multifunction prostheses by analyzing myoelectric patterns. This approach allows for more functions to be controlled with less effort for amputees.

Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Neuroprosthetics

Background:

  • Myoelectric control is crucial for prosthetic limb function.
  • Current systems often have limitations in the number of controllable functions or require extensive user training.
  • Understanding the inherent structure of myoelectric signals is key to improving control.

Purpose of the Study:

  • To develop a novel control scheme for multifunction prostheses.
  • To leverage the deterministic structure of myoelectric signals during muscle contraction.
  • To enhance prosthesis functionality without increasing amputee effort.

Main Methods:

  • Classification of myoelectric patterns using artificial neural networks.
  • Extraction of features from specific time segments of the myoelectric signal.

Related Experiment Videos

  • Derivation of control signals from natural muscle contraction patterns.

    • Main Results:

    • Myoelectric signals show a deterministic structure during initial muscle contraction.
    • The proposed feature extraction preserves essential pattern structure.
    • Artificial neural networks effectively classify these features.
    • The control scheme enables more functions per myoelectric channel without added user strain.

    Conclusions:

    • A novel, effective myoelectric pattern classification method for prosthesis control has been demonstrated.
    • This approach allows for intuitive and reliable control of multiple prosthesis functions.
    • The findings suggest a significant advancement in intuitive prosthetic limb control for amputees.