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Related Experiment Video

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Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
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Model-based development of a user control algorithm for postural control via a FES-based standing neuroprosthesis.

B P Heilman1, R F Kirsch

  • 1Department of Veterans Affairs Medical Center, Cleveland, OH, USA.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 3, 2007
PubMed
Summary

This study developed an algorithm for functional electrical stimulation (FES) neuroprostheses, enabling users to control body center of mass (COM) movement. A 16-channel FES system can help users shift postures, improving mobility after spinal cord injury.

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Area of Science:

  • Biomedical Engineering
  • Neuroprosthetics
  • Rehabilitation Robotics

Background:

  • Functional electrical stimulation (FES) neuroprostheses offer potential for restoring mobility in individuals with spinal cord injury.
  • Controlling the body's center of mass (COM) is crucial for posture and movement.
  • Existing FES systems face challenges in providing intuitive user control over complex movements.

Purpose of the Study:

  • To develop an algorithm enabling users to command desired center of mass (COM) transitions using smooth changes in lower extremity joint angles.
  • To assess the feasibility of using a 16-channel FES system for controlling COM movement.
  • To identify effective muscle activation patterns for posture control in individuals with thoracic spinal cord injury.

Main Methods:

  • Simulations were conducted using a modified musculoskeletal model representing an individual with thoracic spinal cord injury.
  • A 16-channel FES system was simulated to control lower extremity joint angles.
  • Polynomial surfaces were fitted to the relationship between COM position (COMx, COMy) and four lower extremity joint angles.

Main Results:

  • Useful subsets of 16 muscles were identified for effective FES control.
  • Four polynomial surfaces provided a robust method for selecting smooth COM trajectories.
  • Simulations demonstrated that a 16-channel FES system can enable posture shifts comparable to able-bodied individuals.

Conclusions:

  • The developed algorithm and identified muscle subsets show promise for intuitive FES neuroprosthesis control.
  • A 16-channel FES system is capable of facilitating significant postural adjustments, enhancing user mobility.
  • This approach could lead to improved functional recovery and independence for individuals with spinal cord injury.