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Related Experiment Videos

Command control for functional electrical stimulation hand grasp systems using miniature accelerometers and

K Y Tong1, A F T Mak, W Y Ip

  • 1Jockey Club Rehabilitation Engineering Centre, Hong Kong Polytechnic University, Kowloon, Hong Kong. k.y.tong@polyu.edu.hk

Medical & Biological Engineering & Computing
|December 23, 2003
PubMed
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New miniature sensors enhance functional electrical stimulation (FES) systems by detecting upper limb movements for improved hand grasp control. This approach shows high success rates in both healthy and spinal cord injured individuals.

Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Neuroprosthetics

Background:

  • Functional electrical stimulation (FES) systems can restore function for individuals with paralysis.
  • Current FES control systems often lack reliability and robustness.
  • Miniature sensors offer potential for improved FES system performance.

Purpose of the Study:

  • To investigate a novel control approach for FES systems using miniature gyroscope and accelerometer sensors.
  • To evaluate the efficacy of these sensors in detecting upper limb voluntary movements for FES control.
  • To assess sensor performance across different body placements and subject groups.

Main Methods:

  • Utilized miniature gyroscope and accelerometer sensors to detect linear acceleration and angular velocity of upper limb movements.

Related Experiment Videos

  • Developed a detection algorithm to identify a distinctive movement waveform for generating command signals.
  • Tested the controller on five healthy and three cervical spinal cord injured subjects with sensors placed on the shoulder, upper arm, wrist, and hand.
  • Controlled FES hand grasp patterns using the generated command signals.

    • Main Results:

    • The sensor-based controller achieved high success rates: 85-100% in healthy subjects and 82-97% in spinal cord injured subjects.
    • The detection algorithm demonstrated a specificity of 0.9.
    • Sensor performance varied by placement: gyroscope was superior at the wrist and hand, while the accelerometer was better at the shoulder.

    Conclusions:

    • Miniature gyroscope and accelerometer sensors provide a reliable and robust method for controlling FES hand grasp patterns.
    • This sensor-based approach significantly improves FES system functionality for individuals with upper limb impairments.
    • Optimal sensor placement is crucial for maximizing control accuracy in FES applications.