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A low-cost, wearable sEMG sensor for upper limb prosthetic application.

Alok Prakash1, Bindu Kumari1, Shiru Sharma1

  • 1School of Biomedical Engineering, IIT BHU , Varanasi , India.

Journal of Medical Engineering & Technology
|August 16, 2019
PubMed
Summary

A new, low-cost surface electromyography (sEMG) sensor offers superior performance for myoelectric prostheses. This advanced EMG sensor provides enhanced signal detection and faster response times, improving prosthetic control.

Keywords:
Surface electromyographycontrolmyoelectric prosthesisresponse timesensitivity

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Area of Science:

  • Biomedical Engineering
  • Rehabilitation Engineering
  • Prosthetics and Orthotics

Background:

  • Myoelectric prostheses rely on surface electromyography (sEMG) signals for control.
  • Existing sEMG sensors can be costly and may lack the sensitivity and speed required for intuitive prosthetic function.
  • Variability in EMG signal strength and subject differences pose challenges for reliable prosthetic control.

Purpose of the Study:

  • To develop and evaluate a low-cost, high-sensitivity surface electromyography (sEMG) sensor for myoelectric prostheses.
  • To compare the performance of the developed sEMG sensor against a commercial EMG sensor.
  • To assess the sensor's efficacy in controlling a prosthetic hand for amputees.

Main Methods:

  • A novel sEMG sensor was designed, integrating skin interface, signal conditioning, and power supply into a single package.
  • A tuned RC parameters based envelope detection scheme was employed for robust EMG signal pattern recognition.
  • Comparative analysis involved acquiring EMG signals from 10 subjects (3 amputees, 7 healthy) using both developed and commercial sensors.

Main Results:

  • The developed sEMG sensor demonstrated a 4× greater signal-to-noise ratio (SNR) compared to the commercial sensor.
  • The proposed sensor exhibited 50% higher amplitude sensitivity and a 57% faster response time.
  • Successful control of a 3D printed prosthetic hand prototype by amputees was achieved using the developed sensor.

Conclusions:

  • The developed low-cost sEMG sensor offers significantly enhanced performance metrics (SNR, sensitivity, response time).
  • These improvements enable smoother, faster, and more intuitive actuation of prosthetic hand fingers.
  • The sensor represents a promising advancement for improving the functionality and user experience of myoelectric prostheses.