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A novel feature extraction for robust EMG pattern recognition.

Karan Veer1, Tanu Sharma2

  • 1a Electrical and Instrumentation Engineering Department , THAPAR University , Patiala , India ;

Journal of Medical Engineering & Technology
|March 24, 2016
PubMed
Summary

This study classifies Surface Electromyogram (SEMG) signals from upper arm muscles using an Artificial Neural Network. The research achieved a 92.50% classification rate, advancing prosthetic design.

Keywords:
ANOVAMyoelectric controlsneural networkssignal processingsimulationsurface electromyogram

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Rehabilitation Technology

Background:

  • Surface Electromyogram (SEMG) signals reflect muscle activity.
  • Accurate interpretation of SEMG is crucial for prosthetic control.
  • Existing methods require robust classification for diverse arm operations.

Purpose of the Study:

  • To evaluate and classify SEMG signals from upper arm muscles during various operations.
  • To investigate the relationship between muscle force and SEMG signal amplitude.
  • To develop an effective classification system for recognizing different arm motions.

Main Methods:

  • Acquisition of SEMG data from selected upper arm muscle locations.
  • Interpretation of SEMG signals using simulated algorithms for parameter estimation.
  • Application of statistical techniques for muscle force-amplitude analysis.
  • Classification of SEMG signals using an Artificial Neural Network (ANN) model.

Main Results:

  • ANN classifier demonstrated a high average classification rate of 92.50%.
  • Identified specific arm operations that are easier to recognize based on SEMG patterns.
  • Established a correlation between muscle force and SEMG signal amplitude.

Conclusions:

  • ANNs are highly effective for discriminating SEMG signals and classifying arm motions.
  • The findings support the development of advanced prosthetic devices.
  • This research contributes to more powerful, flexible, and efficient prosthetic designs.