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Optimizing the acquisition and processing of surface electromyographic signals

M I Harba, P A Lynn

Journal of Biomedical Engineering

|April 1, 1981

Summary

This study introduces two methods to speed up processing of electromyographic (EMG) signals for better prosthetic control and movement analysis. These techniques reduce signal delay, enabling faster muscle state discrimination.

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Area of Science:

Biomedical Engineering
Neuroscience
Rehabilitation Technology

Background:

Electromyographic (EMG) signals are increasingly used for advanced applications like prosthetic control and human movement analysis.
Current processing delays of approximately 100 ms for EMG signals are often too long for real-time applications.

Purpose of the Study:

To investigate methods for reducing the processing delay of electromyographic (EMG) signals.
To enable faster and more effective control of prostheses and analysis of human movement.

Main Methods:

Signal pre-whitening using digital autoregressive modeling or analog filtering.
Employing a multiple electrode array for signal detection.

Main Results:

Achieved a processing delay of approximately 50 ms for EMG signals.
Demonstrated successful discrimination between multiple states within a single muscle using the developed techniques.

Conclusions:

The proposed techniques significantly reduce EMG signal processing delay.
Faster EMG signal processing is feasible and beneficial for prosthetic control and movement retraining applications.

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