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An Ultra-Sensitive Modular Hybrid EMG-FMG Sensor with Floating Electrodes.

Ang Ke¹, Jian Huang¹, Luyao Chen²

¹Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China.

Sensors (Basel, Switzerland)

|August 28, 2020

Summary

This study introduces a novel, integrated myoelectric and forcemyography (EMG-FMG) sensor for prosthetic control. The hybrid sensor achieves high accuracy in hand gesture recognition, even with signal interference.

Keywords:

EMG FMG floating electrodes hybrid sensor

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Area of Science:

Biomedical Engineering
Rehabilitation Engineering
Sensor Technology

Background:

Myoelectric prosthetics often rely on single-modal signals, limiting reliability and safety.
Combining electromyography (EMG) and forcemyography (FMG) offers a practical approach to enhance prosthetic control.
Existing hybrid EMG-FMG sensors lack integrated and compact designs.

Purpose of the Study:

To present a novel modular EMG-FMG sensor with an integrated design.
To evaluate the performance and robustness of the developed hybrid sensor system.
To assess the accuracy of hand gesture recognition using the EMG-FMG sensor.

Main Methods:

Development of a modular sensor system with eight identical sensing modules featuring novel floating electrodes for both EMG and FMG.
System comprises one data acquisition unit and multiple sensor modules.
Experimental evaluation of sensor performance under standard conditions and with signal interference (two layers of gauze).

Main Results:

The EMG and FMG signals demonstrated good consistency under standard conditions.
The FMG signal exhibited superior and more robust performance compared to the EMG signal.
Average accuracy for recognizing six hand gestures reached 99.07% using combined EMG-FMG signals under standard conditions.
With two layers of gauze, EMG-only accuracy was 90.9%, while combined EMG-FMG accuracy improved to 99.42%.

Conclusions:

The novel modular EMG-FMG sensor offers an integrated and compact solution for prosthetic control.
The hybrid sensor system provides high accuracy and robustness in hand gesture recognition.
This technology has the potential to significantly improve the reliability and safety of myoelectric prosthetic control.