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Surface Electromyographic Biofeedback as a Rehabilitation Tool for Patients with Global Brachial Plexus Injury Receiving Bionic Reconstruction

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A compact-sized surface EMG sensor for myoelectric hand prosthesis.

Alok Prakash¹, Shiru Sharma¹, Neeraj Sharma¹

¹School of Biomedical Engineering, Indian Institute of Technology (BHU), Varanasi, 221005 India.

Biomedical Engineering Letters

|December 5, 2019

Summary

This summary is machine-generated.

This study introduces a new, affordable surface electromyography (sEMG) sensor for myoelectric prostheses. The developed sensor offers improved signal quality and faster response times, enabling better control of prosthetic devices.

Keywords:

Control scheme Grasp types Myoelectric prosthesis Signal-to-noise ratio (SNR)Surface electromyography

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Area of Science:

Biomedical Engineering
Prosthetics and Orthotics
Signal Processing

Background:

Myoelectric prostheses rely on reliable surface electromyography (sEMG) signal acquisition.
Existing sEMG devices suffer from high cost, slow response, noise, low sensitivity, and large size.

Purpose of the Study:

To develop a compact, affordable, and high-performance sEMG sensor for prosthetic applications.
To evaluate the performance of the developed sensor against commercial alternatives.

Main Methods:

Designed a single-package sEMG sensor integrating electrode interface, signal conditioning, and power supply.
Compared dry electrodes with conventional Ag/AgCl electrodes.
Utilized tuned RC parameters for envelope detection to generate smooth EMG envelopes.
Tested the sensor on 10 subjects (3 amputees, 7 healthy) and a 3D-printed prosthetic hand.

Main Results:

The developed sensor demonstrated 1.4 times higher signal-to-noise ratio (SNR) and 45% greater sensitivity than a commercial sensor.
The proposed sensor exhibited a 57% faster response time.
Amputees successfully controlled a 3D-printed prosthetic hand with proportional control, achieving delicate grasping.

Conclusions:

The proposed compact and affordable sEMG sensor significantly outperforms commercial devices in key metrics.
This technology enables improved control and functionality for myoelectric prostheses, particularly for amputees.