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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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An open and configurable embedded system for EMG pattern recognition implementation for artificial arms.

Jun Liu, Fan Zhang, He Helen Huang

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 9, 2015

Summary

This summary is machine-generated.

Researchers developed a portable, open-source embedded system for electromyographic (EMG) pattern recognition (PR) control of artificial arms. This system enables easier algorithm optimization and real-world testing for advanced prosthetic functionality.

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Area of Science:

Biomedical Engineering
Rehabilitation Engineering
Human-Computer Interaction

Background:

Electromyographic (EMG) signal pattern recognition (PR) has been explored for decades to control multifunctional artificial arms.
A significant barrier to daily prosthesis use is the limited assessment of EMG PR control in real-world settings.
The lack of portable and configurable embedded systems hinders the development and testing of EMG PR control outside laboratory environments.

Purpose of the Study:

To design an open and configurable embedded system for EMG PR implementation.
To provide a platform for researchers to easily modify and optimize control algorithms.
To facilitate testing of EMG PR control in non-laboratory environments, specifically for daily prosthesis use.

Main Methods:

Developed an open-source embedded system based on an embedded Linux Operating System and a Gumstix board.
Designed both hardware and software system frameworks to be open and configurable.
Ensured system flexibility in terms of inputs/outputs and calibration, enabling integration with various artificial arms.

Main Results:

The designed system is portable for take-home use, addressing a key limitation of previous systems.
Demonstrated improved processing efficiency compared to previously reported embedded systems for EMG PR.
Achieved high system precision in EMG PR implementation.

Conclusions:

The open and configurable embedded system facilitates the development and real-world testing of EMG PR control for artificial arms.
This platform supports the long-term goal of creating wearable and practical EMG PR-based prosthetic control.
The system's portability and efficiency pave the way for quantifying the benefits of EMG PR control in home settings.