A multifunctional prosthesis control system based on time series identification of EMG signals using microprocessors

Area of Science:

• Biomedical Engineering
• Rehabilitation Engineering
• Prosthetics and Orthotics

Background:

• Advanced prosthetic control is crucial for restoring function in upper-limb amputees.
• Existing myoelectric control systems often require multiple electrode sites and complex signal processing.
• Multifunctional control remains a significant challenge in upper-limb prosthesis development.

Purpose of the Study:

• To develop and evaluate a real-time system for separating limb functions for multifunctional control of upper-limb prostheses.
• To enable intuitive and efficient control of prosthetic devices for above-elbow amputees.
• To reduce the number of required electrode sites for myoelectric control.

Main Methods:

• Utilized microprocessor hardware for real-time identification and discrimination of voluntary myoelectric signals.
• Employed a novel electrode placement strategy between muscle bellies to minimize crosstalk and acquire distinct signals.
• Focused on isometric contractions of residual limb musculature for signal generation.

Main Results:

• Achieved successful separation of several limb functions for prosthesis control.
• Demonstrated a system requiring only one to two electrode sites.
• Preliminary amputee testing yielded an 85% success rate.
• The system meets practical constraints of weight, volume, and speed.

Conclusions:

• The developed real-time myoelectric control system offers a promising solution for multifunctional upper-limb prostheses.
• The innovative electrode placement and signal processing enhance control capabilities and reduce hardware requirements.
• The high success rate in preliminary tests indicates the system's potential for clinical application and improved quality of life for amputees.