Myoelectric signal processing for control of powered limb prostheses

Area of Science:

• Biomedical Engineering
• Rehabilitation Engineering
• Signal Processing

Background:

• Myoelectric control technology development has historically alternated focus between control methodology and hardware.
• Advancements over 50 years have progressed from single muscle control to multifunction prostheses using muscle group activity.
• Extracting information from myoelectric signals is central to these technological changes.

Purpose of the Study:

• To provide an overview of the myoelectric signal processing challenge.
• To examine the historical perspective of myoelectric signal processing.
• To outline the state-of-the-art and future directions in myoelectric signal processing for prosthesis control.

Main Methods:

• Overview of myoelectric signal processing techniques.
• Historical analysis of technological progression.
• Review of current state-of-the-art methods.

Main Results:

• Significant progress has been made in developing reliable myoelectric communication channels.
• The field has evolved from single-function to multifunction prosthesis control.
• Improvements in signal processing have enabled more sophisticated myoelectric control.

Conclusions:

• Myoelectric control technology has achieved considerable progress, offering reliable communication for users.
• The field is poised for further exciting developments and innovations.
• Continued focus on signal processing is key to future advancements in prosthetic control.