Embedded System for Prosthetic Control Using Implanted Neuromuscular Interfaces Accessed Via an Osseointegrated...

Area of Science:

• Biomedical Engineering
• Neuroprosthetics
• Robotics

Background:

• Current prosthetic limbs lack advanced functionality, reliability, and user comfort.
• Osseointegration offers a promising approach for direct human-machine integration.
• The Osseointegrated Human-Machine Gateway is a novel interface for prosthetic applications.

Purpose of the Study:

• To develop and validate an embedded system for prosthetic limb control and sensory feedback.
• To leverage the Osseointegrated Human-Machine Gateway for enhanced prosthetic functionality.
• To create a versatile platform for research in prosthetic control and neural stimulation.

Main Methods:

• Bioelectric signal acquisition, processing, and motor intent decoding.
• Integration of a neurostimulator for direct neural sensory feedback.
• Real-time task characterization, power consumption evaluation, and myoelectric pattern recognition.

Main Results:

• The embedded system demonstrated effective bioelectric signal processing and motor intent decoding.
• Successful prosthetic control and sensory feedback were achieved.
• Validation through real-time tasks, power analysis, and pattern recognition confirmed system performance.

Conclusions:

• The developed embedded system significantly enhances prosthetic limb functionality, reliability, and comfort.
• The system proved effective in a pilot patient for daily activities.
• It serves as a robust platform for advancing prosthetic research and development.