A Comprehensive Framework for the Modelling of Cartesian Force Output in Human Limbs

Area of Science:

• Biomedical Engineering
• Neurorehabilitation
• Robotics

Background:

• Neuromuscular functional electrical stimulation (FES) is vital for rehabilitation and neuroprosthetic assistance.
• Precise, selective muscle stimulation, especially for the upper extremity, remains a significant challenge.

Purpose of the Study:

• To present MyoCeption, a novel system for intuitive musculoskeletal modeling and high-resolution proportional muscle stimulation.
• To enable advanced control strategies like open-loop force control and impedance control for neurological patients.

Main Methods:

• Development of the MyoCeption system with 10-channel, 16-bit resolution proportional stimulation.
• Integration of intuitive musculoskeletal modeling and body tracking for closed-loop control.
• Experimental validation of the MyoCeption control environment against a third-party simulation suite.

Main Results:

• The MyoCeption system demonstrated effective proportional muscle stimulation.
• Musculoskeletal models within MyoCeption showed qualitatively similar muscle geometries compared to a baseline model.
• The system's control environment was experimentally validated.

Conclusions:

• MyoCeption offers a comprehensive and self-contained solution for advanced FES applications.
• The system supports diverse applications including rehabilitation, virtual reality, and teleoperation.
• The validated musculoskeletal model enhances the potential for precise FES control.