Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography

Area of Science:

• Rehabilitation Robotics
• Biomedical Engineering
• Neuroprosthetics

Background:

• Controlling prosthetic devices remains a significant challenge in rehabilitation robotics.
• Current prosthetic technology has not met user expectations despite extensive research.
• Non-invasive human-machine interfaces (PMI) are crucial for advancing prosthetic capabilities.

Purpose of the Study:

• To provide an overview of the state-of-the-art in non-invasive peripheral nervous system (PNS)-machine interfaces (PMI).
• To explore future perspectives and challenges in the field of PMI for prosthetic applications.
• To consolidate expert opinions from a dedicated international workshop.

Main Methods:

• The study is based on a collection of opinions and insights from researchers involved in the first international workshop on PMI.
• Focuses on non-invasive signal acquisition from the peripheral nervous system (PNS).
• Targeted primarily at upper-limb amputees and their prosthetic control needs.

Main Results:

• Significant gaps exist between the current state of prosthetic control and desired performance.
• Non-invasive PMI, utilizing surface signals from the PNS, represent a key area for development.
• The workshop identified critical areas for future research and technological advancement.

Conclusions:

• Further research and development in non-invasive PMI are essential to improve prosthetic device control.
• Collaboration and shared expertise are vital for overcoming current limitations in the field.
• The future of prosthetic control lies in effectively harnessing PNS signals non-invasively.