A Roadmap Towards Standards for Neurally Controlled End Effectors

Area of Science:

• Biomedical Engineering
• Neuroscience
• Rehabilitation Technology

Background:

• Brain-machine interfaces (BMIs) enable control of external devices using neural signals.
• Current BMI systems lack standardized end-effector interfaces, hindering interoperability.
• Research aims for seamless "plug and play" functionality between BMIs and diverse end effectors.

Purpose of the Study:

• To identify and address standardization gaps for end effectors in brain-machine interfacing (BMI).
• To propose a roadmap for standardizing end effectors used with BMI systems.
• To evaluate existing device standards for applicability to BMI end effectors.

Main Methods:

• Analysis of outcomes from an IEEE Standards Association working group on End Effectors for Brain-Machine Interfacing.
• Review of current device standards relevant to end-effector components.
• Identification of gaps in terminology, data protocols, and safety standards.

Main Results:

• Existing standards cover basic electrical and mechanical safety for end effectors.
• Significant gaps identified in unified terminology and data communication protocols.
• Patient safety and risk mitigation standards require further development for BMI applications.

Conclusions:

• Standardization of BMI end effectors is essential for reliable and consistent device performance.
• Addressing identified gaps will facilitate the development of more integrated and user-friendly BMI systems.
• A clear roadmap is needed to guide the development of comprehensive standards for BMI end effectors.