The possibility of deploying and commercializing BMI/BCI-based solutions requires researchers, manufacturers, and regulatory bodies to ensure these devices comply with well-defined criteria on their safety and effectiveness. BMI/BCI systems typically require integration of multiple sub-components comprising measuring and analysis of neural activity, and provision of feedback to the user through different means (including displays, virtual reality systems, haptic interfaces and exo-skeletons, among others). The lack of specific standards on neurotechnologies for BMI/BCI hinders the interoperability, and regulatory compliance of new devices and in consequence, consists a barrier for industrial applications to access a wide market.

Axes of BMI technology

To address this issue, I chair the group on Neurotechnologies for Brain-Machine Interface, This IEEE Standards Industry Connections activity launched in May 2017, gathers diverse stakeholders across neurotechnologies, research institutions, industry and government agencies to identify and address gaps in the existing standards in Brain-Machine Interfacing (BMI). It also aims to raise awareness of the importance of standards in the field.

Our working group has contributed to the OECD working paper on “Responsible Innovation for Neurotechnology Enterprises” released in Autumn 2019, and will soon release a Standards Roadmap: Neurotechnologies for Brain-Machine Interfacing. This document aims at providing an overview of the existing and developing standards in the field of neurotechnologies for brain-machine interfacing. It is mainly focused on systems that provide a closed-loop interaction with artificial devices based on information extracted from measures of the activity in the nervous systems.

Website: IEEE Standards Association group on Neurotechnologies for Brain-Machine Interface


Recent Activities (Selection)

Sponsors and partners

IEEE Brain Initiative  IEEE EMBS IEEE SMC IEEE Standards Association