The goal of this program is to bring together diverse stakeholders across neurotechnologies, research institutions, industry and government agencies to identify and address gaps in the existing standards for Brain-Machine Interfacing (BMI)/Brain Computer Interface (BCI) based solutions.
Neurotechnologies for Brain-Machine Interface Standards Roadmap Now Available for Public Comments!
This roadmap provides an overview of the existing and developing standards in the field of neurotechnologies for brain-machine interfacing. The focus is on systems that provide a closed-loop interaction with artificial devices based on information extracted from measurements of activity in the nervous system. The document also includes recommendations on the priorities for standardization. Please download the standards roadmap (PDF) and submit comments here.
Interest in BMI/BCI is consistently growing and state-of-the-art research is currently being tested on its intended end-users. Translation from laboratory proof-of concepts to viable clinical and assistive solutions, as well as consumer applications entails a large set of challenges.
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.
We welcome new participants from academy, industry and government agencies that are interested in neurotechnologies including, but not limited neural acquisition systems (Neuroimaging, EEG, ECoG, and multiunit activity), electrostimulation at central (TMS, tDCS, tACS) and peripheral (FES) levels. Individuals who are interested in related technologies comprising virtual reality systems and gaming, haptic devices, rehabilitation robotics, as well as, wellness devices, healthcare and rehabilitation, gaming applications and others should also participate and get involved.
Possible Industry Outcomes
Proposed deliverables and outcomes from this Industry Connections activity may include documents (e.g., white papers, reports), proposals for standards, conferences and workshops, databases, computer code, etc.
Expected impact in multiple markets including:
How to Participate
To learn how to join the Neurotechnologies for Brain-Machine Interfacing team, please express your interest by sending an inquiry to: