Real-time neural signal processing platform
A software platform to graphically author, execute and monitor brain-computer interface (BCI) workflows for research and clinical applications.
NeuroKey is software that combines and processes data from brain-computer interfaces (BCIs) and other monitoring devices in real time. It extracts information and generates commands to control assistive devices that can help restore mobility, communication and independence for people with paralysis or other nervous system disorders.
NeuroKey aims to be a complete and single solution for neural interface research and clinical use, working directly with devices to collect brain signals. NeuroKey is optimized for the analysis of large data streams from high channel count implantable BCIs but can also be integrated with multiple other acquisition devices to process data such as temperature and blood flow.
David Ibanez, Ph.D., Wyss Center Brain Machine Interface Scientist"We believe that bringing devices and data together with user-friendly software will help drive adoption of BCI technologies by clinicians and patients alike. Importantly, we hope NeuroKey will bring home-use of BCIs closer to reality."
The software is modular allowing complex algorithms to be divided into smaller steps. The basic units are called processors. These independent software modules interface with external data sources, manage assistive devices or process incoming data. Users select NeuroKey processors in the graphical user interface to easily build and interconnect their own processing pipelines.
In addition to its own default apps, which include a speller for communication, NeuroKey has an Application Programming Interface (API) to enable development of custom-made apps. The NeuroKey API allows full pipeline control and secure real-time access to large streams of data at every processor and can hence deliver results to third party applications.
Medical grade: NeuroKey is being developed as medical software to allow fast prototyping and deployment of BCI applications in accordance with the international standard IEC 62304.
Flexibility: The processing blocks are customizable so they can be easily integrated into BCI applications.
Modularity: Users drag and drop the NeuroKey processors in the graphical user interface to build and interconnect their own processing pipeline.
Data Integration: NeuroKey can interface with multiple commercial or custom-made data acquisition devices and sources in a simultaneous, scalable and synchronized way.
Developers API: Secure, controlled access to all data generated within processing pipelines at every block and in real-time.
NeuroKey clinical use cases
The NeuroKey software is suitable for use in the clinic or at home so has the potential to give people with paralysis a new level of independence.
Communication - Restore communication in completely locked-in patients by combining diverse neural and physical data sources and decoding them in real-time to enable use of a speller.
Stroke rehabilitation - Gather movement intention data to help reinforce neural pathways during stroke therapy.
Recovery from spinal cord injury - Help restore leg movement following injury by processing multiple data streams and generating spinal cord stimulation commands.
Control assistive devices in the home - Process data from multiple sources and provide command signals to activate assistive devices that help with daily activities, build independence, and improve safety and well-being at home.
If you’d like to find out more about NeuroKey and clinical applications, please contact firstname.lastname@example.org
New horizons in neural recording systems
New Wyss Center whitepaper reveals first neural signals recorded by the ABILITY brain-computer interface system and the next steps to human clinical trials to restore communication and independence for people with severe paralysis.Technology
Consortium to develop fully implantable brain-computer interface to enable communication for people with paralysis
Project will push the boundaries of real-time brain-to-speech decoding with artificial intelligence algorithms and a miniaturized, wireless device.Collaboration
Where I work: The shared dream of the ABILITY team
Project manager in Neuroengineering, Shenandoah Montamat, shares her hopes and dreams about the project she is leading, a brain computer interface (BCI) system for applications such as restoration of communication and movement for people with severe paralysisInsight