Dr. O'Sullivan Co-Authors New Paper on using Neural Networks with fNIRS for Brain Computer Interface Published in IEEE

Author: Nicholas Ross

Robin Dale CNN fNIRS BCI paper cover image

This research led by our collaborators at the University of Birmingham (UK) introduces a novel and effective brain computer interface (BCI) model using functional near-infrared spectroscopy (fNIRS), a noninvasive alternative to modern day BCIs. BCIs can be used to connect individual's brains with computers in order to restore speech, movement, and a sense of normality to those affected by a neurological injury or disorder. 

 

Citation & link:

R. Dale, T. D. O'sullivan, S. Howard, F. Orihuela-Espina and H. Dehghani, "System Derived Spatial-Temporal CNN for High-Density fNIRS BCI," in IEEE Open Journal of Engineering in Medicine and Biology, vol. 4, pp. 85-95, 2023, doi: 10.1109/OJEMB.2023.3248492.