System Derived Spatial-Temporal CNN for High-Density fNIRS BCI

System Derived Spatial-Temporal CNN for High-Density fNIRS BCI

An intuitive and generalisable approach to spatial-temporal feature extraction for high-density (HD) functional Near-Infrared Spectroscopy (fNIRS) brain-computer interface (BCI) is proposed, demonstrated here using Frequency-Domain (FD) fNIRS for motor-task classification. Enabled by the HD probe de...

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Bibliographic Details
Main Authors: Robin Dale, Thomas D. O'sullivan, Scott Howard, Felipe Orihuela-Espina, Hamid Dehghani
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Open Journal of Engineering in Medicine and Biology
Subjects:
fNIRS
brain-computer interface
neural network
machine learning
CNN
Online Access:https://ieeexplore.ieee.org/document/10073629/

Internet

https://ieeexplore.ieee.org/document/10073629/

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