Hybrid EEG-fNIRS Brain Computer Interface Based on Common Spatial Pattern by Using EEG-Informed General Linear Model
Author:
Affiliation:
1. College of Automation, Hangzhou Dianzi University, Hangzhou, China
2. Department of Biomedical Engineering, University of Houston, Houston, TX, USA
Funder
National Nature Science Foundation of China
Zhejiang Provincial Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10128878.pdf?arnumber=10128878
Reference54 articles.
1. Coupled oxygenation oscillation measured by NIRS and intermittent cerebral activation on EEG in premature infants
2. Brain Electrodynamic and Hemodynamic Signatures Against Fatigue During Driving
3. Decoding human mental states by whole-head EEG+fNIRS during category fluency task performance
4. Decoding four different sound-categories in the auditory cortex using functional near-infrared spectroscopy
5. Efficient resting-state EEG network facilitates motor imagery performance
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