Decoding Articulation Motor Imagery Using Early Connectivity Information in the Motor Cortex: A Functional Near-Infrared Spectroscopy Study
Author:
Affiliation:
1. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China
2. Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China
Funder
National Natural Science Foundation of China
Shenzhen Sustainable Support Program for High-Level University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation
Link
http://xplorestaging.ieee.org/ielx7/7333/10031624/09975316.pdf?arnumber=9975316
Reference50 articles.
1. EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations
2. Global Cortical Network Distinguishes Motor Imagination of the Left and Right Foot
3. Feature extraction of four-class motor imagery EEG signals based on functional brain network
4. EEG-based Classification of Lower Limb Motor Imagery with Brain Network Analysis
5. Investigating EEG-based functional connectivity patterns for multimodal emotion recognition
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