Power Spectral Density Features for Classifying Action Intention Understanding EEG Signals
Author:
Affiliation:
1. Southeast University,School of Biological Science & Medical Engineering,Nanjing,China
2. Southeast University,Zhongda Hospital,Department of Rehabilitation,Nanjing,China
Funder
Nature
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9778230/9778231/09778810.pdf?arnumber=9778810
Reference16 articles.
1. Classifying action intention understanding EEG signals based on weighted brain network metric features
2. Weighted Brain Network Metrics for Decoding Action Intention Understanding Based on EEG
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5. Understanding Actions of Others: The Electrodynamics of the Left and Right Hemispheres. A High-Density EEG Neuroimaging Study
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