Causal connectivity brain network: A novel method of motor imagery classification for brain-computer interface applications

Proceedings - 2012 International Conference on Computing, Measurement, Control and Sensor Network, CMCSN 2012

Volumn , Issue , 2012, Pages 87-90

  Chen, Dongwei ^a,b   Li, Haifang ^b   Yang, Yanli ^b   Chen, Junjie ^b  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

^b TAIYUAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Brain computer interface; Effective connectivity; Granger causality; Motor imagery; Source analysis

Indexed keywords

BRAIN NETWORKS; BRAIN-COMPUTER INTERFACE APPLICATIONS; BRAIN-COMPUTER INTERFACES (BCI); CAUSAL RELATIONS; CLASSIFICATION RATES; CORE REGION; CORTICAL ACTIVITY; EFFECTIVE CONNECTIVITY; EQUIVALENT DIPOLE ANALYSIS; GRANGER CAUSALITY; GRAPH-THEORETIC METHODS; HUMAN SUBJECTS; MOTOR IMAGERY; MOTOR IMAGERY CLASSIFICATION; SOURCE ANALYSIS;

ELECTROPHYSIOLOGY; GRAPH THEORY; SENSOR NETWORKS;

BRAIN COMPUTER INTERFACE;

EID: 84866622777     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CMCSN.2012.23     Document Type: Conference Paper

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