High-density EEG and independent component analysis mixture models distinguish knee contractions from ankle contractions

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 4195-4198

  Gwin, Joseph T ^a   Ferris, Daniel ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN HEMISPHERES; CURRENT DIPOLES; EEG SIGNALS; EQUIVALENT CURRENT DIPOLE; HIGH-DENSITY; HUMAN MOTOR; ICA MIXTURE MODEL; INDEPENDENT COMPONENT ANALYSIS MIXTURE MODEL; INDEPENDENT COMPONENTS; INVERSE MODELING; MIXTURE MODEL; MOTOR ACTIONS; MOTOR IMAGERY; MOTOR TASKS; PRIOR KNOWLEDGE; SINGLE TRIAL; SINGLE-TRIAL EEG; SPATIAL CHARACTERISTICS;

BRAIN; BRAIN MODELS; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; INDEPENDENT COMPONENT ANALYSIS; INVERSE PROBLEMS; MIXTURES; MODELS;

BRAIN COMPUTER INTERFACE;

ANKLE; ARTICLE; ELECTROENCEPHALOGRAPHY; HUMAN; KNEE; METHODOLOGY; PATHOPHYSIOLOGY; THEORETICAL MODEL;

ANKLE; ELECTROENCEPHALOGRAPHY; HUMANS; KNEE; MODELS, THEORETICAL;

EID: 84863567627     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091041     Document Type: Conference Paper

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