EyeCatch: Data-mining over half a million EEG independent components to construct a fully-automated eye-component detector

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

Volumn , Issue , 2013, Pages 5845-5848

  Bigdely Shamlo, Nima ^a   Kreutz Delgado, Ken ^a   Kothe, Christian ^a   Makeig, Scott ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EEG DATUM; ELECTROENCEPHALOGRAPHIC (EEG); FULLY AUTOMATED; HUMAN INTERVENTION; INDEPENDENT COMPONENT ANALYSIS(ICA); INDEPENDENT COMPONENTS; MUSCLE ACTIVITIES;

AUTOMATION; BRAIN; DATA MINING; INDEPENDENT COMPONENT ANALYSIS;

EYE MOVEMENTS;

EID: 84886559705     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6610881     Document Type: Conference Paper

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