Unsupervised learning of electrocorticography motifs with binary descriptors of wavelet features and hierarchical clustering

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Volumn , Issue , 2014, Pages 2657-2660

  Pluta, Tim ^b   Bernardo, Roman ^b   Shin, Hae Won ^a   Bernardo, D R ^b  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN COMPUTER INTERFACE; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; INTERFACES (COMPUTER);

ELECTROCORTICOGRAPHY; GAMMA ACTIVITIES; HIER-ARCHICAL CLUSTERING; NEURAL PATTERNS; POTENTIAL UTILITY; SPATIOTEMPORAL NETWORKS; WAVELET FEATURE EXTRACTIONS; WAVELET FEATURES;

DATA MINING;

ALGORITHM; BRAIN COMPUTER INTERFACE; CLUSTER ANALYSIS; ELECTROENCEPHALOGRAPHY; HUMAN; LEARNING; PROCEDURES; WAVELET ANALYSIS;

ALGORITHMS; BRAIN-COMPUTER INTERFACES; CLUSTER ANALYSIS; ELECTROENCEPHALOGRAPHY; HUMANS; LEARNING; WAVELET ANALYSIS;

EID: 84929493200     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2014.6944169     Document Type: Conference Paper

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