Sparse principal component extraction and classification of long-term biomedical signals

Proceedings - IEEE Symposium on Computer-Based Medical Systems

Volumn , Issue , 2012, Pages

  Xie, Shengkun ^a   Krishnan, Sridhar ^a   Lawniczak, Anna T ^b  

^a RYERSON UNIVERSITY   (Canada)

^b UNIVERSITY OF GUELPH   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL SIGNAL; CLASSIFICATION ACCURACY; EEG SIGNALS; EVENT DETECTION; MOVING WINDOW; OBSERVATIONAL STUDY; PREDICTIVE MODELS; PRINCIPAL COMPONENT EXTRACTION; PRINCIPAL COMPONENTS; SIGNAL APPROXIMATION; SIGNAL CLASSIFICATION; SIGNAL SEGMENTATION; SPARSE PRINCIPAL COMPONENT ANALYSIS; SPARSE REPRESENTATION; SYNTHETIC DATA; TRAINING SIGNAL;

BIOELECTRIC PHENOMENA;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84867338443     PISSN: 10637125     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CBMS.2012.6266371     Document Type: Conference Paper

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