Application of kernel principal component analysis for single-lead-ECG- derived respiration

IEEE Transactions on Biomedical Engineering

Volumn 59, Issue 4, 2012, Pages 1169-1176

  Widjaja, Devy ^a   Varon, Carolina ^a   Dorado, Alexander ^a   Suykens, Johan A K ^a   Van Huffel, Sabine ^a  

^a Katholieke Universiteit Leuven   (Belgium)

Author keywords

ECG derived respiration (EDR); kernel principal component analysis (kPCA)

Indexed keywords

ECG-DERIVED RESPIRATION (EDR); HIGHER-DIMENSIONAL; KERNEL FUNCTION; KERNEL PCA; KERNEL PRINCIPAL COMPONENT ANALYSES (KPCA); MAGNITUDE SQUARED COHERENCES; NONLINEAR MAPPINGS; PEAK AMPLITUDE; PRINCIPAL COMPONENT ANALYSIS (PCA); RADIAL BASIS FUNCTIONS; RBF KERNELS; RESPIRATORY SIGNALS; STATISTICALLY SIGNIFICANT DIFFERENCE;

ALGORITHMS; ELECTROCARDIOGRAPHY; RADIAL BASIS FUNCTION NETWORKS;

PRINCIPAL COMPONENT ANALYSIS;

ADULT; AGED; ALGORITHM; ARTICLE; BREATHING PATTERN; ELECTROCARDIOGRAM; ELECTRODIAGNOSIS; HEART RATE VARIABILITY; HUMAN; KERNEL PRINCIPAL COMPONENT ANALYSIS; NORMAL HUMAN; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL ANALYSIS;

ADULT; AGED; ALGORITHMS; DATA INTERPRETATION, STATISTICAL; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY; HEART RATE; HUMANS; MALE; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; RESPIRATORY RATE; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 84858988462     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2186448     Document Type: Article

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