A principal component regression approach for estimation of ventricular repolarization characteristics

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 5, 2010, Pages 1062-1069

  Lipponen, Jukka Antero ^a   Tarvainen, Mika P ^a   Laitinen, Tomi ^b   Lyyra Laitinen, Tiina ^b   Karjalainen, Pasi A ^a  

^a UNIVERSITY OF EASTERN FINLAND   (Finland)

^b KUOPIO UNIVERSITY HOSPITAL   (Finland)

Author keywords

ECG; Principal component regression (PCR); QT time; T wave; Ventricular repolarization

Indexed keywords

CARDIAC DISEASE; CORRELATION MATRIX; ECG; EIGENVECTORS; LOW SNR; NON-STATIONARITIES; PRINCIPAL COMPONENT REGRESSION; REPOLARIZATION; ROBUST METHODS; TIME INTERVAL; VENTRICULAR ACTIVITY; VENTRICULAR ARRHYTHMIAS; VENTRICULAR REPOLARIZATION; WAVE AMPLITUDES;

EIGENVALUES AND EIGENFUNCTIONS; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; INSULIN; REGRESSION ANALYSIS;

PRINCIPAL COMPONENT ANALYSIS;

ARTICLE; CORRELATION ANALYSIS; ELECTROCARDIOGRAPHY; HEART REPOLARIZATION; HYPOGLYCEMIA; PRINCIPAL COMPONENT ANALYSIS; QT INTERVAL; R WAVE; T WAVE AMPLITUDE;

ACTION POTENTIALS; ANIMALS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY; HEART CONDUCTION SYSTEM; HUMANS; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; VENTRICULAR FUNCTION;

EID: 77951279266     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2009.2037492     Document Type: Article

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