Title :
Principal Component Regression Approach for QT Variability Estimation
Author :
Karjalainen, P.A. ; Tarvainen, M.P. ; Laitinen, T.
Author_Institution :
Dept. of Appl. Phys., Kuopio Univ.
Abstract :
New algorithm for quantifying the variation in the QT interval of ECG recording is presented. The algorithm is based on the principal component regression where the eigenvectors of the data correlation matrix are calculated. The eigenvectors are then used for calculation of the principal components and one of them is selected to represent the information about T wave variation. The algorithm is tested using high speed ECG recording
Keywords :
eigenvalues and eigenfunctions; electrocardiography; medical signal processing; principal component analysis; regression analysis; ECG recording; QT variability estimation; T wave variation; data correlation matrix; eigenvectors; principal component regression; Additive noise; Electrocardiography; Heart rate; Heart rate interval; Hospitals; Noise measurement; Nuclear medicine; Physics; Physiology; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616624
