Principal Component Regression Approach for QT Variability Estimation.
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.
Karjalainen
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Department of Applied Physics, University of Kuopio, P.O. Box 1627, FIN-70211 Kuopio, Finland. Email: Pasi.Karjalainen@uku.fi.
Tarvainen
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Laitinen
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