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Showing papers by "Tomi Laitinen published in 2005"

Proceedings Article•DOI•
Principal Component Regression Approach for QT Variability Estimation

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Pasi A. Karjalainen, M.R. Tarvainen, Tomi Laitinen
01 Jan 2005
TL;DR: A new algorithm for quantifying the variation in the QT interval of ECG recording is presented, based on the principal component regression where the eigenvectors of the data correlation matrix are calculated.
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

4 citations

Estimation of Ventricular Repolarization Duration Variability from Electrocardiogram by Principal Component Regression

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Juha-Pekka Niskanen1, Mika P. Tarvainen, Tomi Laitinen, Pasi A. Karjalainen•
University of Eastern Finland1
01 Jan 2005
TL;DR: A new algorithm for quantifying the variation in the ventrical repolarization duration, i.e. the QT interval of ECG recording, is presented, based on the Principal Component Regression.
Abstract: New algorithm for quantifying the variation in the ventrical repolarization duration, i.e. 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.

1 citations