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.

fYear

2006

Firstpage

1145

Lastpage

1147

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IEMBS.2005.1616624

Filename

1616624

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1606847