Principal component regression approach for QT variability estimation

被引：0
|
作者：
Karjalainen, P. A. [1 ]
Tarvainen, M. P. [1 ]
Laitinen, T. [1 ]
机构：
[1] Univ Kuopio, Dept Appl Phys, FIN-70211 Kuopio, Finland
来源：
2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7 | 2005年
关键词：
D O I：
10.1109/IEMBS.2005.1616624
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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.
引用
收藏
页码：1145 / 1147
页数：3
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