Open Access

A Principal Component Regression Approach for Estimating Ventricular Repolarization Duration Variability

  • Mika P. Tarvainen1Email author,
  • Tomi Laitinen2,
  • Tiina Lyyra-Laitinen2,
  • Juha-Pekka Niskanen1 and
  • Pasi A. Karjalainen1
EURASIP Journal on Advances in Signal Processing20072007:058358

https://doi.org/10.1155/2007/58358

Received: 28 April 2006

Accepted: 29 October 2006

Published: 8 January 2007

Abstract

Ventricular repolarization duration (VRD) is affected by heart rate and autonomic control, and thus VRD varies in time in a similar way as heart rate. VRD variability is commonly assessed by determining the time differences between successive R- and T-waves, that is, RT intervals. Traditional methods for RT interval detection necessitate the detection of either T-wave apexes or offsets. In this paper, we propose a principal-component-regression- (PCR-) based method for estimating RT variability. The main benefit of the method is that it does not necessitate T-wave detection. The proposed method is compared with traditional RT interval measures, and as a result, it is observed to estimate RT variability accurately and to be less sensitive to noise than the traditional methods. As a specific application, the method is applied to exercise electrocardiogram (ECG) recordings.

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Authors’ Affiliations

(1)
Department of Physics, University of Kuopio
(2)
Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital

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Copyright

© Mika P. Tarvainen et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.