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  • Research Article
  • Open Access

A Principal Component Regression Approach for Estimating Ventricular Repolarization Duration Variability

  • 1Email author,
  • 2,
  • 2,
  • 1 and
  • 1
EURASIP Journal on Advances in Signal Processing20072007:058358

  • Received: 28 April 2006
  • Accepted: 29 October 2006
  • Published:


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.


  • Heart Rate
  • Information Technology
  • Traditional Method
  • Time Difference
  • Quantum Information

Authors’ Affiliations

Department of Physics, University of Kuopio, P.O. Box 1627, Kuopio, 70211, Finland
Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, P.O. Box 1777, Kuopio, 70211, Finland


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© 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.