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Estimation of Wandering ECG Signal Baseline Using Detection of Characteristic Points in PQRST Complex for Avoiding Distortions in Complex Morphology

  • Joanna Śledzik
  • Mirosława Stelengowska
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 95)

Abstract

This paper presents an approach for wandering baseline correction in electrocardiographic signal for diagnostic purposes. It presents problems of distortions of ECG signal caused by environment and physiological reasons, particulary - the ECG baseline wandering problem. The main goal of this paper is to present method for dealing with ECG baseline wander - estimation (by B-spline interpolation) of baseline, developed by authors on the basis of cubic spline interpolation method introduced by Fabio Badilini[3] and extended by using additional detected PQRST characteristic points in order to get better fitness. The experiments with comparison to F. Badilini method are made on artificial signals with various heart rate and ST segment morphology parameters with respiration effect (the respiration mechanism is the main cause of ECG baseline wander).

Keywords

Root Mean Square Error High Heart Rate Respiration Mechanism Spline Interpolation Method Root Mean Square Error Error 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Joanna Śledzik
    • 1
  • Mirosława Stelengowska
    • 1
  1. 1.Institute of Medical Technology and EquipmentZabrzePoland

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