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Cardiac Rhythm Analysis Using Spatial ECG Parameters and SPART Method

  • Henryk A. Kowalski
  • Andrzej Skorapski
  • Zbigniew Szymański
  • Wojciech Ziembla
  • Dariusz Wojciechowski
  • Piotr Sionek
  • Piotr Jędrasik
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2124)

Abstract

Investigation of heart rate variability is of considerable interest in physiology, clinical medicine and drug development. HRV analysis requires accurate rhythm classification. The well-known ARGUS system defines the useful method of rhythm classification. The original set of features used in this method contains 4 parameters: QRS duration, QRS height, QRS offset and QRS area. Zhou at al. showed, that the spatial features: T wave amplitude in lead V2, QRS and T axes angles in frontal plane, and QRS-T spatial angle are of utmost value for diagnostic classification of ventricular conduction defects. We studied usefulness of spatial features instead of original ones in the ARGUS system classification method. The spatial features were computed using SPART method developed by the authors. Classification results for spatial and original features are similar and close to those obtained by the original ARGUS system. The study results confirm usefulness of spatial features for automatic rhythm analysis.

Keywords

Heart Rate Variability Spatial Feature Rhythm Analysis Argus Method Body Position Change 
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 2001

Authors and Affiliations

  • Henryk A. Kowalski
    • 1
  • Andrzej Skorapski
    • 1
  • Zbigniew Szymański
    • 1
  • Wojciech Ziembla
    • 1
  • Dariusz Wojciechowski
    • 2
  • Piotr Sionek
    • 2
  • Piotr Jędrasik
    • 3
  1. 1.Institute of Computer ScienceWarsaw Technical UniversityWarsawPoland
  2. 2.Department of Clinical Bioengineering PASWolski HospitalWarsawPoland
  3. 3.Department of Paediatric CardiologyWarsaw University of MedicineWarsawPoland

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