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Orthogonal Matching Pursuit Based Classifier for Premature Ventricular Contraction Detection

  • Pavel Dohnálek
  • Petr Gajdoš
  • Tomáš Peterek
  • Lukáš Zaorálek
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 239)

Abstract

Premature Ventricular Contractions (PVCs) are a common topic of discussion among cardiologists as this type of heart arrhythmia is very frequent among the general population, often endangering people’s health. In this paper, a software system is proposed that differentiates PVCs from normal, healthy heartbeats collected in the MIT-BIH Arrhythmia Database. During classification, training data were recorded from subjects different than those from which testing data were measured, making the classifiers attempt to recognize patterns they were not trained for. A modification of the Orthogonal Matching Pursuit (OMP) based classifier is described and used for comparison with other, well-established classifiers. The absolute accuracy of the described algorithm is 87.58%. More elaboration on the results based on cross-reference is also given.

Keywords

orthogonal matching pursuit electrocardiogram heart arrhythmia pattern matching sparse approximation 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Pavel Dohnálek
    • 1
    • 2
  • Petr Gajdoš
    • 1
    • 2
  • Tomáš Peterek
    • 2
  • Lukáš Zaorálek
    • 1
    • 2
  1. 1.Department of Computer ScienceVŠB - Technical University of OstravaOstravaCzech Republic
  2. 2.IT4 Innovations, Centre of ExcellenceVŠB - Technical University of OstravaOstravaCzech Republic

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