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Pattern Recognition of a Digital ECG

  • Marjan Gusev
  • Aleksandar Ristovski
  • Ana Guseva
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 665)

Abstract

The process of assisted ECG diagnosing mimics the way a medic would act upon. Such a process inevitably comprises the feature extraction step, when the standard ECG signal components: the QRS complex, the P wave and T wave are detected. Using a pattern recognition algorithm for the purpose is one of the available options. In this article, the pattern recognition approach for the feature extraction routine is explained by analysis of consecutive steps and its effectiveness is discussed in comparison to other means of QRS complex detection.

Keywords

Pattern recognition QRS detection Performance engineering 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Marjan Gusev
    • 1
  • Aleksandar Ristovski
    • 2
  • Ana Guseva
    • 2
  1. 1.FCSESs. Cyril and Methodious UniversitySkopjeMacedonia
  2. 2.Innovation DooelSkopjeMacedonia

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