Effective QRS-Detector Based on Hilbert Transform and Adaptive Thresholding

  • Aleksandr Aleksandrovich FedotovEmail author
  • Anna S. Akulova
  • Sergey A. Akulov
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 57)


This paper considers the novel QRS-detector of ECG signal based on the consecutive application of band-pass filtering, Hilbert transform and adaptive thresholding. The robustness of various QRS-detectors for processing model ECG signals to the presence of intensive noises and artifacts was researched. The performance of the proposed method as well as some other established and well-known algorithms for QRS-detection was further verified for different recordings of clinical ECG signals from the Physionet MIT-BIH Arrhythmia database.


ECG Signal QRS-wave Detection Hilbert transform Adaptive threshold 


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Aleksandr Aleksandrovich Fedotov
    • 1
    Email author
  • Anna S. Akulova
    • 1
  • Sergey A. Akulov
    • 1
  1. 1.Department of Laser Systems and Biomedical EngineeringSamara State Aerospace UniversitySamaraRussia

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