Algorithm Research of ECG Characteristic Points Detection Based on Wavelet Transforms

  • Li Wang
  • Zhihong Chen
  • Xin Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7390)


This paper introduces the algorithm research of ECG characteristic points detection based on the wavelet transforms. The ECG signal is filtered by Mallat algorithm using the dyadic spline wavelets and then detected R wave on some proper scales by our algorithm against ECG including muscle contraction noise. The experiment results proved that the ECG characteristic value detection algorithm based on wavelet transforms is efficient and has important practical value in clinical diagnosis and physiological study. The future work is mainly on the better choice of comparison function to effectively adjust the relationship between speed and accuracy of detection.


ECG signal QRS complex wave Detection Wavelet transforms 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Li Wang
    • 1
    • 2
  • Zhihong Chen
    • 1
  • Xin Zhang
    • 2
  1. 1.College of Life Science and TechnologyTongji UniversityShanghaiChina
  2. 2.Shanghai Medical Instrumentation CollegeUniversity of Shanghai for Science and TechnologyShanghaiChina

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