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논문검색

Processing of ECG Signals Based on Wavelet Transformation

초록

영어

In this paper present an improved method of ECG delineation approach based on the continuous wavelet transformation and singlescale approach is presented. The algorithm was design to detect nine main ECG significant points, which are QRS onset, QRS pick, QRS offset and analogous points to P wave and T wave. The implemented algorithm improvement significantly increases accuracy of the P wave and T wave detection, which was the problematic part of the previous method. An improved method of wavelet thresholding of ECG signals to remove noise characteristics is provided.

목차

Abstract
 1. Introduction
 2. Choice the Type of Wavelet
 3. Methodology
  3.1. Preprocessing
  3.2. Allocation of P-QRS-T complexes
 4. Conclusions
 References

저자정보

  • Julia Tverdohleb Department of Computer Science, Zaporizhzhya National Technical University, Zaporizhzhya, Ukraine
  • Valery I. Dubrovin Department of Computer Science, Zaporizhzhya National Technical University, Zaporizhzhya, Ukraine

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