IMPROVEMENT OF ECG SIGNALS ANALYSIS BASED ON WAVELET CONVERSION IN HIGH-RESOLUTION ELECTROCARDIOGRAPHY SYSTEM

Authors

  • V. I. Dubrovin
  • U. V. Tverdokhleb

DOI:

https://doi.org/10.15588/1607-3274-2011-1-17

Keywords:

electrocardiogram, P-QRS-T waves, wavelet conversion.

Abstract

In this paper we present an improved method of ECG signals delineation based on continuous wavelet conversion and single-scale approach. The algorithm permits to detect nine reference points in all ECG parts: onset, peak and offset of T wave, QRS complex and P wave. The implemented algorithm significantly increases the accuracy of P wave and T wave detection, which was the problem of the previous methods. We propose also the improved method of ECG signals filtering from noise as updating of the wavelet-thresholding methods.

Downloads

Published

2011-08-12

How to Cite

Dubrovin, V. I., & Tverdokhleb, U. V. (2011). IMPROVEMENT OF ECG SIGNALS ANALYSIS BASED ON WAVELET CONVERSION IN HIGH-RESOLUTION ELECTROCARDIOGRAPHY SYSTEM. Radio Electronics, Computer Science, Control, (1). https://doi.org/10.15588/1607-3274-2011-1-17

Issue

No. 1 (2011): Radio Electronics, Computer Science, Control

Section

Neuroinformatics and intelligent systems

License

Copyright (c) 2014 V. I. Dubrovin, U. V. Tverdokhleb

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Creative Commons Licensing Notifications in the Copyright Notices

The journal allows the authors to hold the copyright without restrictions and to retain publishing rights without restrictions.

The journal allows readers to read, download, copy, distribute, print, search, or link to the full texts of its articles.

The journal allows to reuse and remixing of its content, in accordance with a Creative Commons license СС BY -SA.

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License CC BY-SA that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.