New adaptive thresholding-based ECG R-peak detection technique

Lazhar Kheriji, Asiya M. Al-Busaidi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The QRS complexes (R-peaks) in the electrocardiogram (ECG) signals are essential features as they provide information for the diagnosis of heart diseases. Because detection accuracy is a major concern in clinical practices, most of the detection methods are complex and computationally expensive. However, in ubiquitous healthcare (u-healthcare), the energy consumption is a question; thus, detection time has to be minimized. In this paper, we propose a new intelligent detection algorithm, which minimizes detection time while maintaining a good level of detection performance. Experimental results, in detecting the R-peaks in 30 minutes long records, showed that the proposed algorithm has achieved an Se (sensitivity) of 99.63% and a +P (positive predictivity) of 99.50% outperforming the well-known algorithms from literature.

Original languageEnglish
Title of host publication4th IEEE Middle East Conference on Biomedical Engineering, MECBME 2018
PublisherIEEE Computer Society
Pages147-152
Number of pages6
Volume2018-March
ISBN (Electronic)9781538614617
DOIs
Publication statusPublished - Jul 3 2018
Event4th IEEE Middle East Conference on Biomedical Engineering, MECBME 2018 - Tunis, Tunisia
Duration: Mar 28 2018Mar 30 2018

Other

Other4th IEEE Middle East Conference on Biomedical Engineering, MECBME 2018
CountryTunisia
CityTunis
Period3/28/183/30/18

Keywords

  • ECG
  • QRS complex
  • R-peak
  • u-healthcare

ASJC Scopus subject areas

  • Biomedical Engineering

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  • Cite this

    Kheriji, L., & Al-Busaidi, A. M. (2018). New adaptive thresholding-based ECG R-peak detection technique. In 4th IEEE Middle East Conference on Biomedical Engineering, MECBME 2018 (Vol. 2018-March, pp. 147-152). IEEE Computer Society. https://doi.org/10.1109/MECBME.2018.8402423