A robust approach for detecting qrs complexes of electrocardiogram signal with different morphologies

Sameer K. Salih, S. A. Aljunid, Oteh Maskon, Syed M. Aljunid, Abid Yahya

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

Abstract

In this paper a robust approach for detecting QRS complexes and computing related R-R intervals of ECG signals named (RDQR) has been proposed. It reliably recognizes QRS complexes based on the deflection occurred between R & S waves as a large positive and negative amplitude differences in comparison with respect to other ECG signal (P and T) waves. The proposed detection approach applies the new direct algorithm applied on the entire ECG itself without any additional transform like (wavelet, cosine, Walsh transform, etc.). According to the strategy based on positive and negative deflection it overcomes the problem of QRS direction positive (upright) or negative (inverted). Three different types of ECG online database with duration of 10 sec (MIT-BIH Arrhythmia, ST Change Database and Normal Sinus Rhythm) are used to validate the detection performance. The results are demonstrated that the proposed detection approach achieved (100%) accuracy for QRS detection also very high accuracy in evaluating related R-R intervals.

Original languageEnglish
Title of host publicationAdvanced Materials Engineering and Technology II
Pages972-979
Number of pages8
Volume594-595
DOIs
Publication statusPublished - 2014
Event2013 International Conference on Advanced Materials Engineering and Technology, ICAMET 2013 - Bandung, Indonesia
Duration: Nov 28 2013Nov 29 2013

Publication series

NameKey Engineering Materials
Volume594-595
ISSN (Print)10139826

Other

Other2013 International Conference on Advanced Materials Engineering and Technology, ICAMET 2013
CountryIndonesia
CityBandung
Period11/28/1311/29/13

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering

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  • Cite this

    Salih, S. K., Aljunid, S. A., Maskon, O., Aljunid, S. M., & Yahya, A. (2014). A robust approach for detecting qrs complexes of electrocardiogram signal with different morphologies. In Advanced Materials Engineering and Technology II (Vol. 594-595, pp. 972-979). (Key Engineering Materials; Vol. 594-595). https://doi.org/10.4028/www.scientific.net/KEM.594-595.972