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

    Fingerprint

    Electrocardiography
    Walsh transforms

    All Science Journal Classification (ASJC) codes

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

    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
    Salih, Sameer K. ; Aljunid, S. A. ; Maskon, Oteh ; Aljunid, Syed M. ; Yahya, Abid. / A robust approach for detecting qrs complexes of electrocardiogram signal with different morphologies. Advanced Materials Engineering and Technology II. Vol. 594-595 2014. pp. 972-979 (Key Engineering Materials).
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    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.",
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    Salih, SK, Aljunid, SA, Maskon, O, Aljunid, SM & 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, Key Engineering Materials, vol. 594-595, pp. 972-979, 2013 International Conference on Advanced Materials Engineering and Technology, ICAMET 2013, Bandung, Indonesia, 11/28/13. https://doi.org/10.4028/www.scientific.net/KEM.594-595.972

    A robust approach for detecting qrs complexes of electrocardiogram signal with different morphologies. / Salih, Sameer K.; Aljunid, S. A.; Maskon, Oteh; Aljunid, Syed M.; Yahya, Abid.

    Advanced Materials Engineering and Technology II. Vol. 594-595 2014. p. 972-979 (Key Engineering Materials; Vol. 594-595).

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

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