Threshold-free detection of matemal heart rate from abdominal electrocardiogram

M. Sheikh M Algunaidi, M. A. Mohd Ali

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

    3 Citations (Scopus)

    Abstract

    This work is involved the threshold-free detection of QRS complexes in an abdominal electrocardiogram (AECG) waveform. The precision in the identification of QRS complexes is of great importance for on-line maternal heart rate calculation and, will lead to on line fetal heart detection,. During the last century much work has been carried out in this field, using various methods ranging from filtering and threshold methods, through wavelet methods, to neural networks, and others, each of which has different effectiveness and weaknesses. Although their performance is generally good, but, the main weakness is that, they are threshold dependent. In the proposed algorithm a RR moving interval is calculated, based on normal maximum and minimum heart rate (HR). This has the advantage of ensuring that every R-peak is contained between the edges of the moving interval. Thus the effectiveness of this algorithm is that, it is threshold independent, and after every peak detection the RR moving interval is updated to calculate the next peak contained between its edges. The complete algorithm is implemented using MATLAB 7.4. The method is validated using 20 recorded data. The average sensitivity and average positive predictivity of the detection method are 99.05% and 99.8% respectively.

    Original languageEnglish
    Title of host publicationICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings
    Pages455-458
    Number of pages4
    DOIs
    Publication statusPublished - 2009
    Event2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09 - Kuala Lumpur
    Duration: 18 Nov 200919 Nov 2009

    Other

    Other2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09
    CityKuala Lumpur
    Period18/11/0919/11/09

    Fingerprint

    Electrocardiography
    MATLAB
    Neural networks

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition
    • Signal Processing

    Cite this

    Algunaidi, M. S. M., & Mohd Ali, M. A. (2009). Threshold-free detection of matemal heart rate from abdominal electrocardiogram. In ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings (pp. 455-458). [5478697] https://doi.org/10.1109/ICSIPA.2009.5478697

    Threshold-free detection of matemal heart rate from abdominal electrocardiogram. / Algunaidi, M. Sheikh M; Mohd Ali, M. A.

    ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings. 2009. p. 455-458 5478697.

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

    Algunaidi, MSM & Mohd Ali, MA 2009, Threshold-free detection of matemal heart rate from abdominal electrocardiogram. in ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings., 5478697, pp. 455-458, 2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09, Kuala Lumpur, 18/11/09. https://doi.org/10.1109/ICSIPA.2009.5478697
    Algunaidi MSM, Mohd Ali MA. Threshold-free detection of matemal heart rate from abdominal electrocardiogram. In ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings. 2009. p. 455-458. 5478697 https://doi.org/10.1109/ICSIPA.2009.5478697
    Algunaidi, M. Sheikh M ; Mohd Ali, M. A. / Threshold-free detection of matemal heart rate from abdominal electrocardiogram. ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings. 2009. pp. 455-458
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