ISSN: 2641-3027 Open Access Archive of Biomedical Science and Engineering Engineering Group

Archive of Biomedical Science and Engineering

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    The QRS complex detection using morphological filtering

    DOI Logo 10.17352/abse.000011 CrossMark Publons Academy Harvard Library HOLLIS

    Published On: January 25, 2019 | Pages: 001 - 006

    Author(s): Taouli SA* and Bereksi-Reguig F
    This article presents a method of QRS complex detection and more precisely the R wave in an electrocardiogram (ECG) based on the mathematics morphology which calls upon the four operators’ morphology, erosion, dilation, opening and closing. These operators are combined with a window relocated which is called the structuring element. Morphological filtering uses the st ...
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