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Al Khawaldeh, Mohamad
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Computer Science & IT Engineering

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Less computational approach to detect QRS complexes in ECG rhythms Younes, Tariq M.; Alkhedher, Mohammad; Al Khawaldeh, Mohamad; Nawash, Jalal; Al-Abbas, Ibrahim
Computer Science and Information Technologies Vol 2, No 3: November 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v2i3.p113-120

Abstract

Electrocardiogram (ECG) signals are normally affected by artifacts that require manual assessment or use of other reference signals. Currently, Cardiographs are used to achieve basic necessary heart rate monitoring in real conditions. This work aims to study and identify main ECG features, QRS complexes, as one of the steps of a comprehensive ECG signal analysis. The proposed algorithm suggested an automatic recognition of QRS complexes in ECG rhythm. This method is designed based on several filter structure composes low pass, difference and summation filters. The filtered signal is fed to an adaptive threshold function to detect QRS complexes. The algorithm was validated and results were checked with experimental data based on sensitivity test.
Co-Authors Al-Abbas, Ibrahim Alkhedher, Mohammad Nawash, Jalal Younes, Tariq M.