Open AccessLess computational approach to detect QRS complexes in ECG rhythms
Author(s) -
Tariq M. Younes,
Mohammad Alkhedher,
Mohamad Al Khawaldeh,
Jalal M. Nawash,
Ibrahim Al-Abbas
Publication year - 2020
Publication title -
computer science and information technologies
Language(s) - English
Resource type - Journals
eISSN - 2722-323X
pISSN - 2722-3221
DOI - 10.11591/csit.v2i3.p113-120
Subject(s) - qrs complex , computer science , pattern recognition (psychology) , sensitivity (control systems) , signal (programming language) , artificial intelligence , filter (signal processing) , speech recognition , computer vision , electronic engineering , medicine , engineering , cardiology , programming language
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.