Heart blocks detection in ECG signals using time frequency distribution techniques

The electrical conduction system of the heart has an elaborate structure. A small failure in this system can put the person's life in danger. In people with heart block disease the electrical signal that controls the heartbeat is partially or completely blocked from reaching the ventricles. Ele...

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Bibliographic Details
Published in2016 24th Iranian Conference on Electrical Engineering (ICEE) pp. 1568 - 1573
Main Authors Azarnia, Ghanbar, Tinati, Mohammad Ali, Afkhami, Rashid Ghorbani
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2016
Subjects
Choi-Williams distribution
electrocardiogram signal
Electrocardiography
Heart
heart blocks
Kernel
Signal resolution
Time-frequency analysis
time-frequency distribution
time-frequency resolution
Wavelet analysis
Wavelet transforms
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DOI10.1109/IranianCEE.2016.7585771

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Summary:The electrical conduction system of the heart has an elaborate structure. A small failure in this system can put the person's life in danger. In people with heart block disease the electrical signal that controls the heartbeat is partially or completely blocked from reaching the ventricles. Electrocardiograms are used in detection of heart blocks and thus in this paper we have used it for the assessment of heart block cases. In this paper we propose a noninvasive diagnostic method based on the Choi-Williams distribution to differentiate between normal and heart block subjects. The proposed procedure in addition to detection of heart blocks provides additional information for better characterization of ECG parameters for heart block subjects. Simulation results show superior performance of our proposed algorithm with respect to the others.
DOI:10.1109/IranianCEE.2016.7585771