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http://dx.doi.org/10.7840/kics.2015.40.4.731

PVC Detection Based on the Distortion of QRS Complex on ECG Signal  

Lee, SeungMin (Kyungpook National University Graduate School of Electronics Engineering)
Kim, Jin-Sub (Kyungpook National University Graduate School of Electronics Engineering)
Park, Kil-Houm (Kyungpook National University Department of Information Security)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.40, no.4, 2015 , pp. 731-739 More about this Journal
Abstract
In arrhythmia ECG signal, abnormal beat that has various abnormal shape depending on the generation site and conduction disorders is included and it is very important to diagnose heart disease such as arrhythmia. In this paper, we propose a PVC abnormal beat detection algorithm associated with ventricular disease. The PVC abnormal beat is characterized by distortion of the QRS complex occurs among the components of the ECG signal. Therefore it is possible to detect PVC abnormal beat according to the degree of distortion of the QRS complex. First, quantify the distortion of the QRS complex by using the potential of the R-peak, kurtosis and period. By using the mean and standard deviation, PVC abnormal beat is detected depending on the degree of distortion from the normal beat. The proposed algorithm can detect the average over 98% of the AAMI-V class type abnormal beat associated with ventricular disease in MIT-BIH arrhythmia database.
Keywords
ECG; Abnormal Heartbeat; Abnormal Heartbeat Detection; R-wave;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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