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


Vol. 40,  No. 4, pp. 731-739, Apr.  2015


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  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.

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  Cite this article

[IEEE Style]

S. Lee, J. Kim, K. Park, "PVC Detection Based on the Distortion of QRS Complex on ECG Signal," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 4, pp. 731-739, 2015. DOI: .

[ACM Style]

SeungMin Lee, Jin-Sub Kim, and Kil-Houm Park. 2015. PVC Detection Based on the Distortion of QRS Complex on ECG Signal. The Journal of Korean Institute of Communications and Information Sciences, 40, 4, (2015), 731-739. DOI: .

[KICS Style]

SeungMin Lee, Jin-Sub Kim, Kil-Houm Park, "PVC Detection Based on the Distortion of QRS Complex on ECG Signal," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 4, pp. 731-739, 4. 2015.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880