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

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.

Stepwise Detection of the QRS Complex in the ECG Signal

“…ECG 신호는 P파 QRS군, T파로 구성된 연속적인 파형으로 심실과 심방의 세포에서 분극과 재분극 활동을 나타 낸다 [2,3] . ECG 신호에서 P파, QRS군, T파의 onset과 offset에 대한 정보는 자동으로 ECG 파형의 특징점을 검출하여 심장 질환을 분석하고 진단하는데 있어 매 우 중요하며 [4,5] , ECG 신호 압축 시에도 ECG 파형의 특징점을 기반으로 압축을 하게 된다 [6] . [7,8] .…”