Using Correlation Coefficient in Ecg Waveform for Arrhythmia Detection

Abstract

Arrhythmia is one kind of diseases that gives rise to the death and possibly forms the immedicable danger. The most common cardiac arrhythmia is the ventricular premature beat. The main purpose of this study is to develop an efficient arrhythmia detection algorithm based on the morphology characteristics of arrhythmias using correlation coefficient in ECG signal. Subjects for experiments included normal subjects, patients with atrial premature contraction (APC), and patients with ventricular premature contraction (PVC). So and Chan's algorithm was used to find the locations of QRS complexes. When the QRS complexes were detected, the correlation coefficient and RR-interval were utilized to calculate the similarity of arrhythmias. The algorithm was tested using MIT-BIH arrhythmia database and every QRS complex was classified in the database

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“…In Ref. [61], authors used a standard PVC template to recognize these beats. Absolutely, using standard PVC template fails to recognize all PVC beats since PVC beats can have different shapes and morphologies.…”

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“…Then correlation coefficients [14] are computed. For the final decision on the cluster median majority, 2 out of the first 3 coefficients is used.…”

Evaluation of Morphology of Premature Ventricular Contraction on 12-Lead Electrocardiogram

“…Premature ventricular contraction (PVC) is the most common cardiac arrhythmia in patients with or without any kind of diagnosed cardiac diseases 1 . PVC is an extra heart beat originates from the ventricles and comes before the normal heart beat.…”