Feature extraction and characterization of cardiovascular arrhythmia and normal sinus rhythm from ECG signals using LabVIEW

Abstract

Electrocardiogram (ECG) is a test that represents electrical activity of heart and plays an important role in monitoring the condition of the heart. The diagnosis of cardiac condition is greatly dependent upon ECG signals. This paper presents a method of feature extraction and characterization of ECG signals for normal sinus rhythm and three different types of cardiovascular arrhythmia, namely Slow Term Atrial Fibrillation, Paroxysmal Atrial Fibrillation and Supraventricular Tachycardia. The proposed algorithm is implemented using NI LabVIEW Biomedical Workbench to perform signal processing that extracts features of ECG signal such as heart rate, QRS width, PR interval, QT interval and the RR interval which are then used to characterize both cardiovascular arrhythmia and normal sinus rhythms. About Forty-five sets of data of ECG signals are used in this work for analysis and verification and satisfactory result is obtained.