LABVIEW based expert system for detection of heart abnormalities

Abstract

The proposed method deals with the study and analysis of ECG signal and thereafter the detection of heart abnormalities using LabVIEW Biomedical toolkit effectively. In the first phase, ECG signal is acquired which is then followed by filtering the raw ECG signal to remove unwanted noises. The next phase focuses on extracting the features from the acquired signal. Finally, different types of abnormalities particularly Sinus Bradycardia, Sinus Tachycardia, Supraventricular Tachycardia (SVT) Abnormal, Atrial Flutter and 1 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">st</sup> degree AV Block are detected on the basis of features obtained. Thus the developed system predicts the heart abnormalities of a person, even before him/her consulting a doctor (preliminary investigation). The technique is user-friendly, low cost and hence anyone skeptic of heart problem can analyze his/her ECG using this efficient method.