ECG Beat Diagnosis Approach for ECG Printout Based on Expert System

An Electrocardiogram (ECG) is a bioelectrical signal which records the heart's electrical activity versus time. It is a method used to measure the rate and regularity of heartbeats. This paper introduces a way of automating the diagnosis of cardiac disorders using an expert system designed on the basis of information derived from the analysis of (ECG) using Microsoft Visual studio.net. The system was tested and evaluated by human experts working in (medical). For this paper the shape of ECG is used to diagnose ECG beat in five types such as normal beats (N), Sinus Bradycardia beat, Sinus Tachycardia beat, Supraventricular Tachycardia (SVT) and Atrial Fibrillation (A-fib) beat. The ECG image from ECG printout is processed by some image processing techniques such as red grid removing, noise rejection, and image thinning firstly, then, combining Detection component of ECG signal(P,QRS,T) based on Time- series ECG are obtained. In addition, other features of the signal are obtained to be used as final features for diagnosis.

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