Interpretation of Cardio Vascular Diseases using Electrocardiogram: A Study

Electrocardiogram (ECG) plays an important role to eliminate diagnostic errors arises in Cardio-Vascular Disease (CVD). Delineation of ECG gives various necessary features which consists of intervals&segments (RR interval, PR interval, QT interval, QRS width, ST segment) and amplitudes (QRS, P and T). These ECG parameters help in guiding the clinicians to diagnose accurately. In this paper, we have reviewed different abnormalities of P, QRS&T wave and cardiac rhythm. These abnormalities will lead towards different diseases: Myocardial Infarction (MI), Bundle Branch Block (BBB), Ventricular Hypertrophy (VH), Supraventricular Tachycardia (ST), Wolff-Parkinson White Syndrome (WPWS), Sick Sinus Syndrome (SSS) etc. Further we have done pre-processing using digital filter design (IIR & FIR) with the help of MATLAB and comparison has been made on the basis of their simplicity, phase response and computational complexity.