Interpretation of Cardio Vascular Diseases using Electrocardiogram: A Study

Abstract

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 ($\boldsymbol{R}\boldsymbol{R}$ interval, $\boldsymbol{P}\boldsymbol{R}$ interval, $\boldsymbol{Q}\boldsymbol{T}$ interval, $\boldsymbol{Q}\boldsymbol{R}\boldsymbol{S}$ width, $\boldsymbol{S}\boldsymbol{T}$ segment) and amplitudes ($\boldsymbol{Q}\boldsymbol{R}\boldsymbol{S}, \boldsymbol{P}$ and $\boldsymbol{T}$). These ECG parameters help in guiding the clinicians to diagnose accurately. In this paper, we have reviewed different abnormalities of $\boldsymbol{P}, \boldsymbol{Q}\boldsymbol{R}\boldsymbol{S}\& \boldsymbol{T}$ 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.