Design and Development of Tool to Predict Heart Diseases

Abstract

Sudden Cardiac Arrest is one of the major causes for death. Death is due to loss of functioning of heart. Cardiac arrhythmias and coronary heart diseases are two main reasons leading to cardiac arrest. The diseases which lead to cardiac arrest are Ischemia, Myocardial Infarction, Chamber
enlargement, Sinus node problem. ECG is an important diagnostic tool for assessing heart condition. The cardiac diseases mentioned above affect ECG. Thus, ECG can be used to investigate possible
abnormalities in the heart and prevent death. The paper discusses the tool developed that can be used to diagnose the above diseases from the ECG at early stage to preventive action in time. The tool
developed in the paper, diagnoses a patient, if he is suffering from a heart disease by analyzing the ECG. In developing the tool, initial part done is to digitize the scanned ECG image. For digitizing the
ECG image different morphological operations have being used. At the last the digitized image is being stored in vector form. Then the features of ECG i.e., P, QRS-T waves would be extracted. Thus,
after feature extraction, these features would be used to diagnose the above mentioned abnormalities in heart. The ECG is analyzed, and the changed features of ECG (P-wave, QRS complex and T wave
amplitude and intervals) are extracted, the disease is predicted by the program developed using python language and advise is given to the patient if he should consult to a cardiologist. The tool developed is simple, user friendly and handy.