Automatic classification of cardiac disorders for cardiac alert system

 In the modern industrialized countries every year millions of people die due to cardiac disorders. India has highest incidence of heart related diseases in the world. The WHO’s world statistics report 2016 shows that the life expectancy in India was 68.3 years. If no initiative is taken to check this most predictable and preventable among all chronic diseases, life expectancy may further decrease. Most of the cardio vascular diseases can be preventable by taking healthy diet, doing physical activity, avoiding alcohol & tobacco. Various feature schemes have been proposed by various researchers for identification and classification of cardiac arrhythmias. There is a large variation in number of features, number of cardiac signals and classification accuracy. However, selecting better signal processing technique for feature extraction, selecting optimum set of features, choosing proper neural network classifier to improve the classification accuracy remains an open problem. This aspect is motivation to take up the issue of automatic classification of cardiac arrhythmias. This research work will enable the clinical doctors and cardiologists to diagnose type of cardiac disorder to initiate proper treatment to save the life of heart patients. Computer based analysis is paramount importance for early diagnosis of cardiac disorder for saving the life of heart patients. Most of ventricular and Atrial Arrhythmias are dangerous. If ventricular arrhythmias neglected it leads to sudden cardiac arrest. Sudden cardiac death occurs when the heart’s electrical system malfunctions.
Author(s): V.Rama and C.B.Rama Rao

Abstract | PDF

Share This Article