Study Of Pcg And Ecg Based Cardiovascular Abnormality

Abstract

Cardiovascular diseases are an ever-widening barrier in todays civilization. Due to poor diet, physical inactivity, anxiety, and inadequate cleanliness, people were influenced by heart-related disorders. newlineThe World Health Organisation recently listed that 31% of world death rate is due to cardiovascular newlinediseases. At least 75% of the 31% worlds mortality rate, due to heart diseases happen in low and newlinemiddle-income countries. Hence, for middle-income countries like India, that need early treatment newlineusing low cost and high-efficiency model based on the computer-aided diagnosis (CAD), is crucial. Computer aided diagnosis (CAD) methods assist by providing an alternative approach to the newlinephysicians or cardiologists because of their lower cost and time efficiency while analysing cardiac newlineabnormalities. newlineOver the past decades, cardiologists introduced auscultation and a Holter monitor to analyze the newlinecardiovascular abnormality using the heart sound (PCG) signal and its electrical signal (ECG) respectively. Phonocardiogram (PCG) signal and electrocardiogram (ECG) signal highlight relevant newlinedata for the prediction of heart diseases or heart-related disorder. Numerous methods have been newlineintroduced by many scientists to classify or predict heart-related abnormalities. Previous work has newlinebeen focusing on analyzing the heart abnormality based on the segmentation of the cardiac cycle newlineusing the PCG signal despite its drawbacks. Based on single-lead ECG signals, researchers predict newlinethe sleep related respiratory disorder (Obstructive sleep apnea or OSA) that may direct to the heart newlineabnormality. In the previous work, it has been listed that all the analyst failed to improve the sensitivity and accuracy of the OSA based prediction model. Therefore, this thesis centres on enhancing newlinethe performance of heart anomaly detection based on the PCG and ECG signals by eliminating all newlinethe difficulties confronted in the literature.