Diagnosis of Valvular Heart Regurgitation Using Auscultation of Heart Sounds (Pcg) Based on Deep Learning

Abstract

Today, several methods are used to diagnose heart diseases, include invasive methods, ECG, etc. Recently, due to the expansion of signal processing and deep learning functions, an attempt has been made to diagnose some diseases based on the signal components with non-invasive and low-cost methods. Currently, PCG signal alone is used as a primary diagnosis, and in case of primary diagnosis, by ECG and etc are used for the final determination of the disease.

Listening to the sound of the heart, which is done in the most traditional way, using medical stethoscopes, can diagnose some diseases if it is done carefully and expertly. In some medical centers, diagnos heart diseaes based on PCG is not possible due to lack of specialists or lack of facilities.

There are four main valves in the heart, for each of which there are two disorders including stenosis or insufficiency, in total these eight disorders are known as heart valvular disorders (HVD) and can be diagnosed by a specialist doctor in appropriate conditions from the murmurs created in a PCG are recognizable.

In this article, using the data obtained from the PCG signal, after removing the noise and normaleization the signal, with the help of deep learning, the existence of valvular stenosis disorders of the heart is detected.