Predicting heart disease is regarded as one of the most difficult challenges in the health-
care profession. To predict cardiac disease, researchers employed a variety of algorithms …

With conventional stethoscopes, the auscultation results may vary from one doctor to
another due to a decline in his/her hearing ability with age or his/her different professional …

In recent years, automated diagnosis of the state of health of the heart, particularly cardiac
valves, has gained great success using the phonocardiogram (PCG). This work provides a …

This study is a systematic review of literature on the classification of sounds in three domains-
Bioacoustics, Biomedical acoustics, and Ecoacoustics. Specifically, 68 conferences and …

In recent years, Cardiovascular diseases (CVDs) characterized by abnormal heart sounds
and pathological heart murmurs rise serious concern across the globe. In this work, an …

Background and objective Heart murmur characterization is a crucial part of cardiac
auscultation for determining the potential etiology and severity of heart diseases. One such …

Abstract Type 2 Diabetes (T2D) is a complex metabolic disorder defined by hyperglycemia
due to insulin resistance. There are environmental, lifestyle and genetic T2D risk factors. The …

This paper represents a new automatic method of classifying the heart sound status using
the loudness features of the heart sound. The method includes the following three main …