Cardiovascular diseases have become one of the most prevalent threats to human health
throughout the world. As a noninvasive assistant diagnostic tool, the heart sound detection …

Fetal phonocardiography (fPCG) is receiving attention as it is a promising method for
continuous fetal monitoring due to its non-invasive and passive nature. However, it suffers …

Congenital heart diseases (CHD) are the most common birth defects, and the early
diagnosis of CHD is crucial for CHD therapy. However, there are relatively few studies on …

In view of the important role of heart sound signals in diagnosing and preventing congenital
heart disease, a novel method about feature extraction and classification of heart sound …

In this paper, we present an approach for multi-channel lung sound classification, exploiting
spectral, temporal and spatial information. In particular, we propose a frame-wise …

Objective: This paper proposes a novel framework for the segmentation of phonocardiogram
(PCG) signals into heart states, exploiting the temporal evolution of the PCG as well as …

Auscultation of heart sounds is a noninvasive and less costly way for congenital heart
disease (CHD) diagnosis, especially for pediatric individuals. The deep-learning-based …

The phonocardiogram (PCG) signal deciphers the mechanical activity of the heart, and it
consists of the fundamental heart sounds (FHSs)(S1 and S2), murmurs, and other …

The high mortality rate and prevalence of cardiovascular disease (CVD) make early
detection of the disease essential. Due to its simplicity and low cost, the phonocardiogram …

Objective: Cardiac auscultation is the most practiced non-invasive and cost-effective
procedure for the early diagnosis of heart diseases. While machine learning based systems …