Cardiac auscultation is one of the most conventional approaches for the initial assessment
of heart disease, however the technique is highly user-dependent and with low repeatability …

Phonocardiography, the recording and analysis of heart sounds, has become an essential
tool in diagnosing cardiovascular diseases (CVDs). In recent years, machine learning and …

In many parts of the globe, heart disease or cardiovascular disease is a leading cause of
mortality. It is a group of conditions that includes heart failure and other cardiac problems. In …

Heart auscultation is a primary and cost-effective form of clinical examination of the patient.
Phonocardiogram (PCG) is a high-fidelity recording that captures the heart auscultation …

Most current automated phonocardiogram (PCG) classification methods are relied on PCG
segmentation. It is universal to make use of the segmented PCG signals and then extract …

The analysis of phonocardiogram (PCG), although considered as well established in a
clinical application, still constitutes the valuable source of diagnostic data. Currently …

Heart sound and its recorded signal which is known as phonocardiograph (PCG) are one of
the most important biosignals that can be used to diagnose cardiac diseases alongside …

In recent years, automatic diagnosis of the state of health of the heart by employing the
phonocardiogram (PCG) has achieved remarkable success. This letter proposes a low …

This paper explores the capabilities of a sophisticated deep learning method, named Deep
Time Growing Neural Network (DTGNN), and compares its possibilities against a generally …

The phonocardiogram (PCG) is an important analysis method for the diagnosis of
cardiovascular disease, which is usually performed by experienced medical experts. Due to …