Cardiovascular diseases currently pose the highest threat to human health around the
world. Proper investigation of the abnormalities in heart sounds is known to provide vital …

Heart sounds have been widely studied and have been demonstrated to have value for
detecting pathologies in clinical applications. Over the last few decades, the use of heart …

Heart sound classification plays a vital role in the early detection of cardiovascular disorders,
especially for small primary health care clinics. Despite that much progress has been made …

Financial time-series forecasting has long been a challenging problem because of the
inherently noisy and stochastic nature of the market. In the high-frequency trading …

One of the major causes of death all over the world is heart disease or cardiac dysfunction.
These diseases could be identified easily with the variations in the sound produced due to …

This study concerns the task of automatic structural heart abnormality risk detection from
digital phonocardiogram (PCG) signals aiming at pediatric heart disease screening …

Atrial Fibrillation (AF) is characterized by chaotic electrical impulses in the atria, which leads
to irregular heartbeats and can develop blood clots and stroke. Therefore, early detection of …

Heart diseases are highly ranked among the leading causes of mortality in the world. They
have various types including vascular, ischemic, and hypertensive heart disease. A large …

Automatic heart sound auscultation is one of the common used techniques for
cardiovascular diseases detection. In this paper, a novel heart sound classification method …

Deep learning-based cardiac auscultation is of significant interest to the healthcare
community as it can help reducing the burden of manual auscultation with automated …