The automated classification of heart sounds plays a significant role in the diagnosis of
cardiovascular diseases (CVDs). With the recent introduction of medical big data and …

Heart sound auscultation has been applied in clinical usage for early screening of
cardiovascular diseases. Due to the high demand for auscultation expertise, automatic …

Heart sound analysis plays an important role in early detecting heart disease. However,
manual detection requires doctors with extensive clinical experience, which increases …

Abstract Objective: Cardiovascular Diseases (CVDs) can be effectively treated when
detected early, reducing mortality rates significantly. Traditionally, Phonocardiogram (PCG) …

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 …

Cardiovascular diseases (CVDs) is considered a serious public health problem due to the
uncertainty of its onset. Consuming wearable devices have increasing popularities for …

Cardiac auscultation is an essential point-of-care method used for the early diagnosis of
heart diseases. Automatic analysis of heart sounds for abnormality detection is faced with …

Despite a recent wealth of data and information, the healthcare sector is lacking in
actionable knowledge. The healthcare industry faces challenges in essential areas like …

Heart sound auscultation is a physical examination routinely used in clinical practice to
identify potential cardiac abnormalities. However, accurate interpretation of heart sounds …

Heart valve disease (HVD) is a common disease that affects millions of people worldwide.
Early detection and treatment are essential for improving the prognosis of patients with HVD …