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

Physiological conditions that prevent heart valves from functioning precisely to ensure
proper blood circulation are known as heart valve disorder (HVD). Detection of HVD is …

Heart rate classification is a challenging problem primarily due to spectral overlap of normal
heart sound with internal sources like extra heart sounds, extra systole, murmurs, respiration …

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

Background Heart sound plays a vital role to achieve an accurate diagnosis of
cardiovascular diseases, and its auxiliary diagnosis methods have become a hotspot. Aim …

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 …

Diagnosis of cardiovascular diseases using Phonocardiography (PCG) is a challenging task
as signal itself is cyclo-stationary. It has spectral contents which are overlapped by multiple …

The heart sound reflects the movement status of the cardiovascular system and contains the
early pathological information of cardiovascular diseases. Automatic heart sound diagnosis …

Background and aims: Auscultation is a cheap and fundamental technique for detecting
cardiovascular disease effectively. Doctors' abilities in auscultation are varied. Sometimes …

Background In the current genomic era, gene expression datasets have become one of the
main tools utilized in cancer classification. Both curse of dimensionality and class imbalance …