The advantages of non-invasive, real-time and convenient, computer audition-based heart
sound abnormality detection methods have increasingly attracted efforts among the …

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 …

Remote photoplethysmography (rPPG) measurement aims to estimate physiological signals
by analyzing subtle skin color changes induced by heartbeats in facial videos. Existing …

Heart-related disorders are rapidly growing throughout the world. Artificial Intelligence with
computational methods plays a significant role in early detection and diagnosis. This study …

Heart sounds convey important information regarding potential heart diseases. Currently,
heart sound classification attracts many researchers from the fields of telemedicine, digital …

Objective To develop a deep learning algorithm to perform multi-class classification of
normal pediatric heart sounds, innocent murmurs, and pathologic murmurs. Methods We …

Recent studies have shown the potential of the Data-Efficient Image Transformer (DeiT)-
based transfer learning method in speech/image recognition and classification utilizing …

Cardiac auscultation, exhibited by phonocardiogram (PCG), is a non-invasive and low-cost
diagnostic method for cardiovascular diseases (CVDs). However, deploying it in practice is …