Transformer architectures have become increasingly popular in healthcare applications.
Through outstanding performance in natural language processing and superior capability to …

Phonocardiogram (PCG) signals generated by the heart contain information about heart
conditions. This review examines how PCG analysis identifies and diagnoses heart issues …

Infrared (IR) image small target detection and identification is a massive challenge with vast
applications in essential places such as military industries and airports. Homoplastically, the …

Cardiovascular disease (CVD) is the leading cause of death worldwide. Accurate and early
diagnosis of cardiovascular disease (CVD) is essential for its timely treatment and …

Analyzing the condition and function of the heart is very important because cardiovascular
diseases (CVDs) are responsible for high mortality rates worldwide and can lead to strokes …

Analyzing phonocardiogram (PCG) signals is getting popularity because of its noninvasive
test procedures for the early detection of heart-valve-related diseases. Unlike traditional …

Heart sound is an important physiological signal that contains rich pathological information
related with coronary stenosis. Thus, some machine learning methods are developed to …

Heart valve defects (HVDs) are commonly analyzed by using heart sound or
phonocardiogram (PCG) signals. In many cases, additional information along with PCG …

The objective of this study is to develop an automated clinically relevant diagnostic
framework for a group of cardiovascular diseases, namely, valvular heart diseases (VHDs) …

Heart sound analysis is a non-invasive and economical technique that can aid in diagnosing
cardiovascular disease. A novel End-to-End heart sound classification method was …