Purpose The aim of this study is to develop a reliable method for assisting doctors in the
early detection and diagnosis of heart disease by analyzing normal and abnormal …

针对心音信号非平稳性, 非线性的特征, 为了更直观地把心音信号的特征显示出来,
提高分类识别的高效性, 提出了一种自适应噪声完备经验模态分解 (CEEMDAN) …

Background and objective Moderate exercise contributes to good health. However,
excessive exercise may lead to cardiac fatigue, myocardial damage and even exercise …

Chronic heart failure (CHF) is a complex clinical syndrome characterised by the inability of
the heart to provide sufficient perfusion to meet the body's metabolic demands. It occurs …

Heart failure patients have become an important challenge for the healthcare system, since
they represent a medical, social and economic problem. Early heart failure diagnoses can …

Background. Korotkoff sound (KS) is an important indicator of hypertension when monitoring
blood pressure. However, its utility in noninvasive diagnosis of Chronic heart failure (CHF) …

Objective: This study aimed to compare the sensitivity and specificity of diagnosis between
the third heart sound (S3) and left ventricular ejection fraction (LVEF) in heart failure (HF) …

Abstract Artificial Intelligence (AI) and Machine Learning (ML) have made their way into
various areas in medicine and science. The focus of our chapter is primarily on the …

Decompensation episodes in chronic heart failure patients frequently result in unplanned
outpatient or emergency room visits or even hospitalizations. Early detection of these …

The aim of this work was to identify the most common approaches used in the intelligent
decision support systems employed in the diagnosis of cardiovascular diseases and identify …