Latest AI and machine learning research in arrhythmias for healthcare professionals.
Obstructive sleep apnea (OSA) in children is a prevalent and serious respiratory condition linked to...
BACKGROUND: It is difficult to identify patients with atrial fibrillation (AF) most likely to respon...
Sleep apnea, a fatal sleep disorder causing repetitive respiratory cessation, requires immediate int...
Calcium ions (Ca) are crucial for various physiological processes, including neurotransmission and c...
Purpose Federated training is often challenging on heterogeneous datasets due to divergent data stor...
Electrocardiogram (ECG) signals are crucial in diagnosing cardiovascular diseases (CVDs). While wave...
The bidirectional interactions between brain and heart through autonomic nervous system is the prime...
BACKGROUND: Cardiac arrest (CA) is the sudden cessation of heart function, typically resulting in lo...
BACKGROUND: Heart muscle damage from myocardial infarction (MI) is brought on by insufficient blood ...
In recent years, wearable devices such as smartwatches and smart patches have revolutionized biosign...
INTRODUCTION: Hypertrophic cardiomyopathy (HCM) is a leading cause of sudden cardiac death in younge...
Cardiovascular disease (CVD) is caused by the abnormal functioning of the heart which results in a h...
This study aimed to develop a real-time, noninvasive hyperkalemia monitoring system for dialysis pat...
Cardiovascular disease (CVD) poses a significant challenge to global health, with cardiac arrhythmia...
BACKGROUND: As the incidence and prevalence of Atrial Fibrillation (AF) proliferate worldwide, the c...
OBJECTIVE: In Long-Term Monitoring (LTM), noise significantly impacts the quality of the electrocard...
In recent years, machine learning has gained substantial attention for its ability to predict comple...
BACKGROUND: Detecting subtle patterns of atrial fibrillation (AF) and irregularities in Holter recor...
BACKGROUND: Prognosis prediction in the intensive care unit (ICU) traditionally relied on physiologi...
This paper addresses the critical need for elctrocardiogram (ECG) classifier architectures that bala...
This study introduces an innovative deep-learning model for cuffless blood pressure estimation using...