Latest AI and machine learning research in arrhythmias for healthcare professionals.
BACKGROUND: The electrocardiogram (ECG) is one of the most accessible and comprehensive diagnostic t...
Monitoring heart electrical activity is an effective way of detecting existing and developing condit...
Accurate detection of electrocardiogram (ECG) waveforms is crucial for computer-aided diagnosis of c...
Simple sensor-based procedures, including auscultation and electrocardiography (ECG), can facilitate...
This non-technical review introduces key concepts in personalized ECG monitoring (pECG), which aims ...
BACKGROUND AND OBJECTIVE: The ventilatory threshold (VT) marks the transition from aerobic to anaero...
AIMS: ECG abnormalities are often the first signs of arrhythmogenic right ventricular cardiomyopathy...
BACKGROUND: The accuracy of electrocardiogram (ECG) interpretation by doctors are affected by the av...
OBJECTIVE: To enable the intelligent diagnosis of a variety of common Electrocardiogram (ECG), we in...
Cardiovascular disease (CVD) is one of the most severe diseases threatening human life. Electrocardi...
BACKGROUND: Pulmonary vein isolation (PVI) is the cornerstone of atrial fibrillation (AF) ablation. ...
Independent component analysis (ICA) is widely used in the extraction of fetal ECG (FECG). However, ...
BACKGROUND: "Ablate and pace" strategy is a reasonable treatment option in refractory atrial fibrill...
OBJECTIVES: The biomarker N-terminal pro B-type natriuretic peptide (NT-proBNP) has predictive value...
Sleep apnea is a common sleep disorder. Traditional testing and diagnosis heavily rely on the expert...
BACKGROUND: Accurate detection of atrial fibrillation (AF) recurrence after catheter ablation is cru...
BACKGROUND: Patients with atrial septal defect (ASD) exhibit distinctive electrocardiogram (ECG) pat...
BACKGROUND: The electrocardiogram (ECG) is one of the most common diagnostic tools available to asse...
BACKGROUND: Robot assisted partial nephrectomy (RAPN) and microwave ablation (MWA) are 2 of the most...
Automated analysis of the inner ear anatomy in radiological data instead of time-consuming manual as...
Large high-quality datasets are essential for building powerful artificial intelligence (AI) algorit...