Latest AI and machine learning research in arrhythmias for healthcare professionals.
To reduce the high mortality rate from cardiovascular disease (CVD), the electrocardiogram (ECG) bea...
This paper presents a novel deep learning framework for the inter-patient electrocardiogram (ECG) he...
Microwave ablation (MWA) for cancer treatment is frequently monitored by ultrasound (US) B-mode imag...
INTRODUCTION: To assess the performance of pre-ablation computed tomography texture features of adre...
BACKGROUND: The ECG remains the most widely used diagnostic test for characterization of cardiac str...
BACKGROUND: Sex and age have long been known to affect the ECG. Several biologic variables and anato...
Percutaneous needle puncture operation is widely used in the image-guided interventions, including b...
Recently, portable electrocardiogram (ECG) hardware devices have been developed using limb-lead meas...
BACKGROUND: Computerised electrocardiogram (ECG) interpretation diagnostic algorithms have been deve...
Early detection of coronary heart disease (CHD) has the potential to prevent the millions of deaths ...
Due to its simplicity and low cost, analyzing an electrocardiogram (ECG) is the most common techniqu...
Atrial fibrillation (AF) is the most common heart arrhythmia, and 12-lead electrocardiogram (ECG) is...
BACKGROUND: Atrial fibrillation is frequently asymptomatic and thus underdetected but is associated ...
BACKGROUND: Non-contact heart rate (HR) and respiratory rate (RR) monitoring is necessary for preter...
Wearable intelligent ECG monitoring devices can perform automatic ECG diagnosis in real time and sen...
Cardiovascular disease (CVD) has become one of the most serious diseases that threaten human health....
BACKGROUND: The inability to reliably assess seizure risk is a major burden for epilepsy patients an...
BACKGROUND: Aquablation has emerged as a novel ablative therapy combining image guidance and robotic...
Real-time wearable electrocardiogram monitoring sensor is one of the best candidates in assisting ca...
The classification of electrocardiograms (ECG) plays an important role in the clinical diagnosis of ...
OBJECTIVE: We aim to combine deep neural networks and engineered features (hand-crafted features bas...