Latest AI and machine learning research in arrhythmias for healthcare professionals.
This paper presents a wearable electrophysiological interface with enhanced immunity to motion artif...
Automatic feature extraction and classification are two main tasks in abnormal ECG beat recognition....
OBJECTIVES: This study sought to assess the impact of ablation power and catheter irrigation during ...
Classifying electrocardiogram (ECG) heartbeats for arrhythmic risk prediction is a challenging task ...
Since the late 1980s, elevated atrial natriuretic peptide (ANP) was considered the cause of brisk di...
Premature ventricular contraction (PVC), which is a common form of cardiac arrhythmia caused by ecto...
Drug-induced abnormal heart rhythm known as (TdP) is a potential lethal ventricular tachycardia fou...
Heartbeat classification is a crucial step for arrhythmia diagnosis during electrocardiographic (ECG...
A 30-year-old male with cerebral palsy and motor impairment presented with right femur fracture. He ...
Identification of alarming features in the electrocardiogram (ECG) signal is extremely significant f...
BACKGROUND/PURPOSE: Radiofrequency ablation (RFA) provides an effective treatment for patients who e...
To lessen the rate of false critical arrhythmia alarms, we used robust heart rate estimation and cos...
PURPOSE: The measurement of serum thyroglobulin (Tg) of papillary thyroid carcinoma patients, 12 mon...
BACKGROUND: Catheter ablation of atrial fibrillation (AFib) primarily relies upon pulmonary vein iso...
Today, implanted medical devices are increasingly used for many patients and in case of diverse heal...
Implantable cardioverter defibrillators (ICD) and cardiac resynchronization therapy (CRT) reduce mor...
In the present study, it has been shown that an unnecessary implantable cardioverter-defibrillator (...
This paper proposes a novel machine learning-enabled framework to robustly monitor the instantaneous...
BACKGROUND: Indications for the primary prevention of sudden death using an implantable cardioverter...
In this paper, we propose an algorithm that classifies whether a generated cardiac arrhythmia alarm ...
False arrhythmia alarms pose a major threat to the quality of care in today's ICU. Thus, the PhysioN...