Latest AI and machine learning research in arrhythmias for healthcare professionals.
Drug safety initiatives have endorsed human iPSC-derived cardiomyocytes (hiPSC-CMs) as an in vitro m...
INTRODUCTION: S-ICD eligibility is assessed at pre-implant screening where surface ECG traces are us...
The non-invasive electrocardiogram (ECG) signals are useful in heart condition assessment and are fo...
Obstructive sleep apnea (OSA) syndrome is a common sleep disorder and a key cause of cardiovascular ...
There is increasing focus on applying deep learning methods to electrocardiograms (ECGs), with recen...
This paper investigates the fixed-time synchronization problem of a Kuramoto-oscillator network in t...
The utilization of unlabeled electrocardiogram (ECG) data is always a critical topic in artificial i...
In this work, we investigate the use of three information-theoretic quantities-entropy, mutual infor...
To compare outcomes of robot-assisted partial nephrectomy (RAPN) and percutaneous tumor ablation (P...
Heart failure (HF) is a serious condition in which the heart fails to supply the body with enough ox...
OBJECTIVES: To develop and validate a deep learning (DL) model based on quantitative analysis of con...
Myocardial infarction diagnosis is a common challenge in the emergency department. In managed settin...
BACKGROUND: Brugada syndrome is a potential cause of sudden cardiac death (SCD) and is characterized...
According to the STEMI paradigm, only patients whose ECGs meet STEMI criteria require immediate repe...
. In recent years, deep learning has blossomed in the field of electrocardiography (ECG) processing,...
Automatic detection of arrhythmia based on electrocardiogram (ECG) plays a critical role in early pr...
This work presents an on-chip analog-to-information conversion technique that utilizes analog hyper-...
This paper presents a neuromorphic processing system with a spike-driven spiking neural network (SNN...
Because of the many important anatomical structures located closely together at very small distances...
INTRODUCTION: Renal cell carcinoma (RCC) in solitary kidney (SK) represents a challenging scenario. ...
With the popularity of the wireless body sensor network, real-time and continuous collection of sing...