Latest AI and machine learning research in arrhythmias for healthcare professionals.
Arrhythmia classifiers relying on supervised deep learning models usually require a substantial amou...
Biosensor-based, real-time stress detection has generated clinical interest for the purpose of drivi...
BACKGROUND: The long-term success rate of atrial fibrillation (AF) ablation remains a significant cl...
This study presents a real-time implementation of an accelerated Hurst Contour Projection from Multi...
Electroencephalography (EEG) provides a non-invasive and real-time approach to decoding motor imager...
Atrial fibrillation (AF) has been a prevalent and serious arrhythmia associated with increased morbi...
Integrating Artificial Intelligence (AI) with electrocardiograms (ECG) represents a transformative s...
: Artificial intelligence (AI) is poised to significantly impact the future of cardiology and electr...
INTRODUCTION: Premature Ventricular Contractions (PVCs) can be warning signs for serious cardiac con...
Deep learning-based electrocardiogram (ECG) classification has shown impressive performance but clin...
: The rate of recurrence after ablation for atrial fibrillation (AF) is considerable. Risk stratific...
Obstructive sleep apnea-hypopnea syndrome (OSAHS) is one of the most common sleep disorders affectin...
A convolutional neural network (CNN)-enhanced electrocardiogram (ECG) has been reported for detectin...
Heart disease is the leading cause of mortality globally. Electrocardiograms (ECGs) are standard ins...
Cardiovascular disease (CVD) is a leading cause of death worldwide. A key area of interest in CVD pr...
OBJECTIVE: To develop and validate predictive models assessing survival outcomes in patients with no...
This paper conducts an extensive review of flexible cardiac sensing devices designed for electrocard...
Noninvasive fetal ECG (FECG) monitoring holds significant importance in ensuring the normal developm...
A cardiac digital twin is a virtual replica of a patient-specific heart, mimicking its anatomy and p...
BACKGROUND AND OBJECTIVES: Prostate cancer is the most common form of cancer in the male population....
The widespread use of immersive technologies such as Virtual Reality, Mixed Reality, and Augmented R...