Latest AI and machine learning research in arrhythmias for healthcare professionals.
BACKGROUND: Artificial intelligence-enhanced ECG analysis shows promise to detect ventricular dysfun...
BACKGROUND: The acquisition of single-lead electrocardiogram (ECG) from mobile devices offers a more...
Early time series classification predicts the class label of a given time series before it is comple...
Analog-to-feature (A2F) conversion based on non-uniform wavelet sampling (NUWS) has demonstrated the...
Heart diseases are leading to death across the globe. Exact detection and treatment for heart diseas...
The scarcity of annotated data is a common issue in the realm of heartbeat classification based on d...
Machine learning is poised to revolutionize medicine with algorithms that spot cardiac arrhythmia. A...
BACKGROUND: Patients with hypertrophic cardiomyopathy (HCM) are at risk of sudden death, and individ...
BACKGROUND: Differential diagnosis of wide QRS tachycardia (WQCT) has been a challenging issue. Publ...
Cardiovascular diseases, often asymptomatic until severe, pose a significant challenge in medical di...
BACKGROUND: Catheter ablation (CA) for symptomatic atrial fibrillation (AF) offers the best outcomes...
BACKGROUND: Heart failure is a syndrome with complex clinical manifestations. Due to increasing popu...
This paper reviews the literature on assessing electrical dyssynchrony for patient selection in card...
Atrial fibrillation (AF) is the most common arrhythmia, associated with significant burdens to pati...
Cardiovascular disease mortality is increasing in North Carolina with persistent inequality by race,...
ECG beat classification or arrhythmia detection through artificial intelligence (AI) is an active to...
This paper proposes a denoising method based on an adversarial deep learning approach for the post-p...
Novel multimode thermal therapy by freezing before radio-frequency heating has achieved a desirable ...
Electrocardiogram (ECG) are the physiological signals and a standard test to measure the heart's ele...
BACKGROUND: Multiple smart devices capable of automatically detecting atrial fibrillation (AF) based...
The 12-lead electrocardiogram (ECG) is the most common front-line diagnosis tool for assessing cardi...