Latest AI and machine learning research in arrhythmias for healthcare professionals.
We have previously developed an automated localization method based on multiple linear regression (M...
BACKGROUND: Cardiologs® has developed the first electrocardiogram (ECG) algorithm that uses a deep n...
Electrocardiography (ECG) sensors play a vital role in the Internet of Medical Things, and these sen...
OBJECTIVE: The study objective was to retrospectively evaluate the efficacy and safety of radiofrequ...
OBJECTIVE: Atrial fibrillation is a common type of heart rhythm abnormality caused by a problem with...
OBJECTIVE: Electrocardiography is the most common tool to diagnose cardiovascular diseases. Annotati...
We review some of the latest approaches to analysing cardiac electrophysiology data using machine le...
Electrocardiogram (ECG) signal is a process that records the heart rate by using electrodes and dete...
Electrocardiogram (ECG) is gaining increased attention as a biometric method in a wide range of appl...
OBJECTIVE: The electrocardiogram (ECG) provides an effective, non-invasive approach for clinical dia...
This paper proposes deep learning methods with signal alignment that facilitate the end-to-end class...
OBJECTIVE: Use of wearable ECG devices for arrhythmia screening is limited due to poor signal qualit...
UNLABELLED: The automated detection of arrhythmia in a Holter ECG signal is a challenging task due t...
BACKGROUND: Robotic (RNS) or magnetic navigation systems (MNS) are available for remotely performed ...
Inflammation, oxidative stress, myocardial injury biomarkers and clinical parameters (longer AF dura...
OBJECTIVE: The prevalence of atrial fibrillation (AF) in the general population is 0.5%-1%. As AF is...
BACKGROUND: Myocardial ischemia has a complex and time-varying electrocardiographic signature that i...
The development of new technology such as wearables that record high-quality single channel ECG, pro...
Atrial fibrillation (AF) is one of the most common sustained chronic cardiac arrhythmia in elderly p...
Electrocardiogram (ECG) classification is an important process in identifying arrhythmia, and neural...
Atrial fibrillation (AF) is a serious cardiovascular disease with the phenomenon of beating irregula...