The electrocardiogram (ECG) is a highly effective non-invasive tool for monitoring heart
activity and diagnosing cardiovascular diseases (CVDs). Automatic detection of arrhythmia …

Objective. Automatic detection of arrhythmia based on electrocardiogram (ECG) plays a
critical role in early prevention and diagnosis of cardiovascular diseases. With the increase …

Abstract Machine learning technologies have been applied extensively in the last decade to
automatically detect and analyze various forms of arrhythmia from electrocardiogram (ECG) …

Atrial fibrillation is the most common abnormal heart condition and contributes primarily to
cardiac morbidity and mortality. In the last decades, portable Electrocardiogram (ECG) …

Electrocardiogram (ECG) is an efficient and simple method for the diagnosis of
cardiovascular diseases and has been widely used in clinical practice. Because of the …

Background Heart disease diagnosis is a challenging task and it is important to explore
useful information from the massive amount of electrocardiogram (ECG) records of patients …

The morphological ECG features for arrhythmia diagnosis are usually identified and
combined on different scales. For example, morphological ECG features can be identified on …

The electrocardiogram (ECG) is one of the simplest and oldest tools to assess the heart
condition of cardiac patients. Heart diseases have emerged as one of the leading causes of …

Abstract The 12-lead electrocardiogram (ECG) is a reliable diagnostic tool for detecting and
treating severe cardiovascular conditions like arrhythmia and heart attack. Deep neural …

Cardiac arrhythmia is associated with abnormal electrical activities of the heart, which can
be reflected by altered characteristics of electrocardiogram (ECG). Due to the simplicity and …