Our blood vessels show signs of aging as we grow older, which leads to various
cardiovascular diseases. Arrhythmia is usually the symptom of patients with early …

Cardiovascular diseases are a significant global health problem, often culminating in
sudden cardiac death (SCD). Approximately 4 million annual deaths worldwide are …

Automated ECG‐based arrhythmia detection is critical for early cardiac disease prevention
and diagnosis. Recently, deep learning algorithms have been widely applied for arrhythmia …

Increased physical activity can help reduce the occurrence of cardiovascular disease.
However, cardiovascular disease during strenuous exercise also brings certain risks, so a …

Abstract As a new Single Layer Feedforward Network (SLFN) architecture, Broad Learning
System (BLS) has been widely used in the field of fault diagnosis because of its fast-training …

Electrocardiogram (ECG) is a pivotal determinant of cardiac arrhythmia. In practice, ECG
data are often acquired as continuous unlabeled chunks with high labeling costs and severe …

Accurate classification of congestive heart failure (CHF) is essential to reduce the mortality of
cardiovascular disease. Many existing researches suffer from unsatisfactory performance in …

This paper classifies non-ectopic (N), supraventricular ectopic (S), ventricular ectopic (V),
and fusion (F) beats in the MIT-BIH arrhythmia database. The classification encounters …

Since ECG contains key characteristic information of arrhythmias, extracting this information
is crucial for identifying arrhythmias. Based on this, in order to effectively extract ECG data …

In recent years, the incidence of cardiac arrhythmias has been on the rise because of
changes in lifestyle and the aging population. Electrocardiograms (ECGs) are widely used …