摘要作为一个十余年来快速发展的崭新领域, 深度学习受到了越来越多研究者的关注,
它在特征提取和模型拟合上都有着相较于浅层模型显然的优势. 深度学习善于从原始输入数据中 …

The Electrocardiogram (ECG) is the P-QRS-T wave depicting the cardiac activity of the heart.
The subtle changes in the electric potential patterns of repolarization and depolarization are …

Classification is one of the most popular topics in healthcare and bioinformatics, especially
in relation to arrhythmia detection. Arrhythmias are irregularities in the rate or rhythm of the …

An electrocardiogram (ECG) measures the electric activity of the heart and has been widely
used for detecting heart diseases due to its simplicity and non-invasive nature. By analyzing …

Arrhythmia is a cardiac condition caused by abnormal electrical activity of the heart, and an
electrocardiogram (ECG) is the non-invasive method used to detect arrhythmias or heart …

Automatic heartbeat classification is an important technique to assist doctors to identify
ectopic heartbeats in long-term Holter recording. In this paper, we introduce a novel disease …

Early detection of cardiac diseases using computer aided diagnosis system reduces the
high mortality rate among heart patients. The detection of cardiac arrhythmias is a …

Classifying arrhythmias can be a tough task for a human being and automating this task is
highly desirable. Nevertheless fully automatic arrhythmia classification through …

This work introduces a new single-lead ECG delineator based on phasor transform. The
method is characterized by its robustness, low computational cost and mathematical …

In this study, a new supervised noise-artifact-robust heart arrhythmia fusion classification
solution, is introduced. Proposed method consists of structurally diverse classifiers with a …