Electrocardiogram soft computing using hybrid deep learning CNN-ELM

• Published in: Applied soft computing Vol. 86; p. 105778
• Main Authors: Zhou, Shuren, Tan, Bo
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.01.2020
• Subjects: Classification; Electrocardiogram (ECG) signals; Extreme learning machine; MIT-BIH dataset; MIT-BIH dataset; Extreme learning machine; Electrocardiogram (ECG) signals; Classification

Electrocardiogram (ECG) can reflect the state of human heart and is widely used in clinical cardiac examination. However, the electrocardiogram signal is very weak, the anti-interference ability is poor, easy to be affected by the noise. Doctors face difficulties in diagnosing arrhythmias. Therefore...