Classification Method of ECG Signals Based on RANet.

Journal: Cardiovascular engineering and technology

Published Date: Apr 23, 2024

Abstract

BACKGROUND: Electrocardiograms (ECG) are an important source of information on human heart health and are widely used to detect different types of arrhythmias.

Authors

Aoxiang Zhang

Faculty of Information, Beijing University of Technology, Beijing, China.
Xinwu Yang

College of Computer Science, Faculty of Information Technology, Beijing University of Technology, Beijing, China.
Tong Li

School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing 102488, China.
Mengfei Dou

Faculty of Information, Beijing University of Technology, Beijing, China.
Hongxiao Yang

Faculty of Information, Beijing University of Technology, Beijing, China.

Keywords

Action Potentials Arrhythmias, Cardiac Databases, Factual Deep Learning Diagnosis, Computer-Assisted Electrocardiography Heart Rate Humans Neural Networks, Computer Predictive Value of Tests Reproducibility of Results Signal Processing, Computer-Assisted

External Resources

View on PubMed Access via DOI PubMed (38653933)

Classification Method of ECG Signals Based on RANet.

Abstract

Authors

Keywords

External Resources

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