Automatic Prediction of Atrial Fibrillation Based on Convolutional Neural Network Using a Short-term Normal Electrocardiogram Signal-Reference-Cited by-同舟云学术

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Automatic Prediction of Atrial Fibrillation Based on Convolutional Neural Network Using a Short-term Normal Electrocardiogram Signal

Published:2019 Issue:7 Volume:34 Page:
ISSN:1011-8934
Container-title:Journal of Korean Medical Science
language:en
Short-container-title:J Korean Med Sci

Author:

Erdenebayar Urtnasan¹^ORCID,Kim Hyeonggon²^ORCID,Park Jong-Uk¹^ORCID,Kang Dongwon¹³^ORCID,Lee Kyoung-Joung¹^ORCID

Affiliation:

1. Department of Biomedical Engineering, Yonsei University College of Health Science, Wonju, Korea.

2. CHANGEUI TECH Co., Ltd., Wonju, Korea.

3. MEDIANA Co., Ltd., Wonju, Korea.

Funder

Ministry of Trade, Industry and Energy

Yonsei University

Publisher

Korean Academy of Medical Sciences

Subject

General Medicine

Link

https://synapse.koreamed.org/pdf/10.3346/jkms.2019.34.e64

Cited by 58 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detection of Dysrhythmias from Electrocardiogram Signals Using Noise Removal and Deep Learning Techniques;SN Computer Science;2024-09-14

2. Atrial Fibrillation Prediction Based on Recurrence Plot and ResNet;Sensors;2024-08-01

3. Identification of Panax notoginseng origin using terahertz precision spectroscopy and neural network algorithm;Talanta;2024-07

4. Machine Learning for Detecting Atrial Fibrillation from ECGs: Systematic Review and Meta-Analysis;Reviews in Cardiovascular Medicine;2024-01-08

5. Artificial Intelligence-Enabled 5G Network Performance Evaluation With Fine Granularity and High Accuracy;IEEE Access;2024

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