Accurate, Automated Detection of Atrial Fibrillation in Ambulatory Recordings

Author:

Linker David T.

Funder

National Heart, Lung, and Blood Institute

Publisher

Springer Science and Business Media LLC

Subject

Cardiology and Cardiovascular Medicine,Biomedical Engineering

Cited by 29 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. Leadwise clustering multi-branch network for multi-label ECG classification;Medical Engineering & Physics;2024-08

2. SEResUTer: a deep learning approach for accurate ECG signal delineation and atrial fibrillation detection;Physiological Measurement;2023-12-01

3. Neural Network Based Atrial Fibrillation Classification;2023 International Conference on Network, Multimedia and Information Technology (NMITCON);2023-09-01

4. A Lightweight Convolutional Neural Network for Atrial Fibrillation Detection Using Dual-Channel Binary Features from Single-Lead Short ECG;2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS);2023-06-11

5. Comparison of ANN and ANFIS Models for AF Diagnosis Using RR Irregularities;Applied Sciences;2023-01-29

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