Atrial Fibrillation Detection Algorithm with Ratio Variation-Based Features
Author:
Affiliation:
1. Graduate Institute of Communication Engineering, National Taiwan University,Taipei,Taiwan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10042470/10042811/10042909.pdf?arnumber=10042909
Reference21 articles.
1. A statistical approach for accurate detection of atrial fibrillation and flutter;dash;IEEE Computers in Cardiology,2009
2. RR interval analysis for detection of Atrial Fibrillation in ECG monitors
3. A Novel Method for Detection of the Transition Between Atrial Fibrillation and Sinus Rhythm
4. Rules extraction in SVM and neural network classifiers of atrial fibrillation patients with matched wavelets as a feature generator
5. Automatic online detection of atrial fibrillation based on symbolic dynamics and Shannon entropy
Cited by 2 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. Atrial Fibrillation Detection with Single-Lead Electrocardiogram Based on Temporal Convolutional Network–ResNet;Sensors;2024-01-09
2. Unveiling Hidden Patterns: Harnessing the Power of Short PPG-Traces for Atrial Fibrillation Detection;2023 IEEE 19th International Conference on Body Sensor Networks (BSN);2023-10-09
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