Atrial Fibrillation Detection Method Based on Inception-CNN-BiLSTM Model
Author:
Affiliation:
1. School of Internet of Things Engineering, Jiangnan University,Wuxi,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10450150/10449968/10451073.pdf?arnumber=10451073
Reference27 articles.
1. Accuracy of the Apple Watch 4 to Measure Heart Rate in Patients With Atrial Fibrillation
2. Classification of short single-lead electrocardiograms (ECGs) for atrial fibrillation detection using piecewise linear spline and XGBoost
3. Projections on the number of individuals with atrial fibrillation in the European Union, from 2000 to 2060
4. Wearable ECG: development history, core technology and future;Liu;Chinese Journal of Biomedical Engineering,2019
5. Probability density distribution of delta RR intervals: a novel method for the detection of atrial fibrillation
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