Funder
Innovative Research Group Project of the National Natural Science Foundation of China
Wuhan Knowledge Innovation Program
Natural Science Foundation of Hubei Province
Publisher
Springer Science and Business Media LLC
Reference25 articles.
1. Huang C, Zhang S, Huang D et al (2018) Atrial fibrillation: current understanding and recommendations for treatment-2018. Chin J Card Pacing Electrophysiol 32.04:315–368
2. Qiu C, Zhao T, Wang X (2022) An early warning of atrial fibrillation based on short-time ECG signals. J Healthc Eng 18(01):1–7
3. Matias I, Garcia N, Pirbhulal S, Felizardo V, Pombo N, Zacarias H, Sousa M, Zdravevski E (2021) Prediction of atrial fibrillation using artificial intelligence on electrocardiograms: a systematic review. Comput Sci Rev 39:100334. https://doi.org/10.1016/j.cosrev.2020.100334
4. Zhang P, Chen Y, Lin F et al (2022) Semi-supervised learning for automatic atrial fibrillation detection in 24-hour Holter monitoring. IEEE J Biomed Health Inform 26:3791–3801
5. Wang X, Qi M, Xu H et al (2022) Research on identification and classification of myocardial infarction based on electrocardiogram. Chin J Med Phys 39(08):992–997
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