A coordinated adaptive multiscale enhanced spatio-temporal fusion network for multi-lead electrocardiogram arrhythmia detection-Reference-Cited by-同舟云学术

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A coordinated adaptive multiscale enhanced spatio-temporal fusion network for multi-lead electrocardiogram arrhythmia detection

Published:2024-09-06 Issue:1 Volume:14 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Yang Zicong,Jin Aitong,Li Yu,Yu Xuyi,Xu Xi,Wang Junxi,Li Qiaolin,Guo Xiaoyan,Liu Yan

Funder

Guangdong Province College Students Innovation and Entrepreneurship Training Program Innovation Training Program

Guangdong Basic and Applied Basic Research Foundation

Guangdong Key Disciplines Project

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41598-024-71700-z.pdf

Reference65 articles.

1. Tromp, J. et al. World heart federation roadmap for digital health in cardiology. Glob. Heart 17, 61 (2022).

2. Di Cesare, M. et al. The heart of the world. Glob. Heart 19, 11 (2024).

3. Fan, H. et al. Gut microbiota and cardiac arrhythmia. Front. Cell. Infect. Microbiol. 13, 1147687 (2023).

4. Chang, P.-C., Lin, J.-J., Hsieh, J.-C. & Weng, J. Myocardial infarction classification with multi-lead ECG using hidden Markov models and Gaussian mixture models. Appl. Soft Comput. 12, 3165–3175 (2012).

5. da Luz, E. J. ECG-based heartbeat classification for arrhythmia detection: a survey. Comput. Methods Programs Biomed. 127, 144–164 (2016).

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