Using Multi-Task Learning-Based Framework to Detect ST-Segment and J-Point Deviation From Holter

Artificial intelligence is increasingly being used on the clinical electrocardiogram workflows. Few electrocardiograms based on artificial intelligence algorithms have focused on detecting myocardial ischemia using long-term electrocardiogram data. A main reason for this is that interference signals...

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Detalles Bibliográficos
Autores principales: Wu, Shuang, Cao, Qing, Chen, Qiaoran, Jin, Qi, Liu, Zizhu, Zhuang, Lingfang, Lin, Jingsheng, Lv, Gang, Zhang, Ruiyan, Chen, Kang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9277481/
https://www.ncbi.nlm.nih.gov/pubmed/35846006
http://dx.doi.org/10.3389/fphys.2022.912739

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9277481/
https://www.ncbi.nlm.nih.gov/pubmed/35846006
http://dx.doi.org/10.3389/fphys.2022.912739

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