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Updated: Jan 29, 2026

High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation
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对于心房电图估计的深度学习:使用变量自编码器进行非侵入性心律失常映射

Miriam Gutiérrez-Fernández1,2, K López-Linares2,3, C Fambuena-Santos4

  • 1Signal Theory and Communications Dpt., EIF, Universidad Rey Juan Carlos, Fuenlabrada, Spain.

Frontiers in physiology
|January 28, 2026
PubMed
概括

这项研究引入了一个深度学习模型,以从身体表面电位测量 (BSPMs) 进行非侵入性估计心内电图 (EGM). 这种新的方法改善了心房失常症的表征,为侵入性映射提供了更安全的替代方案.

关键词:
心房动是心房动的一种.身体表面潜力映射测绘深度学习是一种深度学习.反向问题反向问题变量自动编码器变量自动编码器

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