Noise-resilient spatial–channel refinement for robust remote photoplethysmography

IntroductionRemote photoplethysmography (rPPG) enables non-contact heart rate measurement from facial videos with growing health monitoring applications. Despite advances in deep learning methods, most existing approaches lack task-specific feature refinement across spatial and channel dimensions, w...

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Autors principals:	Xianwei Zhang, Feng Qiao, Qiaochu Zang, Zhe Chen, Xiaoting Xie, Siwen Zhao, Sen Lin, Yujun Li
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2026-05-01
Col·lecció:	Frontiers in Bioengineering and Biotechnology
Matèries:	deep learning heart rate estimation multi-scale frame difference fusion remote photoplethysmography spatial and channel attention
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fbioe.2026.1819324/full
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