VidAF: A Motion-Robust Model for Atrial Fibrillation Screening From Facial Videos

Xuenan Liu,Xuezhi Yang,Dingliang Wang,Alexander Wong,Likun Ma,Longwei Li

IEEE Journal of Biomedical and Health Informatics（2022）

引用 8|浏览13

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摘要

Atrial fibrillation (AF) is the most common arrhythmia, but an estimated 30% of patients with AF are unaware of their conditions. The purpose of this work is to design a model for AF screening from facial videos, with a focus on addressing typical motion disturbances in our real life, such as head movements and expression changes. This model detects a pulse signal from the skin color changes in a ...

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关键词

Videos,Faces,Skin,Neural networks,Feature extraction,Robustness,Color

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