Why the study?
ECG requires special acquisition devices uncomfortable for daily monitoring, while existing remote photoplethysmography techniques face challenges extracting accurate pulse signals from face videos to detect AF.
Can a feature fusion algorithm using remote photoplethysmography from face videos accurately detect atrial fibrillation?
Can a feature fusion algorithm using remote photoplethysmography from face videos accurately detect atrial fibrillation?
Remote photoplethysmography from face videos using a novel feature fusion algorithm shows promise for non-contact atrial fibrillation detection.
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Novel video-based AF detection may aid early screening; leaves open validation in larger cohorts before practice change.
Shi et al. (2019) studied this question.
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