论文信息 - High-Throughput, Contact-Free Detection of Atrial Fibrillation From Video With Deep Learning. - 字舞流文

High-Throughput, Contact-Free Detection of Atrial Fibrillation From Video With Deep Learning.

This study uses video and a pretrained deep convolutional neural network to analyze facial photoplethysmographic signals in detection of atrial fibrillation.

C. K. Chan | Ming-Zher Poh | B. Freedman | B. Yan | Yukkee C Poh | W. H. Lai | Alex C K Au | M. Poh | Alex C. K. Au

[1] Ming-Zher Poh,et al. Diagnostic assessment of a deep learning system for detecting atrial fibrillation in pulse waveforms , 2018, Heart.

[2] C. K. Chan,et al. Contact‐Free Screening of Atrial Fibrillation by a Smartphone Using Facial Pulsatile Photoplethysmographic Signals , 2018, Journal of the American Heart Association.

[3] P. Kirchhof,et al. Screening for Atrial Fibrillation: A Report of the AF-SCREEN International Collaboration , 2017, Circulation.

[4] Yu Sun,et al. Photoplethysmography Revisited: From Contact to Noncontact, From Point to Imaging , 2016, IEEE Transactions on Biomedical Engineering.