High-Throughput, Contact-Free Detection of Atrial Fibrillation From Video With Deep Learning-Reference-Cited by-同舟云学术

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

Published:2020-01-01 Issue:1 Volume:5 Page:105
ISSN:2380-6583
Container-title:JAMA Cardiology
language:en
Short-container-title:JAMA Cardiol

Author:

Yan Bryan P.¹²³,Lai William H. S.¹,Chan Christy K. Y.¹,Au Alex C. K.²,Freedman Ben⁴,Poh Yukkee C.⁵,Poh Ming-Zher⁵

Affiliation:

1. Division of Cardiology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China

2. Division of Cardiology, Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong SAR, China

3. Heart and Vascular Institute, The Chinese University of Hong Kong, Hong Kong SAR, China

4. Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia

5. Cardiio Inc, Cambridge, Massachusetts

Publisher

American Medical Association (AMA)

Subject

Cardiology and Cardiovascular Medicine

Link

https://jamanetwork.com/journals/jamacardiology/articlepdf/2756246/jamacardiology_yan_2019_ld_190004.pdf

Reference4 articles.

1. Screening for atrial fibrillation: a report of the AF-SCREEN international collaboration.;Freedman;Circulation,2017

2. Contact-free screening of atrial fibrillation by a smartphone using facial pulsatile photoplethysmographic signals.;Yan;J Am Heart Assoc,2018

3. Photoplethysmography revisited: from contact to noncontact, from point to imaging.;Sun;IEEE Trans Biomed Eng,2016

4. Diagnostic assessment of a deep learning system for detecting atrial fibrillation in pulse waveforms.;Poh;Heart,2018

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1. 2024 ESC Guidelines for the management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS);European Heart Journal;2024-08-30

2. JCS/JHRS 2022 Guideline on Diagnosis and Risk Assessment of Arrhythmia;Journal of Arrhythmia;2024-06-12

3. A machine learning-based approach for constructing remote photoplethysmogram signals from video cameras;Communications Medicine;2024-06-07

4. Artificial Intelligence for Cardiovascular Care—Part 1: Advances;Journal of the American College of Cardiology;2024-06

5. Cheeks appearance as a novel predictor of obstructive sleep apnea: the CASA score study;Journal of Clinical Sleep Medicine;2024-06

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