VideoCAD: An Uncertainty-Driven Neural Network for Coronary Artery Disease Screening From Facial Videos-Reference-Cited by-同舟云学术

VideoCAD: An Uncertainty-Driven Neural Network for Coronary Artery Disease Screening From Facial Videos

Published:2023 Issue: Volume:72 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Liu Xuenan¹^ORCID,Yang Xuezhi²^ORCID,Song Rencheng³^ORCID,Zhang Jie⁴^ORCID,Li Longwei⁴^ORCID

Affiliation:

1. School of Computer and Information Engineering and the Anhui Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China

2. School of Software and the Intelligent Interconnected Systems Laboratory of Anhui Province, Hefei University of Technology, Hefei, China

3. School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, China

4. Department of Cardiovascular Medicine, The First Affiliated Hospital of USTC, Hefei, China

Funder

Anhui Major Science and Technology Projects

Fundamental Research Funds for the Central Universities of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/09989383.pdf?arnumber=9989383

Reference45 articles.

1. Exploiting Spatial Redundancy of Image Sensor for Motion Robust rPPG

2. The use of multi-site photoplethysmography (PPG) as a screening tool for coronary arterial disease and atherosclerosis

3. Remote plethysmographic imaging using ambient light

4. PFDNet: A Pulse Feature Disentanglement Network for Atrial Fibrillation Screening From Facial Videos

5. Detecting Pulse Wave From Unstable Facial Videos Recorded From Consumer-Level Cameras: A Disturbance-Adaptive Orthogonal Matching Pursuit

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