Deep learning identification of coronary artery disease from bilateral finger photoplethysmography sensing: A proof-of-concept study

Author:

Iqbal Sadaf,Agarwal Sharad,Purcell Ian,Murray Alan,Bacardit Jaume,Allen John

Funder

Newcastle upon Tyne Hospitals NHS Foundation Trust

NIHR Newcastle Biomedical Research Centre

Newcastle University

NIHR Imperial Biomedical Research Centre

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference34 articles.

1. Relation of brachial and digital measures of vascular function in the community: the Framingham heart study;Hamburg;Hypertension,2011

2. Photoplethysmography and its application in clinical physiological measurement;Allen;Physiol. Meas.,2007

3. A multiple signal classification approach for photoplethysmography signals in healthy and athletic subjects;Al-Fahoum;Int. J. Biomed. Eng. Technol.,2015

4. Photoplethysmography: Technology, Signal Analysis, and Applications;Kyriacou,2021

5. S.C. Agarwal, and University of Newcastle upon Tyne. Institute of Cellular Medicine. Assessment of Endothelial Function in the Dermal Circulation in People with Coronary Artery Disease, 2011.

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