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Deep learning classification of systemic sclerosis from multi-site photoplethysmography signals.

Lookup NU author(s): Dr Shahid Iqbal, Professor Jaume Bacardit, Dr Bridget Griffiths, Professor John AllenORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

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Author(s): Iqbal S, Bacardit J, Griffiths B, Allen J

Publication type: Article

Publication status: Published

Journal: Frontiers in Physiology: Computational Physiology and Medicine Special Issue on PPG

Year: 2023

Volume: 14

Online publication date: 13/09/2023

Acceptance date: 18/08/2023

Date deposited: 30/11/2023

ISSN (electronic): 1664-042X

Publisher: Frontiers

URL: https://doi.org/10.3389/fphys.2023.1242807

DOI: 10.3389/fphys.2023.124280

Data Access Statement: The data analyzed in this study is subject to the following licenses/restrictions: The datasets presented in this article are not readily available because the participants involved at the time of the original data collection did not consent to their PPG measurements being shared openly such as in a public repository. Requests to access these datasets should be directed to Not applicable

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