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

Introduction: A pilot study assessing a novel approach to identify patients with Systemic Sclerosis (SSc) using deep learning analysis of multi-site photoplethysmography (PPG) waveforms (“DL-PPG”). Methods: PPG recordings having baseline, unilateral arm pressure cuff occlusion and reactive hyperaemi...

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Detalles Bibliográficos
Autores principales: Iqbal, Sadaf, Bacardit, Jaume, Griffiths, Bridget, Allen, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534001/
https://www.ncbi.nlm.nih.gov/pubmed/37781233
http://dx.doi.org/10.3389/fphys.2023.1242807

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534001/
https://www.ncbi.nlm.nih.gov/pubmed/37781233
http://dx.doi.org/10.3389/fphys.2023.1242807

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