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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

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