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

Iqbal, Sadaf; Bacardit, Jaume; Griffiths, Bridget; Allen, John

Iqbal, Sadaf; Bacardit, Jaume; Griffiths, Bridget; Allen, John.

Afiliação

Iqbal S; Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, United Kingdom.
Bacardit J; Northern Medical Physics and Clinical Engineering, Freeman Hospital, Newcastle Upon Tyne, United Kingdom.
Griffiths B; School of Computing, Newcastle University, Newcastle Upon Tyne, United Kingdom.
Allen J; Department of Rheumatology, Freeman Hospital, Newcastle Upon Tyne, United Kingdom.

Front Physiol ; 14: 1242807, 2023.

Article em En | MEDLINE | ID: mdl-37781233

Palavras-chave

Raynaud's; deep learning; machine learning; photoplethysmography; pulse; scleroderma; systemic sclerosis

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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Front Physiol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido