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Determining respiratory rate from photoplethysmogram and electrocardiogram signals using respiratory quality indices and neural networks

Continuous and non-invasive respiratory rate (RR) monitoring would significantly improve patient outcomes. Currently, RR is under-recorded in clinical environments and is often measured by manually counting breaths. In this work, we investigate the use of respiratory signal quality quantification an...

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Detalles Bibliográficos
Autores principales: Baker, Stephanie, Xiang, Wei, Atkinson, Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8031461/
https://www.ncbi.nlm.nih.gov/pubmed/33831075
http://dx.doi.org/10.1371/journal.pone.0249843

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