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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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Public Library of Science (PLoS)
2021-01-01
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| Colección: | PLoS ONE |
| Acceso en línea: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0249843&type=printable |
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