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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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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 |