Evaluation of the Photoplethysmogram-Based Deep Learning Model for Continuous Respiratory Rate Estimation in Surgical Intensive Care Unit

The respiratory rate (RR) is a significant indicator to evaluate a patient’s prognosis and status; however, it requires specific instrumentation or estimates from other monitored signals. A photoplethysmogram (PPG) is extensively used in clinical environments as well as in intensive care units (ICUs...

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Detalles Bibliográficos
Autores principales: Hwang, Chi Shin, Kim, Yong Hwan, Hyun, Jung Kyun, Kim, Joon Hwang, Lee, Seo Rak, Kim, Choong Min, Nam, Jung Woo, Kim, Eun Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604201/
https://www.ncbi.nlm.nih.gov/pubmed/37892952
http://dx.doi.org/10.3390/bioengineering10101222

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604201/
https://www.ncbi.nlm.nih.gov/pubmed/37892952
http://dx.doi.org/10.3390/bioengineering10101222

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