Robustness of two different methods of monitoring respiratory system compliance during mechanical ventilation

Robustness measures the performance of estimation methods when they work under non-ideal conditions. We compared the robustness of artificial neural networks (ANNs) and multilinear fitting (MLF) methods in estimating respiratory system compliance (C (RS)) during mechanical ventilation (MV). Twenty-f...

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Detalles Bibliográficos
Autores principales: Perchiazzi, Gaetano, Rylander, Christian, Pellegrini, Mariangela, Larsson, Anders, Hedenstierna, Göran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5603635/
https://www.ncbi.nlm.nih.gov/pubmed/28243966
http://dx.doi.org/10.1007/s11517-017-1631-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5603635/
https://www.ncbi.nlm.nih.gov/pubmed/28243966
http://dx.doi.org/10.1007/s11517-017-1631-0

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