Statistical Approaches Based on Deep Learning Regression for Verification of Normality of Blood Pressure Estimates

Oscillometric blood pressure (BP) monitors currently estimate a single point but do not identify variations in response to physiological characteristics. In this paper, to analyze BP’s normality based on oscillometric measurements, we use statistical approaches including kurtosis, skewness, Kolmogor...

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Detalles Bibliográficos
Autores principales: Lee, Soojeong, Lee, Gangseong, Jeon, Gwanggil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540460/
https://www.ncbi.nlm.nih.gov/pubmed/31072052
http://dx.doi.org/10.3390/s19092137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540460/
https://www.ncbi.nlm.nih.gov/pubmed/31072052
http://dx.doi.org/10.3390/s19092137

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