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

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...

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Bibliographic Details
Main Authors: Soojeong Lee, Gangseong Lee, Gwanggil Jeon
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Sensors
Subjects:
blood pressure
oscillometric measurement
statistical analysis
normality
confidence limit
deep learning
Online Access:https://www.mdpi.com/1424-8220/19/9/2137

Internet

https://www.mdpi.com/1424-8220/19/9/2137

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