Advances in Non-Invasive Blood Pressure Monitoring

被引：31

作者：

Quan, Xina ^{[1
]}

Liu, Junjun ^{[1
]}

Roxlo, Thomas ^{[1
]}

Siddharth, Siddharth ^{[1
]}

Leong, Weyland ^{[1
]}

Muir, Arthur ^{[1
]}

Cheong, So-Min ^{[2
]}

Rao, Anoop ^{[3
]}

机构：

[1] PyrAmes Inc, Cupertino, CA 95014 USA

[2] Univ Kansas, Dept Geog & Atmospher Sci, Lawrence, KS 66045 USA

[3] Stanford Univ, Dept Pediat, Neonatol, Palo Alto, CA 94304 USA

来源：

SENSORS | 2021年 / 21卷 / 13期

基金：

美国国家卫生研究院;

关键词：

cNIBP; neonate; NICU; hypertension; hypotension; non-invasive blood pressure monitoring; ARTERIAL CANNULATION; CHILDREN; HYPOTENSION; MORTALITY; COMPLICATIONS; THROMBOSIS; CATHETERIZATION; HYPERTENSION; ASSOCIATION; OUTCOMES;

D O I：

10.3390/s21134273

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

This paper reviews recent advances in non-invasive blood pressure monitoring and highlights the added value of a novel algorithm-based blood pressure sensor which uses machine-learning techniques to extract blood pressure values from the shape of the pulse waveform. We report results from preliminary studies on a range of patient populations and discuss the accuracy and limitations of this capacitive-based technology and its potential application in hospitals and communities.

引用

页数：20

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