Noninvasive and Continuous Blood Pressure Monitoring Using Wearable Body Sensor Networks

Hao Lin; Wenyao Xu; Nan Guan; Dong Ji; Yangjie Wei; Wang Yi

doi:10.1109/MIS.2015.72

Noninvasive and Continuous Blood Pressure Monitoring Using Wearable Body Sensor Networks

Hao Lin, Wenyao Xu, Nan Guan, Dong Ji, Yangjie Wei, Wang Yi

Research output: Journal article publication › Journal article › Academic research › peer-review

63 Citations (Scopus)

Abstract

Hypertension is a major health risk that influences the quality of life for many people. The importance of monitoring hypertension in a continuous and noninvasive manner increases as more people experience raised blood pressure (BP). The authors present a smartphone-centric body sensor network to measure the pulse transit time (PTT) in real time. Their robust method for calculating BP uses PPT information that considers the baroreflex mechanism, which reflects the relationship between BP and the heart rate. To evaluate the performance of their proposed method, they collected 300 groups of data from six subjects before and after exercise. Experimental results show that their proposed method can estimate BP values in real time with good precision.

Original language	English
Article number	7274241
Pages (from-to)	38-48
Number of pages	11
Journal	IEEE Intelligent Systems
Volume	30
Issue number	6
DOIs	https://doi.org/10.1109/MIS.2015.72
Publication status	Published - 1 Nov 2015
Externally published	Yes

Keywords

baroreflex
blood pressure
body sensor networks
intelligent systems
pulse transit time

ASJC Scopus subject areas

Computer Networks and Communications
Artificial Intelligence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

10.1109/MIS.2015.72

Cite this

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abstract = "Hypertension is a major health risk that influences the quality of life for many people. The importance of monitoring hypertension in a continuous and noninvasive manner increases as more people experience raised blood pressure (BP). The authors present a smartphone-centric body sensor network to measure the pulse transit time (PTT) in real time. Their robust method for calculating BP uses PPT information that considers the baroreflex mechanism, which reflects the relationship between BP and the heart rate. To evaluate the performance of their proposed method, they collected 300 groups of data from six subjects before and after exercise. Experimental results show that their proposed method can estimate BP values in real time with good precision.",

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AU - Lin, Hao

AU - Xu, Wenyao

AU - Guan, Nan

AU - Ji, Dong

AU - Wei, Yangjie

AU - Yi, Wang

PY - 2015/11/1

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AB - Hypertension is a major health risk that influences the quality of life for many people. The importance of monitoring hypertension in a continuous and noninvasive manner increases as more people experience raised blood pressure (BP). The authors present a smartphone-centric body sensor network to measure the pulse transit time (PTT) in real time. Their robust method for calculating BP uses PPT information that considers the baroreflex mechanism, which reflects the relationship between BP and the heart rate. To evaluate the performance of their proposed method, they collected 300 groups of data from six subjects before and after exercise. Experimental results show that their proposed method can estimate BP values in real time with good precision.

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JO - IEEE Intelligent Systems

JF - IEEE Intelligent Systems

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Noninvasive and Continuous Blood Pressure Monitoring Using Wearable Body Sensor Networks

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

More information

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