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

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

66 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
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

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

baroreflex
blood pressure
body sensor networks
intelligent systems
pulse transit time

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10.1109/MIS.2015.72

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title = "Noninvasive and Continuous Blood Pressure Monitoring Using Wearable Body Sensor Networks",

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

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

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N2 - 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.

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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KW - blood pressure

KW - body sensor networks

KW - intelligent systems

KW - pulse transit time

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UR - https://www.scopus.com/pages/publications/84962027408#tab=impact

U2 - 10.1109/MIS.2015.72

DO - 10.1109/MIS.2015.72

M3 - RGC 21 - Publication in refereed journal

SN - 1541-1672

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SP - 38

EP - 48

JO - IEEE Intelligent Systems

JF - IEEE Intelligent Systems

IS - 6

M1 - 7274241

ER -

Noninvasive and Continuous Blood Pressure Monitoring Using Wearable Body Sensor Networks

Abstract

Bibliographical note

Research Keywords

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