A Feasibility Study of Wearable Central Blood-Pressure Measurement System
Journal of Health and Environmental Research
Volume 3, Issue 4, August 2017, Pages: 62-71
Received: Sep. 9, 2017;
Accepted: Oct. 11, 2017;
Published: Nov. 8, 2017
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Shuji Takahashi, Business Division, Cyber Physical System Department, AZAPA, Company, Limited, Naogya, Aichi, Japan
Yudai Komori, Graduate School of Science and Technology, Gunma University, Ohta, Gunma, Japan
Kyoji Nakajo, Business Division, Cyber Physical System Department, AZAPA, Company, Limited, Naogya, Aichi, Japan
Kazuhiro Motegi, Graduate School of Science and Technology, Gunma University, Ohta, Gunma, Japan
Yoichi Shiraishi, Graduate School of Science and Technology, Gunma University, Ohta, Gunma, Japan
Hiroshi Miyashita, Jichi Medical University Health Care Center, Jichi Medical University School of Medicine, Shimotsuke, Tochigi, Japan
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A noninvasive estimation of central blood-pressure is required by the researchers or the medical practitioners in the cardiovascular treatment. In this study, first of all, a cardiovascular simulator based on the electrical circuits is described based on the model based approach and then, the representation of aorta model as a pressure transfer function is shown. This representation accelerates the simulator and then, makes it possible to estimate the central blood-pressure from a wearable gouge measurement in a real-time way. The system consisting of a main station, gateways and wearable blood-pressure gauges using one-board microcomputer is actually implemented. The functions and performances of the system are experimentally evaluated and the obtained results show the feasibility of central blood-pressure estimation and the localization of some examinees having wearable gauges with the practical accuracy and speed.
Aorta Model, Cardiovascular Simulator, Central Blood-Pressure, IoT, Microprocessor, Transfer Function, Wearable Sensor
To cite this article
A Feasibility Study of Wearable Central Blood-Pressure Measurement System, Journal of Health and Environmental Research.
Vol. 3, No. 4,
2017, pp. 62-71.
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
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