Wearable Pulse Wave Monitoring System Based on MEMS Sensors

Pulse wave monitoring is critical for the evaluation of human health. In this paper, a wearable multi-sensor pulse wave monitoring system is proposed and demonstrated. The monitoring system consists of a measuring unit and an analog circuit processing unit. The main part of the measuring unit is a f...

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Main Authors: Yu Sun, Ying Dong, Ruyi Gao, Yao Chu, Min Zhang, Xiang Qian, Xiaohao Wang
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Micromachines
Subjects:
Online Access:http://www.mdpi.com/2072-666X/9/2/90
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author Yu Sun
Ying Dong
Ruyi Gao
Yao Chu
Min Zhang
Xiang Qian
Xiaohao Wang
author_facet Yu Sun
Ying Dong
Ruyi Gao
Yao Chu
Min Zhang
Xiang Qian
Xiaohao Wang
author_sort Yu Sun
collection DOAJ
description Pulse wave monitoring is critical for the evaluation of human health. In this paper, a wearable multi-sensor pulse wave monitoring system is proposed and demonstrated. The monitoring system consists of a measuring unit and an analog circuit processing unit. The main part of the measuring unit is a flexible printed circuit board (PCB) with a thickness of 0.15 mm, which includes three micro-electromechanical system (MEMS) pressure sensors softly packaged by polydimethylsiloxane (PDMS), a blood oxygen detector and a MEMS three-axis accelerometer. The MEMS pressure sensors,the blood oxygen detector and the accelerometer are fixed on the expected locations of the flexible PCB. The analog circuit processing unit includes a power supply module, a filter and an amplifier. The pulse waves of two volunteers are detected by the monitoring system in this study. The output signals of the analog circuit processing module are processed and analyzed. In the preliminary test, the time delay of the three pressure pulse waves has been detected and the calculated pulse wave velocities (PWVs) are 12.50 and 11.36 m/s, respectively. The K value, related to the area of the pulse wave, can be obtained. Both the PWV and K value meet the health parameter standards.
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spelling doaj.art-3d48b5de375245c6a3c0e15d1dde5fe02022-12-22T03:09:11ZengMDPI AGMicromachines2072-666X2018-02-01929010.3390/mi9020090mi9020090Wearable Pulse Wave Monitoring System Based on MEMS SensorsYu Sun0Ying Dong1Ruyi Gao2Yao Chu3Min Zhang4Xiang Qian5Xiaohao Wang6Graduate School at Shenzhen, Tsinghua University, University Town of Shenzhen, Shenzhen 518055, ChinaGraduate School at Shenzhen, Tsinghua University, University Town of Shenzhen, Shenzhen 518055, ChinaGraduate School at Shenzhen, Tsinghua University, University Town of Shenzhen, Shenzhen 518055, ChinaTsinghua-Berkeley Shenzhen Institute, University Town of Shenzhen, Shenzhen 518055, ChinaGraduate School at Shenzhen, Tsinghua University, University Town of Shenzhen, Shenzhen 518055, ChinaGraduate School at Shenzhen, Tsinghua University, University Town of Shenzhen, Shenzhen 518055, ChinaGraduate School at Shenzhen, Tsinghua University, University Town of Shenzhen, Shenzhen 518055, ChinaPulse wave monitoring is critical for the evaluation of human health. In this paper, a wearable multi-sensor pulse wave monitoring system is proposed and demonstrated. The monitoring system consists of a measuring unit and an analog circuit processing unit. The main part of the measuring unit is a flexible printed circuit board (PCB) with a thickness of 0.15 mm, which includes three micro-electromechanical system (MEMS) pressure sensors softly packaged by polydimethylsiloxane (PDMS), a blood oxygen detector and a MEMS three-axis accelerometer. The MEMS pressure sensors,the blood oxygen detector and the accelerometer are fixed on the expected locations of the flexible PCB. The analog circuit processing unit includes a power supply module, a filter and an amplifier. The pulse waves of two volunteers are detected by the monitoring system in this study. The output signals of the analog circuit processing module are processed and analyzed. In the preliminary test, the time delay of the three pressure pulse waves has been detected and the calculated pulse wave velocities (PWVs) are 12.50 and 11.36 m/s, respectively. The K value, related to the area of the pulse wave, can be obtained. Both the PWV and K value meet the health parameter standards.http://www.mdpi.com/2072-666X/9/2/90MEMS sensorwearable devicepulse wavesignal processing
spellingShingle Yu Sun
Ying Dong
Ruyi Gao
Yao Chu
Min Zhang
Xiang Qian
Xiaohao Wang
Wearable Pulse Wave Monitoring System Based on MEMS Sensors
Micromachines
MEMS sensor
wearable device
pulse wave
signal processing
title Wearable Pulse Wave Monitoring System Based on MEMS Sensors
title_full Wearable Pulse Wave Monitoring System Based on MEMS Sensors
title_fullStr Wearable Pulse Wave Monitoring System Based on MEMS Sensors
title_full_unstemmed Wearable Pulse Wave Monitoring System Based on MEMS Sensors
title_short Wearable Pulse Wave Monitoring System Based on MEMS Sensors
title_sort wearable pulse wave monitoring system based on mems sensors
topic MEMS sensor
wearable device
pulse wave
signal processing
url http://www.mdpi.com/2072-666X/9/2/90
work_keys_str_mv AT yusun wearablepulsewavemonitoringsystembasedonmemssensors
AT yingdong wearablepulsewavemonitoringsystembasedonmemssensors
AT ruyigao wearablepulsewavemonitoringsystembasedonmemssensors
AT yaochu wearablepulsewavemonitoringsystembasedonmemssensors
AT minzhang wearablepulsewavemonitoringsystembasedonmemssensors
AT xiangqian wearablepulsewavemonitoringsystembasedonmemssensors
AT xiaohaowang wearablepulsewavemonitoringsystembasedonmemssensors