Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Yu, Dong, Ying, Gao, Ruyi, Chu, Yao, Zhang, Min, Qian, Xiang, Wang, Xiaohao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6187337/
https://www.ncbi.nlm.nih.gov/pubmed/30393366
http://dx.doi.org/10.3390/mi9020090
_version_ 1783363003818704896
author Sun, Yu
Dong, Ying
Gao, Ruyi
Chu, Yao
Zhang, Min
Qian, Xiang
Wang, Xiaohao
author_facet Sun, Yu
Dong, Ying
Gao, Ruyi
Chu, Yao
Zhang, Min
Qian, Xiang
Wang, Xiaohao
author_sort Sun, Yu
collection PubMed
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.
format Online
Article
Text
id pubmed-6187337
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-61873372018-11-01 Wearable Pulse Wave Monitoring System Based on MEMS Sensors Sun, Yu Dong, Ying Gao, Ruyi Chu, Yao Zhang, Min Qian, Xiang Wang, Xiaohao Micromachines (Basel) Article 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. MDPI 2018-02-23 /pmc/articles/PMC6187337/ /pubmed/30393366 http://dx.doi.org/10.3390/mi9020090 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sun, Yu
Dong, Ying
Gao, Ruyi
Chu, Yao
Zhang, Min
Qian, Xiang
Wang, Xiaohao
Wearable Pulse Wave Monitoring System Based on MEMS Sensors
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 Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6187337/
https://www.ncbi.nlm.nih.gov/pubmed/30393366
http://dx.doi.org/10.3390/mi9020090
work_keys_str_mv AT sunyu wearablepulsewavemonitoringsystembasedonmemssensors
AT dongying wearablepulsewavemonitoringsystembasedonmemssensors
AT gaoruyi wearablepulsewavemonitoringsystembasedonmemssensors
AT chuyao wearablepulsewavemonitoringsystembasedonmemssensors
AT zhangmin wearablepulsewavemonitoringsystembasedonmemssensors
AT qianxiang wearablepulsewavemonitoringsystembasedonmemssensors
AT wangxiaohao wearablepulsewavemonitoringsystembasedonmemssensors