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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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 |
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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 |
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