Pulse wave extraction and dual domain analysis
Two methods for measuring pulse wave using either a pressure or an optical sensor are studied and compared. A model for determining the optimal external force for restraining the pressure sensor is proposed. Pulse waves are measured on 20 volunteers. The restraint force on the pressure sensor is slo...
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National Computer System Engineering Research Institute of China
2019-02-01
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doaj-5b841c473a034cb3a2e795e524134cf62020-11-24T21:20:18ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982019-02-01452535710.16157/j.issn.0258-7998.1829053000097470Pulse wave extraction and dual domain analysisWang Qian0Xu Yajie1Zeng Guoqiang2Sun Mingshan3Medical Imaging Department,Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences,Suzhou 215163,ChinaMedical Imaging Department,Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences,Suzhou 215163,ChinaCollege of Nuclear Technology and Automation Engineering,Chengdu University of Technology,Chengdu 610051,ChinaMedical Imaging Department,Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences,Suzhou 215163,ChinaTwo methods for measuring pulse wave using either a pressure or an optical sensor are studied and compared. A model for determining the optimal external force for restraining the pressure sensor is proposed. Pulse waves are measured on 20 volunteers. The restraint force on the pressure sensor is slowly varied and recorded using a piezoelectric film sensor for each person until it reaches a so-called optimal acquisition pressure under which the pulse wave has the greatest amplitude. The optimal pressure is then analyzed using polynomial regression with the body-mass index(BMI). In addition, the pulse waves are decomposed in both the time and frequency domains to identify and extract the features corresponding to physiological activities. Pulse waves measured with the optical sensor method suffer from feature point loss where certain points are submerged and indistinguishable. The pressure sensor method can reveal the feature points clearly, but the waveform exhibits variations if the external force applied isn′t a constant. With the application of optimal acquisition force set by our model, the latter method is able to detect pulse wave with a high signal-to-noise ratio. The dual domain analysis is shown to extract features that can be later used for continuous blood pressure monitoring.http://www.chinaaet.com/article/3000097470pulse waveoptimal pressurepiezoelectric sensordual domain analysisblood pressure |
collection |
DOAJ |
language |
zho |
format |
Article |
sources |
DOAJ |
author |
Wang Qian Xu Yajie Zeng Guoqiang Sun Mingshan |
spellingShingle |
Wang Qian Xu Yajie Zeng Guoqiang Sun Mingshan Pulse wave extraction and dual domain analysis Dianzi Jishu Yingyong pulse wave optimal pressure piezoelectric sensor dual domain analysis blood pressure |
author_facet |
Wang Qian Xu Yajie Zeng Guoqiang Sun Mingshan |
author_sort |
Wang Qian |
title |
Pulse wave extraction and dual domain analysis |
title_short |
Pulse wave extraction and dual domain analysis |
title_full |
Pulse wave extraction and dual domain analysis |
title_fullStr |
Pulse wave extraction and dual domain analysis |
title_full_unstemmed |
Pulse wave extraction and dual domain analysis |
title_sort |
pulse wave extraction and dual domain analysis |
publisher |
National Computer System Engineering Research Institute of China |
series |
Dianzi Jishu Yingyong |
issn |
0258-7998 |
publishDate |
2019-02-01 |
description |
Two methods for measuring pulse wave using either a pressure or an optical sensor are studied and compared. A model for determining the optimal external force for restraining the pressure sensor is proposed. Pulse waves are measured on 20 volunteers. The restraint force on the pressure sensor is slowly varied and recorded using a piezoelectric film sensor for each person until it reaches a so-called optimal acquisition pressure under which the pulse wave has the greatest amplitude. The optimal pressure is then analyzed using polynomial regression with the body-mass index(BMI). In addition, the pulse waves are decomposed in both the time and frequency domains to identify and extract the features corresponding to physiological activities. Pulse waves measured with the optical sensor method suffer from feature point loss where certain points are submerged and indistinguishable. The pressure sensor method can reveal the feature points clearly, but the waveform exhibits variations if the external force applied isn′t a constant. With the application of optimal acquisition force set by our model, the latter method is able to detect pulse wave with a high signal-to-noise ratio. The dual domain analysis is shown to extract features that can be later used for continuous blood pressure monitoring. |
topic |
pulse wave optimal pressure piezoelectric sensor dual domain analysis blood pressure |
url |
http://www.chinaaet.com/article/3000097470 |
work_keys_str_mv |
AT wangqian pulsewaveextractionanddualdomainanalysis AT xuyajie pulsewaveextractionanddualdomainanalysis AT zengguoqiang pulsewaveextractionanddualdomainanalysis AT sunmingshan pulsewaveextractionanddualdomainanalysis |
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