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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Main Authors: Wang Qian, Xu Yajie, Zeng Guoqiang, Sun Mingshan
Format: Article
Language:zho
Published: National Computer System Engineering Research Institute of China 2019-02-01
Series:Dianzi Jishu Yingyong
Subjects:
Online Access:http://www.chinaaet.com/article/3000097470
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spelling 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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