Cargando…

An Arterial Compliance Sensor for Cuffless Blood Pressure Estimation Based on Piezoelectric and Optical Signals

Objective: Blood pressure (BP) data can influence therapeutic decisions for some patients, while non-invasive devices that continuously monitor BP can provide patients with a more comprehensive BP assessment. Therefore, this study proposes a multi-sensor-based small cuffless BP monitoring device tha...

Descripción completa

Detalles Bibliográficos
Autores principales: Guo, Cheng-Yan, Chang, Hao-Ching, Wang, Kuan-Jen, Hsieh, Tung-Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413124/
https://www.ncbi.nlm.nih.gov/pubmed/36014249
http://dx.doi.org/10.3390/mi13081327
_version_ 1784775659961188352
author Guo, Cheng-Yan
Chang, Hao-Ching
Wang, Kuan-Jen
Hsieh, Tung-Li
author_facet Guo, Cheng-Yan
Chang, Hao-Ching
Wang, Kuan-Jen
Hsieh, Tung-Li
author_sort Guo, Cheng-Yan
collection PubMed
description Objective: Blood pressure (BP) data can influence therapeutic decisions for some patients, while non-invasive devices that continuously monitor BP can provide patients with a more comprehensive BP assessment. Therefore, this study proposes a multi-sensor-based small cuffless BP monitoring device that integrates a piezoelectric sensor array and an optical sensor, which can monitor the patient’s physiological signals from the radial artery. Method: Based on the Moens–Korteweg (MK) equation of the hemodynamic model, pulse wave velocity (PWV) can be correlated with arterial compliance and BP can be estimated. Therefore, the novel method proposed in this study involves using a piezoelectric sensor array to measure the PWV and an optical sensor to measure the photoplethysmography (PPG) intensity ratio (PIR) signal to estimate the participant’s arterial parameters. The parameters measured by multiple sensors were combined to estimate BP based on the P–β model derived from the MK equation. Result: We recruited 20 participants for the BP monitoring experiment to compare the performance of the BP estimation method with the regression model and the P–β model method with arterial compliance. We then compared the estimated BP with a reference device for validation. The results are presented as the error mean ± standard deviation (SD). Based on the regression model method, systolic blood pressure (SBP) was 0.32 ± 5.94, diastolic blood pressure (DBP) was 2.17 ± 6.22, and mean arterial pressure (MAP) was 1.55 ± 5.83. The results of the P–β model method were as follows: SBP was 0.75 ± 3.9, DBP was 1.1 ± 3.12, and MAP was 0.49 ± 2.82. Conclusion: According to the results of our proposed small cuffless BP monitoring device, both methods of estimating BP conform to ANSI/AAMI/ISO 81060-2:20181_5.2.4.1.2 criterion 1 and 2, and using arterial parameters to calibrate the MK equation model can improve BP estimate accuracy. In the future, our proposed device can provide patients with a convenient and comfortable BP monitoring solution. Since the device is small, it can be used in a public place without attracting other people’s attention, thereby effectively improving the patient’s right to privacy, and increasing their willingness to use it.
format Online
Article
Text
id pubmed-9413124
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-94131242022-08-27 An Arterial Compliance Sensor for Cuffless Blood Pressure Estimation Based on Piezoelectric and Optical Signals Guo, Cheng-Yan Chang, Hao-Ching Wang, Kuan-Jen Hsieh, Tung-Li Micromachines (Basel) Article Objective: Blood pressure (BP) data can influence therapeutic decisions for some patients, while non-invasive devices that continuously monitor BP can provide patients with a more comprehensive BP assessment. Therefore, this study proposes a multi-sensor-based small cuffless BP monitoring device that integrates a piezoelectric sensor array and an optical sensor, which can monitor the patient’s physiological signals from the radial artery. Method: Based on the Moens–Korteweg (MK) equation of the hemodynamic model, pulse wave velocity (PWV) can be correlated with arterial compliance and BP can be estimated. Therefore, the novel method proposed in this study involves using a piezoelectric sensor array to measure the PWV and an optical sensor to measure the photoplethysmography (PPG) intensity ratio (PIR) signal to estimate the participant’s arterial parameters. The parameters measured by multiple sensors were combined to estimate BP based on the P–β model derived from the MK equation. Result: We recruited 20 participants for the BP monitoring experiment to compare the performance of the BP estimation method with the regression model and the P–β model method with arterial compliance. We then compared the estimated BP with a reference device for validation. The results are presented as the error mean ± standard deviation (SD). Based on the regression model method, systolic blood pressure (SBP) was 0.32 ± 5.94, diastolic blood pressure (DBP) was 2.17 ± 6.22, and mean arterial pressure (MAP) was 1.55 ± 5.83. The results of the P–β model method were as follows: SBP was 0.75 ± 3.9, DBP was 1.1 ± 3.12, and MAP was 0.49 ± 2.82. Conclusion: According to the results of our proposed small cuffless BP monitoring device, both methods of estimating BP conform to ANSI/AAMI/ISO 81060-2:20181_5.2.4.1.2 criterion 1 and 2, and using arterial parameters to calibrate the MK equation model can improve BP estimate accuracy. In the future, our proposed device can provide patients with a convenient and comfortable BP monitoring solution. Since the device is small, it can be used in a public place without attracting other people’s attention, thereby effectively improving the patient’s right to privacy, and increasing their willingness to use it. MDPI 2022-08-16 /pmc/articles/PMC9413124/ /pubmed/36014249 http://dx.doi.org/10.3390/mi13081327 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Guo, Cheng-Yan
Chang, Hao-Ching
Wang, Kuan-Jen
Hsieh, Tung-Li
An Arterial Compliance Sensor for Cuffless Blood Pressure Estimation Based on Piezoelectric and Optical Signals
title An Arterial Compliance Sensor for Cuffless Blood Pressure Estimation Based on Piezoelectric and Optical Signals
title_full An Arterial Compliance Sensor for Cuffless Blood Pressure Estimation Based on Piezoelectric and Optical Signals
title_fullStr An Arterial Compliance Sensor for Cuffless Blood Pressure Estimation Based on Piezoelectric and Optical Signals
title_full_unstemmed An Arterial Compliance Sensor for Cuffless Blood Pressure Estimation Based on Piezoelectric and Optical Signals
title_short An Arterial Compliance Sensor for Cuffless Blood Pressure Estimation Based on Piezoelectric and Optical Signals
title_sort arterial compliance sensor for cuffless blood pressure estimation based on piezoelectric and optical signals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413124/
https://www.ncbi.nlm.nih.gov/pubmed/36014249
http://dx.doi.org/10.3390/mi13081327
work_keys_str_mv AT guochengyan anarterialcompliancesensorforcufflessbloodpressureestimationbasedonpiezoelectricandopticalsignals
AT changhaoching anarterialcompliancesensorforcufflessbloodpressureestimationbasedonpiezoelectricandopticalsignals
AT wangkuanjen anarterialcompliancesensorforcufflessbloodpressureestimationbasedonpiezoelectricandopticalsignals
AT hsiehtungli anarterialcompliancesensorforcufflessbloodpressureestimationbasedonpiezoelectricandopticalsignals
AT guochengyan arterialcompliancesensorforcufflessbloodpressureestimationbasedonpiezoelectricandopticalsignals
AT changhaoching arterialcompliancesensorforcufflessbloodpressureestimationbasedonpiezoelectricandopticalsignals
AT wangkuanjen arterialcompliancesensorforcufflessbloodpressureestimationbasedonpiezoelectricandopticalsignals
AT hsiehtungli arterialcompliancesensorforcufflessbloodpressureestimationbasedonpiezoelectricandopticalsignals