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Cuffless Blood Pressure Estimation Using Pressure Pulse Wave Signals

Pulse transit time (PTT) has received considerable attention for noninvasive cuffless blood pressure measurement. However, this approach is inconvenient to deploy in wearable devices because two sensors are required for collecting two-channel physiological signals, such as electrocardiogram and puls...

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Autores principales: Liu, Zeng-Ding, Liu, Ji-Kui, Wen, Bo, He, Qing-Yun, Li, Ye, Miao, Fen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308537/
https://www.ncbi.nlm.nih.gov/pubmed/30513838
http://dx.doi.org/10.3390/s18124227
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author Liu, Zeng-Ding
Liu, Ji-Kui
Wen, Bo
He, Qing-Yun
Li, Ye
Miao, Fen
author_facet Liu, Zeng-Ding
Liu, Ji-Kui
Wen, Bo
He, Qing-Yun
Li, Ye
Miao, Fen
author_sort Liu, Zeng-Ding
collection PubMed
description Pulse transit time (PTT) has received considerable attention for noninvasive cuffless blood pressure measurement. However, this approach is inconvenient to deploy in wearable devices because two sensors are required for collecting two-channel physiological signals, such as electrocardiogram and pulse wave signals. In this study, we investigated the pressure pulse wave (PPW) signals collected from one piezoelectric-induced sensor located at a single site for cuffless blood pressure estimation. Twenty-one features were extracted from PPW that collected from the radial artery, and then a linear regression method was used to develop blood pressure estimation models by using the extracted PPW features. Sixty-five middle-aged and elderly participants were recruited to evaluate the performance of the constructed blood pressure estimation models, with oscillometric technique-based blood pressure as a reference. The experimental results indicated that the mean ± standard deviation errors for the estimated systolic blood pressure and diastolic blood pressure were 0.70 ± 7.78 mmHg and 0.83 ± 5.45 mmHg, which achieved a decrease of 1.33 ± 0.37 mmHg in systolic blood pressure and 1.14 ± 0.20 mmHg in diastolic blood pressure, compared with the conventional PTT-based method. The proposed model also demonstrated a high level of robustness in a maximum 60-day follow-up study. These results indicated that PPW obtained from the piezoelectric sensor has great feasibility for cuffless blood pressure estimation, and could serve as a promising method in home healthcare settings.
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spelling pubmed-63085372019-01-04 Cuffless Blood Pressure Estimation Using Pressure Pulse Wave Signals Liu, Zeng-Ding Liu, Ji-Kui Wen, Bo He, Qing-Yun Li, Ye Miao, Fen Sensors (Basel) Article Pulse transit time (PTT) has received considerable attention for noninvasive cuffless blood pressure measurement. However, this approach is inconvenient to deploy in wearable devices because two sensors are required for collecting two-channel physiological signals, such as electrocardiogram and pulse wave signals. In this study, we investigated the pressure pulse wave (PPW) signals collected from one piezoelectric-induced sensor located at a single site for cuffless blood pressure estimation. Twenty-one features were extracted from PPW that collected from the radial artery, and then a linear regression method was used to develop blood pressure estimation models by using the extracted PPW features. Sixty-five middle-aged and elderly participants were recruited to evaluate the performance of the constructed blood pressure estimation models, with oscillometric technique-based blood pressure as a reference. The experimental results indicated that the mean ± standard deviation errors for the estimated systolic blood pressure and diastolic blood pressure were 0.70 ± 7.78 mmHg and 0.83 ± 5.45 mmHg, which achieved a decrease of 1.33 ± 0.37 mmHg in systolic blood pressure and 1.14 ± 0.20 mmHg in diastolic blood pressure, compared with the conventional PTT-based method. The proposed model also demonstrated a high level of robustness in a maximum 60-day follow-up study. These results indicated that PPW obtained from the piezoelectric sensor has great feasibility for cuffless blood pressure estimation, and could serve as a promising method in home healthcare settings. MDPI 2018-12-02 /pmc/articles/PMC6308537/ /pubmed/30513838 http://dx.doi.org/10.3390/s18124227 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
Liu, Zeng-Ding
Liu, Ji-Kui
Wen, Bo
He, Qing-Yun
Li, Ye
Miao, Fen
Cuffless Blood Pressure Estimation Using Pressure Pulse Wave Signals
title Cuffless Blood Pressure Estimation Using Pressure Pulse Wave Signals
title_full Cuffless Blood Pressure Estimation Using Pressure Pulse Wave Signals
title_fullStr Cuffless Blood Pressure Estimation Using Pressure Pulse Wave Signals
title_full_unstemmed Cuffless Blood Pressure Estimation Using Pressure Pulse Wave Signals
title_short Cuffless Blood Pressure Estimation Using Pressure Pulse Wave Signals
title_sort cuffless blood pressure estimation using pressure pulse wave signals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308537/
https://www.ncbi.nlm.nih.gov/pubmed/30513838
http://dx.doi.org/10.3390/s18124227
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