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Clinical Validation of a Soft Wireless Continuous Blood Pressure Sensor During Surgery

We test a new wireless soft capacitance sensor (CAP) based on applanation tonometry at the radial and dorsalis pedis arteries against the gold standard, invasive arterial line (A-Line), for continuous beat to beat blood pressure (BP) measurements in the Operating Room during surgical procedures unde...

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Autores principales: Chou, En-Fan, Cheung, Shin Yu Celia, Maxwell, Hailey Christine, Pham, Nicholas, Khine, Michelle, Rinehart, Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521971/
https://www.ncbi.nlm.nih.gov/pubmed/34713172
http://dx.doi.org/10.3389/fdgth.2021.696606
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author Chou, En-Fan
Cheung, Shin Yu Celia
Maxwell, Hailey Christine
Pham, Nicholas
Khine, Michelle
Rinehart, Joseph
author_facet Chou, En-Fan
Cheung, Shin Yu Celia
Maxwell, Hailey Christine
Pham, Nicholas
Khine, Michelle
Rinehart, Joseph
author_sort Chou, En-Fan
collection PubMed
description We test a new wireless soft capacitance sensor (CAP) based on applanation tonometry at the radial and dorsalis pedis arteries against the gold standard, invasive arterial line (A-Line), for continuous beat to beat blood pressure (BP) measurements in the Operating Room during surgical procedures under anesthesia in 17 subjects with the mean age and body mass index (BMI) of 57. 35 ± 18.72 years and 27.36 ± 4.20 kg/m(2), respectively. We have identified several parameters to monitor in order to compare how well the CAP sensor tracks the entire hemodynamic waveform as compared to the A-Line. This includes waveform similarity, heart rate (HR), absolute systolic BP (SBP), diastolic BP (DBP), and temporal response to a vasopressor. Overall, the CAP sensor shows good correlations with A-Line with respect to hemodynamic shape (r > 0.89), HR (mean bias = 0.0006; SD = 0.17), absolute SBP, and DBP in a line of best fit (slope = 0.98 in SBP; 1.08 in DBP) and the mean bias derived from Bland-Altman method to be 1.92 (SD = 12.55) in SBP and 2.38 (SD = 12.19) in DBP across body habitus and age in OR patients under general anesthesia. While we do observe drifts in the system, we still obtain decent correlations with respect to the A-Line as evidenced by excellent linear fit and low mean bias across patients. When we post-process using a different calibration method to account for the drift, the mean bias and SD improve dramatically to −1.85 and 7.19 DBP as well as 1.43 and 7.43 SBP, respectively, indicating a promising potential for improvement when we integrate strategies to account for movement identified by our integrated accelerometer data.
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spelling pubmed-85219712021-10-27 Clinical Validation of a Soft Wireless Continuous Blood Pressure Sensor During Surgery Chou, En-Fan Cheung, Shin Yu Celia Maxwell, Hailey Christine Pham, Nicholas Khine, Michelle Rinehart, Joseph Front Digit Health Digital Health We test a new wireless soft capacitance sensor (CAP) based on applanation tonometry at the radial and dorsalis pedis arteries against the gold standard, invasive arterial line (A-Line), for continuous beat to beat blood pressure (BP) measurements in the Operating Room during surgical procedures under anesthesia in 17 subjects with the mean age and body mass index (BMI) of 57. 35 ± 18.72 years and 27.36 ± 4.20 kg/m(2), respectively. We have identified several parameters to monitor in order to compare how well the CAP sensor tracks the entire hemodynamic waveform as compared to the A-Line. This includes waveform similarity, heart rate (HR), absolute systolic BP (SBP), diastolic BP (DBP), and temporal response to a vasopressor. Overall, the CAP sensor shows good correlations with A-Line with respect to hemodynamic shape (r > 0.89), HR (mean bias = 0.0006; SD = 0.17), absolute SBP, and DBP in a line of best fit (slope = 0.98 in SBP; 1.08 in DBP) and the mean bias derived from Bland-Altman method to be 1.92 (SD = 12.55) in SBP and 2.38 (SD = 12.19) in DBP across body habitus and age in OR patients under general anesthesia. While we do observe drifts in the system, we still obtain decent correlations with respect to the A-Line as evidenced by excellent linear fit and low mean bias across patients. When we post-process using a different calibration method to account for the drift, the mean bias and SD improve dramatically to −1.85 and 7.19 DBP as well as 1.43 and 7.43 SBP, respectively, indicating a promising potential for improvement when we integrate strategies to account for movement identified by our integrated accelerometer data. Frontiers Media S.A. 2021-07-22 /pmc/articles/PMC8521971/ /pubmed/34713172 http://dx.doi.org/10.3389/fdgth.2021.696606 Text en Copyright © 2021 Chou, Cheung, Maxwell, Pham, Khine and Rinehart. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Digital Health
Chou, En-Fan
Cheung, Shin Yu Celia
Maxwell, Hailey Christine
Pham, Nicholas
Khine, Michelle
Rinehart, Joseph
Clinical Validation of a Soft Wireless Continuous Blood Pressure Sensor During Surgery
title Clinical Validation of a Soft Wireless Continuous Blood Pressure Sensor During Surgery
title_full Clinical Validation of a Soft Wireless Continuous Blood Pressure Sensor During Surgery
title_fullStr Clinical Validation of a Soft Wireless Continuous Blood Pressure Sensor During Surgery
title_full_unstemmed Clinical Validation of a Soft Wireless Continuous Blood Pressure Sensor During Surgery
title_short Clinical Validation of a Soft Wireless Continuous Blood Pressure Sensor During Surgery
title_sort clinical validation of a soft wireless continuous blood pressure sensor during surgery
topic Digital Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521971/
https://www.ncbi.nlm.nih.gov/pubmed/34713172
http://dx.doi.org/10.3389/fdgth.2021.696606
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