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Respiration Monitoring via Forcecardiography Sensors
In the last few decades, a number of wearable systems for respiration monitoring that help to significantly reduce patients’ discomfort and improve the reliability of measurements have been presented. A recent research trend in biosignal acquisition is focusing on the development of monolithic senso...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8228286/ https://www.ncbi.nlm.nih.gov/pubmed/34207899 http://dx.doi.org/10.3390/s21123996 |
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author | Andreozzi, Emilio Centracchio, Jessica Punzo, Vincenzo Esposito, Daniele Polley, Caitlin Gargiulo, Gaetano D. Bifulco, Paolo |
author_facet | Andreozzi, Emilio Centracchio, Jessica Punzo, Vincenzo Esposito, Daniele Polley, Caitlin Gargiulo, Gaetano D. Bifulco, Paolo |
author_sort | Andreozzi, Emilio |
collection | PubMed |
description | In the last few decades, a number of wearable systems for respiration monitoring that help to significantly reduce patients’ discomfort and improve the reliability of measurements have been presented. A recent research trend in biosignal acquisition is focusing on the development of monolithic sensors for monitoring multiple vital signs, which could improve the simultaneous recording of different physiological data. This study presents a performance analysis of respiration monitoring performed via forcecardiography (FCG) sensors, as compared to ECG-derived respiration (EDR) and electroresistive respiration band (ERB), which was assumed as the reference. FCG is a novel technique that records the cardiac-induced vibrations of the chest wall via specific force sensors, which provide seismocardiogram-like information, along with a novel component that seems to be related to the ventricular volume variations. Simultaneous acquisitions were obtained from seven healthy subjects at rest, during both quiet breathing and forced respiration at higher and lower rates. The raw FCG sensor signals featured a large, low-frequency, respiratory component (R-FCG), in addition to the common FCG signal. Statistical analyses of R-FCG, EDR and ERB signals showed that FCG sensors ensure a more sensitive and precise detection of respiratory acts than EDR (sensitivity: 100% vs. 95.8%, positive predictive value: 98.9% vs. 92.5%), as well as a superior accuracy and precision in interbreath interval measurement (linear regression slopes and intercepts: 0.99, 0.026 s (R(2) = 0.98) vs. 0.98, 0.11 s (R(2) = 0.88), Bland–Altman limits of agreement: ±0.61 s vs. ±1.5 s). This study represents a first proof of concept for the simultaneous recording of respiration signals and forcecardiograms with a single, local, small, unobtrusive, cheap sensor. This would extend the scope of FCG to monitoring multiple vital signs, as well as to the analysis of cardiorespiratory interactions, also paving the way for the continuous, long-term monitoring of patients with heart and pulmonary diseases. |
format | Online Article Text |
id | pubmed-8228286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82282862021-06-26 Respiration Monitoring via Forcecardiography Sensors Andreozzi, Emilio Centracchio, Jessica Punzo, Vincenzo Esposito, Daniele Polley, Caitlin Gargiulo, Gaetano D. Bifulco, Paolo Sensors (Basel) Article In the last few decades, a number of wearable systems for respiration monitoring that help to significantly reduce patients’ discomfort and improve the reliability of measurements have been presented. A recent research trend in biosignal acquisition is focusing on the development of monolithic sensors for monitoring multiple vital signs, which could improve the simultaneous recording of different physiological data. This study presents a performance analysis of respiration monitoring performed via forcecardiography (FCG) sensors, as compared to ECG-derived respiration (EDR) and electroresistive respiration band (ERB), which was assumed as the reference. FCG is a novel technique that records the cardiac-induced vibrations of the chest wall via specific force sensors, which provide seismocardiogram-like information, along with a novel component that seems to be related to the ventricular volume variations. Simultaneous acquisitions were obtained from seven healthy subjects at rest, during both quiet breathing and forced respiration at higher and lower rates. The raw FCG sensor signals featured a large, low-frequency, respiratory component (R-FCG), in addition to the common FCG signal. Statistical analyses of R-FCG, EDR and ERB signals showed that FCG sensors ensure a more sensitive and precise detection of respiratory acts than EDR (sensitivity: 100% vs. 95.8%, positive predictive value: 98.9% vs. 92.5%), as well as a superior accuracy and precision in interbreath interval measurement (linear regression slopes and intercepts: 0.99, 0.026 s (R(2) = 0.98) vs. 0.98, 0.11 s (R(2) = 0.88), Bland–Altman limits of agreement: ±0.61 s vs. ±1.5 s). This study represents a first proof of concept for the simultaneous recording of respiration signals and forcecardiograms with a single, local, small, unobtrusive, cheap sensor. This would extend the scope of FCG to monitoring multiple vital signs, as well as to the analysis of cardiorespiratory interactions, also paving the way for the continuous, long-term monitoring of patients with heart and pulmonary diseases. MDPI 2021-06-09 /pmc/articles/PMC8228286/ /pubmed/34207899 http://dx.doi.org/10.3390/s21123996 Text en © 2021 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 Andreozzi, Emilio Centracchio, Jessica Punzo, Vincenzo Esposito, Daniele Polley, Caitlin Gargiulo, Gaetano D. Bifulco, Paolo Respiration Monitoring via Forcecardiography Sensors |
title | Respiration Monitoring via Forcecardiography Sensors |
title_full | Respiration Monitoring via Forcecardiography Sensors |
title_fullStr | Respiration Monitoring via Forcecardiography Sensors |
title_full_unstemmed | Respiration Monitoring via Forcecardiography Sensors |
title_short | Respiration Monitoring via Forcecardiography Sensors |
title_sort | respiration monitoring via forcecardiography sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8228286/ https://www.ncbi.nlm.nih.gov/pubmed/34207899 http://dx.doi.org/10.3390/s21123996 |
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