Cargando…
Simultaneous piezoelectric noninvasive detection of multiple vital signs
The monitoring of vital signs plays a key role in the diagnosis of several diseases. Piezoelectric sensors have been utilized to collect a corresponding representative signal from the chest surface. The subject typically needs to hold his or her breath to eliminate the respiration effect. This work...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962459/ https://www.ncbi.nlm.nih.gov/pubmed/31942021 http://dx.doi.org/10.1038/s41598-019-57326-6 |
_version_ | 1783488168812609536 |
---|---|
author | Allataifeh, Areen Al Ahmad, Mahmoud |
author_facet | Allataifeh, Areen Al Ahmad, Mahmoud |
author_sort | Allataifeh, Areen |
collection | PubMed |
description | The monitoring of vital signs plays a key role in the diagnosis of several diseases. Piezoelectric sensors have been utilized to collect a corresponding representative signal from the chest surface. The subject typically needs to hold his or her breath to eliminate the respiration effect. This work further contributes to the extraction of the corresponding representative vital signs directly from the measured respiration signal. The contraction and expansion of the heart muscles, as well as the respiration activities, will induce a mechanical vibration across the chest wall. The induced vibration is then captured by the piezoelectric sensor placed at the chest surface, which produces an electrical output voltage signal conformally mapped with the respiration-cardiac activities. During breathing, the measured voltage signal is composed of the cardiac cycle activities modulated along with the respiratory cycle activity. A representative model that incorporates the cardiac and respiratory activities is developed and adopted. The piezoelectric and the convolution theories along with Fourier transformation are applied to extract the corresponding cardiac activity signal from the respiration signal. All the results were validated step by step by a conventional apparatus, with good agreement observed. |
format | Online Article Text |
id | pubmed-6962459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69624592020-01-23 Simultaneous piezoelectric noninvasive detection of multiple vital signs Allataifeh, Areen Al Ahmad, Mahmoud Sci Rep Article The monitoring of vital signs plays a key role in the diagnosis of several diseases. Piezoelectric sensors have been utilized to collect a corresponding representative signal from the chest surface. The subject typically needs to hold his or her breath to eliminate the respiration effect. This work further contributes to the extraction of the corresponding representative vital signs directly from the measured respiration signal. The contraction and expansion of the heart muscles, as well as the respiration activities, will induce a mechanical vibration across the chest wall. The induced vibration is then captured by the piezoelectric sensor placed at the chest surface, which produces an electrical output voltage signal conformally mapped with the respiration-cardiac activities. During breathing, the measured voltage signal is composed of the cardiac cycle activities modulated along with the respiratory cycle activity. A representative model that incorporates the cardiac and respiratory activities is developed and adopted. The piezoelectric and the convolution theories along with Fourier transformation are applied to extract the corresponding cardiac activity signal from the respiration signal. All the results were validated step by step by a conventional apparatus, with good agreement observed. Nature Publishing Group UK 2020-01-15 /pmc/articles/PMC6962459/ /pubmed/31942021 http://dx.doi.org/10.1038/s41598-019-57326-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Allataifeh, Areen Al Ahmad, Mahmoud Simultaneous piezoelectric noninvasive detection of multiple vital signs |
title | Simultaneous piezoelectric noninvasive detection of multiple vital signs |
title_full | Simultaneous piezoelectric noninvasive detection of multiple vital signs |
title_fullStr | Simultaneous piezoelectric noninvasive detection of multiple vital signs |
title_full_unstemmed | Simultaneous piezoelectric noninvasive detection of multiple vital signs |
title_short | Simultaneous piezoelectric noninvasive detection of multiple vital signs |
title_sort | simultaneous piezoelectric noninvasive detection of multiple vital signs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962459/ https://www.ncbi.nlm.nih.gov/pubmed/31942021 http://dx.doi.org/10.1038/s41598-019-57326-6 |
work_keys_str_mv | AT allataifehareen simultaneouspiezoelectricnoninvasivedetectionofmultiplevitalsigns AT alahmadmahmoud simultaneouspiezoelectricnoninvasivedetectionofmultiplevitalsigns |