Cargando…
Contactless radar-based breathing monitoring of premature infants in the neonatal intensive care unit
Vital sign monitoring systems are essential in the care of hospitalized neonates. Due to the immaturity of their organs and immune system, premature infants require continuous monitoring of their vital parameters and sensors need to be directly attached to their fragile skin. Besides mobility restri...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956695/ https://www.ncbi.nlm.nih.gov/pubmed/35338172 http://dx.doi.org/10.1038/s41598-022-08836-3 |
_version_ | 1784676618010099712 |
---|---|
author | Beltrão, Gabriel Stutz, Regine Hornberger, Franziska Martins, Wallace A. Tatarinov, Dimitri Alaee-Kerahroodi, Mohammad Lindner, Ulrike Stock, Lilly Kaiser, Elisabeth Goedicke-Fritz, Sybelle Schroeder, Udo R., Bhavani Shankar M. Zemlin, Michael |
author_facet | Beltrão, Gabriel Stutz, Regine Hornberger, Franziska Martins, Wallace A. Tatarinov, Dimitri Alaee-Kerahroodi, Mohammad Lindner, Ulrike Stock, Lilly Kaiser, Elisabeth Goedicke-Fritz, Sybelle Schroeder, Udo R., Bhavani Shankar M. Zemlin, Michael |
author_sort | Beltrão, Gabriel |
collection | PubMed |
description | Vital sign monitoring systems are essential in the care of hospitalized neonates. Due to the immaturity of their organs and immune system, premature infants require continuous monitoring of their vital parameters and sensors need to be directly attached to their fragile skin. Besides mobility restrictions and stress, these sensors often cause skin irritation and may lead to pressure necrosis. In this work, we show that a contactless radar-based approach is viable for breathing monitoring in the Neonatal intensive care unit (NICU). For the first time, different scenarios common to the NICU daily routine are investigated, and the challenges of monitoring in a real clinical setup are addressed through different contributions in the signal processing framework. Rather than just discarding measurements under strong interference, we present a novel random body movement mitigation technique based on the time-frequency decomposition of the recovered signal. In addition, we propose a simple and accurate frequency estimator which explores the harmonic structure of the breathing signal. As a result, the proposed radar-based solution is able to provide reliable breathing frequency estimation, which is close to the reference cabled device values most of the time. Our findings shed light on the strengths and limitations of this technology and lay the foundation for future studies toward a completely contactless solution for vital signs monitoring. |
format | Online Article Text |
id | pubmed-8956695 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89566952022-03-28 Contactless radar-based breathing monitoring of premature infants in the neonatal intensive care unit Beltrão, Gabriel Stutz, Regine Hornberger, Franziska Martins, Wallace A. Tatarinov, Dimitri Alaee-Kerahroodi, Mohammad Lindner, Ulrike Stock, Lilly Kaiser, Elisabeth Goedicke-Fritz, Sybelle Schroeder, Udo R., Bhavani Shankar M. Zemlin, Michael Sci Rep Article Vital sign monitoring systems are essential in the care of hospitalized neonates. Due to the immaturity of their organs and immune system, premature infants require continuous monitoring of their vital parameters and sensors need to be directly attached to their fragile skin. Besides mobility restrictions and stress, these sensors often cause skin irritation and may lead to pressure necrosis. In this work, we show that a contactless radar-based approach is viable for breathing monitoring in the Neonatal intensive care unit (NICU). For the first time, different scenarios common to the NICU daily routine are investigated, and the challenges of monitoring in a real clinical setup are addressed through different contributions in the signal processing framework. Rather than just discarding measurements under strong interference, we present a novel random body movement mitigation technique based on the time-frequency decomposition of the recovered signal. In addition, we propose a simple and accurate frequency estimator which explores the harmonic structure of the breathing signal. As a result, the proposed radar-based solution is able to provide reliable breathing frequency estimation, which is close to the reference cabled device values most of the time. Our findings shed light on the strengths and limitations of this technology and lay the foundation for future studies toward a completely contactless solution for vital signs monitoring. Nature Publishing Group UK 2022-03-25 /pmc/articles/PMC8956695/ /pubmed/35338172 http://dx.doi.org/10.1038/s41598-022-08836-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Beltrão, Gabriel Stutz, Regine Hornberger, Franziska Martins, Wallace A. Tatarinov, Dimitri Alaee-Kerahroodi, Mohammad Lindner, Ulrike Stock, Lilly Kaiser, Elisabeth Goedicke-Fritz, Sybelle Schroeder, Udo R., Bhavani Shankar M. Zemlin, Michael Contactless radar-based breathing monitoring of premature infants in the neonatal intensive care unit |
title | Contactless radar-based breathing monitoring of premature infants in the neonatal intensive care unit |
title_full | Contactless radar-based breathing monitoring of premature infants in the neonatal intensive care unit |
title_fullStr | Contactless radar-based breathing monitoring of premature infants in the neonatal intensive care unit |
title_full_unstemmed | Contactless radar-based breathing monitoring of premature infants in the neonatal intensive care unit |
title_short | Contactless radar-based breathing monitoring of premature infants in the neonatal intensive care unit |
title_sort | contactless radar-based breathing monitoring of premature infants in the neonatal intensive care unit |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956695/ https://www.ncbi.nlm.nih.gov/pubmed/35338172 http://dx.doi.org/10.1038/s41598-022-08836-3 |
work_keys_str_mv | AT beltraogabriel contactlessradarbasedbreathingmonitoringofprematureinfantsintheneonatalintensivecareunit AT stutzregine contactlessradarbasedbreathingmonitoringofprematureinfantsintheneonatalintensivecareunit AT hornbergerfranziska contactlessradarbasedbreathingmonitoringofprematureinfantsintheneonatalintensivecareunit AT martinswallacea contactlessradarbasedbreathingmonitoringofprematureinfantsintheneonatalintensivecareunit AT tatarinovdimitri contactlessradarbasedbreathingmonitoringofprematureinfantsintheneonatalintensivecareunit AT alaeekerahroodimohammad contactlessradarbasedbreathingmonitoringofprematureinfantsintheneonatalintensivecareunit AT lindnerulrike contactlessradarbasedbreathingmonitoringofprematureinfantsintheneonatalintensivecareunit AT stocklilly contactlessradarbasedbreathingmonitoringofprematureinfantsintheneonatalintensivecareunit AT kaiserelisabeth contactlessradarbasedbreathingmonitoringofprematureinfantsintheneonatalintensivecareunit AT goedickefritzsybelle contactlessradarbasedbreathingmonitoringofprematureinfantsintheneonatalintensivecareunit AT schroederudo contactlessradarbasedbreathingmonitoringofprematureinfantsintheneonatalintensivecareunit AT rbhavanishankarm contactlessradarbasedbreathingmonitoringofprematureinfantsintheneonatalintensivecareunit AT zemlinmichael contactlessradarbasedbreathingmonitoringofprematureinfantsintheneonatalintensivecareunit |