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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
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