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Non-contact physiological monitoring of post-operative patients in the intensive care unit
Prolonged non-contact camera-based monitoring in critically ill patients presents unique challenges, but may facilitate safe recovery. A study was designed to evaluate the feasibility of introducing a non-contact video camera monitoring system into an acute clinical setting. We assessed the accuracy...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758749/ https://www.ncbi.nlm.nih.gov/pubmed/35027658 http://dx.doi.org/10.1038/s41746-021-00543-z |
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author | Jorge, João Villarroel, Mauricio Tomlinson, Hamish Gibson, Oliver Darbyshire, Julie L. Ede, Jody Harford, Mirae Young, John Duncan Tarassenko, Lionel Watkinson, Peter |
author_facet | Jorge, João Villarroel, Mauricio Tomlinson, Hamish Gibson, Oliver Darbyshire, Julie L. Ede, Jody Harford, Mirae Young, John Duncan Tarassenko, Lionel Watkinson, Peter |
author_sort | Jorge, João |
collection | PubMed |
description | Prolonged non-contact camera-based monitoring in critically ill patients presents unique challenges, but may facilitate safe recovery. A study was designed to evaluate the feasibility of introducing a non-contact video camera monitoring system into an acute clinical setting. We assessed the accuracy and robustness of the video camera-derived estimates of the vital signs against the electronically-recorded reference values in both day and night environments. We demonstrated non-contact monitoring of heart rate and respiratory rate for extended periods of time in 15 post-operative patients. Across day and night, heart rate was estimated for up to 53.2% (103.0 h) of the total valid camera data with a mean absolute error (MAE) of 2.5 beats/min in comparison to two reference sensors. We obtained respiratory rate estimates for 63.1% (119.8 h) of the total valid camera data with a MAE of 2.4 breaths/min against the reference value computed from the chest impedance pneumogram. Non-contact estimates detected relevant changes in the vital-sign values between routine clinical observations. Pivotal respiratory events in a post-operative patient could be identified from the analysis of video-derived respiratory information. Continuous vital-sign monitoring supported by non-contact video camera estimates could be used to track early signs of physiological deterioration during post-operative care. |
format | Online Article Text |
id | pubmed-8758749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87587492022-01-20 Non-contact physiological monitoring of post-operative patients in the intensive care unit Jorge, João Villarroel, Mauricio Tomlinson, Hamish Gibson, Oliver Darbyshire, Julie L. Ede, Jody Harford, Mirae Young, John Duncan Tarassenko, Lionel Watkinson, Peter NPJ Digit Med Article Prolonged non-contact camera-based monitoring in critically ill patients presents unique challenges, but may facilitate safe recovery. A study was designed to evaluate the feasibility of introducing a non-contact video camera monitoring system into an acute clinical setting. We assessed the accuracy and robustness of the video camera-derived estimates of the vital signs against the electronically-recorded reference values in both day and night environments. We demonstrated non-contact monitoring of heart rate and respiratory rate for extended periods of time in 15 post-operative patients. Across day and night, heart rate was estimated for up to 53.2% (103.0 h) of the total valid camera data with a mean absolute error (MAE) of 2.5 beats/min in comparison to two reference sensors. We obtained respiratory rate estimates for 63.1% (119.8 h) of the total valid camera data with a MAE of 2.4 breaths/min against the reference value computed from the chest impedance pneumogram. Non-contact estimates detected relevant changes in the vital-sign values between routine clinical observations. Pivotal respiratory events in a post-operative patient could be identified from the analysis of video-derived respiratory information. Continuous vital-sign monitoring supported by non-contact video camera estimates could be used to track early signs of physiological deterioration during post-operative care. Nature Publishing Group UK 2022-01-13 /pmc/articles/PMC8758749/ /pubmed/35027658 http://dx.doi.org/10.1038/s41746-021-00543-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Jorge, João Villarroel, Mauricio Tomlinson, Hamish Gibson, Oliver Darbyshire, Julie L. Ede, Jody Harford, Mirae Young, John Duncan Tarassenko, Lionel Watkinson, Peter Non-contact physiological monitoring of post-operative patients in the intensive care unit |
title | Non-contact physiological monitoring of post-operative patients in the intensive care unit |
title_full | Non-contact physiological monitoring of post-operative patients in the intensive care unit |
title_fullStr | Non-contact physiological monitoring of post-operative patients in the intensive care unit |
title_full_unstemmed | Non-contact physiological monitoring of post-operative patients in the intensive care unit |
title_short | Non-contact physiological monitoring of post-operative patients in the intensive care unit |
title_sort | non-contact physiological monitoring of post-operative patients in the intensive care unit |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758749/ https://www.ncbi.nlm.nih.gov/pubmed/35027658 http://dx.doi.org/10.1038/s41746-021-00543-z |
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