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...
| প্রধান লেখক: | , , , , , , , , , |
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| বিন্যাস: | Journal article |
| ভাষা: | English |
| প্রকাশিত: |
Springer Nature
2022
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| _version_ | 1826256911383658496 |
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| author | Jorge, J Villarroel, M Tomlinson, H Gibson, O Darbyshire, J Ede, J Harford, M Young, JD Tarassenko, L Watkinson, P |
| author_facet | Jorge, J Villarroel, M Tomlinson, H Gibson, O Darbyshire, J Ede, J Harford, M Young, JD Tarassenko, L Watkinson, P |
| author_sort | Jorge, J |
| collection | OXFORD |
| 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. |
| first_indexed | 2024-03-06T18:09:46Z |
| format | Journal article |
| id | oxford-uuid:029bcb18-ae73-45d7-be8e-c2bbd84b2f33 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T18:09:46Z |
| publishDate | 2022 |
| publisher | Springer Nature |
| record_format | dspace |
| spelling | oxford-uuid:029bcb18-ae73-45d7-be8e-c2bbd84b2f332022-03-26T08:41:42ZNon-contact physiological monitoring of post-operative patients in the Intensive Care UnitJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:029bcb18-ae73-45d7-be8e-c2bbd84b2f33EnglishSymplectic ElementsSpringer Nature2022Jorge, JVillarroel, MTomlinson, HGibson, ODarbyshire, JEde, JHarford, MYoung, JDTarassenko, LWatkinson, PProlonged 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. |
| spellingShingle | Jorge, J Villarroel, M Tomlinson, H Gibson, O Darbyshire, J Ede, J Harford, M Young, JD Tarassenko, L Watkinson, P 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 |
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