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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.
Afiliação
  • Jorge J; Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK. joao.jorge@eng.ox.ac.uk.
  • Villarroel M; NIHR Biomedical Research Centre, Oxford, UK. joao.jorge@eng.ox.ac.uk.
  • Tomlinson H; Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
  • Gibson O; NIHR Biomedical Research Centre, Oxford, UK.
  • Darbyshire JL; Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
  • Ede J; Oxehealth Ltd., The Oxford Science Park, Magdalen Centre North, Oxford, UK.
  • Harford M; Kadoorie Centre for Critical Care Research and Education, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
  • Young JD; NIHR Biomedical Research Centre, Oxford, UK.
  • Tarassenko L; Kadoorie Centre for Critical Care Research and Education, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
  • Watkinson P; NIHR Biomedical Research Centre, Oxford, UK.
NPJ Digit Med ; 5(1): 4, 2022 Jan 13.
Article em En | MEDLINE | ID: mdl-35027658
ABSTRACT
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: NPJ Digit Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: NPJ Digit Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido
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