Evidence map›Paper›PMID 35027658›Full record

ArticleNPJ digital medicine2022

Non-contact physiological monitoring of post-operative patients in the intensive care unit.

João Jorge, Mauricio Villarroel, Hamish Tomlinson, Oliver Gibson, Julie L Darbyshire, Jody Ede, Mirae Harford, John Duncan Young, Lionel Tarassenko, Peter Watkinson

Open access · goldAbstract read
In one paragraph

Article in NPJ digital medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Observational
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  4. Observational
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  8. Review
  9. The digital transformation of surgery.NPJ digital medicine · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

João Jorge *Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK. joao.jorge@eng.ox.ac.uk.ORCID http://orcid.org/0000-0003-3723-8103
Mauricio Villarroel *Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
Hamish TomlinsonInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
Oliver GibsonOxehealth Ltd., The Oxford Science Park, Magdalen Centre North, Oxford, UK.
Julie L DarbyshireKadoorie Centre for Critical Care Research and Education, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-7655-1963
Jody EdeNIHR Biomedical Research Centre, Oxford, UK.
Mirae HarfordNIHR Biomedical Research Centre, Oxford, UK.ORCID http://orcid.org/0000-0003-2851-1577
John Duncan YoungKadoorie Centre for Critical Care Research and Education, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-6838-4835
Lionel TarassenkoInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-0118-1646
Peter WatkinsonNIHR Biomedical Research Centre, Oxford, UK.
University of Oxford · GBScience Oxford · GB

Funding

DH | National Institute for Health Research (NIHR) Academic Clinical FellowshipDH | National Institute for Health Research (NIHR) Biomedical Research Centre Programme, OxfordInnovate UK 102110Wellcome TrustWellcome Trust (Wellcome) WT88877/Z/09/Z
6 · The paper itself

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.

Identifiers

PMID35027658
PMCPMC8758749
OpenAlexW3193827848

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.