Evidence map›Paper›PMID 42126775›Full record

Observational studyJournal of clinical monitoring and computing2026

Clinical validation of video-based vital sign monitoring in the intensive care unit: a prospective cohort study : Clinical validation of video-based vital sign monitoring.

Iris Cramer, Rik van Esch, Cindy Verstappen, Carla Kloeze, Jos Twisk, Sander Stuijk, Jan Bergmans, Svitlana Zinger, Ashley De Bie Dekker, Marcel van 't Veer and 3 more

Abstract readObservational StudyValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Journal of clinical monitoring and computing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Iris CramerDepartment of Electrical Engineering, Eindhoven University of Technology, Groene loper 3, 5612 AZ, Eindhoven, The Netherlands. I.c.cramer@tue.nl.ORCID http://orcid.org/0009-0006-9781-8475
Rik van EschDepartment of Electrical Engineering, Eindhoven University of Technology, Groene loper 3, 5612 AZ, Eindhoven, The Netherlands.
Cindy VerstappenDepartment of Electrical Engineering, Eindhoven University of Technology, Groene loper 3, 5612 AZ, Eindhoven, The Netherlands.
Carla KloezeDepartment of Medical physics, Catharina Hospital, Eindhoven, The Netherlands.
Jos TwiskDepartment of Epidemiology and Data science, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Sander StuijkDepartment of Electrical Engineering, Eindhoven University of Technology, Groene loper 3, 5612 AZ, Eindhoven, The Netherlands.
Jan BergmansDepartment of Electrical Engineering, Eindhoven University of Technology, Groene loper 3, 5612 AZ, Eindhoven, The Netherlands.
Svitlana ZingerDepartment of Electrical Engineering, Eindhoven University of Technology, Groene loper 3, 5612 AZ, Eindhoven, The Netherlands.
Ashley De Bie DekkerDepartment of Electrical Engineering, Eindhoven University of Technology, Groene loper 3, 5612 AZ, Eindhoven, The Netherlands.
Marcel van 't VeerDepartment of Cardiology, Catharina Hospital Eindhoven, Eindhoven, The Netherlands.
R Arthur BouwmanDepartment of Electrical Engineering, Eindhoven University of Technology, Groene loper 3, 5612 AZ, Eindhoven, The Netherlands.
Lukas DekkerDepartment of Electrical Engineering, Eindhoven University of Technology, Groene loper 3, 5612 AZ, Eindhoven, The Netherlands.
Leon MontenijDepartment of Electrical Engineering, Eindhoven University of Technology, Groene loper 3, 5612 AZ, Eindhoven, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeVideo-based monitoring technologies enable continuous and contactless monitoring of vital signs. This study evaluates the clinical concordance and determinants of performance of contactless video-based heart and respiratory rate monitoring compared with reference standards in a heterogeneous population of critically ill patients.

methodsIn this prospective observational study, 35 intensive care unit patients were continuously monitored for 24 h. Video-based heart rate and respiratory rate were compared with the clinical reference standard. Agreement was assessed using Bland-Altman plots, intraclass correlation coefficients (ICC), and error grid analyses. Generalized estimating equations (GEE) identified factors affecting agreement.

resultsFor heart rate, bias was 2.1 bpm (limits - 33.6 to 37.7), with 81.9% within ± 5 bpm and 99.3% in error grid zones A/B. ICC was 0.43. For respiratory rate, bias was - 2.4 breaths/min (limits - 14.3 to 9.5), with 63.5% within ± 3 breaths and 87.5% in zones A/B. ICC was 0.41. High heart rate, atrial fibrillation, norepinephrine administration, and movement reduced agreement for heart rate; movement reduced agreement for respiratory rate.

conclusionVideo-based monitoring shows promise for detecting abnormal vital signs in critically ill patients, but improved robustness to motion is needed for reliable clinical implementation.

Indexed as

Intensive Care UnitsVideo RecordingVital SignsAgedCritical CareCritical IllnessFemaleHeart RateHumansMaleMiddle AgedMonitoring, PhysiologicProspective StudiesReproducibility of ResultsRespiratory RateCritical careHeart ratePhysiologic monitoringRespiratory rateVideo monitoring

Identifiers

PMID42126775
PMCPMC13562297

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Registered trials

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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.