ICU sedation, delirium & recovery

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

J Clin Monit ComputPublished Prospective cohort study

Authors' conclusion

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

Study context

Population
Heterogeneous population of critically ill ICU patients
Participants
35 ICU patients
Exposure
Video-based vs Reference standard
Outcome
Agreement of video-based heart rate and respiratory rate with the clinical reference standard (Bland-Altman, ICC, error grid analyses)
Follow-up
24 h
Methodological detailsprospective observational, continuous monitoring for 24 h
  • Prospective observational
  • Continuous monitoring for 24 h

Main finding

As reported in the abstract

Agreement with reference standard
Heart rate bias
2.1 bpm (limits - 33.6 to 37.7)
Heart rate within ± 5 bpm
81.9%
Heart rate in error grid zones A/B
99.3%
Heart rate intraclass correlation coefficients (ICC)
0.43
Respiratory rate bias
- 2.4 breaths/min (limits - 14.3 to 9.5)
Respiratory rate within ± 3 breaths
63.5%
Respiratory rate in zones A/B
87.5%
Respiratory rate ICC
0.41

Observational data: associations, not effects.

Further findings

Factors affecting agreement (generalized estimating equations (GEE))

High heart rate, atrial fibrillation, norepinephrine administration and movement reduced agreement for heart rate
Movement reduced agreement for respiratory rate

Original publication

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. J Clin Monit Comput. Published 13 May 2026. doi:10.1007/s10877-026-01440-0

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