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Updated: Jan 23, 2026

Objective Nociceptive Assessment in Ventilated ICU Patients: A Feasibility Study Using Pupillometry and the Nociceptive Flexion Reflex
Published on: July 4, 2018
Comparison of Automated Activity Recognition to Provider Observations of Patient Mobility in the ICU
Nishi Rawat1,2, Vishal Rao3, Michael Peven3
1Department of Anesthesia and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Objectives:
To compare noninvasive mobility sensor patient motion signature to direct observations by physicians and nurses.
Design:
Prospective, observational study.
Setting:
Academic hospital surgical ICU.
Patients And Measurements:
A total of 2,426 1-minute clips from six ICU patients (development dataset) and 4,824 1-minute clips from five patients (test dataset).
Interventions:
None.
Main Results:
Noninvasive mobility sensor achieved a minute-level accuracy of 94.2% (2,138/2,272) and an hour-level accuracy of 81.4% (70/86).
Conclusions:
The automated noninvasive mobility sensor system represents a significant departure from current manual measurement and reporting used in clinical care, lowering the burden of measurement and documentation on caregivers.
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