Comparison of Automated Activity Recognition to Provider Observations of Patient Mobility in the ICU

Crit Care Med. 2019 Sep;47(9):1232-1234. doi: 10.1097/CCM.0000000000003852.

Abstract

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.

Publication types

  • Observational Study

MeSH terms

  • Academic Medical Centers
  • Aged
  • Aged, 80 and over
  • Algorithms
  • Early Ambulation / instrumentation*
  • Female
  • Humans
  • Intensive Care Units / organization & administration*
  • Male
  • Prospective Studies
  • Remote Sensing Technology / instrumentation*