Detection and classification methodology for movements in the bed that supports continuous pressure injury risk

Jonathan Duvall1, Patricia Karg1, David Brienza1

  • 1University of Pittsburgh, Department of Rehabilitation Science and Technology, 6425 Penn Ave, Suite 401, Pittsburgh, PA, 15206, USA.

Insights

The E-scale, a bed monitoring system, accurately detects and classifies patient movements relevant to preventing costly pressure injuries. This technology can prompt care teams for timely interventions, improving patient outcomes.

Area of Science:

  • Biomedical Engineering
  • Clinical Nursing
  • Healthcare Technology

Background:

  • Pressure injuries represent a significant financial burden on healthcare systems and are largely preventable, yet their incidence remains high.
  • Current recommendations emphasize continuous monitoring and care team prompts for effective pressure injury prevention.
  • Existing monitoring systems may not adequately capture patient movement crucial for risk assessment.

Purpose of the Study:

  • To evaluate the feasibility of the E-scale bed weight monitoring system for detecting and classifying patient movements.
  • To assess the E-scale's potential role in pressure injury risk assessment and prevention strategies.
  • To determine the accuracy of a threshold-based algorithm and K-nearest neighbor classification for movement analysis.

Main Methods:

  • Utilized the E-scale, a system employing load cells under bed legs to monitor weight distribution and detect movement.
  • Implemented a threshold-based detection algorithm to identify movement events.
  • Employed a K-nearest neighbor classification approach to categorize different types of patient movements in bed.

Main Results:

  • The E-scale system demonstrated high accuracy (>94%) in detecting and classifying four distinct movement types: rolls, turns in place, extremity movements, and assisted turns.
  • The system proved effective in differentiating various patient repositioning activities.
  • Movement data captured by the E-scale is relevant for pressure injury risk stratification.

Conclusions:

  • The E-scale system is a feasible tool for monitoring patient movements in bed, offering valuable data for pressure injury prevention.
  • This technology can serve as a prompt for healthcare providers, enabling timely interventions to mitigate pressure injury risk.
  • The E-scale supports further research into the efficacy of different care plans and repositioning protocols for pressure injury management.

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