Journal of Critical Care
Volume 26, Issue 1 , Pages 105.e1-105.e9, February 2011

Toward optimal display of physiologic status in critical care: I. Recreating bedside displays from archived physiologic data☆☆☆

  • Anton Burykin, PhD

      Affiliations

    • Emory Center for Critical Care (ECCC) and Department of Surgery, School of Medicine, Emory University, Atlanta, GA 30322, USA
    • Department of Surgery, School of Medicine Washington University in St Louis, St Louis, MO 63110, USA
    • Corresponding Author InformationCorresponding author. Department of Surgery, Emory University, Atlanta, GA 30322, USA. Tel.: +1 314 761 5422.
    web address
    • ,
  • Tyler Peck, BA

      Affiliations

    • Department of Surgery, School of Medicine Washington University in St Louis, St Louis, MO 63110, USA
    • ,
  • Vladimir Krejci, MD

      Affiliations

    • Department of Anesthesiology, University Hospital of Bern, CH-3010 Bern, Switzerland
    • ,
  • Andrea Vannucci, MD

      Affiliations

    • Department of Anesthesiology, School of Medicine Washington University in St Louis, St Louis, MO 63110, USA
    • ,
  • Ivan Kangrga, MD, PhD

      Affiliations

    • Department of Anesthesiology, School of Medicine Washington University in St Louis, St Louis, MO 63110, USA
    • ,
  • Timothy G. Buchman, PhD, MD

      Affiliations

    • Emory Center for Critical Care (ECCC) and Department of Surgery, School of Medicine, Emory University, Atlanta, GA 30322, USA
    • Department of Surgery, School of Medicine Washington University in St Louis, St Louis, MO 63110, USA

published online 02 September 2010.

Abstract 

Background

Physiologic data display is essential to decision making in critical care. Current displays echo first-generation hemodynamic monitors dating to the 1970s and have not kept pace with new insights into physiology or the needs of clinicians who must make progressively more complex decisions about their patients. The effectiveness of any redesign must be tested before deployment. Tools that compare current displays with novel presentations of processed physiologic data are required. Regenerating conventional physiologic displays from archived physiologic data is an essential first step.

Objectives

The purposes of the study were to (1) describe the SSSI (single sensor single indicator) paradigm that is currently used for physiologic signal displays, (2) identify and discuss possible extensions and enhancements of the SSSI paradigm, and (3) develop a general approach and a software prototype to construct such “extended SSSI displays” from raw data.

Results

We present Multi Wave Animator (MWA) framework—a set of open source MATLAB (MathWorks, Inc., Natick, MA, USA) scripts aimed to create dynamic visualizations (eg, video files in AVI format) of patient vital signs recorded from bedside (intensive care unit or operating room) monitors. Multi Wave Animator creates animations in which vital signs are displayed to mimic their appearance on current bedside monitors. The source code of MWA is freely available online together with a detailed tutorial and sample data sets.

Abbreviations: GUI, graphical user interface, HRV, Heart Rate Variability, ICU, Intensive Care Unit, MODS, multiple organ dysfunction syndrome, MWA, Multi Wave Animator, OR, Operating Room, SICU, Surgery Intensive Care Unit, SSSI, single sensor single indicator

Keywords: Data display, Dynamic visualization, Scientific visualization, Patient monitoring, Visualization of physiologic signals, Medical education

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☆ Financial support: This work was generously supported by grants from the James S. McDonnell Foundation (220020070) and Defense Advanced Research Project Agency (DARPA) (49533-LS-DRP and HR0011-05-1-0057).

☆☆ Conflict of Interest: none declared

PII: S0883-9441(10)00176-0

doi:10.1016/j.jcrc.2010.06.013

Journal of Critical Care
Volume 26, Issue 1 , Pages 105.e1-105.e9, February 2011

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