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

Anton Burykin, Tyler Peck, Vladimir Krejci, Andrea Vannucci, Ivan Kangrga, Timothy G. Buchman

Research output: Contribution to journalArticle

11 Scopus citations

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.

Original languageEnglish
Pages (from-to)105.e1-105.e9
JournalJournal of Critical Care
Volume26
Issue number1
DOIs
StatePublished - Feb 2011

Keywords

  • Data display
  • Dynamic visualization
  • Medical education
  • Patient monitoring
  • Scientific visualization
  • Visualization of physiologic signals

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