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

doi:10.1016/j.jcrc.2010.06.013

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

Journal article

Peer reviewed

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 and Timothy G. Buchman

Journal of critical care, Vol.26(1), pp.105.e1-105.e9

02/01/2011

DOI: 10.1016/j.jcrc.2010.06.013

PMID: 20813491

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Abstract

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. 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. 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.

Data display

Dynamic visualization

Medical education

Patient monitoring

Scientific visualization

Visualization of physiologic signals

Details

Title: Subtitle: Toward optimal display of physiologic status in critical care: I. Recreating bedside displays from archived physiologic data
Creators: Anton Burykin - Emory University
Tyler Peck - Washington University in St. Louis
Vladimir Krejci - University Hospital of Bern
Andrea Vannucci - Washington University in St. Louis
Ivan Kangrga - Washington University in St. Louis
Timothy G. Buchman - Emory University
Resource Type: Journal article
Publication Details: Journal of critical care, Vol.26(1), pp.105.e1-105.e9
Publisher: Elsevier Inc
DOI: 10.1016/j.jcrc.2010.06.013
PMID: 20813491
ISSN: 0883-9441
eISSN: 1557-8615
Grant note: 49533-LS-DRP; HR0011-05-1-0057 / DARPA 220020070 / James S. McDonnell Foundation
Language: English
Date published: 02/01/2011
Academic Unit: Anesthesia
Record Identifier: 9984656529802771

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