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

Burykin, Anton; Peck, Tyler; Krejci, Vladimir; Vannucci, Andrea; Kangrga, Ivan; Buchman, Timothy G (2010). Toward optimal display of physiologic status in critical care: I. Recreating bedside displays from archived physiologic data. Journal of critical care, 26(1), 105.e1-105.e9. New York, N.Y.: Elsevier 10.1016/j.jcrc.2010.06.013

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Intensive Care, Emergency Medicine and Anaesthesiology (DINA) > Clinic and Policlinic for Anaesthesiology and Pain Therapy

UniBE Contributor:

Krejci, Vladimir

ISSN:

0883-9441

Publisher:

Elsevier

Language:

English

Submitter:

Jeannie Wurz

Date Deposited:

04 Oct 2013 14:08

Last Modified:

23 Jan 2018 12:16

Publisher DOI:

10.1016/j.jcrc.2010.06.013

PubMed ID:

20813491

Web of Science ID:

000287465900022

URI:

https://boris.unibe.ch/id/eprint/552 (FactScience: 199724)

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