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Critical Reviews™ in Biomedical Engineering
SJR: 0.207 SNIP: 0.376 CiteScore™: 0.79

ISSN Imprimir: 0278-940X
ISSN En Línea: 1943-619X

Volumes:
Volumen 47, 2019 Volumen 46, 2018 Volumen 45, 2017 Volumen 44, 2016 Volumen 43, 2015 Volumen 42, 2014 Volumen 41, 2013 Volumen 40, 2012 Volumen 39, 2011 Volumen 38, 2010 Volumen 37, 2009 Volumen 36, 2008 Volumen 35, 2007 Volumen 34, 2006 Volumen 33, 2005 Volumen 32, 2004 Volumen 31, 2003 Volumen 30, 2002 Volumen 29, 2001 Volumen 28, 2000 Volumen 27, 1999 Volumen 26, 1998 Volumen 25, 1997 Volumen 24, 1996 Volumen 23, 1995

Critical Reviews™ in Biomedical Engineering

DOI: 10.1615/CritRevBiomedEng.v38.i2.40
pages 157-188

Classical Approaches and Intelligent Systems in Ventilation Management: A Survey

Aris Tzavaras
Department of Medical Instrumentation Technology, Technological Educational Institute (TEI) of Athens, Greece; and Centre for Health Informatics, City University London, UK
Peter Weller
City University, Medical Informatics, Centre for Health Informatics, City University, Northampton Square, London, UK

SINOPSIS

Ventilation management is the ongoing process of adjusting ventilator support according to patients’ needs. The present article is a review of the published work on the modeling of respiration physiology or the ventilation management process for supporting the critical task of ventilation. The focus of the survey is the application of soft computing − intelligent methods for the development of clinical decision support systems (CDSS). The necessity of CDSS in critical care and more specifically in ventilation management is discussed, and important characteristics are highlighted.


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