Document Detail


Intelligent model-based advisory system for the management of ventilated intensive care patients: Hybrid blood gas patient model.
MedLine Citation:
PMID:  19864039     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Arterial blood gas (ABG) analyses are essential for assessing the acid-base status and guiding the adjustment of mechanical ventilation in critically ill patients. Conventional ABG sampling requires repeated arterial punctures or the insertion of an arterial catheter causing pain, haemorrhage and thrombosis to the patients. Less invasive and non-invasive blood gas analysers, with a technology still in transition, have offered some promise in the recent years. SOPAVent (Simulation of Patients under Artificial Ventilation) is a five compartment blood gas model which captures the basic features of respiratory physiology and gas exchange in the human lungs. It uses ventilator settings and routinely monitored physiological parameters as inputs to produce steady-state estimates of the patient's ABG. This paper overviews the original SOPAVent model and presents an improved data-driven hybrid model that is patient-specific and gives continuous and totally non-invasive ABG predictions. The model has been comprehensively tested in simulations and validated using recorded measurements of ABG and ventilator parameters from ICU patients.
Authors:
A Wang; M Mahfouf; G H Mills; G Panoutsos; D A Linkens; K Goode; H F Kwok; M Denaï
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2009-10-27
Journal Detail:
Title:  Computer methods and programs in biomedicine     Volume:  99     ISSN:  1872-7565     ISO Abbreviation:  Comput Methods Programs Biomed     Publication Date:  2010 Aug 
Date Detail:
Created Date:  2010-07-08     Completed Date:  2010-10-28     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8506513     Medline TA:  Comput Methods Programs Biomed     Country:  Ireland    
Other Details:
Languages:  eng     Pagination:  195-207     Citation Subset:  IM    
Copyright Information:
2009 Elsevier Ireland Ltd. All rights reserved.
Affiliation:
Process Automation, ABB Limited, Eaton Socon, Cambridgeshire, UK. ang.wang@gb.abb.com
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MeSH Terms
Descriptor/Qualifier:
Adult
Blood Gas Analysis / methods*
Female
Humans
Intensive Care*
Male
Middle Aged
Models, Theoretical
Respiration, Artificial / methods*
Respiratory Insufficiency / blood*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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