On the practical identifiability of a two-parameter model of pulmonary gas exchange

Biomedical Engineering Online
Axel RiedlingerK Möller

Abstract

Successful application of mechanical ventilation as a life-saving therapy implies appropriate ventilator settings. Decision making is based on clinicians' knowledge, but can be enhanced by mathematical models that determine the individual patient state by calculating parameters that are not directly measurable. Evaluation of models may support the clinician to reach a defined treatment goal. Bedside applicability of mathematical models for decision support requires a robust identification of the model parameters with a minimum of measuring effort. The influence of appropriate data selection on the identification of a two-parameter model of pulmonary gas exchange was analyzed. The model considers a shunt as well as ventilation-perfusion-mismatch to simulate a variety of pathologic pulmonary gas exchange states, i.e. different severities of pulmonary impairment. Synthetic patient data were generated by model simulation. To incorporate more realistic effects of measurement errors, the simulated data were corrupted with additive noise. In addition, real patient data retrieved from a patient data management system were used retrospectively to confirm the obtained findings. The model was identified to a wide range of different FiO 2 ...Continue Reading

References

Jul 1, 1973·British Journal of Anaesthesia·S R BenatarJ F Nunn
Jul 1, 1966·Journal of Applied Physiology·G R Kelman
Feb 16, 1967·The New England Journal of Medicine·G NashH Pontoppidan
Apr 15, 1982·The New England Journal of Medicine·J E Rinaldo, R M Rogers
May 1, 1994·British Journal of Anaesthesia·A J PetrosJ F Nunn
Oct 1, 1996·Computer Methods and Programs in Biomedicine·S AndreassenP T Andersen
Feb 3, 1999·The American Journal of Emergency Medicine·J E Sinex
Dec 1, 1999·Critical Care Medicine·S AndreassenE Toft
Feb 24, 2001·Acta Anaesthesiologica Scandinavica·S KjaergaardS Andreassen
Apr 5, 2002·Medicine and Science in Sports and Exercise·Habib BenallalThierry Busso
Aug 14, 2002·British Journal of Anaesthesia·J P WhiteleyC E W Hahn
Dec 28, 2002·Anesthesiology·Lennart EdmarkGöran Hedenstierna
Jun 18, 2003·Respiratory Physiology & Neurobiology·J P WhiteleyC E W Hahn
Jun 25, 2003·British Journal of Anaesthesia·C E W Hahn, A D Farmery
Jul 19, 2005·Respiratory Physiology & Neurobiology·Jack A LoeppkyMarcos F Vidal Melo
Jan 2, 2007·Current Opinion in Critical Care·William A Altemeier, Scott E Sinclair
Nov 9, 2007·Critical Care : the Official Journal of the Critical Care Forum·Dan S KarbingStephen E Rees
Jun 1, 1949·Journal of Applied Physiology·R L RILEY, A COURNAND
Jul 1, 2008·Indian Journal of Critical Care Medicine : Peer-reviewed, Official Publication of Indian Society of Critical Care Medicine·Azim Honarmand, Mohammadreza Safavi
Nov 6, 2010·Medical Engineering & Physics·Dan S KarbingStephen E Rees
Sep 2, 2011·IEEE Transactions on Bio-medical Engineering·C SchranzK Möller
Feb 23, 2013·Journal of Clinical Monitoring and Computing·Lars P ThomsenStephen E Rees
Sep 18, 2013·Biomedizinische Technik. Biomedical Engineering·A RiedlingerK Möller
Jan 5, 2014·Respirology : Official Journal of the Asian Pacific Society of Respirology·Anthony L ByrnePaul S Thomas

❮ Previous
Next ❯

Citations

Nov 14, 2018·Biomedical Engineering Online·Vincent J MajorJ Geoffrey Chase

❮ Previous
Next ❯

Software Mentioned

Latter
MATLAB
fminsearchbnd
MDSS
MIGET
mathop

Related Concepts

Related Feeds

Autoimmune Polyendocrine Syndromes

This feed focuses on a rare genetic condition called Autoimmune Polyendocrine Syndromes, which are characterized by autoantibodies against multiple endocrine organs. This can lead to Type I Diabetes.

Related Papers

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
S LozanoJ Guttmann
Journal of Clinical Monitoring and Computing
Stephen E ReesSteen Andreassen
© 2021 Meta ULC. All rights reserved