IMPROVING THE CLINICAL APPLICABILITY OF PATHOPHYSIOLOGICAL MODELLING OF HYPOXAEMIA USING ROBUSTNESS ANALYSIS
Lead Research Organisation:
University of Nottingham
Department Name: Div of Anaesthesia and Intensive Care
Abstract
The proposed research collaboration will explore the use of robustness analysis methods from advanced control theory for the development, validation and improvement of physiological simulation models. In particular, the applicants will focus on the development of improved models for understanding and managing hypoxaemia and apnoea, which can be validated across representative patient populations, thus significantly enhancing their clinical applicability.
Organisations
People |
ORCID iD |
| Jonathan Hardman (Principal Investigator) |
Publications
Das A
(2010)
A systems engineering approach to validation of a pulmonary physiology simulator for clinical applications
in Journal of The Royal Society Interface
Daudre-Vignier C
(2021)
Identification of an optimal CPR chest compression protocol.
in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Haque M
(2019)
Primary blast lung injury simulator: a new computerised model
in Journal of the Royal Army Medical Corps
Laviola M
(2019)
Computer simulation clarifies mechanisms of carbon dioxide clearance during apnoea.
in British journal of anaesthesia
Mistry S
(2022)
Pre-hospital continuous positive airway pressure after blast lung injury and hypovolaemic shock: a modelling study
in British Journal of Anaesthesia
Scott TE
(2019)
Efficacy of continuous positive airway pressure in casualties suffering from primary blast lung injury: A modeling study.
in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference