Abstract
Mathematical physiological models can be applied in medical decision support systems. To do so requires consideration of the necessary model complexity. Models that simulate changes in the individual patient are required, meaning that models should have a complexity where parameters can be uniquely identified at the bedside from clinical data and where the models adequately represent the individual patient’s (patho)physiology. This paper describes the models included in a system for providing decision support for mechanical ventilation. Models of pulmonary gas exchange, respiratory mechanics, acid-base, and respiratory control are described. The parameters of these models are presented along with the necessary clinical data required for their estimation and the parameter estimation process. In doing so, the paper highlights the need for simple, minimal models for application at the bedside, directed toward well-defined clinical problems.
Conflict of interest statement: S.E. Rees and D.S. Karbing are minor shareholders and have performed consultancy work for Mermaid Care A/S who manufacture the Beacon Caresystem. S.E. Rees is a member of the board at Mermaid Care A/S.
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©2017 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Editorial
- Smart life support reloaded: design and control of complex therapeutic devices
- Special Issue Articles
- Benefits of object-oriented models and ModeliChart: modern tools and methods for the interdisciplinary research on smart biomedical technology
- Parametrization of an in-silico circulatory simulation by clinical datasets – towards prediction of ventricular function following assist device implantation
- Design of a right ventricular mock circulation loop as a test bench for right ventricular assist devices
- A mock heart engineered with helical aramid fibers for in vitro cardiovascular device testing
- Comparison of novel physiological load-adaptive control strategies for ventricular assist devices
- High-frequency operation of a pulsatile VAD – a simulation study
- Convolutive blind source separation of surface EMG measurements of the respiratory muscles
- Determining the appropriate model complexity for patient-specific advice on mechanical ventilation
- Physiological closed-loop control of mechanical ventilation and extracorporeal membrane oxygenation
- Decentralized safety concept for closed-loop controlled intensive care
- Model-based glycaemic control: methodology and initial results from neonatal intensive care
Artikel in diesem Heft
- Frontmatter
- Editorial
- Smart life support reloaded: design and control of complex therapeutic devices
- Special Issue Articles
- Benefits of object-oriented models and ModeliChart: modern tools and methods for the interdisciplinary research on smart biomedical technology
- Parametrization of an in-silico circulatory simulation by clinical datasets – towards prediction of ventricular function following assist device implantation
- Design of a right ventricular mock circulation loop as a test bench for right ventricular assist devices
- A mock heart engineered with helical aramid fibers for in vitro cardiovascular device testing
- Comparison of novel physiological load-adaptive control strategies for ventricular assist devices
- High-frequency operation of a pulsatile VAD – a simulation study
- Convolutive blind source separation of surface EMG measurements of the respiratory muscles
- Determining the appropriate model complexity for patient-specific advice on mechanical ventilation
- Physiological closed-loop control of mechanical ventilation and extracorporeal membrane oxygenation
- Decentralized safety concept for closed-loop controlled intensive care
- Model-based glycaemic control: methodology and initial results from neonatal intensive care