Article | Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017 | Towards Medical Cyber-Physical Systems: Modelica and FMI based Online Parameter Identification of the Cardiovascular System Linköping University Electronic Press Conference Proceedings
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Title:
Towards Medical Cyber-Physical Systems: Modelica and FMI based Online Parameter Identification of the Cardiovascular System
Author:
Jonas Gesenhues: Institute of Automatic Control, RWTH Aachen University, Germany Marc Hein: Department of Anesthesiology, RWTH Aachen University Hospital, Germany Maike Ketelhut: Institute of Automatic Control, RWTH Aachen University, Germany Thivaharan Albin: Institute of Automatic Control, RWTH Aachen University, Germany Dirk Abel: Institute of Automatic Control, RWTH Aachen University, Germany
DOI:
10.3384/ecp17132613
Download:
Full text (pdf)
Year:
2017
Conference:
Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017
Issue:
132
Article no.:
068
Pages:
613-621
No. of pages:
9
Publication type:
Abstract and Fulltext
Published:
2017-07-04
ISBN:
978-91-7685-575-1
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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This paper presents a concept for online parameter identification intended to be used within cardiovascular research labs and hospitals of the future featuring a data network of medical sensors. It is based on iterative nonlinear optimization using a moving horizon scheme and object-oriented Modelica models. Special FMUs have been developed to interface the optimization module and the sensor hardware. The concept is demonstrated on an exemplary application of identifying the parameters of a model for the systemic circulation. Unlike classical online parameter identification methods, this concept allows for quickly implementing changes of the underlying model.

Keywords: Online Parameter Identification, Moving Horizon, FMI, ModeliChart, JModelica.org, CasADi, Cardiovascular, Medical

Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017

Author:
Jonas Gesenhues, Marc Hein, Maike Ketelhut, Thivaharan Albin, Dirk Abel
Title:
Towards Medical Cyber-Physical Systems: Modelica and FMI based Online Parameter Identification of the Cardiovascular System
DOI:
http://dx.doi.org/10.3384/ecp17132613
References:

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Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017

Author:
Jonas Gesenhues, Marc Hein, Maike Ketelhut, Thivaharan Albin, Dirk Abel
Title:
Towards Medical Cyber-Physical Systems: Modelica and FMI based Online Parameter Identification of the Cardiovascular System
DOI:
https://doi.org10.3384/ecp17132613
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