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A Modular Patient Simulator for Evaluation of Decision Support Algorithms in Mechanically Ventilated Patients

  • Conference paper
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XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016

Part of the book series: IFMBE Proceedings ((IFMBE,volume 57))

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Abstract

Mechanical ventilation is a life-saving intervention, which, despite being routinely used in ICUs, poses the risk of causing further damage to the lung tissue if the ventilator is set inappropriately. Medical decision support systems may help in optimizing ventilator settings according to therapy goals given by the clinician. Before using the decision support algorithms in commercially available systems, extensive tests are necessary to ensure patient safety and correct decision making. Model-based patient simulators can assist in evaluating such decision support systems by creating different clinical scenarios. We propose a new Java based patient simulator that implements various models of respiratory mechanics, gas exchange and cardiovascular dynamics to form a complex patient model. The implemented models interact with one another to allow simulation of the ventilators influence on various physiological processes. Model simulations are running in real-time and simulation results can be extracted via multiple interfaces. Each of the implemented models has been validated to exhibit physiologically correct behavior. Results of the combined model system also showed to be physiologically plausible.

The original version of this chapter was inadvertently published with an incorrect chapter pagination 697–702 and DOI 10.1007/978-3-319-32703-7_134. The page range and the DOI has been re-assigned. The correct page range is 703–708 and the DOI is 10.1007/978-3-319-32703-7_135. The erratum to this chapter is available at DOI: 10.1007/978-3-319-32703-7_260

An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-319-32703-7_260

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Authors and Affiliations

  1. Institute of Technical Medicine, Furtwangen University, Jakob-Kienzle-Str. 17, 78054, Villingen-Schwenningen, Germany

    Jörn Kretschmer, Patrick Stehle & Knut Möller

  2. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

    Thomas Lehmann

  3. Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand

    Daniel Redmond

Authors
  1. Jörn Kretschmer
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  2. Thomas Lehmann
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  3. Daniel Redmond
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  4. Patrick Stehle
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  5. Knut Möller
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Corresponding author

Correspondence to Jörn Kretschmer .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Frederick University, Nicosia, Cyprus

    Efthyvoulos Kyriacou

  2. Biomedical Research Foundation, Nicosia, Cyprus

    Stelios Christofides

  3. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

    Constantinos S. Pattichis

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© 2016 Springer International Publishing Switzerland

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Kretschmer, J., Lehmann, T., Redmond, D., Stehle, P., Möller, K. (2016). A Modular Patient Simulator for Evaluation of Decision Support Algorithms in Mechanically Ventilated Patients. In: Kyriacou, E., Christofides, S., Pattichis, C. (eds) XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. IFMBE Proceedings, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-32703-7_135

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  • DOI: https://doi.org/10.1007/978-3-319-32703-7_135

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32701-3

  • Online ISBN: 978-3-319-32703-7

  • eBook Packages: EngineeringEngineering (R0)

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