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Diagnosing Patient State in Intensive Care Patients Using the Intelligent Ventilator (INVENT) System

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Artificial Intelligence in Medicine (AIME 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2101))

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Abstract

A method is presented to estimate parameters describing ICU patients’ ventilatory, circulatory, and metabolic state from simultaneous solution of models of O2 and CO2 transport. This method is shown to provide a consistent and reasonable picture of data from 5 ICU patients even without a pulmonary arterial catheter.

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References

  1. Rudowski R, East TD, Gardener RM. Current status of mechanical ventilation decision support systems: a review. Int. J. Clin. Monit. Comput. 1996; 13:157–166.

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  2. Rees S.E., Andreassen S, Freundlich M, et al. Selecting ventilator settings using INVENT, a system including physiological models and penalty functions. AIMDM’99 — Joint conference of European societies of Artificial Intelligance in Medicine and Medical Decision Making. Workshop, Computers in Anaesthesia and Intensive Care, 20–24th June 1999.

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  3. Kjærgaard S, Rees SE, Nielsen JA, et al. Modelling of hypoxaemia after gynaecological laparotomy. Acta Anaesthesiol. Scand. 2001; 45(3):349–3564.

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  4. Rees S E, Andreassen S, Hovorka R et al. A dynamic model of carbon dioxide transport in the blood. In: D. Linkens and E.R. Carson (Eds). Proceedings of the 3rd International Federation of Automatic Control (IFAC) symposium on Modelling and Control in Biomedical Systems, Elsevier (1997), 63–68.

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Author information

Authors and Affiliations

  1. Department of Medical Informatics and Image Analysis, Aalborg University, Denmark

    Stephen E. Rees & Steen Andreassen

  2. Department of Anaesthesia, Aalborg Hospital, Denmark

    Charlotte Allerød, Søren Kjærgaard & Per Thorgaard

  3. Department of Cardiology, Aalborg Hospital, Denmark

    Egon Toft

Authors
  1. Stephen E. Rees
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  2. Charlotte Allerød
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  3. Søren Kjærgaard
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  4. Egon Toft
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  5. Per Thorgaard
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  6. Steen Andreassen
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Pavia, Via Ferrata, 1, 27100, Pavia, Italy

    Silvana Quaglini

  2. Departamento de Informática Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2825-114, Caparica, Portugal

    Pedro Barahona

  3. Department of Medical Informatics and Image Analysis, Aalborg University, Fredrik Bajersv ej 7D, 9220, AlborgØst, Denmark

    Steen Andreassen

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© 2001 Springer-Verlag Berlin Heidelberg

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Rees, S.E., Allerød, C., Kjærgaard, S., Toft, E., Thorgaard, P., Andreassen, S. (2001). Diagnosing Patient State in Intensive Care Patients Using the Intelligent Ventilator (INVENT) System. In: Quaglini, S., Barahona, P., Andreassen, S. (eds) Artificial Intelligence in Medicine. AIME 2001. Lecture Notes in Computer Science(), vol 2101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48229-6_18

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  • DOI: https://doi.org/10.1007/3-540-48229-6_18

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42294-5

  • Online ISBN: 978-3-540-48229-1

  • eBook Packages: Springer Book Archive

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