To read the full version of this content please select one of the options below:

Artificial intelligence for closed-loop ventilation therapy with hemodynamic control using the open lung concept

Anake Pomprapa (Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany)
Danita Muanghong (Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany)
Marcus Köny (Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany)
Steffen Leonhardt (Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany)
Philipp Pickerodt (Department of Anesthesiology and Intensive Care Medicine, Charité – University Medicine Berlin, Berlin, Germany)
Onno Tjarks (Department of Anesthesiology and Intensive Care Medicine, Charité – University Medicine Berlin, Berlin, Germany)
David Schwaiberger (Department of Anesthesiology and Intensive Care Medicine, Charité – University Medicine Berlin, Berlin, Germany)
Burkhard Lachmann (Department of Anesthesiology and Intensive Care Medicine, Charité – University Medicine Berlin, Berlin, Germany)

International Journal of Intelligent Computing and Cybernetics

ISSN: 1756-378X

Article publication date: 9 March 2015

Abstract

Purpose

The purpose of this paper is to develop an automatic control system for mechanical ventilation therapy based on the open lung concept (OLC) using artificial intelligence. In addition, mean arterial blood pressure (MAP) is stabilized by means of a decoupling controller with automated noradrenaline (NA) dosage to ensure adequate systemic perfusion during ventilation therapy for patients with acute respiratory distress syndrome (ARDS).

Design/methodology/approach

The aim is to develop an automatic control system for mechanical ventilation therapy based on the OLC using artificial intelligence. In addition, MAP is stabilized by means of a decoupling controller with automated NA dosage to ensure adequate systemic perfusion during ventilation therapy for patients with ARDS.

Findings

This innovative closed-loop mechanical ventilation system leads to a significant improvement in oxygenation, regulates end-tidal carbon dioxide for appropriate gas exchange and stabilizes MAP to guarantee proper systemic perfusion during the ventilation therapy.

Research limitations/implications

Currently, this automatic ventilation system based on the OLC can only be applied in animal trials; for clinical use, such a system generally requires a mechanical ventilator and sensors with medical approval for humans.

Practical implications

For implementation of a closed-loop ventilation system, reliable signals from the sensors are a prerequisite for successful application.

Originality/value

The experiment with porcine dynamics demonstrates the feasibility and usefulness of this automatic closed-loop ventilation therapy, with hemodynamic control for severe ARDS. Moreover, this pilot study validated a new algorithm for implementation of the OLC, whereby all control objectives are fulfilled during the ventilation therapy with adequate hemodynamic control of patients with ARDS.

Keywords

Acknowledgements

The authors are grateful to Pulsion Medical Systems AG for the use of their pulse oximeter during the animal experiment conducted at the Charité University Hospital Berlin.

Citation

Pomprapa, A., Muanghong, D., Köny, M., Leonhardt, S., Pickerodt, P., Tjarks, O., Schwaiberger, D. and Lachmann, B. (2015), "Artificial intelligence for closed-loop ventilation therapy with hemodynamic control using the open lung concept", International Journal of Intelligent Computing and Cybernetics, Vol. 8 No. 1, pp. 50-68. https://doi.org/10.1108/IJICC-05-2014-0025

Publisher

:

Emerald Group Publishing Limited

Copyright © 2015, Emerald Group Publishing Limited