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Oxyvent

Oxygen on demand in clinical ventilation

Fig. 1: Principle of the Oxyvent.

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Project description

If a person cannot independently breathe, it is necessary to support the ventilation of the patients using mechanical ventilators partly or fully. The automatic adaptation of ventilation parameters based on clinical conditions occurs always only in very much confine to given conditions without addressing the real physiological aim for the therapy.

Project goals

The automatic adaptation of ventilation parameters according to clinical conditions occurs always only in very much confine to given conditions without addressing the real physiological aim of the therapy. For this reason, the automatic therapy based on etCO2 and oxygen saturation (SaO2) is of interest.

Project partners

  • Weinmann GmbH & Co KG
  • bluepoint MEDICAL GmbH & Co KG
  • CiS Forschungsinstitut für Mikrosensorik und Photovoltaik GmbH
  • Elbau – Elektronik Bauelemente GmbH
  • TU Ilmenau, Center for Micro- and Nanotechnologies
  • iAQ Institut für Automatisierungstechnik und Qualitätssicherung e.V.

Veröffentlichungen

  • Pomprapa A., et al., "Optimal learning control of oxygen saturation using a policy iteration algorithm and a proof-of-concept in an interconnecting three-tank system"; Control Engineering Practice, 59, pp. 194-203. DOI: http://dx.doi.org/10.1016/j.conengprac.2016.07.014
  • Pomprapa A., et al., "Policy iteration algorithm for the control of oxygenation"; The 9th IFAC Symposium on Biological and Medical System, Berlin, 2015
  • omprapa A., et al., "Funnel control for oxygenation during artificial ventilation therapy"; The 19th IFAC World Congress, Cape Town, 2014
  • Pomprapa A., et al., "Closed-loop ventilation of oxygenation and end-tidal CO2"; IEEE SMC 2013, Manchester, 2013
  • Pomprapa A., et al., "Robust control of end-tidal CO2 using the H-infinity loop-shaping approach"; Acta Polytechnica, vol. 53, no. 6, pp. 895-900, 2013
  • Pomprapa A., et al., “L1 adaptive control of end-tidal CO2 by optimizing the muscular power for mechanically ventilated patients”; 9th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2013), Toulouse, 2013
  • Pomprapa A., et al., "Self-tuning adaptive control of the arterial oxygen saturation for automated ‘Open Lung’ maneuvers"; 3. Dresdner Medizintechnik-Symposium, Dresden, 2010