Automation of a portable extracorporeal circulatory support system with adaptive fuzzy controllers.

The presented work relates to the procedure followed for the automation of a portable extracorporeal circulatory support system. Such a device may help increase the chances of survival after suffering from cardiogenic shock outside the hospital, additionally a controller can provide of optimal organ perfusion, while reducing the workload of the operator. Animal experiments were carried out for the acquisition of haemodynamic behaviour of the body under extracorporeal circulation. A mathematical model was constructed based on the experimental data, including a cardiovascular model, gas exchange and the administration of medication. As the base of the controller fuzzy logic was used allowing the easy integration of knowledge from trained perfusionists, an adaptive mechanism was included to adapt to the patient's individual response. Initial simulations show the effectiveness of the controller and the improvements of perfusion after adaptation.

[1]  L. Sleeper,et al.  Trends in cardiogenic shock: report from the SHOCK Study. The SHould we emergently revascularize Occluded Coronaries for cardiogenic shocK? , 2001, European heart journal.

[2]  G. Gravlee,et al.  Cardiopulmonary Bypass: Principles and Practice , 2000 .

[3]  Stephen Yurkovich,et al.  Fuzzy Control , 1997 .

[4]  John W. Clark,et al.  A Closed-Loop Model of the Canine Cardiovascular System That Includes Ventricular Interaction , 2000, Comput. Biomed. Res..

[5]  Alois Knoll,et al.  AutoMedic: Fuzzy Control Development Platform for a Mobile Heart-Lung Machine , 2009 .

[6]  Sung-Hyuk Choi,et al.  Successful extracorporeal life support in cardiac arrest with recurrent ventricular fibrillation unresponsive to standard cardiopulmonary resuscitation. , 2007, Resuscitation.

[7]  A. Chao,et al.  Analysis and results of prolonged resuscitation in cardiac arrest patients rescued by extracorporeal membrane oxygenation. , 2003, Journal of the American College of Cardiology.

[8]  Gunnar Meyrowitz,et al.  Automatisierung der Herz-Lungen-Maschine , 2005 .

[9]  P. Mair,et al.  Percutaneous venoarterial extracorporeal membrane oxygenation for emergency mechanical circulatory support. , 1996, Resuscitation.

[10]  Myung Jin Chung,et al.  Stability analysis of a fuzzy logic controller for an uncertain dynamic system , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

[11]  N. Chi,et al.  Cardiopulmonary resuscitation with assisted extracorporeal life-support versus conventional cardiopulmonary resuscitation in adults with in-hospital cardiac arrest: an observational study and propensity analysis , 2008, The Lancet.

[12]  L. V. von Segesser,et al.  Superior flow for bridge to life with self-expanding venous cannulas. , 2009, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[13]  E Naujokat,et al.  Mathematical modelling of extracorporeal circulation: simulation of different perfusion regimens , 1999, Perfusion.

[14]  R. Bauernschmitt,et al.  Die Herz-Lungen-Maschine , 2008 .

[15]  Erich Wintermantel,et al.  Medizintechnik Life Science Engineering , 2008 .

[16]  Byung Kook Kim,et al.  Design and stability analysis of single-input fuzzy logic controller , 2000, IEEE Trans. Syst. Man Cybern. Part B.

[17]  U. Schreiber,et al.  First experience with a new portable cardiopulmonary bypass system - LIFEBRIDGE B2T with percutaneous femoral cannulation , 2008, 2008 Computers in Cardiology.

[18]  J. Clark,et al.  Using a Human Cardiopulmonary Model to Study and Predict Normal and Diseased Ventricular Mechanics, Septal Interaction, and Atrio-Ventricular Blood Flow Patterns , 2007, Cardiovascular engineering.

[19]  John W. Clark,et al.  Whole-Body Gas Exchange in Human Predicted by a Cardiopulmonary Model , 2003 .

[20]  Y. Hong,et al.  Extracorporeal life-support in patients requiring CPR , 2008, The Lancet.

[21]  Alois Knoll,et al.  Simulation of extracorporeal circulation for the design of a fuzzy controlled perfusion , 2010 .

[22]  Mauro Ursino,et al.  Interaction between carotid baroregulation and the pulsating heart: a mathematical model. , 1998, American journal of physiology. Heart and circulatory physiology.

[23]  Berno J. E. Misgeld,et al.  Robust and self-tuning blood flow control during extracorporeal circulation in the presence of system parameter uncertainties , 2005, Medical and Biological Engineering and Computing.

[24]  Alois Knoll,et al.  A comparative study on extra-corporal circulation control , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[25]  R. Lange,et al.  Lifebridge B2T—A New Portable Cardiopulmonary Bypass System , 2010, ASAIO journal.

[26]  G. Gravlee.  Comprar Cardiopulmonary Bypass 3/e (Principles and Practice ) | Glenn P Gravlee | 9780781768153 | Lippincott Williams & Wilkins , 2007 .

[27]  Han-Xiong Li.  Approximate model reference adaptive mechanism for nominal gain design of fuzzy control system , 1999, IEEE Trans. Syst. Man Cybern. Part B.

[28]  Alois Knoll,et al.  Application of adaptive fuzzy controllers for the automation of medical devices , 2012, 2012 IEEE International Conference on Fuzzy Systems.