Optimal flow adjustment of veno-venoarterial extracorporeal membrane oxygenation with an adaptive prediction model: cannula sizes screening and pump speeds estimation


Veno-venoarterial extracorporeal membrane oxygenation is an upgraded configuration that has well-oxygenated blood to the systemic and pulmonary circulations. Sufficient sized cannulas, gas exchange capability, and alternative equipment should be selected to fulfil the required extracorporeal supporting flow for temporary life support. So, an correct prediction model is employed to screen the optimal combinations of cannula sizes and verify adequate extracorporeal flow for gas exchange. Prediction models use a substitution-rate matrix to choose optimal mixtures underneath hemodynamic stability, and a generalised regression neural network to estimate the specified pump speed required to take care of sufficient flow. Experimental studies are used to validate the proposed model and recommend additional modifications in the bottom/reference for the intensive care unit.

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