Optimal flow adjustment of veno-venoarterial extracorporeal membrane oxygenation with an adaptive prediction model: cannula sizes screening and pump speeds estimation PROJECT TITLE :Optimal flow adjustment of veno-venoarterial extracorporeal membrane oxygenation with an adaptive prediction model: cannula sizes screening and pump speeds estimationABSTRACT: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. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest A Graphene-Based THz Ring Resonator for Label-Free Sensing The IEEE Security and Privacy Symposium Workshops