Hylke Salverda

32 Chapter 2 Adaptive Adaptive control is an element of an algorithmwhereby the behaviour of the controller changes while it is in use. The aim is to tailor the controller to the oxygenation system of the baby by including patient-specific parameters as input to the algorithm. The most apparent example is to change the magnitude of adjustments in response to a change in the severity of lung disease (estimated by baseline oxygen requirements). The basal oxygen requirement (baseFiO2) of a preterm infant almost always changes over time, as will the response of SpO2 to an FiO2 adjustment. Adding baseFiO2 to the algorithm will lead to an adaptation to the degree of lung disease. An example of the behaviour of such an algorithm is given in Figure 3. Figure 3: The possible effect and responses of an adaptive algorithm in two cases with a different baseFiO2 Oxygen saturation trend, baseFiO = 0.25 100 90 80 70 Time SpO Oxygen saturation trend, baseFiO = 0.40 100 90 80 70 Time SpO FiO – 0.03 FiO – 0.06 FiO + 0.04 FiO + 0.08 Do nothing Do nothing