Application of Iterative Learning Control for Repetitive Processes in Breathing Therapy

摘要

The continuous positive airway pressure (CPAP) therapy is the gold standard to treat the obstructive sleep apnoea syndrome. This continuous pressure splints the upper respiratory tracts and prevents a collapse of the pharynx. If not being treated a collapse of the upper respiratory tracts reduces the blood oxygen concentration and increases the CO2 concentration leading to repeated sleep disruptions. Many CPAP-devices cannot maintain the reference pressure, which can lead to an uncomfortable perception for the patient. To reduce the pressure deviation in the mask we want to apply the Iterative Learning Control (ILC) method, because the breathing of the patient is a repetitive process - and at night the breathing patterns are even and recurring from breath to breath.