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Improving respiratory support for COVID-19 patients with self-learning assisted ventilation

Improving respiratory support for COVID-19 patients with self-learning assisted ventilation

As the pandemic continues to ravage the world, mechanical ventilators are vital for the survival of COVID-19 patients who cannot breathe on their own. One of the major challenges is tracking and controlling the pressure of the ventilators, to ensure patients get exactly the amount of air they need. Researchers at the Eindhoven University of Technology (TU/e) have developed a technique based on self-learning algorithms that improves the performance of the controller by a factor ten. The results were presented at IFAC2020, a major international conference on automatic control.