The study of intelligent control algorithm in CPAP ventilator

摘要

How to develop an intelligent ventilator and control it well to provide a better experience and treatment effect for respiratory patients is still a difficult task needed to be solved. The existing problems focus on the control algorithm and the mechanical structure. Dedicated to these two problems, the paper proposes a design of CPAP ventilator based on the ANN algorithm. Firstly, the paper introduces the design scheme of the overall hardware circuit, and detailedly narrates the working principle and operating mechanism of the ventilator. Secondly, the paper introduces the algorithm of the artificial neural network and its learning and training process in details, narrates the identification and matching mechanism of breathing waveform with the ANN breathing template, and proves its feasibility and advancement in theory. Finally, the paper tests the total property of the ventilator and compares it with the international mainstream ventilators. Test results show that the performance of the ventilator is stable and reliable, the running noise is low, the respiratory triggering is sensitive, and the output pressure is smooth and steady. The main technical parameters of the ventilator reach the international advanced level, and the ventilator system has the ability of autonomous learning. Combining with the development of the pressure release technology in the whole respiratory process, it offers the patients more comfortable breathing experience and better therapeutic effect.