HUMAN-MACHINE ASYNCHRONOUS CLASSIFICATION METHOD AND SYSTEM FOR VENTILATOR, TERMINAL AND STORAGE MEDIUM

A human-machine asynchronous classification method and system for a ventilator, a terminal and a storage medium. The human-machine asynchronous classification method for a ventilator comprises: collecting multi-channel respiratory data such as simulated flow channels, tidal volume channels, airway pressure, alveolar pressure, pleural cavity internal pressure, cardiac pressure, and current functional residual air volume channels under human-machine asynchronous events simulated by a simulated lung and a ventilator; extracting variance, mean, standard deviation, absolute value or square root features of the respiratory data, generating sample data according to the extracted features, and obtaining a human-machine asynchronous classification model by training according to the sample data; and classifying a ventilator human-machine asynchronous event by means of the trained human-machine asynchronous classification model. Respiratory data collected by the present method has little interference and is easy to coll