Breathing machine man-machine asynchronous classification method, terminal and storage medium

The invention relates to a breathing machine man-machine asynchronous classification method and system, a terminal and a storage medium. The method comprises the steps: collecting multi-channel breathing data such as a simulated flow channel, a tidal volume channel, airway pressure, alveolar pressure, pleural cavity internal pressure, cardiac pressure and a current functional residual air volume channel under a man-machine asynchronous event simulated by a simulated lung and a breathing machine; performing variance, mean value, standard deviation, absolute value or square root feature extraction on the respiration data, generating sample data according to the extracted features, and training according to the sample data to obtain a man-machine asynchronous classification model; and classifying the breathing machine man-machine asynchronous events through the trained man-machine asynchronous classification model. According to the embodiment of the invention, the acquired respiration data is small in interferen