Man-machine asynchronous waveform recognition method in hybrid mechanical ventilation mode and related equipment

The invention discloses a man-machine asynchronous waveform identification method in a hybrid mechanical ventilation mode and related equipment, the method comprises the following steps: collecting mechanical ventilation waveforms including man-machine asynchronous in a constant pressure ventilation mode and a constant volume ventilation mode, the mechanical ventilation waveforms selecting three channels of airway pressure, flow and tidal volume; performing data segmentation, data annotation and data transformation on the mechanical ventilation waveform to obtain a respiratory cycle waveform; and constructing a phase space reconstruction-convolutional neural network model, and based on the phase space reconstruction-convolutional neural network model, according to the input respiratory cycle waveform, identifying the man-machine asynchronous phenomenon under the mixing of the constant pressure type ventilation mode and the constant volume type ventilation mode. The phase space reconstruction-convolutional neu