End-call value detection method and system, storage medium and equipment

The invention belongs to the field of respiratory monitoring, and particularly relates to an end-call value detection method and system, a storage medium and equipment. The invention discloses an end-call value detection method. The method comprises the following steps: acquiring a respiration data set; marking a predicted end-expiratory value in the respiration data set; training a breathing model constructed by the gated convolution and the residual network by using the breathing data set to obtain a breathing model with an optimal network weight matrix; testing the respiration model with the optimal network weight matrix by using the respiration data set to obtain a test end-expiratory value; and if the difference between the test end-expiratory value and the predicted end-expiratory value is within a preset range, detecting real respiration by using the respiration model with the optimal network weight matrix to obtain an end-expiratory value of the real respiration. Therefore, according to the method, th