Abstract: An analysis method for the causal inference of human physiological network in multiscale time series signals includes the following steps: S1: decomposing physiological signals u1, u2, . . . , um to be analyzed by using a noise-assisted multivariate empirical mode decomposition (NA-MEND) algorithm; S2: carrying out a causal analysis between two different physiological signals ui, uj, where i=1, 2, . . . , m, j=1, 2, . . . , m, and i?j, to obtain a causality between the two signals; and S3: repeating step S2 for any two signals in u1, u2, . . . , um until a causality between each two signals in u1, u2, . . . , um is obtained to form the causal network. The present invention can effectively analyze the causal network of the physiological signals, thereby facilitating the application of the physiological signals.