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.

Abstract: The invention discloses a method for unified communication between multiple medical information systems. In accordance with the method of the invention, an isomerous gateway pool comprises multiple servers connected to the clients ports of various medical information systems via network ports. The network ports of a the gateway pool are connected to a network interface module and the information of various medical information systems is transformed by the servers via information analysis modules and information building modules into information conforming to an international electronic medical information standard. The information is then intercommunicated between various medical information systems.