公开(公告)号：US20220148721A1

公开(公告)日：2022-05-12

申请号：US17396800

申请日：2021-08-09

Applicant: University of Electronic Science and Technology of China

Inventor： Yi Zhang ,  Lifu Zhang ,  Guan Wang ,  Mingjun Xie ,  Ziwen Li ,  Denan Lin ,  Xiaohong Fan ,  Banghua Wu ,  Jipeng Fan ,  Lixin Pu ,  Mingjie He ,  Steven Su ,  Branko Celler ,  Peng Xu ,  Dezhong Yao

IPC: G16H40/63 ,  A61B5/00 ,  G06N5/04

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.