| abstract |
The invention discloses a method and system for advance detection of movement state changes based on physiological signals. The method includes: S1, collecting three kinds of physiological signals; Gait parameters; S2, preprocessing the collected three physiological signals; S3, calculating characteristic parameters of the three preprocessed physiological signals; S4, synchronously observing the calculated characteristic parameters of the three physiological signals, and counting the three The sequence of the initial moments when the movement state detected by the physiological signal changes. Through multivariate data fusion analysis, the present invention is more conducive to extracting key information representing motion intention, and improves the discriminative performance of the system; meanwhile, it establishes the allowable time range for signal processing, identification and control instruction transmission, and can reduce the output control of the brain-computer interface system The time delay of the instruction is low, and the computational complexity is low. |