The invention discloses a method for judging coupling strength between signals based on multi-channel neural signal analysis. The method comprises the following steps of: S1, selecting multi-channel electroencephalogram signals from an electroencephalogram database; S2, preprocessing two time sequences of the selected signals; S3, calculating edge probability distribution functions of the two time sequences and entropies of the two time sequences, and calculating a joint entropy based on a joint probability function; S4, calculating original sorting cross mutual information of the two time sequences; S5, calculating a substituted time sequence and a PCMI of the substituted time sequence; and S6, calculating a pure PCMI. By adoption of the method disclosed by the invention, the real connection strength of signals between different channels can be estimated, and the influence of signal artifacts generated by mutual interference of the signals between different channels on an evaluation result of the signal strength between the channels can be effectively reduced.
Method for judging coupling strength between signals based on multi-channel neural signal analysis