Data-driven acupuncture neural discharge reconfiguration platform

The invention provides a data-driven acupuncture neural discharge reconfiguration platform. The platform comprises two parts which are an acupuncture experiment and an experiment data analysis part. Discharge sample data of an acupuncture neural pathway under the stimulation is collected through the acupuncture experiment, and the experiment data analysis part preprocesses the discharge sample data and estimates the optimal parameter of a GLM on the basis of the preprocessed discharge sample data. The rationality of the built model is verified according to the discharge moment and the peak-peak interval. Identical input signals are utilized for stimulating the built GLM, and reconfiguration is performed to obtain discharge data of the acupuncture experiment. The data-driven acupuncture neural discharge reconfiguration platform has the advantages that the GLM is applied to the field of acupuncture electric signal research, the single neural element model under the acupuncture neural pathway is built, and then