Data-driven acupuncture neural discharge reconfiguration platform

Abstract

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 an acupuncture experiment discharge sequence is reconfigured. The data-driven acupuncture neural discharge reconfiguration platform has the certain real authenticity and reliability. Under the drive of the experiment data, the problem that input information is difficult to quantify can be effectively avoided, input signals together with model intrinsic parameters are estimated, and then reconstruction is performed to obtain the experiment discharge sequence.

Description

technical field [0001] The invention relates to biomedical engineering technology, in particular to a data-driven acupuncture nerve discharge reconstruction platform. Background technique [0002] As an important part of traditional Chinese medicine, acupuncture and moxibustion have remarkable clinical effects. However, the mechanism of action of acupuncture is still unclear. Nerve electrical signal is the key signal for acupuncture to exert its effect, and the relationship between neuron firing activity and stimulation is the focus of neurophysiological research. However, the types of acupuncture manipulations are complex, and it is difficult to quantify the stimulation signals that acupuncture acts on the skin. Therefore, it is of great significance to establish an effective neuron model under the acupuncture neural pathway to explain the relationship between acupuncture input and output. [0003] At present, there are two main types of neuron models, namely electrophys...

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Problems solved by technology

[0005] To sum up, there are still the following deficiencies in the study of acupuncture nerve electrical signals: the existing technology has no effective method to solve the problem of acupuncture input quantification; simply using matlab to realize the simulation of electrophysiological models or phenomenological models cannot Effectively simulate the neurons under the acupuncture pathway; most studies only conduct simulations around the neuron model, without rigorous acupuncture experiment design, it is impossible to establish a neuron model under real experimental data, and further predict and analyze the neuron coding mechanism

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