A method and device for processing brain electric fields

By determining the envelope of the brain's electric field distribution using a three-dimensional model and a guiding field matrix, and optimizing electrode configuration using a multi-task optimization network, the problem of insufficient prediction accuracy of two-dimensional models was solved, achieving comprehensive and accurate prediction of the brain's electric field distribution and effective electrical stimulation.

CN122123775APending Publication Date: 2026-06-02SOUTHERN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SOUTHERN UNIVERSITY OF SCIENCE AND TECHNOLOGY
Filing Date
2024-12-02
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing two-dimensional medical image models cannot accurately reflect brain structure, resulting in low accuracy in predicting electric field distribution.

Method used

The distribution of the brain's electric field is obtained by using a three-dimensional model. Electrodes are deployed on the three-dimensional model, and the envelope of the electric field distribution is determined by the guiding field matrix. The electrode configuration is optimized by combining a multi-task optimization network to achieve the convergence of electric field strength and electrical stimulation.

Benefits of technology

It enables comprehensive and accurate prediction of the brain's electric field distribution, improves the flexibility of electrode deployment and the effectiveness of electrical stimulation, and meets practical needs.

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Abstract

This application discloses a method and apparatus for processing brain electric fields. The method includes: acquiring a three-dimensional model of the brain; the three-dimensional model includes M voxels and brain region labels for each voxel in the M voxels; sequentially inputting current to each pair of electrodes in N pairs of electrodes deployed in the three-dimensional model; determining a guiding field matrix based on the conductivity corresponding to the brain region label of each voxel in the three-dimensional model; the guiding field matrix is ​​used to characterize the electric field distribution at each voxel location under stimulation by each pair of electrodes; and determining the envelope of the electric field distribution of the three-dimensional model based on the guiding field matrix. This method can determine the envelope of the electric field distribution of the three-dimensional brain model with high accuracy.
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