Deep brain stimulation regulation and control system based on adaptive feedback control

CN120789477APending Publication Date: 2025-10-17FUDAN UNIVERSITY
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Patent Information

Application Number
CN202410390810.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-04-02
Publication Date
2025-10-17

AI Technical Summary

Technical Problem

Existing deep brain stimulation treatment options lack local control technology, making it difficult to effectively suppress synchronization in brain diseases, especially for drug-resistant epilepsy, which may lead to side effects such as impaired speech function and memory loss.

Method used

A deep brain stimulation control system based on adaptive feedback control is designed. Through the construction of cluster coupling dynamics model, stability analysis of synchronous rhythm control and adaptive local feedback controller, precise control of local brain areas is achieved and synchronization phenomenon is suppressed.

Benefits of technology

It achieves effective treatment of brain diseases, reduces side effects on patients, and improves the safety and effectiveness of treatment.

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Abstract

The invention belongs to the technical field of power system control, and particularly relates to a deep brain stimulation regulation and control system based on adaptive feedback control. The system comprises a clustering coupling dynamic model building module which is used for building a system with two clusters of neurons based on a deep brain stimulation technology and building a clustering coupling dynamic model by using a Stuart-Landau oscillator equation; the synchronous rhythm regulation and control stability analysis module is used for analyzing a stable region of the average field feedback controller about control parameters through an implicit function theorem so as to realize stable regulation and control on the synchronous rhythm; a self-adaptive local feedback controller is designed through a gradient descent method to construct a module, and a kinetic equation satisfied by the controller is obtained. The constructed adaptive local feedback controller is verified in a general neuron model, which shows that deep brain stimulation can be effectively regulated and controlled, and the synchronization phenomenon of the whole coupling system is successfully inhibited for different neuron models.
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