Information processing system, method and equipment for regulating and controlling neural oscillation system, and medium

By constructing phase response curves and determining the topology of the neural oscillation system based on geometric characteristics, and matching corresponding electrical stimulation strategies, the adaptability and stability problems of neural oscillation system modulation in existing technologies are solved, and efficient neural oscillation system modulation is achieved.

CN122450313AActive Publication Date: 2026-07-24ZHEJIANG NEWROS MEDICAL TECH CO LTD
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Patent Information

Application Number
CN202610947665.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-06-29
Publication Date
2026-07-24
Estimated Expiration
2046-06-29

AI Technical Summary

Technical Problem

Existing technologies lack the ability to identify and differentiate different types of neural oscillation systems in the modulation of neural oscillation systems. This makes it difficult to achieve stable and smooth phase traction modulation using traditional single stimulation modes. Furthermore, the operation steps are cumbersome and prone to parameter setting deviations.

Method used

Phase response curves are constructed by applying test perturbations. The topology type of the neural oscillation system is determined based on the geometric characteristics of the curves, and corresponding phase traction or reset electrical stimulation strategies are matched to generate control signals for regulation.

Benefits of technology

It enables precise control of different types of neural oscillation systems, improves the adaptability and stability of the control, reduces operational deviations caused by human intervention, and ensures the stability and accuracy of the control process.

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Abstract

The invention discloses an information processing system, method and equipment for neural oscillation system regulation and control and a medium, relates to the fields of neural signal processing, brain-computer interface technology and closed-loop neural regulation and control, is applied to a computer device, and comprises a topology type determination module, an information processing module and a control module, the testing module is used for applying testing disturbance to a neural oscillation system of a subject to construct a phase response curve and determining a topology type according to geometrical characteristics of the phase response curve; the stimulation strategy determination module is used for selecting a phase traction electrical stimulation strategy if the topology type is a continuous response type, and selecting a phase reset electrical stimulation strategy if the topology type is a jump response type; and the stimulation output module is used for generating a control signal corresponding to the target strategy and outputting electrical stimulation to the neural oscillation system according to the control signal so as to regulate and control the neural oscillation system. According to the invention, a stimulation strategy can be adaptively matched according to the dynamic response characteristics of different neural oscillation systems, the suitability, the stability and the precision of phase regulation and control are improved, and the artificial parameter deviation is reduced.
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