TaVNS closed-loop regulation and control method for high-inflammation ARDS

Through dual-band aphrodisiac impedance analysis and lightweight inflammatory risk prediction model, the frequency and current intensity of taVNS are dynamically adjusted, solving the problem that the existing taVNS methods cannot adjust parameters according to the inflammatory state, and achieving efficient and safe treatment effects.

CN120586288APending Publication Date: 2025-09-05THE SECOND AFFILIATED HOSPITAL OF CHONGQING MEDICAL UNIV
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Patent Information

Application Number
CN202510982948.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-16
Publication Date
2025-09-05

AI Technical Summary

Technical Problem

Existing percutaneous vagus nerve stimulation (taVNS) methods cannot dynamically adjust stimulation parameters according to the patient's inflammatory status, resulting in poor treatment effects and may cause side effects.

Method used

Dual-frequency aphrodisiac impedance analysis technology is used to measure low-frequency and high-frequency impedance parameters, calculate the neuron activation index, and conduct real-time evaluation through a lightweight inflammatory risk prediction model, and dynamically adjust the frequency and current intensity with multiple decision-making methods to form closed-loop regulation.

Benefits of technology

Accurate regulation based on the inflammatory state is achieved, side effects are reduced, and treatment effect and patient comfort are improved.

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Abstract

The invention belongs to the technical field of taVNS parameter adjustment, and relates to a taVNS closed-loop regulation and control method for high-inflammation ARDS, and the method comprises the steps: obtaining a neuron activation index through employing a dual-frequency auricular conchae impedance analysis technology, inputting the time series data of the neuron activation index into an inflammation risk prediction model, obtaining an inflammation risk score, and achieving the quantitative evaluation of an inflammation state; in combination with a comparison result based on an inflammation risk score and a set threshold value, a corresponding frequency control parameter is dynamically output in a multi-decision mode, and the current intensity is adjusted in combination with a real-time neuron activation index, so that a stimulation parameter can be adjusted in real time along with the change of an inflammation state; after stimulation is applied, by monitoring the neuron activation index change rate and the heart rate variability high-power index, the stimulation frequency is corrected within the preset time, a closed loop of state perception, parameter adjustment and effect feedback to parameter correction is formed, it is ensured that the stimulation parameters are accurately matched with the inflammation state all the time, and the stimulation effect is improved. Therefore, the target of dynamically adjusting parameters according to the inflammation state is achieved.
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