Method and system for dynamic stimulation parameter optimization in closed-loop neuromodulation systems
By using individualized stimulus-response prediction models and electrode channel impedance estimation, the electrical stimulation parameters of the neural modulation system are optimized, solving the problems of individual differences and changes in neural state, and improving the stability and adaptability of the system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- FANSKY CO LTD
- Filing Date
- 2026-03-31
- Publication Date
- 2026-07-17
AI Technical Summary
Existing closed-loop neural modulation systems struggle to achieve stable and safe adjustment of electrical stimulation parameters in the face of individual differences and dynamic changes in neural states, leading to unreliable response judgments and lagging control strategies.
By establishing an individualized stimulus-response prediction model, combined with electrode channel impedance estimation, the combination of stimulus parameters is optimized and adjusted in real time in practical applications to adapt to changes in neural state, including model retraining and parameter switching mechanisms.
It improves the stability and adaptability of the neural regulation system in complex environments, ensures the clarity and engineering feasibility of the control logic, and avoids problems such as slow parameter adjustment and unreliable response judgment.
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