A method for optimizing neural electrical stimulation parameters and a neural stimulation system based on a modified intensity-time model.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SUZHOU RUIYI XULIAN MEDICAL TECHNOLOGY CO LTD
- Filing Date
- 2026-06-05
- Publication Date
- 2026-07-03
AI Technical Summary
Existing neurostimulators lack individualized adaptive optimization capabilities, which means they cannot automatically adjust parameters when there are changes or micro-displacements at the electrode-tissue interface. This can easily lead to understimulation or overstimulation, affecting therapeutic efficacy and patient comfort.
A neural electrical stimulation parameter optimization method based on a modified intensity-time model is adopted. By applying electrical stimulation with multiple preset pulse widths, the minimum domain stimulation intensity is collected, and individualized parameters Irh, Qth, and c are fitted. The stimulation current intensity and pulse width are adjusted in real time, and the k value is optimized by combining conduction velocity and fiber type to achieve closed-loop adaptive control.
It improves the fitting accuracy and calculation ease of stimulation parameters, reduces energy consumption, avoids understimulation or overstimulation, enhances therapeutic efficacy and patient comfort, and extends the battery life of implantable devices.
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