基于虚拟现实与时间干涉神经调控的慢性疼痛缓解系统
By constructing an individual functional vulnerability quantification model and time-interventional neuromodulation, combined with dynamic adaptive virtual reality, multidimensional and precise targeted relief of chronic pain in the elderly was achieved. This solves the problems of poor adaptability and difficulty in maintaining efficacy of pain intervention in the elderly population in existing technologies, and improves the safety and long-term effects of intervention.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XUANWU HOSPITAL OF CAPITAL UNIV OF MEDICAL SCI
- Filing Date
- 2025-12-10
- Publication Date
- 2026-07-17
AI Technical Summary
Existing virtual reality-based pain intervention systems lack real-time analysis and closed-loop regulation of individual pain neurodynamic characteristics in the elderly population. They cannot effectively inhibit the ascending transmission of pain in the spinal cord-thalamus pathway, and traditional neuromodulation techniques cannot be precisely synchronized with cognitive-emotional events in virtual situations. As a result, the intensity and timing of intervention cannot match the significantly fluctuating pain rhythms and diurnal neural oscillation characteristics of the elderly.
We constructed a quantitative model of individual functional vulnerability, combined with time-interventional neuromodulation and dynamic adaptive virtual reality, and achieved millisecond-level time locking and closed-loop synchronous intervention through multidimensional physiological feedback and real-time rendering. This targeted the thalamus and anterior cingulate cortex, and combined multisensory stimulation and long-term effect evaluation to optimize the strategy.
It achieves multidimensional and precise targeted relief of chronic pain in the elderly, improves the safety, adaptability and long-term efficacy maintenance of the intervention, and significantly improves pain-related neural oscillations through individualized neuromodulation and synchronization with virtual scenarios.
Smart Images
Figure CN121687488B_ABST