Synergistic control method based on consciousness disorder assessment monitoring and neurosynchronous stimulation
By combining eye-tracking monitoring and neuro-electrical stimulation in a coordinated control approach, stimulation parameters are adjusted in real time, solving the problem of accuracy in the assessment and treatment of consciousness disorders. This achieves efficient coordination of multi-dimensional data management and synchronous neural stimulation, improving treatment efficacy and the accuracy of data acquisition.
Patent Information
- Application Number
- CN202610396194.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-30
- Publication Date
- 2026-07-24
- Estimated Expiration
- 2046-03-30
AI Technical Summary
Current technologies lack objective data support for assessing consciousness disorders. Neurostimulation devices cannot achieve coordinated linkage between assessment and stimulation, making it difficult to dynamically adjust stimulation parameters according to the patient's state of consciousness. Furthermore, they lack the ability to integrate and manage multi-dimensional data, resulting in insufficient accuracy in assessment and treatment.
By combining the server-side management system with the eye-tracking monitoring and analysis system and the neural correlation electrical stimulator, eye-tracking signals are collected and analyzed in real time. The system uses a multi-source data fusion evaluation algorithm to output the consciousness state assessment results and adjusts the stimulation parameters based on closed-loop control to achieve coordinated control of synchronous neural stimulation.
It significantly improves the accuracy of consciousness disorder assessment and the therapeutic effect of synchronous neural stimulation. By bidirectionally activating neural pathways, it promotes the remodeling of consciousness networks, increases the probability of awakening and cognitive recovery, ensures the accuracy and stability of data collection, and adapts to complex clinical scenarios.