Closed-loop visual stimulation system and method based on multi-modal synchronous sensing signal

By acquiring and processing multimodal data and adjusting the stimulation location and parameters using a decision model, the problems of inaccurate positioning and insufficient parameters in traditional electromagnetic stimulation schemes have been solved, achieving a more precise visual stimulation effect.

CN121731674APending Publication Date: 2026-03-27CAPITAL UNIVERSITY OF MEDICAL SCIENCES +1
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Patent Information

Application Number
CN202610031362.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-09
Publication Date
2026-03-27

AI Technical Summary

Technical Problem

Traditional electromagnetic stimulation methods suffer from insufficient spatial positioning accuracy and a lack of individualized adaptive adjustment of stimulation parameters, resulting in poor stimulation effects.

Method used

A closed-loop visual stimulation system based on multimodal synchronous sensing signals is adopted. By collecting multimodal data such as functional near-infrared spectroscopy data, electroencephalogram data and eye movement data, the system uses a processing module to extract, fuse and make decisions, and adjust the stimulation position and parameters to achieve precise stimulation signal output.

Benefits of technology

It improves the spatial positioning accuracy of stimuli and the ability to adapt to individual needs, thereby enhancing the precision and effectiveness of stimuli.

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Abstract

The embodiment of the invention discloses a closed-loop visual stimulation system and method based on a multi-modal synchronous sensing signal, and the method comprises the steps: collecting at least two types of multi-modal data, carrying out the processing and analysis of the multi-modal data, determining a stimulation position and a stimulation parameter, and outputting a stimulation signal according to the stimulation position and the stimulation parameter, the modal combination of the multi-modal data is determined according to the stimulation target, and the stimulation parameters comprise the stimulation amplitude and the stimulation frequency, so that the stimulation position and the stimulation parameters can be adjusted according to the multi-modal data, and the stimulation accuracy is improved.
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