Brain-computer interface multi-module data management method, system and program product

By using a multi-module integrated management platform for brain-computer interfaces, real-time synchronization of hardware status data and dynamic algorithm matching are achieved, solving the problems of low efficiency and poor flexibility in existing systems and improving data processing efficiency and adaptability.

CN122111663APending Publication Date: 2026-05-29BEIJING JI MASCH TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING JI MASCH TECH CO LTD
Filing Date
2026-02-09
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing brain-computer interface systems suffer from the inability to synchronize hardware status data to the business and algorithm layers on the software side in real time, resulting in low system operating efficiency. Furthermore, they lack adaptive rules and cannot automatically adjust device and algorithm parameters based on the number of device channels and scenario requirements, leading to poor system flexibility.

Method used

The system adopts a multi-module integrated management platform for brain-computer interfaces. Through the four-in-one linkage of data management module, device management module, business management module and scheduling module, it realizes real-time synchronization of hardware status data and supports rapid switching of multi-channel devices and cross-industry scenarios based on user scenario requirements dynamic matching algorithm.

Benefits of technology

It improves data processing efficiency, shortens business adaptation response time, enhances data processing flexibility, reduces adaptation costs, and supports rapid access for large-scale devices and adaptation across industry scenarios.

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Abstract

The application discloses a brain-computer interface multi-module data management method, system and program product, and the method comprises the following steps: a business management module matches and determines a target algorithm for processing multi-modal data based on the collection channel of a brain-computer interface wearable device and user scene requirements; a data management module processes the multi-modal data by using the target algorithm to obtain analysis results of the multi-modal data; and the business management module generates a corresponding requirement interface based on the analysis results of the multi-modal data and the user scene requirements. In the management method, the data interaction of different modules in the brain-computer interface multi-module integrated management platform enables the hardware state data of the brain-computer interface wearable device to be synchronously transmitted to the business layer and the algorithm layer on the software side in real time, so that the data processing efficiency of the brain-computer interface wearable device is improved; in addition, the data processing process of the brain-computer interface wearable device is close to the user requirements by setting the user scene requirements, so that the flexibility of data processing is improved.
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