Brain network construction method based on task-related electroencephalogram activation level, and display device

The present invention relates to the technical field of electroencephalogram, in particular to a brain network construction method based on a task-related electroencephalogram activation level, and a display device. The brain network construction method comprises: acquiring a verification matrix on the basis of task-related electroencephalogram activation levels of channels; converting the verification matrix into a spatial matrix conforming to the physical distribution of the channels; and acquiring an edge connection matrix for associating the channels, i.e., in the spatial matrix, weighting association coefficients and physical distances of the channels. Without the application of electric stimulation, the present invention obtains the degrees of strength of connections between brain tissue nodes by means of examining the task-related electroencephalogram activation level of brain tissue to be subjected to function testing throughout an entire task time course, and combines the degrees with the physical locations of the nodes, so as to implement comprehensive and objective visualization of distribution and association conditions of functional areas of the brain, thereby being conducive to assisting a doctor in accurately judging the relationship between a lesion and functional areas of the brain.

The abstract as published by the patent office, from WO2025201406A1. It describes the invention; it is not a statement of what is protected.

• Signal processing

  Signal processing

What the filing appears to be about, read by published rules from its title, abstract and classification codes (A61B5/369, A61B5/6868, A61B5/7267, G06F17/11, G06F17/16). The claims define what a patent protects, and they are not read here.

Signal processing

A decoder is only as good as the features it is given, and recordings drift and pick up noise from movement, muscle and stimulation. The problem behind it: stable features from signals that change from day to day, computed fast enough to act on.

Why the layer matters to the field, not a judgement of this filing. A patent family shows that protection was sought. It does not show that the technology was built, is used in a product, or works in people. The whole stack

One invention, published 3 times in 2 offices. Each publication opens in Espacenet.

• ChinaCN117952195A30 Apr 2024CN117952195B21 Jun 2024 · grant
• International (PCT)a route to several countries, not a countryWO2025201406A12 Oct 2025

1. 26 Mar 2024First filingEarliest priority, at China. The family is counted in this year.
2. 30 Apr 2024First publicationCN117952195A, China.
3. 21 Jun 2024Grant publishedCN117952195B, China.
4. 26 Mar 2025ApplicationFiled at International (PCT).

Dates as the offices published them. Office records are in the offices' own words and are a selection: refusals, lapses and withdrawals, and records that name an owner. Each concerns one member of the family, not the family as a whole, and another member in the same office may stand. Whether a patent is in force today is not assessed.

Organisation

Neuracle · 82 families identified

Technology

EEG

• Bibliographic data, family members and office records: European Patent Office, Open Patent Services (the DOCDB and INPADOC databases), read 7 Oct 2026.
• The record itself, with its claims and description: WO2025201406A1 in Espacenet
• Counted as a BCI patent family: classified A61B5/369 (electroencephalography); filed by 博睿康医疗科技（上海）有限公司, an organisation already in the graph; describes neural hardware or methods without naming the field. How families are found and judged