Program, manufacturing method, manufacturing device and connection method

To provide a program for generating a learned model capable of relatively highly accurately estimating an intention of a subject based on brain waves of the subject, manufacturing method, manufacturing device, and connection method.SOLUTION: Each of a plurality of teacher data used for generating a learned model for estimating an intention of a subject includes information relating to brain waves and is used for machine learning after consideration of at least a part of a plurality of parameters. A program causes a computer to execute the steps of: generating a plurality of learned models by executing machine learning on each of a plurality of combinations of the plurality of parameters; calculating sensitivity and specificity of each of the plurality of learned models; and displaying a plurality of mosaic graphs on a common screen. Each of the plurality of mosaic graphs represents information relating to sensitivity in at least a part of the plurality of combinations. Regarding the plurality of mosaics, degrees of specificity, the premise, are different from one another.SELECTED DRAWING: Figure 1

The abstract as published by the patent office, from JP7432197B1. It describes the invention; it is not a statement of what is protected.

• Decoding

  Neural decoding

What the filing appears to be about, read by published rules from its title, abstract and classification codes. The claims define what a patent protects, and they are not read here.

Decoding

This is the step that turns brain activity into a command or a word. Its accuracy and speed are what a user experiences. The problem behind it: accuracy that holds over months without frequent recalibration, for more than one user and one task.

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 1 time in 1 office. Each publication opens in Espacenet.

• JapanJP7432197B116 Feb 2024 · grant

1. 11 Oct 2022First filingEarliest priority, at Japan. The family is counted in this year.
2. 24 Oct 2023Office recordJapan, on JP7455315B1: notification of reasons for refusal.
3. 4 Dec 2023ApplicationFiled at Japan.
4. 16 Feb 2024First publicationJP7432197B1, Japan.
5. 16 Feb 2024Grant publishedJP7432197B1, Japan.
6. 8 Oct 2025Office recordInternational (PCT), on WO2024079961A1: ep: pct application non-entry in european phase.

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

JiMED · 3 families identified

• 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: JP7432197B1 in Espacenet
• Counted as a BCI patent family: uses the field's wording; classified A61B5/369 (electroencephalography); filed by 株式会社ＪｉＭＥＤ, an organisation already in the graph; describes neural hardware or methods without naming the field; cites a family already accepted. How families are found and judged