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 WO2024079961A1. It describes the invention; it is not a statement of what is protected.

• Signal acquisition

  Signal acquisition

• Decoding

  Neural decoding

What the filing appears to be about, read by published rules from its title, abstract and classification codes (A61B5/30, A61B5/372, G06F3/01). The claims define what a patent protects, and they are not read here.

Signal acquisition

Neural signals are microvolts. They have to be amplified and digitised on many channels at once, inside a power budget that must not warm the tissue. The problem behind it: low noise on hundreds or thousands of channels at milliwatts.

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 7 times in 2 offices. Each publication opens in Espacenet.

• JapanJP7389425B130 Nov 2023 · grantJP7455315B126 Mar 2024 · grantJP2024056275A23 Apr 2024JP2024056626A23 Apr 2024JP2024056674A23 Apr 2024JP2024061749A8 May 2024
• International (PCT)a route to several countries, not a countryWO2024079961A118 Apr 2024

1. 11 Oct 2022First filingEarliest priority, at Japan. The family is counted in this year.
2. 24 Jul 2023ApplicationFiled at International (PCT).
3. 20 Sep 2023ApplicationFiled at Japan.
4. 24 Oct 2023Office recordJapan, on JP7455315B1: notification of reasons for refusal.
5. 30 Nov 2023First publicationJP7389425B1, Japan.
6. 4 Dec 2023ApplicationFiled at Japan.
7. 4 Mar 2024ApplicationFiled at Japan.
8. 26 Mar 2024Grant publishedJP7455315B1, Japan.
9. 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: WO2024079961A1 in Espacenet
• Counted as a BCI patent family: uses the field's wording; classified A61B5/37 (analysis and use of electroencephalograms); 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