Optical brain-computer interface system and method

The present application provides an optical brain-computer interface system and method, belonging to the field of biomedicine. The method comprises: an acquisition unit, on the basis of a preset interface, acquiring an optical neural signal from an optical acquisition device; a preprocessing unit preprocessing the optical neural signal, obtaining first neural image data; a registration unit performing parallel registration on the first neural image data in accordance with a preset first registration algorithm and a preset second registration algorithm, obtaining post-registration second neural image data; a decoding unit decoding the second neural image data according to a preset region of interest, obtaining neural activity representation data; and according to the neural activity representation data, a feedback unit obtaining a feedback control signal so as to perform closed-loop feedback. The present application uses an interface to directly obtain underlying optical neural signals via an optical acquisition device, performs steps such as real-time preprocessing, registration, and decoding, and uses neural activity representation data to obtain a feedback control signal so as to perform closed-loop feedback.

The abstract as published by the patent office, from US20260244270A1. It describes the invention; it is not a statement of what is protected.

• Signal acquisition

  Signal acquisition

• Signal processing

  Signal processing

• Decoding

  Neural decoding

• Stimulation

  Closed loop

What the filing appears to be about, read by published rules from its title, abstract and classification codes (A61B5/0059, G06F2203/011, G06F3/015, G06T2207/30004, G06T7/00). 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.

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.

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 4 times in 3 offices. Each publication opens in Espacenet.

• ChinaCN116382465A4 Jul 2023CN116382465B13 Feb 2024 · grant
• International (PCT)a route to several countries, not a countryWO2024168994A122 Aug 2024
• United StatesUS20260244270A120 Aug 2026

1. 17 Feb 2023First filingEarliest priority, at China. The family is counted in this year.
2. 28 Mar 2023ApplicationsFiled at International (PCT), United States.
3. 4 Jul 2023First publicationCN116382465A, China.
4. 13 Feb 2024Grant publishedCN116382465B, China.
5. 11 Feb 2026Office recordInternational (PCT), on WO2024168994A1: 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.

• Bibliographic data, family members and office records: European Patent Office, Open Patent Services (the DOCDB and INPADOC databases), read 11 Oct 2026.
• The record itself, with its claims and description: US20260244270A1 in Espacenet
• Counted as a BCI patent family: title or abstract names the field; classified G06F3/015 (input arrangements based on nervous-system activity); cites a family already accepted. How families are found and judged