Machine vision based electrode implantation method and system

The present disclosure relates to a machine vision based electrode implantation method and system. The method includes: performing arithmetic processing on a first image captured by a first camera and a second image captured by a second camera for a brain surface, wherein, a vascular area mask of the brain surface is obtained to determine an implantable area in a brain surface image; selecting at least one implantation position in the implantable area, so as to determine an implantation sequence of the electrodes; matching the imaging of the first camera and the second camera to obtain a transformation matrix, and determining an intersection point based on the imaging of the first camera and the second camera as a predicted landing point of the an implantation apparatus.

The abstract as published by the patent office, from US20250380965A1. It describes the invention; it is not a statement of what is protected.

• Surgical access

  Insertion tools and robots

• Interface and electrodes

  Electrodes and arrays

What the filing appears to be about, read by published rules from its title, abstract and classification codes (A61B17/3403, A61B17/3468, A61B2017/00022, A61B2017/3409, A61B2090/371). The claims define what a patent protects, and they are not read here.

Surgical access

A probe soft enough for the brain to tolerate is too soft to push in by hand, and each route into the head has its own risk. The problem behind it: placing many contacts exactly, without injuring tissue or vessels, in an operation short and repeatable enough to offer widely.

Interface and electrodes

Everything downstream works with what the contacts pick up. Their number, size and distance from the neurons set the ceiling on the signal. The problem behind it: more contacts, closer to neurons, that still record after years in tissue that reacts to them.

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.

• ChinaCN115068082A20 Sep 2022CN115068082B4 Mar 2025 · grant
• International (PCT)a route to several countries, not a countryWO2023245708A128 Dec 2023
• United StatesUS20250380965A118 Dec 2025

1. 20 Jun 2022First filingEarliest priority, at China. The family is counted in this year.
2. 29 Jun 2022ApplicationsFiled at International (PCT), United States.
3. 20 Sep 2022First publicationCN115068082A, China.
4. 4 Mar 2025Grant publishedCN115068082B, China.
5. 8 Apr 2026Office recordInternational (PCT), on WO2023245708A1: ep: pct application non-entry in european phase.
6. 1 Sep 2026Owner recordedUnited States, on US20250380965A1: assignment; owner named: SHANGHAI STAIRMED TECHNOLOGY CO., LTD., CHINA.

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

StairMed · 46 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: US20250380965A1 in Espacenet
• Counted as a BCI patent family: classified A61B34 (surgical robots); filed by 上海阶梯医疗科技有限公司, 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