Online signal time phase detection method, time phase detection unit and closed-loop regulation and control system

The invention relates to the technical field of signal detection, and particularly discloses an online signal time phase detection method, a time phase detection unit and a closed-loop regulation and control system. The time phase detection method comprises the following steps of: operating a detection algorithm by using a plurality of detectors to detect an online signal in parallel so as to output a time phase detection result of the online signal; judging the time phase of the online signal based on each time phase detection result; wherein the time phase detection result of the online signal comprises an abnormal period and a normal period; the abnormal period comprises at least one of an amplitude abrupt change continuous abnormal period, an amplitude gradual change continuous abnormal period and an instantaneous abnormal period; the detection algorithm comprises at least one of a classification algorithm based on a minimum window and an early warning algorithm based on a zero crossing point coefficient. According to the invention, the accuracy of signal detection can be improved, and missing detection is prevented.

The abstract as published by the patent office, from EP4555933A1. It describes the invention; it is not a statement of what is protected.

• Signal processing

  Signal processing

• Stimulation

  Closed loop

What the filing appears to be about, read by published rules from its title, abstract and classification codes (A61B5/369, A61B5/7235, A61B5/7267). 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.

Stimulation

Restoring sensation, sight or movement needs information going in, and a therapy that adapts needs to sense and stimulate at once. The problem behind it: evoking a precise, stable effect without damaging tissue or electrodes, and without blinding the recording.

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

• ChinaCN115089196A23 Sep 2022CN115089196B11 Nov 2022 · grant
• International (PCT)a route to several countries, not a countryWO2024041038A129 Feb 2024
• European Patent Officea route to several countries, not a countryEP4555933A121 May 2025EP4555933A427 Aug 2025EP4555933B116 Sep 2026 · grant

1. 22 Aug 2022First filingEarliest priority, at China. The family is counted in this year.
2. 23 Sep 2022First publicationCN115089196A, China.
3. 11 Nov 2022Grant publishedCN115089196B, China.
4. 12 May 2023ApplicationsFiled at International (PCT), European Patent Office.
5. 2 Sep 2026Owner recordedEuropean Patent Office, on EP4555933A1: party data changed (applicant data changed or rights of an application transferred); owner named: NEURACLE TECHNOLOGY (SHANGHAI) CO., LTD..
6. 16 Sep 2026Grant publishedEP4555933B1, European Patent Office.

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

• 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: EP4555933A1 in Espacenet
• Counted as a BCI patent family: classified A61B5/369 (electroencephalography); filed by 博睿康科技（常州）股份有限公司, an organisation already in the graph. How families are found and judged