The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 15, 2022

Filed:

Dec. 22, 2017
Applicant:

Commissariat a L'energie Atomique ET Aux Energies Alternatives, Paris, FR;

Inventor:

Andriy Yelisyeyev, Grenoble, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/30 (2021.01); A61B 5/316 (2021.01); A61H 3/00 (2006.01); G05B 13/04 (2006.01); G06F 3/01 (2006.01); A61B 5/24 (2021.01); A61B 5/245 (2021.01); A61B 5/291 (2021.01); A61B 5/374 (2021.01);
U.S. Cl.
CPC ...
A61B 5/316 (2021.01); A61B 5/24 (2021.01); A61B 5/245 (2021.01); A61B 5/291 (2021.01); A61H 3/00 (2013.01); G05B 13/048 (2013.01); G06F 3/015 (2013.01); A61B 5/374 (2021.01); A61B 2560/0223 (2013.01); A61H 2230/105 (2013.01);
Abstract

The subject of the invention is a method for calibrating a direct neural interface. The calibration is performed by considering a so-called input calibration tensor, formed on the basis of measured electrophysiological signals and so-called output calibration tensor, formed on the basis of measured output signals. The method comprises the application of a least squares multivariate regression implemented by considering a covariance tensor and a cross-covariance tensor which are established on the basis of input and output calibration tensors corresponding to a current calibration period. The method takes into account covariance and cross-covariance tensors established during an earlier calibration period prior to the current calibration period, these tensors being weighted by a forget factor.


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Yelisyeyev, Andriy. (2022). Iterative process for calibrating a direct neural interface (U.S. Patent No. 11497429). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11497429

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