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:
Mar. 11, 2025

Filed:

Sep. 03, 2020
Applicant:

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

Inventors:

Alexandre Moly, Grenoble, FR;

Tetiana Aksenova, Grenoble, FR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); A61B 5/30 (2021.01); A61B 5/316 (2021.01); G06F 3/01 (2006.01); G06F 18/20 (2023.01); G06F 18/2113 (2023.01); G06F 18/214 (2023.01); G06N 7/01 (2023.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
G06F 3/015 (2013.01); A61B 5/30 (2021.01); A61B 5/316 (2021.01); G06F 18/2113 (2023.01); G06F 18/214 (2023.01); G06F 18/295 (2023.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01);
Abstract

This invention relates to a method of calibrating a direct neural interface with continuous coding. The observation variable is modelled by an HMM model and the control variable is estimated by means of a Markov mixture of experts, each expert being associated with a state of the model. During each calibration phase, the predictive model of each of the experts is trained on a sub-sequence of observation instants corresponding to the state with which it is associated, using an REW-NPLS (Recursive Exponentially Weighted N-way Partial Least Squares) regression model. A second predictive model giving the probability of occupancy of each state of the HMM model is also trained during each calibration phase using an REW-NPLS regression method. This second predictive model is used to calculate Markov mixture coefficients during a later operational prediction phase.


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Moly, Alexandre. (2025). Iterative calibration method for a direct neural interface using a markov mixture of experts with multivariate regression (U.S. Patent No. 12248628). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12248628

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