SCORING METHOD BASED ON IMPROVED SIGNALS ANALYSIS

Patent №

US 11,116,437

Granted

2021-09-14

Filed 2017

Owner

MENSIA TECHNOLOGIES

Lab

AI components

2

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15526351

Disclosed is a method for scoring in real time neural signals of a subject with respect to a reference state characterized by k=1 . . . K reference covariance matrices, the method including the following steps: (i) obtaining neural signals from the subject; (ii) computing a covariance matrix of the neural signals; (iii) computing the Riemannian distances between the covariance matrix and k=1 . . . K reference covariance matrices; (iv) computing a continuous score s in real time based on at least one of the distances computed in step (iii). Also disclosed is a system and method for self-paced modulation or external modulation of neural activity of a subject.

Machine learningAI hardwareA61B 5/7264A61B 5/0042A61B 5/0075A61B 5/165A61B 5/245A61B 5/374A61B 5/375A61B 5/4082+5 more

AI classification

Machine learning1.00
AI hardware1.00
Planning0.09
Vision0.06
Speech0.00
Knowledge representation0.00
Evolutionary computation0.00
Natural language0.00

Ownership

MENSIA TECHNOLOGIES

assignment · 433400897

Assignors

BARTHELEMY, QUENTIN, MAYAUD, LOUIS

On an employer assignment, the assignors are typically the inventors.

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