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:
Jul. 11, 2023

Filed:

Apr. 24, 2020
Applicant:

Interaxon Inc., Toronto, CA;

Inventors:

Christopher Allen Aimone, Toronto, CA;

Graeme Moffat, Toronto, CA;

Hubert Jacob Banville, Toronto, CA;

Sean Wood, Toronto, CA;

Subash Padmanaban, Toronto, CA;

Sam Kerr, Toronto, CA;

Aravind Ravi, Toronto, CA;

Assignee:

INTERAXON INC., Toronto, CA;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/246 (2021.01); A61B 5/375 (2021.01); G16H 50/50 (2018.01); A61B 5/377 (2021.01); A61B 5/00 (2006.01);
U.S. Cl.
CPC ...
A61B 5/246 (2021.01); A61B 5/375 (2021.01); A61B 5/377 (2021.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); G16H 50/50 (2018.01);
Abstract

Brain modelling includes receiving time-coded bio-signal data associated with a user; receiving time-coded stimulus event data; projecting the time-coded bio-signal data into a lower dimensioned feature space; extracting features from the lower dimensioned feature space that correspond to time codes of the time-coded stimulus event data to identify a brain response; generating a training data set for the brain response using the features; training a brain model using the training set, the brain model unique to the user; generating a brain state prediction for the user output from the trained brain model, and automatically computing similarity metrics of the brain model as compared to other user data; and inputting the brain state prediction to a feedback model to determine a feedback stimulus for the user, wherein the feedback model is associated with a target brain state.


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