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:
Jun. 18, 2024

Filed:

May. 24, 2019
Applicant:

Health Tech Connex Inc., Surrey, CA;

Inventors:

Ryan Clarke Newell D'Arcy, Surrey, CA;

Xin Zhang, Surrey, CA;

Carlo Menon, Coquitlam, CA;

Zachary Frehlick, Surrey, CA;

Pamela Tannouri, Surrey, CA;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/374 (2021.01); A61B 5/00 (2006.01); A61B 5/11 (2006.01); A61B 5/291 (2021.01); G16H 50/30 (2018.01);
U.S. Cl.
CPC ...
A61B 5/374 (2021.01); A61B 5/291 (2021.01); A61B 5/725 (2013.01); A61B 5/7257 (2013.01); A61B 5/7264 (2013.01); G16H 50/30 (2018.01); A61B 5/1124 (2013.01); A61B 5/7203 (2013.01);
Abstract

A motor control score is automatically generated for a subject based on electroencephalography (EEG) data represented as a plurality of EEG waveforms obtained from a plurality of EEG electrodes. Each waveform is separated into at least one window, containing a portion of the EEG waveform representative of neural activity corresponding to a movement performed by the subject. At least one or more frequency components and/or signal components are determined from the EEG data in the window, and a motor control score is determined based on these components. The frequency components may correspond to event-related desynchronization (ERD) response frequency band and event-related synchronization (ERS) response frequency band. In other embodiments, the frequency components correspond to a phase response and the signal components correspond to a signal power spectrum density of the window, which are provided to a primary neural network model to determine the motor control score.


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