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. 28, 2023

Filed:

Apr. 22, 2022
Applicant:

Novaresp Technologies Inc., Halifax, CA;

Inventors:

Hamed Hanafialamdari, Halifax, CA;

Scott Lowe, Cheshire, GB;

Stephen Driscoll, Halifax, CA;

Luke Hacquebard, Halifax, CA;

David Cecil Roach, Halifax, CA;

Klaus Michael Schmidt, Halifax, CA;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
A61M 16/00 (2006.01);
U.S. Cl.
CPC ...
A61M 16/026 (2017.08); A61M 16/0006 (2014.02); A61M 2016/0027 (2013.01); A61M 2016/0033 (2013.01); A61M 2205/6009 (2013.01); A61M 2230/04 (2013.01); A61M 2230/14 (2013.01); A61M 2230/202 (2013.01); A61M 2230/205 (2013.01); A61M 2230/46 (2013.01); A61M 2230/60 (2013.01);
Abstract

Devices, systems and methods are provided for controlling the operation of a breathing assistance device for a user. The controller may include an input for receiving sensor data to measure at least one airflow parameter of the user's airflow; a memory unit that stores at least one machine learning model and at least one classifier or predictor; and a processor that is configured to perform measurements and to generate a control signal for adjusting the operation of the breathing assistance device for a current monitoring time period by: obtaining measured air pressure and/or airflow data and measured FOT data during a current monitoring time period; performing feature extraction on the measured data to obtain feature values that are used by the machine learning model employed by the at least one classifier or predictor to determine a property of the user; and adjusting the control signal based on the determined property.


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