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:
Jan. 02, 2024

Filed:

Mar. 09, 2021
Applicant:

Resmed Pty Ltd, Bella Vista, AU;

Inventors:

Timothy Tsun-Fai Fu, Sydney, AU;

Denis Butyletskiy, Sydney, AU;

Michiel Kooij, Sydney, AU;

Benjamin Peter Johnston, Sydney, AU;

Robert James Hudson, Sydney, AU;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); A61M 16/06 (2006.01); A61M 16/00 (2006.01); G16H 20/40 (2018.01); G16H 40/63 (2018.01); A61B 5/097 (2006.01); G06V 40/16 (2022.01); G06V 10/75 (2022.01); G16H 30/40 (2018.01); A61B 5/107 (2006.01); G16H 10/60 (2018.01); A61B 5/00 (2006.01);
U.S. Cl.
CPC ...
A61M 16/06 (2013.01); A61B 5/097 (2013.01); A61B 5/1077 (2013.01); A61B 5/1079 (2013.01); A61M 16/0051 (2013.01); A61M 16/021 (2017.08); G06V 10/7553 (2022.01); G06V 40/171 (2022.01); G16H 20/40 (2018.01); G16H 30/40 (2018.01); G16H 40/63 (2018.01); A61B 5/7264 (2013.01); A61M 2016/0661 (2013.01); A61M 2205/3306 (2013.01); A61M 2205/3553 (2013.01); A61M 2205/3584 (2013.01); A61M 2205/3592 (2013.01); A61M 2205/50 (2013.01); A61M 2205/505 (2013.01); A61M 2205/52 (2013.01); A61M 2205/6063 (2013.01); A61M 2205/6072 (2013.01); A61M 2230/00 (2013.01); G16H 10/60 (2018.01);
Abstract

Apparatus and methods automate selection of patient interface(s) according to their size, such as with processing in a processor(s) or in a server(s). Image data captured by an image sensor may be received. The captured image data may contain facial feature(s) of an intended user of the patient interface. The facial features may be captured in association with a predetermined reference feature of known dimension(s). The user's facial feature(s) and the reference feature may be detected in the captured image data. Image pixel data of the image may be processed to measure an aspect of the detected facial feature(s) based on the reference feature. A patient interface size may be detected from standard patient interface sizes based on a comparison between the measured aspect of the facial feature(s) and a data record relating sizing information of the standard patient interface sizes and the measured aspect of the facial feature(s).


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