Mask sizing tool using a mobile application

Patent metadata

Field	Value
Publication number	US-10980957-B2
Application number	US-201615578440-A
Country	US
Kind code	B2
Filing date	Jun 30, 2016
Priority date	Jun 30, 2015
Publication date	Apr 20, 2021
Grant date	Apr 20, 2021

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).

First claim

The invention claimed is:

1. An automated method for selecting a patient interface according to patient interface size comprising, in one or more processors:
receiving image data captured by an image sensor, the captured image data containing one or more facial features of an intended user of the patient interface in association with a predetermined reference feature, wherein the predetermined reference feature is a cornea or iris of the user;
detecting one or more facial features of the user in the captured image data;
detecting the cornea or iris of the user in the captured image data;
processing image pixel data of the captured image data to measure an aspect of the one or more facial features detected in the captured image data based on image pixel data associated with the cornea or iris of the user and a known dimension associated with the cornea or iris of the user; and
selecting a patient interface size from a group of standard patient interface sizes based on a comparison between the measured aspect of the one or more facial features and a data record relating sizing information of the group of standard patient interface sizes and the measured aspect of the one or more facial features.

2. The method of claim 1 wherein the aspect of the one or more facial features comprises a distance between a sellion and supramenton of the user.

3. The method of claim 1 wherein the processing comprises calculating a value of the measured aspect based on a scaling factor derived from the image pixel data associated with the cornea or iris of the user and the known dimension associated with the cornea or iris of the user.

4. The method of claim 1 further comprising adjusting a value of the measured aspect with an anthropometric correction factor.

5. The method of claim 4 wherein the anthropometric correction factor is calculated based on patient interface return data.

6. The method of claim 3 , further comprising calculating, in the one or more processors, the scaling factor as a function of the known dimension associated with the cornea or iris of the user and a detected pixel count for the detected cornea or iris of the user.

7. The method of claim 1 further comprising, for image capture, displaying the reference feature on a display interface of a display device coupled with the image sensor.

8. The method of claim 7 , wherein the display interface includes a targeting guide and a live action preview of content detected by the image sensor, the content including the reference feature as displayed on the display interface.

9. The method of claim 8 , further comprising, in the one or more processors, controlling capturing of the image data to satisfy at least one alignment condition.

10. The method of claim 9 , wherein the at least one alignment condition comprises detection of positioning of the reference feature of the live action preview within a box of the targeting guide.

11. The method of claim 9 , wherein the at least one alignment condition includes detection of a tilt condition being within about +/−10 degrees of a superior-inferior extending axis.

12. The method of claim 9 , wherein the at least one alignment condition includes detection of a tilt condition being within about +/−5 degrees of a superior-inferior extending axis.

13. The method of claim 11 , wherein detection of a tilt condition is performed by reading an inertial measurement unit (IMU).

14. The method of claim 1 wherein the patient interface comprises a mask or nasal mask.

15. The method of claim 1 wherein the processing image pixel data comprises counting pixels.

16. The method of claim 1 further comprising generating an automated electronic offer for a patient interface for purchase based on the selected patient interface size.

17. The method of claim 1 , further comprising calculating an average of the measured aspect of the facial feature from a plurality of captured images of the one or more facial features.

18. A system for automatically recommending a patient interface size complementary to a particular patient's facial features comprising:
one or more servers, the one or more servers configured to communicate with a computing device over a network, the one or more servers further configured to:
receive image data captured by an image sensor, the captured image data containing one or more facial features of an intended user of the patient interface in association with a predetermined reference feature, wherein the predetermined reference feature is a cornea or iris of the user;
detect one or more facial features of the user in the captured image data;
detect the cornea or iris of the user in the captured image data;
process image pixel data of the captured image data to measure an aspect of the one or more facial features detected in the captured image data based on image pixel data associated with the cornea or iris of the user and a known dimension associated with the cornea or iris of the user; and
select a patient interface size from a group of standard patient interface sizes based on a comparison between the measured aspect of the one or more facial features and a data record relating sizing information of the group of standard patient interface sizes and the measured aspect of the one or more facial features.

19. The system of claim 18 wherein the aspect of the one or more facial features comprises a distance between a sellion and supramenton of the user.

20. The system of claim 18 wherein the one or more servers is configured to calculate a value of the measured aspect based on a scaling factor derived from the image pixel data associated with the cornea or iris of the user and the known dimension associated with the cornea or iris of the user.

21. The system of claim 18 wherein the one or more servers is further configured to adjust a value of the measured aspect with an anthropometric correction factor.

22. The system of claim 21 wherein the anthropometric correction factor is calculated based on patient interface return data.

23. The system of claim 20 , wherein the one or more servers is further configured to calculate the scaling factor as a function of the known dimension associated with the cornea or iris of the user and a detected pixel count for the detected cornea or iris of the user.

24. The system of claim 18 further comprising the computing device, wherein the computing device is configured to, for image capture, generate a display of the reference feature on a display interface of a display device that is coupled with the image sensor.

25. The system of claim 24 , wherein the display interface includes a targeting guide and a live action preview of content detected by the image sensor, the content including the reference feature as displayed on the display interface.

26. The system of claim 25 , wherein the computing device is further configured to control capturing of the image data to satisfy at least one alignment condition.

27. The system of claim 26 , wherein the at least one alignment condition comprises detection of positioning of the reference feature of the live action preview within a box of the targeting guide.

28. The system of claim 26 , wherein the at least one alignment condition includes detection of a tilt condition being within about +/−10 degrees of a superior-inferior extending axis.

29. The system of claim

Assignees

• Resmed Ltd
• ResMed Pty Ltd

Inventors

• Fu Timothy Tsun-Fai
• Butyletskiy Denis
• Kooij Michiel
• Johnston Benjamin Peter
• Hudson Robert James

Classifications

• G06V10/7553

  based on shape, e.g. active shape models [ASM] · CPC title

• G06V40/172

  Classification, e.g. identification · CPC title

• G06V40/168

  Feature extraction; Face representation · CPC title

• A61M16/0605

  Means for improving the adaptation of the mask to the patient · CPC title

• G06T7/60 Primary

  Analysis of geometric attributes · CPC title