Mask sizing tool using a mobile application

US11857726B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11857726-B2
Application numberUS-202117196391-A
CountryUS
Kind codeB2
Filing dateMar 9, 2021
Priority dateJun 30, 2015
Publication dateJan 2, 2024
Grant dateJan 2, 2024

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

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

Opening claim text (preview).

The invention claimed is: 1. A non-transitory computer-readable medium containing processor control instructions, which when executed by one or more processors, control operations for an automated method for selecting a patient interface according to patient interface size, the processor control instructions comprising: instructions to control displaying a predetermined reference feature having a known dimension on a display interface of a display device; instructions to receive image data captured by an image sensor coupled with the display device, the captured image data containing one or more facial features of an intended user of the patient interface in association with a displayed version of the predetermined reference feature being displayed on the display interface of the display device; instructions to detect one or more facial features of the user in the captured image data; instructions to detect the displayed version of the predetermined reference feature in the captured image data; and instructions to 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 displayed version of the predetermined reference feature and the known dimension of the predetermined reference feature. 2. The non-transitory computer-readable medium of claim 1 wherein the processor control instructions further comprise instructions to 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. 3. The non-transitory computer-readable medium of claim 1 wherein the aspect of the one or more facial features comprises a distance between a sellion and supramenton of the user. 4. The non-transitory computer-readable medium of claim 1 wherein the instructions to process image pixel data comprise processing instructions to calculate a value of the measured aspect based on a scaling factor derived from the image pixel data associated with the displayed version of the predetermined reference feature. 5. The non-transitory computer-readable medium of claim 1 wherein the instructions to process image pixel data further comprise processing instructions to adjust a value of the measured aspect with an anthropometric correction factor. 6. The non-transitory computer-readable medium of claim 5 wherein the anthropometric correction factor is based on patient interface return data. 7. The non-transitory computer-readable medium of claim 1 , wherein the display interface includes a targeting guide and a live action preview of content detected by the image sensor, the content including the displayed version of the predetermined reference feature being displayed on the display interface of the display device. 8. The non-transitory computer-readable medium of claim 7 , wherein the processor control instructions comprise instructions to control capturing of the image data to satisfy at least one alignment condition. 9. The non-transitory computer-readable medium of claim 8 , wherein the at least one alignment condition comprises detection of positioning of the displayed version of the predetermined reference feature of the live action preview within a box of the targeting guide. 10. The non-transitory computer-readable medium 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. 11. The non-transitory computer-readable medium of claim 10 , wherein the at least one alignment condition includes detection of a tilt condition being within about +/−5 degrees of a superior-inferior extending axis. 12. The non-transitory computer-readable medium of claim 11 , wherein detection of a tilt condition is performed by reading an inertial measurement unit (IMU). 13. The non-transitory computer-readable medium of claim 1 wherein the patient interface comprises a mask or nasal mask. 14. The non-transitory computer-readable medium of claim 1 wherein the instructions to process image pixel data comprise instructions to count pixels. 15. The non-transitory computer-readable medium of claim 2 wherein the processor control instructions further comprise instructions to control generating an automated electronic offer for a patient interface for purchase based on the selected patient interface size. 16. The non-transitory computer-readable medium of claim 1 , wherein the processor control instructions further comprise instructions to calculate an average of the measured aspect of the facial feature from a plurality of captured images of the one or more facial features. 17. A system for automatically recommending a patient interface size complementary to a particular patient's facial features comprising: one or more processors configured to: display a predetermined reference feature having a known dimension on a display interface of a display device; receive captured image data of an image, the captured image data containing one or more facial features of a user in association with a displayed version of the predetermined reference feature being displayed on the display interface of the display device, the image data captured with an image sensor that is coupled with the display device; detect one or more facial features of the user in the captured image data; detect the displayed version of the predetermined reference feature in the captured image data; and 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 displayed version of the predetermined reference feature and the known dimension of the predetermined reference feature. 18. The system of claim 17 wherein the one or more processors are further configured to 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 patient interface comprises a mask or nasal mask. 20. The system of claim 17 wherein the one or more processor comprises a mobile computing device, the mobile computing device configured to communicate with one or more servers over a network. 21. The system of claim 17 wherein the one or more processors comprises one or more servers. 22. The system of claim 21 wherein the one or more servers is configured to transfer by download to a computing device comprising a mobile device processor of the one or more processors, via a network, processor control instructions for operating the mobile device processor for automatically recommending a patient interface size complementary to a particular patient's facial features. 23. Apparatus for automatically recommending a patient interface size complementary to a particular patient's facial features, the apparatus comprising: means for displaying a predetermined reference feature having a known dimension; means for receiving image data captured by an image sensor, the ca

Assignees

Inventors

Classifications

  • Classification, e.g. identification · CPC title

  • Feature extraction; Face representation · CPC title

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

  • G06T7/60Primary

    Analysis of geometric attributes · CPC title

  • A61M16/06Primary

    Respiratory or anaesthetic masks · CPC title

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What does patent US11857726B2 cover?
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 …
Who is the assignee on this patent?
ResMed Pty Ltd
What technology area does this patent fall under?
Primary CPC classification G06T7/60. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jan 02 2024 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).