# US 2019/0167934 A1 · Methods and systems for providing interface components for respiratory therapy

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- Number: US 2019/0167934 A1
- Document ID: US20190167934A1
- Status: Published application
- Kind: A1
- Application number: 16/150,386
- Filed: 2018-10-03
- Published: 2019-06-06
- Earliest claimed: 2015-11-25
- Assignees: ResMed Limited
- Applicants: Resmed Limited
- Inventors: Simon Michael LUCEY; Benjamin Peter Johnston; Priyanshu Gupta; Tzu-Chin Yu
- Web page: https://patentgrep.com/patent/US20190167934A1

## CPC

- G16H 40/60: for the operation of medical equipment or devices
- A61B 5/0064: {Body surface scanning}
- A61B 5/1072: {measuring distances on the body, e.g. measuring length, height or thickness (A61B5/1076 takes precedence)}
- A61B 5/1079: {using optical or photographic means}
- A61M 16/021: {operated by electrical means (A61M16/202 – A61M16/205 take precedence)}
- A61M 16/06: Respiratory or anaesthetic masks
- A61M 16/0605: {Means for improving the adaptation of the mask to the patient}
- A61M 16/0633: {with forehead support}
- A61M 16/0683: {Holding devices therefor}
- A61M 16/0816: {Joints or connectors}
- G06N 20/00: Machine learning
- G06N 20/10: using kernel methods, e.g. support vector machines [SVM]
- G06T 15/205: {Image-based rendering}
- G06V 10/32: Normalisation of the pattern dimensions
- G06V 40/165: {using facial parts and geometric relationships}
- G06V 40/166: {using acquisition arrangements}
- G06V 40/169: {Holistic features and representations, i.e. based on the facial image taken as a whole}
- G06V 40/171: {Local features and components; Facial parts (eye characteristics G06V40/18); Occluding parts, e.g. glasses; Geometrical relationships}
- G16H 20/40: relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
- G16H 30/40: for processing medical images, e.g. editing
- G16H 50/50: for simulation or modelling of medical disorders
- A61B 5/08: Measuring devices for evaluating the respiratory organs
- A61M 2016/0661: {with customised shape}
- A61M 2205/3561: local, e.g. within room or hospital
- A61M 2205/3592: using telemetric means, e.g. radio or optical transmission
- A61M 2205/505: Touch-screens; Virtual keyboard or keypads; Virtual buttons; Soft keys; Mouse touches
- A61M 2207/00: Methods of manufacture, assembly or production
- G06N 3/00: Computing arrangements based on biological models
- G06T 2210/41: Medical
- G06T 2215/16: Using real world measurements to influence rendering
- G06V 20/64: Three-dimensional [3D] objects
- G16H 10/60: for patient-specific data, e.g. for electronic patient records
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- A61M: DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY (introducing media into or onto the bodies of animals A61D7/00; means for inserting tampons A61F13/26; devices for administering food or medicines orally A61J; containers for collecting, storing or administering blood or medical fluids A61J1/05); DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY (surgery A61B; chemical aspects of surgical articles A61L); DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR {(Electrotherapy, e.g. producing anaesthesia by the use of alternating or intermittent currents A61N1/36021)}
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING

## Abstract

Systems and methods permit generation of a digital scan of a user's face such as for obtaining of a patient respiratory mask, or component(s) thereof, based on the digital scan. The method may include: receiving video data comprising a plurality of video frames of the user's face taken from a plurality of angles relative to the user's face, generating a three-dimensional representation of a surface of the user's face based on the plurality of video frames, receiving scale estimation data associated with the received video data, the scale estimation data indicative of a relative size of the user's face, and scaling the digital three-dimensional representation of the user's face based on the scale estimation data. In some aspects, the scale estimation data may be derived from motion information collected by the same device that collects the scan of the user's face.

## Claims

### Claim 1

An apparatus for acquiring data for generation of a three-dimensional facial scan of a user for obtaining a patient respiratory interface component, the apparatus comprising:
an image sensor and lens for capturing two dimensional image data of the user's face;
a motion sensor configured to sense movement data of at least one of a movement of the apparatus and a change in orientation of the apparatus;
a processor configured to receive image data from the image sensor and to receive movement data from the motion sensor, to generate a video file based on the image data received from the image sensor, and to generate a data file based on the movement data received from the motion sensor, and to associate each of the video file and data file with one another; and
a transmitter, coupled with the processor, to transmit the associated video and data files to a system comprising a surface engine at a remote destination for generation of a three-dimensional representation of the user's face based on the received image data and the received movement data.

### Claim 2

A system for obtaining a patient respiratory interface component comprising:
one or more processors for accessing, in one or more data stores, a training dataset of three-dimensional surfaces, each three-dimensional surface representative of a surface of a human face; and
the one or more processors further configured to receive a plurality of two-dimensional images of a face of a human subject, each of the images having been taken at an unspecified distance from and an unspecified angle relative to the human subject, receive a request to generate a new three-dimensional surface from said images of the face of the human subject, and generate the new three-dimensional surface based on a support vector machine and said images, wherein the support vector machine is derived from the training dataset of three-dimensional surfaces; and
a processor configured to determine and/or identify a particular mask, mask-related component, mask size and/or size of a mask related component based on the generated new three-dimensional surface.
