Systems and methods for setup of cpap systems
US-2020121873-A1 · Apr 23, 2020 · US
US2023001123A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2023001123-A1 |
| Application number | US-202017780487-A |
| Country | US |
| Kind code | A1 |
| Filing date | Nov 26, 2020 |
| Priority date | Nov 27, 2019 |
| Publication date | Jan 5, 2023 |
| Grant date | — |
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A respiratory pressure therapy system for providing continuous positive air pressure to a patient via a patient interface configured to engage with at least one airway of the patient. The system includes: a flow generator configured to generate supply of breathable gas for delivery to the patient via the patient interface; at least one sensor; a display; and a computing device. The computing device is configured to: receive sensor data that is based on measured physical property of the supply of breathable gas; control, based on the received sensor data, the flow generator to adjust a property of the supply of breathable gas; receive, an input indicating assistance is needed with using the patient interface; receive one or more images of the patient with the patient interface; analyse the received one or more images; and based on the analysis, display instructions for positioning the patient interface.
Opening claim text (preview).
1 . A respiratory pressure therapy system for providing continuous positive air pressure (CPAP) to a patient via a patient interface configured to engage with at least one airway of the patient, the system comprising: a flow generator configured to generate supply of breathable gas for delivery to the patient via the patient interface, wherein the breathable gas is output from the flow generator at a pressure level that is above atmospheric pressure; at least one sensor that is configured to measure a physical quantity while the breathable gas is supplied to the patient; a display; and a computing device including memory and at least one hardware processor, the computing device configured to: receive, from the at least one sensor, sensor data that is based on measured physical property of the supply of breathable gas; control, based on the received sensor data, the flow generator to adjust a property of the supply of breathable gas that is delivered to the patient; receive an input indicating assistance is needed with using the patient interface; receive one or more images including the patient with the patient interface; analyse the received one or more images based on a comparison between one or more reference images including the patient with the patient interface and the received one or more images; and based on the analysis, display, on the display, instructions for positioning the patient interface. 2 . The respiratory pressure therapy system of claim 1 , wherein the one or more reference images including the patient with the patient interface are stored in the memory. 3 . The respiratory pressure therapy system of claim 1 , wherein computing device is coupled to a camera configured to capture the one or more reference images. 4 . The respiratory pressure therapy system of claim 1 , wherein the computing device is configured to compare the one or more reference images and the received one or more images to determine improper patient interface fitting position. 5 . The respiratory pressure therapy system of claim 1 , wherein the computing device is configured to superimpose a correct position of the patient interface on the received one or more images, and the displayed instructions include the one or more superimposed images. 6 . The respiratory pressure therapy system of claim 1 , further comprising a remote computing system and the remote computing system is configured to determine the instructions for positioning the patient interface, and transmit the instructions to the computing device. 7 . The respiratory pressure therapy system of claim 6 , wherein the remote computing system is configured to: receive, from the computing device, the one or more images; train a machine learning model for instructing correct positioning of a patient interface; and the instructions for positioning the patient interface are determined based on the trained machine learning model. 8 . The respiratory pressure therapy system of claim 1 , wherein the computing device is further configured to receive an input indicating a type of the patient interface, and display, on the display, instructions for using the type of patient interface indicated by the input. 9 . The respiratory pressure therapy system of claim 1 , wherein the computing device is configured to transmit the received one or more images to a remote processing system configured to perform machine learning using the one or more images. 10 . The respiratory pressure therapy system of claim 1 , wherein the instructions include text, images, and/or graphics. 11 . A non-transitory computer readable storage medium storing instructions for use with a computing device that is configured to control a continuous positive air pressure (CPAP) device configured to generate the supply of breathable gas that is delivered to a patient via a patient interface configured to engage with at least one airway of the patient, wherein the breathable gas is output from a flow generator at a pressure level that is above atmospheric pressure, the CPAP device associated with at least one sensor that is configured to measure a physical quantity while the breathable gas is supplied to the patient, the computing device including at least one hardware processor, the stored instructions comprising instructions that are configured to cause the computing device to: receive, from the at least one sensor, sensor data that is based on measured physical property of the supply of breathable gas; control, based on the received sensor data, the flow generator to adjust a property of the supply of breathable gas that is delivered to the patient; receive, an input indicating assistance is needed with using the patient interface; receive one or more images including the patient with the patient interface; analyse the received one or more images based on a comparison between one or more reference images including the patient with the patient interface and the received one or more images; and based on the analysis, display, on the display, instructions for positioning the patient interface. 12 . A device comprising: a display; a camera; a memory; and a processing system including at least one hardware processor coupled to the display, the camera, and the memory, the processing system configured to: receive an indication identifying a type of a patient interface, configured to engage with at least one airway of a patient and supply breathable gas received from a continuous positive air pressure (CPAP) device to the patient; receive, from the camera, one or more images including a patient with the patient interface; analyse the received one or more images to determine fit of the patient interface on the patient based on a comparison between one or more reference images including the patient with the patient interface and the received one or more images; and based on the analysis, display, on the display, feedback for improving the fit of the patient interface on the patient. 13 . The device of claim 12 , wherein the received indication identifying the type of the patient interface is a user input. 14 . The device of claim 12 , wherein the received indication identifying the type of the patient interface is determined, by the processing system, based on an image including the patient interface. 15 . The device of claim 12 , wherein the analysis includes comparing the received one or more images to one or more reference images. 16 . The device of claim 15 , wherein the one or more reference images include the patient with the patient interface. 17 . The device of claim 15 , wherein the one or more reference images include a plurality of reference points, and the analysis includes, detecting reference points in the received one or more images and comparing the detected reference points to the plurality of reference points in the one or more reference images. 18 . The device of claim 12 , wherein the analysis includes extracting, from the received one or more images, one or more indicators included in patient interface. 19 . The device of claim 12 , wherein the received one or more images are captured from different positions and orientations of the camera. 20 . The device of claim 12 , wherein a plurality of images are captured at different times and the analysis includes comparing the plurality of images to determine changes in positioning of the patient interface between images captured at the different times. 21 . The device of claim 12 , w
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