Abstract: A method includes receiving electronically data associated with physical or psychological factors of a user, the data being collected from (a) a plurality of smart home devices, (b) a plurality of mobile devices, or (c) both. The physical or psychological factors are based on at least one physical activity of the user. The method further includes identifying, based on the data, an effect on sleep quality of the user, based on which a remedial action is determined for improving sleep quality of the user. The method also includes causing the remedial action to be communicated in electronic form to the user in real-time during the physical activity, and automatically implementing, without input from the user, at least a part of the remedial action via one or more of the devices. The remedial action increases least one of a deep-sleep state and sleep duration of the user.

Abstract: A method of predicting an unintentional leak in a respiratory system during a sleep session includes causing, during the sleep session, pressurized air to be delivered from a respiratory device to a user via a conduit coupled to a user interface. The method also includes receiving historical first data associated with pressurized air delivered from the respiratory device during one or more prior sleep sessions; receiving current first data associated with the pressurized air being delivered from the respiratory device during the sleep session; receiving historical second data associated with the user during one or more prior sleep sessions; and receiving, via one or more second sensors, current second data associated with the user during the current sleep session. The method determines, a likelihood that an unintentional leak in the respiratory system will occur within a predetermined amount of time.

Abstract: A method for determining a user interface type comprises receiving data associated with an individual who uses a respiratory therapy system. The method further comprises receiving data associated with a plurality of other individuals. Each of the plurality of other individuals is a user of a respiratory therapy system. The method further comprises, based at least in part on the received data, determining a recommended type of user interface to be worn by the individual during use of the respiratory therapy system.

Abstract: Techniques for data security are provided. Face data for a patient is received, where the face data is linked to an identifier of the patient. A suggested medical device is determined by processing the face data using a recommendation model. Therapy data stored in a first data store and equipment data stored in a second data store are identified based on the identifier, where the equipment data indicates an actual medical device that was provided to the patient. The suggested medical device, the therapy data, and the equipment data are associated.

Abstract: According to some implementations of the present disclosure, a method for determining a remaining useful life of an interface of a respiratory therapy system is disclosed. Acoustic data associated with an acoustic reflection of an acoustic signal is received. The acoustic reflection is indicative of a portion of a structural shape of the interface. The received acoustic data is analyzed to identify a physical feature of the portion of the structural shape of the interface. The physical feature is compared to a reference feature. Based at least in part on the comparison, the remaining useful life of the interface is determined.

Abstract: Disclosed are systems and methods for automatically porting respiratory therapy settings to a new respiratory therapy device. Currently, when a patient replaces receives a replacement respiratory therapy device, the prescription settings must be manually ported. Accordingly, the inventors have developed technology to automatically, port, translate, and validate therapy settings and modes to a replacement respiratory therapy device.

Abstract: Techniques for data security are provided. Face data for a patient is received, where the face data is linked to an identifier of the patient. A suggested medical device is determined by processing the face data using a recommendation model. Therapy data stored in a first data store and equipment data stored in a second data store are identified based on the identifier, where the equipment data indicates an actual medical device that was provided to the patient. The suggested medical device, the therapy data, and the equipment data are associated.

Abstract: A method for classifying a user of a respiratory pressure therapy (RPT) device is disclosed, the method comprising: identifying that the user has commenced a therapy session with the RPT device; receiving first input data associated with the user and the therapy session; training a machine learning model based on a plurality of pre-classified users and the first input data to determine an association between a user and a plurality of classifications; classifying the user into a classification of the plurality of classifications; and in response to classifying the user into the classification, causing a user device and/or the RPT device to execute an action. The first input data may include selections from the user in response to a survey prompt.

Abstract: A system includes a respiratory device, a mask, a microphone, a speaker, and a control system. The respiratory device is configured to supply pressurized air. The mask is coupled to the respiratory device and configured to engage a user during a sleep session to aid in directing the supplied pressurized air to the user. The microphone is configured to generate audio data. The speaker is configured to emit sound. The control system is configured to analyze the audio data to determine if noise associated with air leaking from the mask is occurring. Responsive to (i) the analysis resulting in a determination that noise associated with air leaking from the mask is occurring, (ii) the respiratory device determining that air is leaking from the mask, or (iii) both, the speaker is caused to emit the sound to aid in masking the noise associated with the air leaking from the mask.

Abstract: A mobile device for identifying a potential candidate includes a screen, a sensor, and a control system. The sensor configured to generate sensor data associated with use of the mobile device. The control system is configured to: extract location data from the sensor data, the location data including physical location of the mobile device at different time intervals; determine from the location data whether mobility of the mobile device is below a threshold; extract mobile device usage data from the sensor data; determine, from the mobile device usage data, a pattern of use of the mobile device to obtain a sleeping pattern of the potential candidate; and based at least in part on the mobility of the mobile device being below a threshold and the pattern of use of the mobile device, cause the screen to display an alert.

Abstract: A respiratory therapy system for providing continuous positive air pressure (CPAP) to a patient may include a flow generator for generating a supply of breathable gas, a sensor to measure a physical quantity while the breathable gas is supplied, and a computing device. The computing device may be configured to: receive sensor data that is based on measured physical property of the supply of breathable gas; control the flow generator to adjust a property of the supply of breathable gas; display a question and a plurality of selectable responses; receive a first input selecting one of the selectable responses; and display a coaching response corresponding to the selected response.

Abstract: A system includes a respiratory device, a mask, a microphone, a speaker, and a control system. The respiratory device is configured to supply pressurized air. The mask is coupled to the respiratory device and configured to engage a user during a sleep session to aid in directing the supplied pressurized air to the user. The microphone is configured to generate audio data. The speaker is configured to emit sound. The control system is configured to analyze the audio data to determine if noise associated with air leaking from the mask is occurring. Responsive to (i) the analysis resulting in a determination that noise associated with air leaking from the mask is occurring, (ii) the respiratory device determining that air is leaking from the mask, or (iii) both (i) and (ii), cause the speaker to emit the sound to aid in masking the noise associated with the air leaking from the mask.

Abstract: A method for determining a risk factor for a condition comprises generating first image data of the interior of the mouth of an individual. The first image data is associated with one or more internal physical features of the individual. The method further comprises generating second image data of the exterior of the mouth of an individual. The second image data is associated with one or more external physical features of the individual. The method further comprises determining a risk factor for the individual associated with the condition that is based at least in part on the first image data, the second image data, or both.

Abstract: A method for testing lung function of a user donning a user interface includes administering a supplemental breathing test in response to receiving an input from the user selecting the supplemental breathing test. The user interface is coupled, via a conduit, to a respiratory therapy device in a respiratory therapy system. Moreover, the supplemental breathing test is administered by adjusting parameters of the respiratory therapy device. The method also includes receiving first airflow parameter data associated with a first airflow generated by the user. The first airflow is generated by the user into an interior of the user interface while donning the user interface. The method also includes characterizing the lung function of the user based at least in part on the first airflow parameter data.

Abstract: A method includes causing, via an application executing on a user device, the user device to capture an image of a user. The method also includes receiving, by a control system, the image of the user. The method also includes analyzing, by the control system based on a machine learning algorithm, the image of the user. The method also includes determining, by the control system based on the analyzing the image of the user, the sleep score for the user.

Abstract: A system and method to collect feedback data from a patient wearing an interface such as a mask when using a respiratory pressure therapy device such as a CPAP device. The system includes a storage device including a facial image of the patient. An interface in communication with the respiratory pressure therapy device collect operational data from when the patient uses the interface. A patient interface collects subjective patient input data from the patient in relation to the patient interface. An analysis module correlates a characteristic of the interface with the facial image data, operational data and subjective patient input data.

Abstract: A respiratory therapy system for providing continuous positive air pressure (CPAP) to a patient may include a flow generator for generating a supply of breathable gas, a sensor to measure a physical quantity while the breathable gas is supplied, and a computing device. The computing device may be configured to: receive sensor data that is based on measured physical property of the supply of breathable gas; control the flow generator to adjust a property of the supply of breathable gas; display a question and a plurality of selectable responses; receive a first input selecting one of the selectable responses; and display a coaching response corresponding to the selected response.

Abstract: A system and method to collect feedback data from a patient wearing an interface such as a mask when using a respiratory pressure therapy device such as a CPAP device. The system includes a storage device including a facial image of the patient. An interface in communication with the respiratory pressure therapy device collect operational data from when the patient uses the interface. A patient interface collects subjective patient input data from the patient in relation to the patient interface. An analysis module correlates a characteristic of the interface with the facial image data, operational data and subjective patient input data.

Abstract: A patient interface includes a sealing arrangement adapted to provide an effective seal with the patient's nose, an inlet conduit arrangement adapted to deliver breathable gas to the sealing arrangement, and a cover that substantially encloses the sealing arrangement and/or the inlet conduit arrangement.

Abstract: A system and method to collect feedback data from a patient wearing an interface such as a mask when using a respiratory pressure therapy device such as a CPAP device. The system includes a storage device including a facial image of the patient. An interface in communication with the respiratory pressure therapy device collect operational data from when the patient uses the interface. A patient interface collects subjective patient input data from the patient in relation to the patient interface. An analysis module correlates a characteristic of the interface with the facial image data, operational data and subjective patient input data.