SYSTEMS AND METHODS FOR IDENTIFYING USER BODY POSITION DURING RESPIRATORY THERAPY

    公开(公告)号:US20240000344A1

    公开(公告)日:2024-01-04

    申请号:US18039093

    申请日:2021-11-26

    CPC classification number: A61B5/1126 A61B5/087 A61B5/4818

    Abstract: A system for identifying a body position of a user of a respiratory therapy system includes a sensor, a memory, and a control system. The sensor is configured to generate airflow data associated with the user. The memory stores machine-readable instructions. The control system includes one or more processors configured to execute the machine-readable instructions to receive the airflow data associated with the user during a sleep session. The control system is further configured to determine one or more features associated with the airflow data, and identify the body position of the user during a first portion of the sleep session based at least in part on the determined one or more features. The control system is further configured to cause an action to be performed based at least in part on the identified body position of the user.

    SYSTEMS AND METHODS FOR MONITORING COMORBIDITIES

    公开(公告)号:US20230363700A1

    公开(公告)日:2023-11-16

    申请号:US18245528

    申请日:2021-09-17

    Abstract: A system includes a respiratory therapy system, a memory device, and a control system. The respiratory therapy system includes a respiratory therapy device supplying pressurized air, and a user interface coupled to the respiratory therapy device via a conduit to direct the pressurized air to an airway of a user. The memory device stores machine-readable instructions. The control system includes a processor(s) to execute the machine-readable instructions to: generate data, during a current sleep session, associated with a user of a respiratory therapy system; analyze the generated data to determine a value of a first metric that is associated with a sleep disordered breathing (SDB) condition; analyze the generated data to determine a value of a second metric that is associated with a health condition other than the SDB condition; and based at least in part on the determined value of the second metric, cause an action to be performed.

    Apparatus, system, and method for physiological sensing in vehicles

    公开(公告)号:US11707197B2

    公开(公告)日:2023-07-25

    申请号:US15733174

    申请日:2018-12-21

    Abstract: Methods and apparatus provide physiological movement detection, such as gesture, breathing, cardiac and/or gross motion, such as with sound, radio frequency and/or infrared generation, by electronic devices such as vehicular processing devices. The electronic device in a vehicle may, for example, be any of an audio entertainment system, a vehicle navigation system, and a semi-autonomous or autonomous vehicle operations control system. One or more processors of the device, may detect physiological movement by controlling producing sensing signal(s) in a cabin of a vehicle housing the electronic device. The processor(s) control sensing, with a sensor, reflected signal(s) from the cabin. The processor(s) derive a physiological movement signal with the sensing signal and reflected signal and generate an output based on an evaluation of the derived physiological movement signal. The output may control operations or provide an input to any of the entertainment system, navigation system, and vehicle operations control system.

    SYSTEMS AND METHODS FOR INSOMNIA SCREENING AND MANAGEMENT

    公开(公告)号:US20230191057A1

    公开(公告)日:2023-06-22

    申请号:US18069750

    申请日:2022-12-21

    Abstract: A method includes receiving physiological data associated with a user during a sleep session. The method also includes determining a sleep-wake signal for the user during the sleep session based at least in part on the received physiological data. The method also includes determining one or more sleep-related parameters for the user during the sleep session based at least in part on the sleep-wake signal. The method also includes determining that the user experienced insomnia during the sleep session based at least in part on at least one of the one or more sleep-related parameters. The method also includes identifying a type for the insomnia experienced by the user based at least in part on the one or more sleep-related parameters.

    METHODS AND APPARATUS FOR DETECTION AND MONITORING OF HEALTH PARAMETERS

    公开(公告)号:US20230190140A1

    公开(公告)日:2023-06-22

    申请号:US17925739

    申请日:2021-05-19

    CPC classification number: A61B5/113 A61B5/4806 A61B5/0816

    Abstract: Methods and apparatus provide monitoring of coughing and/or a sleep disordered breathing state of a person. One or more sensors may be configured for non-contact active and/or passive sensing. The processor(s) may extract respiratory effort signal(s) from one or more motion signals generated by active non-contact sensing with the sensor(s). The processor(s) may extract one or more energy band signals from an acoustic audio signal generated by passive non-contact sensing with the sensor(s). The processor(s) may assess the energy band signal(s) and/or the respiratory efforts signal(s) to generate intensity signal(s) representing sleep disorder breathing modulation. The processor(s) may classify feature(s) derived from the one or more intensity signals to generate measure(s) of coughing and/or sleep disordered breathing. The processor may evaluate sensing signal(s) to generate indication(s) of cough event(s) and/or cough type which may include generating an indication of a coronavirus disease or a coronavirus disease cough type.

    SYSTEMS AND METHODS FOR INCREASING A SLEEPINESS OF INDIVIDUALS

    公开(公告)号:US20230111477A1

    公开(公告)日:2023-04-13

    申请号:US17908340

    申请日:2021-03-05

    Abstract: A system includes a memory device storing machine-readable instructions and a control system including one or more processors configured to execute the machine-readable instructions to receive initial physiological data associated with a user, determine, based at least in part on initial physiological data, an initial sleepiness level for the user, prompt the user, via an electronic device, to perform a first activity, receive subsequent physiological data associated with the user, determine, based at least in part on the subsequent physiological data, a subsequent sleepiness level for the user, and determine a first activity score based at least in part on the initial sleepiness level and the subsequent sleepiness level, the first activity score being indicative of an effectiveness of the first activity in modifying the sleepiness of the user.

    SYSTEMS AND METHODS FOR DETECTING AN INTENTIONAL LEAK CHARACTERISTIC CURVE FOR A RESPIRATORY THERAPY SYSTEM

    公开(公告)号:US20230085305A1

    公开(公告)日:2023-03-16

    申请号:US17801096

    申请日:2021-03-05

    Abstract: A plurality of flow rate values associated with pressurized air directed to an airway of a user of a respiratory therapy system is received. A plurality of pressure values associated with the pressurized air directed to the airway of the user is received. A first time associated with a first breath of the user and a second time associated with a second breath of the user are identified. The plurality of flow rate values is filtered based at least in part on the identified first time and the identified second time. The filtering produces a subset of the plurality of flow rate values. An intentional leak characteristic curve for the respiratory therapy system is determined using at least two of the subset of the plurality of flow rate values and the corresponding pressure values for said at least two of the subset of the plurality of flow rate values.

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