Methods and apparatus for ventilatory treatment of respiratory disorders
US-2024399083-A1 · Dec 5, 2024 · US
US2024399087A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2024399087-A1 |
| Application number | US-202418679651-A |
| Country | US |
| Kind code | A1 |
| Filing date | May 31, 2024 |
| Priority date | Jun 2, 2023 |
| Publication date | Dec 5, 2024 |
| Grant date | — |
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A system and method for generating a predictive indicator representing a difference between a PAP titration sleep session and at least one conventional sleep session. Data relating to the subject's sleep and to sleep influencing factors is obtained for both the PAP titration sleep session and the conventional sleep session, and is processed to identify any differences between the PAP titration sleep session and the conventional sleep session. A predictive indicator indicative of whether the identified difference(s), if present, satisfy a first predetermined condition is generated.
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1 . A processing system for generating a predictive indicator representing a difference between a PAP titration sleep session and at least one conventional sleep session of a subject, the processing system being configured to: obtain titration data for the subject, wherein the titration data was acquired during the PAP titration sleep session and comprises at least one value for each of one or more sleep parameters and sleep influencing factor information; obtain conventional sleep data for the subject, wherein the conventional sleep data was acquired during the at least one conventional sleep session in which positive airway pressure, PAP, therapy was delivered by a PAP device, and wherein the conventional sleep data comprises at least one value for each of the one or more sleep parameters and sleep influencing factor information relating to one or more sleep influencing factors; process the titration data and the conventional sleep data to determine, if present, one or more differences between the PAP titration sleep session and the conventional sleep session; generate a predictive indicator that indicates whether or not, if present, the one or more differences between the PAP titration sleep session and the at least one conventional sleep session satisfy a first predetermined condition; in response to the one or more differences between the PAP titration sleep session and the at least one conventional sleep session satisfying the first predetermined condition, process the sleep influencing factor information in the titration data and the sleep influencing factor information in the conventional sleep data to determine, if present, one or more differences between sleep influencing factor information in the PAP titration sleep session and the at least one conventional sleep session; and process the predictive indicator and the one or more differences between the sleep influencing factor information in the titration data and the sleep influencing factor information in the conventional sleep data to determine a recommended action. 2 . The processing system of claim 1 , wherein the step of processing the titration data and the conventional sleep data to determine, if present, the one or more differences between the PAP titration sleep session and the at least one conventional sleep session comprises: generating, for at least one value of at least one of the one or more sleep parameters in the titration data, a comparison result between said value and a corresponding value in the conventional sleep data, to thereby produce one or more comparison results. 3 . The processing system of claim 1 , wherein: the sleep influencing factor information in the conventional sleep data comprises a subjective user assessment of the subject's sleep experience and information relating to one or more other sleep influencing factors; the sleep influencing factor information in the titration data comprises information relating to the one or more other sleep influencing factors; and the step of processing the sleep influencing factor information to determine, if present, the one or more differences comprises: processing the subjective user assessment of the subject's sleep experience to determine whether or not a second predetermined condition is satisfied; and in response to the second predetermined condition being satisfied, processing the information relating to the one or more other sleep influencing factors in the titration data and the information relating to the one or more other sleep influencing factors in the conventional sleep data to determine the one or more differences between the PAP titration sleep session and the at least one conventional sleep session. 4 . The processing system of claim 3 , wherein the processing system is further configured to control a first output user interface to provide a first user-perceptible output of the predictive indicator. 5 . The processing system of claim 1 , where the one or more sleep parameters include: a time and/or duration of a sleep stage, a number of arousals, a frequency of arousals, a number of SDB events, an apnea-hypopnea index, a duration of SDB events, and/or a type of SDB event. 6 . The processing system of claim 1 , wherein the processing system is further configured to control a second output user interface to provide a second user-perceptible output of the recommended action. 7 . The processing system of claim 1 , wherein: the recommended action comprises an adjusted pressure to be provided by the PAP device; and the processing system is further configured to generate a control signal configured to control the PAP device to provide air to the subject at the adjusted pressure. 8 . The processing system of claim 1 , wherein the step of determining the recommended action comprises: processing the one or more differences between the PAP titration sleep session and the at least one conventional sleep session to determine an initial recommended action; processing the titration data and the conventional sleep data to identify, for each of one or more aspects of the subject's behavior and/or environment, a relative effect of the aspect on a sleep quality for the subject; and processing the relative effect of each aspect and the initial recommended action to determine the recommended action. 9 . The processing system of claim 1 , wherein the processing system is further configured to: process the at least one value for at least one of the one or more sleep parameters in the titration data and/or the conventional sleep data to detect an arousal of the subject; process the titration data and/or the conventional sleep data to determine whether or not the detected arousal is caused by a sleep disordered breathing, SDB, event; and in response to a determination that the detected arousal is caused by an SDB event, determine an adjustment to be made to the PAP therapy provided to the subject. 10 . The processing system of claim 9 , wherein, in response to a determination that the detected arousal is not caused by an SDB event, the processing system is further configured to: process the titration data and/or the conventional sleep data to determine a cause of the detected arousal; and control a third output user interface to provide a third user-perceptible output of the cause of the detected arousal. 11 . The processing system of claim 10 , wherein: the at least one value for each of the one or more sleep parameters in the conventional sleep data is acquired by one or more sleep parameter sensors comprising at least one of: an airflow sensor, a pressure sensor, a cardiorespiratory sensor, a brain activity sensor, a muscle sensor, and/or a pulse oximetry sensor; and the sleep influencing factor information in the conventional sleep data is acquired by one or more sleep influencing factor sensors comprising at least one of: a user input device, an accelerometer, a particle sensor and/or an exhaled breath sensor. 12 . The processing system of claim 1 , wherein the conventional sleep data comprises data acquired during a plurality of conventional sleep sessions. 13 . A positive airway pressure, PAP, device comprising: one or more sleep parameter sensors configured to acquire at least one value for each of one or more sleep parameters; one or more sleep influencing factor sensors configured to acquire sleep influencing factor information; and the processing system of claim 1 . 14 . A computer-implemented method for generating a predictive indicator representing a difference between a PAP titration sleep session and at least one conventional sleep session of a
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