Optimized effectiveness based sleep aid management
AssigneeKoninklijke Philips N.V.
InventorsJenny MARGARITO, Sara KRON, Benjamin Irwin SHELLY
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Abstract
A melatonin optimization system detects users' hormone sensitivity through sleep architecture monitoring and recommends a dose of melatonin personalized to each user in relation to the user's behaviors, needs and health conditions. Determining an optimized melatonin dose requires accurate prediction of non-intervention sleep onset latency for the upcoming sleep period so that the dose can be based on the difference between the user's desired sleep onset latency and the predicted non-intervention sleep onset latency. The system can use either a general population-based sleep onset latency prediction model or a machine learning model trained to be personalized for each user.
Claims15
A melatonin optimization system for optimizing the effectiveness of exogenous melatonin in achieving a desired sleep outcome for a user, the system comprising:
- a user interface configured to accept information input to the user interface regarding health conditions, self-reported behavior, and a desired sleep outcome of the user;
- a sleep architecture detection module configured to perform monitoring of a sleep architecture of the user and to detect a hormone sensitivity of the user through the monitoring;
- a behavior detection module configured to detect and collect information about behavior of the user in order to define a detected behavior of the user;
- an initial dose algorithm module configured to define an initial advised dose of melatonin for the user;
- an effectiveness evaluation module configured to determine an outcome difference between the desired sleep outcome of the user and a measured sleep outcome of the user;
- and
- a recommendation engine configured to define an intervention for the user to reduce the outcome difference,
- wherein the initial dose algorithm module is configured to define the initial advised dose of melatonin based on the information input to the user interface, and
- wherein the recommendation engine is configured to define the intervention based on the outcome difference, the monitoring of the sleep architecture, the detected behavior of the user, and the initial advised dose of melatonin.
Dependencies are inferred from the claim text.