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Consumer Sleep Technology
Search All Applications in Consumer Sleep Technology
Application US20210082305
Published 2021-03-18
Data-driven Sleep Coaching System
System and method for a user to monitor and/or modify his or her sleep. In one embodiment, the sleep coaching system comprises a sensor for sensing a physiological signal of a sleeping user such as an EEG, computer memory databases for storing user and sleep-related data and advice, and a processor that generates a set of advice to improve user sleep satisfaction based on the user and sleep-related data. The advice to improve user sleep satisfaction, which may be communicated to the user, may comprise a sleep coaching plan, which may include one or more sleep coaching workshops that the user may undertake.
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- 1. A sleep coaching system, comprising:
at least one physiological sensor configured to be mounted to a portion of a user's head, the at least one physiological sensor configured to measure at least one physiological signal associated with the user, wherein the at least one physiological sensor comprises at least one electrically conductive bio-sensor for sensing electro-physiological signals of the user's head; and a first processor configured to:
correlate data associated with the at least one physiological signal with input data that is indicative of one or more aspects of the user's behavior that affect the user's sleep; and
generate a first set of sleep-related advice from a database for improving the user's sleep satisfaction based on the data associated with the at least one physiological signal and the input data of the user.
- 21. A method of a sleep coaching system comprising:
measuring, by at least one physiological sensor configured to be mounted to a portion of a user's head, at least one physiological signal associated with the user's sleep, wherein the at least one physiological sensor comprises at least one electrically conductive bio-sensor for sensing electro-physiological signals of the user's head;
accessing input data that is indicative of one or more aspects of the user's behavior that affect the user's sleep; and
correlating, by a processor, data associated with the at least one physiological signal with the input data of the user to generate a first set of sleep-related advice for improving the user's sleep satisfaction based on the data associated with the at least one physiological signal and the input data of the user.
