Data-driven sleep coaching system
First Claim
1. A kit for an interactive sleep coaching program, comprisinga sleep sensor of the type that measures a physiological signal and generates and displays sleep data that characterizes a user'"'"'s sleep;
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Accused Products
Abstract
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.
198 Citations
20 Claims
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1. A kit for an interactive sleep coaching program, comprising
a sleep sensor of the type that measures a physiological signal and generates and displays sleep data that characterizes a user'"'"'s sleep; - and
a sleep coaching program for collecting information about that respective user'"'"'s sleeping conditions and for selecting as a function of an algorithm that considers the collected information, a targeted set of advice stored within a data base of stored advice, for improving the sleep satisfaction of the respective user, whereby the user may collect advice from the sleep coaching program and employ the sleep sensor to determine interactively whether the advice and sleep coaching program are improving their sleep satisfaction. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. An interactive sleep coaching system, comprising:
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a sensor of the type that can be worn by a user to measure a physiological signal to collect user sleep data, a processing unit for communicating with the sensor and recording the sleep data collected by the sensor over a defined period of time, having a baseline processor for generating a baseline representative of sleep quality of the user, a user data input device for collecting diary data indicative of events in the user'"'"'s life and the timing of those events, a processor for correlating, at least as a function of time, the recorded sleep data with the collected diary data to generate a first set of advice for improving the sleep satisfaction based at least in part on the sleep data associated with the defined period of time, and a progression processor for collecting sleep data over a second later period of time and providing to the user a second set of sleep advice for improving the sleep satisfaction based at least in part on the sleep data associated with the second later period of time and the first set of advice. - View Dependent Claims (15, 16, 17)
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18. A method for providing an interactive sleep coaching program to a user, comprising
receiving sleep data associated with a first day and being indicative of quality of sleep, wherein the sleep data is determined by sensing and processing a physiological signal of the user while the user is sleeping, receiving diary data indicative of user lifestyle events, the diary data including data received from the user describing lifestyle events during the first day, mapping the sleep data associated with the first day to the diary data associated with the first day, providing to the user a first set of advice for improving user sleep satisfaction based at least in part on the sleep data associated with the first day, receiving sleep data associated with a second day and being indicative of quality of sleep, wherein the sleep data is determined by sensing and processing a physiological signal of the user while the user is sleeping, receiving diary data indicative of user lifestyle events, the diary data including data received from the user describing lifestyle events during the second day, mapping the sleep data associated with the second day to the diary data associated with the second day, and providing to the user a second set of advice for improving user sleep satisfaction based at least in part on the sleep data associated with the second day and the first set of advice.
Specification