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Consumer Sleep Technology

Search All Applications in Consumer Sleep Technology


Application US20190254589


Published 2019-08-22

Sleep Scoring Based On Physiological Information

Assessing the sleep quality of a user in association with an electronic device with one or more physiological sensors includes detecting an attempt by the user to fall asleep, and collecting physiological information associated with the user. The disclosed method of assessing sleep quality may include determining respective values for one or more sleep quality metrics, including a first set of sleep quality metrics associated with sleep quality of a plurality of users, and a second set of sleep quality metrics associated with historical sleep quality of the user, based at least in part on the collected physiological information and at least one wakeful resting heart rate of the user, and determining a unified score for sleep quality of the user, based at least in part on the respective values of the one or more sleep quality metrics.



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4 Independent Claims

  • 1. (canceled)

  • 2. A wearable device, comprising: a housing; one or more physiological sensors disposed in the housing, the one or more sensors operable to capture one or more signals, the one or more signals including signals representative of movement; one or more processors disposed in the housing; a display; and control circuitry configured to: detect a lack of movement for a threshold period of time; collect physiological data, including at least one sleeping heart rate; determine respective values for one or more sleep quality metrics, based at least in part on the collected physiological data and at least one wakeful resting heart rate; and present, on the display, a representation of a score for sleep quality, the score for sleep quality based at least in part on the respective values of the one or more sleep quality metrics.

  • 11. A computer-implemented method, comprising: receiving one or more signals indicating a lack of movement for a threshold period of time; receiving physiological data including at least one sleeping heart rate, the physiological data generated by one or more physiological sensors; determining respective values for one or more sleep quality metrics based at least in part on the physiological data and at least one wakeful resting heart rate; and determining a score for sleep quality, based at least in part on the respective values of the one or more sleep quality metrics.

  • 21. A computing system, comprising: one or more processors; and memory including instructions that, when executed by the at least one processor, cause the computing system to: receive movement data from a wearable device, the movement data including a lack of movement for a threshold period of time; collect, from the wearable device, physiological data including at least one sleeping heart rate; determine respective values for one or more sleep quality metrics, based at least in part on the collected physiological data and at least one wakeful resting heart rate; and determine a score for sleep quality, based at least in part on the respective values of the one or more sleep quality metrics.