Method and system for monitoring and improving sleep pattern of user

Inventors

Kinnunen, HannuKOSKIMÄKI, HeliLaakkonen, HarriErkkilä, Mika

Assignees

Oura Health Oy

Publication Number

US-11986313-B2

Publication Date

2024-05-21

Expiration Date

2038-11-21

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Abstract

A method and a system for providing feedback to a user for adjusting sleep pattern of the user. The method includes collecting a set of information related to the user, receiving a set of measurement data related to the user from a wearable electronic device, defining circadian rhythm and duration of sleep of the user, determining sleep scores for a predefined number of days and associating each sleep score with a corresponding go-to-bed time or time of falling asleep of the user. A sleep score is determined for each of the predefined number of days from the collected set of information, the set of measurement data, the circadian rhythm and the duration of sleep of the user. The method further includes analysing the sleep scores and associated go-to-bed time or time of falling asleep of the user to determine an optimum bedtime window for the user and providing feedback to the user based on the analysed sleep scores and the optimum bedtime window.

Core Innovation

The invention provides a method and a system for providing feedback to a user for adjusting and improving the sleep pattern of the user. The method includes collecting user-related information, receiving measurement data from a wearable electronic device, defining the user's circadian rhythm and sleep duration, determining sleep scores over a predefined number of days, associating each sleep score with the corresponding go-to-bed time or time of falling asleep, analyzing these sleep scores and associated times to determine an optimum bedtime window, and providing feedback with instructions to adjust the sleep pattern accordingly.

The problem addressed by the invention stems from modern lifestyles causing irregular work timings, increased screen time, extended workload, frequent traveling, and time zone adaptation issues that disturb individuals' sleep pattern and circadian rhythm. Conventional applications provide strict and stern schedules for go-to-bed and wake-up times without considering the user's physical health and activities, which causes stress and negatively affects the user's routine and mental state. Existing solutions do not adaptively or personally guide users to find an optimal sleep pattern that accounts for these factors.

Claims Coverage

The patent includes three independent claims covering a method, an apparatus, and a system for sleep monitoring, each featuring core inventive aspects related to determining sleep scores and optimizing go-to-bed times.

Method for adaptive sleep monitoring with feedback

A method comprising receiving measurement data from a wearable device; determining a sleep score based on the measurement data, user's circadian rhythm, and sleep duration where the score corresponds to the time of falling asleep; providing instructions for a first go-to-bed time based on analyzing the sleep score and time of falling asleep to determine an optimum bedtime window; and determining a second go-to-bed time for a subsequent night that lies between the first go-to-bed time and the optimum bedtime window.

Apparatus configured for automated sleep data processing and feedback

An apparatus including a processor and memory configured to receive measurement data, determine sleep scores based on the user's circadian rhythm and sleep duration, provide instructions for optimized bedtime based on analysis of sleep scores and falling asleep times, and determine subsequent go-to-bed times adaptively between earlier bedtimes and the optimum bedtime window.

System integrating wearable device and mobile communication device for sleep optimization

A system comprising a wearable electronic device, a mobile communication device, and a processing module operable to receive measurement data, determine sleep scores based on circadian rhythm and sleep duration, provide bedtime instructions based on analyzed sleep scores, and adjust go-to-bed times sequentially towards an optimum bedtime window.

In summary, the claims cover an adaptive sleep monitoring approach that personalizes sleep score determination based on physiological data and circadian rhythm, identifies an optimum bedtime window, and provides dynamic feedback to the user for gradually adjusting bedtime to improve sleep quality.

Stated Advantages

Provides a gradual adjustment of sleep patterns to achieve optimal bed and wake-up times without causing stress around sleeping hours.

Offers an adaptive, reliable, and personalized sleep pattern by considering user health and daily activities.

Enables a seamless, interactive, and stress-free method of improving sleep quality and efficiency.

Supports feedback based on daily variations and changing activities such as travel, work schedule, and physical activity.

Documented Applications

Monitoring and improving personal sleep patterns through wearable and mobile devices that collect physiological data and provide personalized bedtime recommendations.

Adapting sleep schedules in response to travel across time zones and circadian rhythm shifts.

Providing user feedback via mobile communication devices to guide optimal bedtime windows aimed at increasing sleep quality and efficiency.

Using a guiding program that considers user activities such as exercise, meal times, and stress to improve bedtime adherence.

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