Sleep quality scoring and improvement

• US 10,517,527 B2
• Filed: 09/16/2016
• Issued: 12/31/2019
• Est. Priority Date: 09/16/2016
• Status: Active Grant

• Current Assignee: Bose Corporation
• Original Assignee: Bose Corporation
• Inventors: Ware, Laura, Freed, Jonathan, Read, Jack, Reich, Debra, Keshavan, Leela, Mulcahey, Brian David
• Primary Examiner(s): Abreu, Michael J D
• Application Number:
  US15/267,464
• Publication Number:
  US 20180078197A1
• Time in Patent Office: 1,201 Days
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 2560/0252 using ambient temperature
• CPC Class Codes: A61B 2560/0257 using atmospheric pressure
• CPC Class Codes: A61B 2560/0475 Special features of memory means, e.g. removable memory cards
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1115 Monitoring leaving of a patient support, e.g. a bed or a wheelchair
• CPC Class Codes: A61B 5/113 occurring during breathing
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4815 Sleep quality
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 7/003 Detecting lung or respiration noise
• CPC Class Codes: A61B 7/04 Electric stethoscopes microphones, acoustic transducers therefor H04R
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A sleep scoring device is provided for, including a contactless biometric sensor, a processor, memory, and a microphone. The sleep scoring device may detect a user'"'"'s sleep state by reading signals from the contactless biometric sensor based on at least one of a detected change in heartrate, body movement, or respiration, and log the biometric information. The sleep scoring device may also generate a sleep score for a sleep session based on the latency of the sleep session, the number of detected waking events, the amount of REM sleep, the amount of deep sleep, or the number of times the snooze button was pressed during the sleep session.

Claims

1. A sleep scoring device comprising:

a contactless biometric sensor for determining at least one of a heart rate, a respiratory rate, a presence of a user, or movement of the user;

a processor;

memory; and

a microphone;

wherein said processor is configured to, during a sleep session, detect the user'"'"'s sleep state by reading signals from said contactless biometric sensor based on at least one of a detected change in heartrate, body movement, or respiration, log information in a sleep record, including biometric information relating to the quality of the user'"'"'s sleep and environmental factors that may affect the quality of the user'"'"'s sleep,

generate and display a numerical sleep score for said sleep session based on consistency of the logged information with corresponding information logged on previous days, and

generate a sleep consistency report based on the sleep record, the sleep consistency report illustrating comparative sleep data of the user over multiple days as graphical representations of sleep patterns of the user, each graphical representation being representative of sleep patterns of the user in a single sleep session.

2. The sleep scoring device of claim 1, wherein said processor is further configured to detect sleep stages and to log a start time and a stop time of said sleep stages in said sleep record.

3. The sleep scoring device of claim 2, wherein said sleep stages comprise at least one of REM sleep, N-REM sleep, deep sleep, light sleep, stage 1 sleep, stage 2 sleep, stage 3 sleep, or stage 4 sleep.

4. The sleep scoring device of claim 3, wherein said environmental factors comprise one or more of temperature, noise levels, air pressure, air pollution, or light levels.

5. The sleep scoring device of claim 4, wherein said processor is further configured to record detected sounds when sounds are detected at or near a same time as a detected wake-up event of the user.

6. The sleep scoring device of claim 1, wherein said processor is further configured to log one or more sleep start times and one or more sleep stop times.

7. The sleep scoring device of claim 6, wherein said processor is further configured to detect the user'"'"'s presence in a sleep space and to log a time the user entered the sleep space in said sleep record.

8. The sleep scoring device of claim 1, wherein said processor is further configured to receive information regarding at least one of said environmental factors from an external database.

9. The sleep scoring device of claim 8, wherein said external database comprises a weather database, a health database, a fitness database, or a calendar database.

10. The sleep scoring device of claim 1, wherein said processor is further configured to generate the sleep score based on at least one of a detected duration of the sleep or the quality of the sleep.

11. The sleep scoring device of claim 10, wherein the quality of the sleep is determined based on one or more of a detected latency of the sleep session, a number of detected waking events during the sleep session, an amount of REM sleep detected during the sleep session, an amount of deep sleep detected during the sleep session, or a number of times a snooze button was pressed during the sleep session.

12. The sleep scoring device of claim 1, wherein said processor is further configured to solicit external sleep factors from the user.

13. The sleep scoring device of claim 1, wherein said processor is further configured to analyze information in said sleep record and to identify potential corollaries between instances of sub-optimal sleep and said biometric information, said environmental factors, or external sleep factors.

14. The sleep scoring device of claim 1, wherein said processor is further configured to generate the sleep score based on at least on a number of times a snooze button was pressed during the sleep session.

15. A method for monitoring and scoring sleep comprising:

receiving a plurality of biometric readings of a user from a contactless biometric sensor;

recording said plurality of biometric readings within a sleep record;

determining said user'"'"'s sleep state based on said plurality of biometric readings;

logging said user'"'"'s sleep state within said sleep record;

determining and displaying a numerical sleep score based, at least in part, on consistency of the logged information with corresponding information logged on previous days; and

generating a sleep consistency report based on the sleep record, the sleep consistency report illustrating comparative sleep data of the user over multiple days, the sleep consistency report including graphical representations of sleep patterns of the user for multiple respective days, each graphical representation being representative of sleep patterns of the user in a single sleep session.

16. The method for monitoring and scoring sleep of claim 15, further comprising detecting said user'"'"'s presence in a sleep space based on said plurality of biometric readings and recording the user'"'"'s presence in said sleep record.

17. The method for monitoring and scoring sleep of claim 16, further comprising detecting sleep stages based on said plurality of biometric readings and recording said sleep stages in said sleep record.

18. The method for monitoring and scoring sleep of claim 17, wherein said sleep stages comprise at least one of REM sleep, N-REM sleep, deep sleep, light sleep, stage 1 sleep, stage 2 sleep, stage 3 sleep, or stage 4 sleep.

19. The method for monitoring and scoring sleep of claim 15, further comprising:

receiving a plurality of environmental readings including at least one of a sound level, a light level, an air quality reading, or a temperature; and

recording said plurality of environmental readings in the sleep record.

20. The method for monitoring and scoring sleep of claim 19, further comprising receiving external sleep factors and recording them in said sleep record.

21. The method for monitoring and scoring sleep of claim 20, further comprising analyzing information in said sleep record and identifying potential corollaries between instances of sub-optimal sleep and said plurality of environmental readings, said plurality of biometric readings, or said external sleep factors.

22. A sleep monitoring and scoring system comprising:

a biometric sensor;

a microphone;

memory; and

a processor, coupled to the biometric sensor, the memory, and the microphone, the processor being configured to detect a user'"'"'s sleep state during a sleep session by reading signals from said contactless biometric sensor based on at least one of a detected change in heartrate, body movement, or respiration, and wherein said processor is further configured to log information in a sleep record, including biometric information relating to the quality of a user'"'"'s sleep and environmental factors that may affect the quality of a user'"'"'s sleep, to generate and display a numerical sleep score for said sleep session based on consistency of the logged information with corresponding information logged on previous days, and to generate a sleep consistency report based on the sleep record, the sleep consistency report illustrating comparative sleep data of the user over multiple days, the sleep consistency report including graphical representations of sleep patterns of the user for multiple respective days, each graphical representation being representative of sleep patterns of the user in a single sleep session.