Detecting sleeping disorders
Introduced are methods and systems for monitoring a person's sleeping patterns, and detecting episodes of sleeping disorders such as snoring and sleep apnea. In one embodiment, a sensor strip attached to the mattress monitors the user's breathing, and detects signature frequencies corresponding to snoring and sleep apnea. Once a sleeping disorder is detected, a notification can be sent to a device associated with the user, or the user's bed can be automatically adjusted to alleviate the sleeping disorder.
1. A system, comprising:
a bed frame comprising an adjustable section, wherein said bed frame is configured to adjust a position of said adjustable section;
a bed device associated with said bed frame, comprising a sensor, wherein said sensor is configured to detect a biological signal of a user of said bed device; and
a processor communicatively coupled to said bed frame and said sensor, wherein said processor is configured to direct said bed frame to adjust said position of said adjustable section of said bed frame based on (i) a history of said biological signal of said user and (ii) exercise data of said user.
2. The system of claim 1 , wherein said position of said adjustable section corresponds to a position of said bed device.
3. The system of claim 1 , wherein said bed frame comprises a plurality of adjustable sections, each independently having an adjustable position.
4. The system of claim 1 , wherein said processor is further configured to determine that said user has a sleep problem when said biological signal is outside of a predetermined range.
5. The system of claim 1 , wherein said processor is further configured to detect a sleep phase of said user based on said biological signal of said user and said history of said biological signal.
6. The system of claim 5 , wherein said processor is further configured to adjust said position of said adjustable section based on said sleep phase of said user.
7. The system of claim 1 , wherein said processor is configured to determine that said user has restless leg syndrome based on said biological signal of said user of said bed device and said history of said biological signal.
8. The system of claim 1 , further comprising a temperature control device operatively coupled to a portion of said bed device, configured to regulate a temperature of said portion of said bed device, wherein said processor is further communicatively coupled to said processor and configured to regulate said temperature of said portion of said bed device by said temperature control device based on said biological signal of said user of said bed device.
9. The system of claim 1 , wherein said bed device is a mattress or a mattress pad.
10. The system of claim 1 , wherein said position of said adjustable section comprises a height and/or an inclination of said adjustable section.
11. The system of claim 1 , wherein said biological signal of said user comprise one or more members selected from the group consisting of a heart signal, a breathing signal, a temperature, and a motion.
12. The system of claim 1 , wherein said history of said biological signal of said user comprises a set of measurements of said biological signal of said user during previous use of said bed device.
13. The system of claim 12 , wherein said set of measurements is from a plurality of previous uses of said bed device over at least a plurality of days.
14. The system of claim 1 , wherein said processor is configured to direct said bed frame to adjust said position of said adjustable section prior to a bedtime of said user.
15. The system of claim 14 , wherein said processor is configured to determine said bedtime based on (i) said history of said biological signal of said user and (ii) said exercise data.
16. The system of claim 14 , wherein said processor is configured to determine said bedtime based on analyzing (i) said exercise data and (ii) an additional historical exercise data of said user.
17. The system of claim 14 , wherein said processor is configured to determine said bedtime based on a discrepancy between (i) said exercise data and (ii) an additional historical exercise data of said user.
18. The system of claim 1 , wherein said exercise data comprises one or more members selected from the group consisting of an amount of exercise, a duration of exercise, a biological signal measured during exercising, and an amount of calories spent.
19. The system of claim 1 , wherein the history of said biological signal data is indicative of an average bedtime of said user.
20. The system of claim 1 , wherein said exercise data is from a user device.