Systems and methods for bedding with sleep diagnostics

• US 9,592,005 B2
• Filed: 01/27/2011
• Issued: 03/14/2017
• Est. Priority Date: 01/29/2010
• Status: Active Grant

• Current Assignee: Dreamwell Limited (Serta Simmons Bedding LLC)
• Original Assignee: Dreamwell Limited (Serta Simmons Bedding LLC)
• Inventors: Oakhill, Timothy
• Primary Examiner(s): Thomson, William
• Assistant Examiner(s): SANDS, DAVIN K
• Application Number:
  US13/015,399
• Publication Number:
  US 20110224510A1
• Time in Patent Office: 2,238 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: A47C 19/021 Bedstead frames
• CPC Class Codes: A47C 27/04 with spring inlays A47C27/20 takes precedence
• CPC Class Codes: A47C 31/00 Details or accessories for chairs, beds, or the like, not provided for in other groups of this subclass, e.g. upholstery fasteners, mattress protectors, stretching devices for mattress nets
• CPC Class Codes: A61B 2505/07 Home care
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 2562/029 Humidity sensors
• CPC Class Codes: A61B 2562/046 in a matrix array
• CPC Class Codes: A61B 2562/066 in a matrix array
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• 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 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• 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 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1113 Local tracking of patients, e.g. in a hospital or private home
• CPC Class Codes: A61B 5/1115 Monitoring leaving of a patient support, e.g. a bed or a wheelchair
• CPC Class Codes: A61B 5/1118 : Determining activity level
• CPC Class Codes: A61B 5/14542 : for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/411 : Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance
• CPC Class Codes: A61B 5/4809 : Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/4815 : Sleep quality
• CPC Class Codes: A61B 5/486 : Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/6891 : Furniture
• CPC Class Codes: A61B 5/6892 : Mats
• CPC Class Codes: A61B 5/7271 : Specific aspects of physiological measurement analysis A61B5/316, A61B5/349 and A61B5/374 take precedence
• CPC Class Codes: A61B 5/742 : using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/746 : Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: A61B 5/7475 : User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: A61M 2021/0083 : especially for waking up
• 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

Systems and methods described herein relate to a sleep diagnostic system including a mattress assembly, a plurality of sensors, data acquisition circuitry, an input device, a sleep processor, and a display device. The mattress assembly may have a sleeping surface, and the plurality of sensors may be disposed within the mattress assembly below the sleeping surface. The sensors are configured to measure at least one sleep condition and output data signals indicative of the sleep condition. The sleep processor receives signals from both the sensors and one or more other input devices, and determines a sleep characteristic based upon these received signals. The display device, which includes circuitry and a graphical user interface, receives the sleep characteristic from the sleep processor and displays it to the user.

Claims

1. A sleep diagnostic system, comprising:

a mattress assembly comprising a mattress and a foundation for supporting the mattress, the mattress including multiple layers including an innercore consisting of springs, foam support structures, and combinations thereof, the mattress having a sleeping surface,

a plurality of sensors disposed in contact with and within, or within the mattress assembly and below the sleeping surface, configured to measure at least one sleep condition based on a consumer laying on the mattress, and provide output data signals indicative of the at least one sleep condition, and wherein the plurality of sensors are at different vertical locations in contact with and within, or within the innercore of the mattress relative to the sleeping surface depending on the at least one sleep condition measured;

data acquisition circuitry in communication with at least one of the plurality of sensors for receiving the data signals, and with an external data source comprising mattress characteristics;

an input device having circuitry and a graphical user interface for receiving one or more input signals, wherein the one or more input signals comprise one or more physical conditions, sleep behaviors, one or more mattress preferences, and/or combinations thereof specific to the consumer;

a sleep processor, in communication with the data acquisition circuitry and the input device, having circuitry for generating a mattress recommendation based at least in part on the received data signals indicative of the at least one sleep condition, the external data, and the one or more input signals from the consumer, wherein the sleep processor is disposed within the mattress assembly and is configured to send the received data signals to a third party; and

a display device, in communication with the sleep processor, having circuitry and a graphical user interface for visually displaying the mattress recommendation along with additional information comprising quantitative or qualitative data related to the mattress or the at least one sleep condition to a user of the sleep diagnostic system, wherein the user is the consumer and/or a salesperson.

2. The sleep diagnostic system of claim 1, wherein the input device is located within a mobile unit.

3. The sleep diagnostic system of claim 1, wherein the display device is located within a mobile unit.

4. The sleep diagnostic system of claim 3, further comprising a transmitter disposed within the mattress assembly in communication with the sleep processor and configured to transmit the at least one sleep condition to the mobile device.

5. The sleep diagnostic system of claim 1, wherein the sleep processor is configured to generate the recommendation based in part on the user input.

6. The sleep diagnostic system of claim 1, wherein the sleep processor is configured to receive user input previously stored in a database.

7. The sleep diagnostic system of claim 1, further comprising a network interface for transmitting over a network at least one of data signals and a sleep characteristic to a third party.

8. The sleep diagnostic system of claim 7, wherein the third party sends at least one of a sleep characteristic or a recommendation to the network interface over the network.

9. The sleep diagnostic system of claim 7, wherein the third party is a healthcare service provider.

10. The sleep diagnostic system of claim 7, wherein the third party is a social networking website.

11. The sleep diagnostic system of claim 1, wherein the mattress assembly further comprises a removable cover in which at least one sleep sensor is disposed.

12. The sleep diagnostic system of claim 1, further comprising a database in communication with the sleep processor for storing at least one of sensor data, sleep characteristics, and recommendations.

13. The sleep diagnostic system of claim 1, wherein the input from the user includes at least one of a user'"'"'s environment, previous activities, and health.

14. The sleep diagnostic system of claim 1, wherein at least one sleep sensor is configured to measure at least one of movement, pressure, weight, stress, strain, temperature, humidity, light, noise, heart rate, breathing, blood oxygenation, blood pressure, and time in bed.

15. The sleep diagnostic system of claim 1, wherein at least one sleep sensor positioned near the head region of the mattress is configured for detecting breathing.

16. The sleep diagnostic system of claim 1, wherein at least one sleep sensor near the center of the mattress is configured for detecting weight.

17. The sleep diagnostic system of claim 1, wherein at least one sleep sensor near the foot region of the mattress is configured for detecting movement.

18. A sleep diagnostic method comprising:

receiving at an input device having circuitry and a graphical user interface one or more input signals from a user, wherein the one or more input signals comprise one or more physical conditions, sleep behaviors, one or more mattress preferences, and/or combinations thereof specific to a consumer, wherein the input device is in operative communication with a plurality of sensors and an external data source comprising mattress characteristics, wherein one of the plurality of sensors is disposed within a mattress assembly comprising a mattress and a foundation, the mattress comprising multiple layers including an innercore consisting of springs, foam support structures, and combinations thereof below a mattress sleeping surface, wherein the plurality of sensors are at different vertical locations in contact with and within, or within the innercore of the mattress relative to the sleeping surface depending on at least one sleep condition measured, the input device configured to measure the at least one sleep condition and provide output data signals indicative of the at least one sleep condition when the consumer lies on the mattress, wherein the at least one sleep condition comprises a weight, a weight distribution, and/or combinations thereof of the consumer, and wherein the graphical user interface is a mobile device;

receiving at data acquisition circuitry data signals indicative of the at least one sleep condition from at least one sleep sensor;

determining, at a sleep processor in communication with the data acquisition circuitry and the input device, at least one sleep characteristic based at least in part on the received data signals indicative of the at least one sleep condition, the external data source, and the one or more input signals from the user, wherein the sleep processor is disposed within a mattress assembly;

generating a mattress recommendation for the user based on the at least one sleep characteristic; and

displaying on a display device, in communication with the sleep processor, having circuitry and a graphical user interface the mattress recommendation along with additional information comprising quantitative or qualitative data related to the mattress recommendation or the at least one sleep condition to the user of the sleep diagnostic system, wherein the user is the consumer and/or a salesperson.

19. The sleep diagnostic method of claim 18, wherein the sleep processor is configured to generate the recommendation based in part on the user input.

20. The sleep diagnostic method of claim 18, further comprising receiving at the sleep processor user input previously stored in a database.

21. The sleep diagnostic method of claim 18, further comprising transmitting over a network at least one of data signals and a sleep characteristic to a third party.

22. The sleep diagnostic method of claim 21, further comprising transmitting by the third party over a network at least one of a sleep characteristic or a recommendation.

23. The sleep diagnostic method of claim 21, wherein the third party is a healthcare service provider.

24. The sleep diagnostic method of claim 21, wherein the third party is a social networking website.

25. The sleep diagnostic method of claim 18, wherein the input from the user includes at least one of a user'"'"'s environment, previous activities, and health.

26. The sleep diagnostic method of claim 18, further comprising measuring by a sleep sensor at least one of movement, pressure, weight, stress, strain, temperature, humidity, light, noise, heart rate, breathing, blood oxygenation, blood pressure, and time in bed.