Inflatable air mattress snoring detection and response and related methods

Information

  • Patent Grant
  • 11160683
  • Patent Number
    11,160,683
  • Date Filed
    Thursday, May 19, 2016
    8 years ago
  • Date Issued
    Tuesday, November 2, 2021
    3 years ago
Abstract
A method can be provided that includes measuring sound waves using a sound measuring device, determining, at a central controller of an air mattress system, one or more parameter values of the sound waves, comparing the one or more parameter values with values, ranges, or patterns indicative of snoring, identifying a snoring state of a user, and initiating, with the central controller, a change to one or more adjustable features of the air mattress system.
Description
TECHNICAL FIELD

This patent document pertains generally to mattress systems and more particularly, but not by way of limitation, to an inflatable air mattress system.


BACKGROUND

Air bed systems, such as the one described in U.S. Pat. No. 5,904,172 which is incorporated herein by reference in its entirety, generally allow a user to select a desired pressure for each air chamber within the mattress. Upon selecting the desired pressure, a signal is sent to a pump and valve assembly in order to inflate or deflate the air bladders as necessary in order to achieve approximately the desired pressure within the air bladders.


In various examples, an air mattress control system allows a user to adjust the firmness or position of an air mattress bed. The mattress may have more than one zone thereby allowing a left and right side of the mattress to be adjusted to different firmness levels. Additionally, the bed may be adjustable to different positions. For example, the head section of the bed may be raised up while the foot section of the bed stays in place. In various examples, two separate remote controls are used to adjust the position and firmness, respectively.


A common problem experienced by many people is snoring. Snoring can not only result in poor sleep quality and potential health issues, but it can also disturb another person who is sleeping in the same room, such as a spouse sleeping in the same bed. Some people deal with the problem by waking the snorer up in order to stop the snoring. However, the snorer often begins snoring again after going back to sleep. Moreover, waking the snorer also interrupts the snorer's sleep.





BRIEF DESCRIPTION OF DRAWINGS

Some embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings in which:



FIG. 1 is a diagrammatic representation of an air bed system, according to an example.



FIG. 2 is a block diagram of various components of the air bed system of FIG. 1, according to an example.



FIG. 3 is a block diagram of an air bed system architecture, according to an example.



FIG. 4 is a block diagram of a machine in the example form of a computer system within which a set instructions, for causing the machine to perform any one or more of the methodologies discussed herein, may be executed.



FIG. 5 is a flow diagram depicting an example method of detecting snoring of a user using biometric parameters, in accordance with various techniques of this disclosure.



FIG. 6 is a flow diagram depicting an example method of detecting snoring of a user using sound waves, in accordance with various techniques of this disclosure.



FIG. 7 is a flow diagram depicting an example method of making adjustments to a room environment or a bed in response to detecting snoring of a user, in accordance with various techniques of this disclosure.



FIG. 8 is a diagrammatic representation of a sleep profile report generated on a laptop computer, in accordance with various techniques of this disclosure.





DETAILED DESCRIPTION


FIG. 1 is a diagrammatic representation of an air bed system 10 in an example embodiment. The system 10 can include a bed 12, which can comprise at least one air chamber 14 surrounded by a resilient border 16 and encapsulated by bed ticking 18. The resilient border 16 can comprise any suitable material, such as foam.


As illustrated in FIG. 1, the bed 12 can be a two chamber design having a first air chamber 14A and a second air chamber 14B. The first and second air chambers 14A and 14B can be in fluid communication with a pump 20. The pump 20 can be in electrical communication with a remote control 22 via a control box 24. The remote control 22 can communicate via wired or wireless means with the control box 24. The control box 24 can be configured to operate the pump 20 to cause increases and decreases in the fluid pressure of the first and second air chambers 14A and 14B based upon commands input by a user through the remote control 22. The remote control 22 can include a display 26, output selecting means 28, a pressure increase button 29, and a pressure decrease button 30. The output selecting means 28 can allow the user to switch the pump output between the first and second air chambers 14A and 14B, thus enabling control of multiple air chambers with a single remote control 22. For example, output selecting means may by a physical control (e.g., switch or button) or an input control displayed on the display 26. Alternatively, separate remote control units can be provided for each air chamber and may each include the ability to control multiple air chambers. The pressure increase and decrease buttons 29 and 30 can allow a user to increase or decrease the pressure, respectively, in the air chamber selected with the output selecting means 28. Adjusting the pressure within the selected air chamber can cause a corresponding adjustment to the firmness of the air chamber.



FIG. 2 is a block diagram detailing data communication between certain components of the air bed system 10 according to various examples. As shown in FIG. 2, the control box 24 can include a power supply 34, a processor 36, memory 37, a switching means 38, and an analog to digital (A/D) converter 40. The switching means 38 can be, for example, a relay or a solid state switch. The switching means 38 can be located in the pump 20 rather than the control box 24.


The pump 20 and the remote control 22 can be in two-way communication with the control box 24. The pump 20 can include a motor 42, a pump manifold 43, a relief valve 44, a first control valve 45A, a second control valve 45B, and a pressure transducer 46, and can be fluidly connected with the first air chamber 14A and the second air chamber 14B via a first tube 48A and a second tube 48B, respectively. The first and second control valves 45A and 45B can be controlled by the switching means 38, and can be operable to regulate the flow of fluid between the pump 20 and the first and second air chambers 14A and 14B, respectively.


In an example, the pump 20 and the control box 24 can be provided and packaged as a single unit. Alternatively, the pump 20 and the control box 24 can be provided as physically separate units.


In operation, the power supply 34 can receive power, such as 110 VAC power, from an external source and can convert the power to various forms required by certain components of the air bed system 10. The processor 36 can be used to control various logic sequences associated with operation of the air bed system 10, as will be discussed in further detail below.


The example of the air bed system 10 shown in FIG. 2 contemplates two air chambers 14A and 14B and a single pump 20. However, other examples may include an air bed system having two or more air chambers and one or more pumps incorporated into the air bed system to control the air chambers. In an example, a separate pump can be associated with each air chamber of the air bed system or a pump may be associated with multiple chambers of the air bed system. Separate pumps can allow each air chamber to be inflated or deflated independently and simultaneously. Furthermore, additional pressure transducers can also be incorporated into the air bed system such that, for example, a separate pressure transducer can be associated with each air chamber. Additionally, one or both of the chambers 14A and 14B can include multiple separate bladders or “zones” within the chamber, such as one bladder for the head and one bladder for the body.


In the event that the processor 36 sends a decrease pressure command to one of the air chambers 14A or 14B, the switching means 38 can be used to convert the low voltage command signals sent by the processor 36 to higher operating voltages sufficient to operate the relief valve 44 of the pump 20 and open the control valves 45A or 45B. Opening the relief valve 44 can allow air to escape from the air chamber 14A or 14B through the respective air tube 48A or 48B. During deflation, the pressure transducer 46 can send pressure readings to the processor 36 via the A/D converter 40. The A/D converter 40 can receive analog information from the pressure transducer 46 and can convert the analog information to digital information useable by the processor 36. The processor 36 may send the digital signal to the remote control 22 to update the display 26 on the remote control in order to convey the pressure information to the user.


In the event that the processor 36 sends an increase pressure command, the pump motor 42 can be energized, sending air to the designated air chamber through the air tube 48A or 48B via electronically operating the corresponding valve 45A or 45B. While air is being delivered to the designated air chamber in order to increase the firmness of the chamber, the pressure transducer 46 can sense pressure within the pump manifold 43. Again, the pressure transducer 46 can send pressure readings to the processor 36 via the A/D converter 40. The processor 36 can use the information received from the A/D converter 40 to determine the difference between the actual pressure in the air chamber 14A or 14B and the desired pressure. The processor 36 can send the digital signal to the remote control 22 to update the display 26 on the remote control in order to convey the pressure information to the user.


Generally speaking, during an inflation or deflation process, the pressure sensed within the pump manifold 43 provides an approximation of the pressure within the air chamber. An example method of obtaining a pump manifold pressure reading that is substantially equivalent to the actual pressure within an air chamber is to turn off the pump 20, allow the pressure within the air chamber 14A or 14B and the pump manifold 43 to equalize, and then sense the pressure within the pump manifold 43 with the pressure transducer 46. Thus, providing a sufficient amount of time to allow the pressures within the pump manifold 43 and the chamber 14A or 14B to equalize may result in pressure readings that are accurate approximations of the actual pressure within the air chamber 14A or 14B. In various examples, the pressure of 48A/B is continuously monitored using multiple pressure sensors.


In an example, another method of obtaining a pump manifold pressure reading that is substantially equivalent to the actual pressure within an air chamber is through the use of a pressure adjustment algorithm. In general, the method can function by approximating the air chamber pressure based upon a mathematical relationship between the air chamber pressure and the pressure measured within the pump manifold 43 (during both an inflation cycle and a deflation cycle), thereby eliminating the need to turn off the pump 20 in order to obtain a substantially accurate approximation of the air chamber pressure. As a result, a desired pressure setpoint within the air chamber 14A or 14B can be achieved without the need for turning the pump 20 off to allow the pressures to equalize. The latter method of approximating an air chamber pressure using mathematical relationships between the air chamber pressure and the pump manifold pressure is described in detail in U.S. application Ser. No. 12/936,084, the entirety of which is incorporated herein by reference.



FIG. 3 illustrates an example air bed system architecture 300. The architecture 300 includes a bed 301, e.g., an inflatable air mattress, a central controller 302, a firmness controller 304, an articulation controller 306, a temperature controller 308 in communication with one or more temperature sensors 309, an external network device 310, remote controllers 312, 314, and a voice controller 316. In addition to providing for the input of vocal commands, the voice controller 316 can also be used for detecting snoring of a sleeper as described in further detail below. Thus, the voice controller 316 can include any detection means capable of detecting sound waves, such as a microphone. While described as using an air bed, the system architecture may also be used with other types of beds.


As illustrated in FIG. 3, the central controller 302 includes the firmness controller 304 and a pump 305. The system architecture 300 is configured as a star topology with the central controller 302 and the firmness controller 304 functioning as the hub and the articulation controller 306, the temperature controller 308, the external network device 310, the remote controllers 312, 314, and the voice controller 316 functioning as possible spokes, also referred to herein as components. Thus, in various examples, the central controller 302 acts a relay between the various components.


In yet another example, central controller 302 listens to communications (e.g., control signals) between components even if the communication is not being relayed through central controller 302. For example, consider a user sending a command using remote 312 to temperature controller 308. Central controller 302 may listen for the command and check to determine if instructions are stored at central controller 302 to override the command (e.g., it conflicts with a previous setting). Central controller 302 may also log the command for future use (e.g., determining a pattern of user preferences for the components).


In other examples, different topologies may be used. For example, the components and the central controller 302 may be configured as a mesh network in which each component may communicate with one or all of the other components directly, bypassing the central controller 302. In various examples, a combination of topologies may be used. For example, the remote controller 312 may communicate directly to the temperature controller 308 but also relay the communication to the central controller 302.


In various examples, the controllers and devices illustrated in FIG. 3 may each include a processor, a storage device, and a network interface. The processor may be a general purpose central processing unit (CPU) or application-specific integrated circuit (ASIC). The storage device may include volatile or non-volatile static storage (e.g., Flash memory, RAM, EPROM, etc.). The storage device may store instructions which, when executed by the processor, configure the processor to perform the functionality described herein. For example, a processor of the firmness controller 304 may be configured to send a command to a relief valve to decrease the pressure in a bed.


In various examples, the network interface of the components may be configured to transmit and receive communications in a variety of wired and wireless protocols. For example, the network interface may be configured to use the 802.11 standards (e.g., 802.11a/b/c/g/n/ac), PAN network standards such as 802.15.4 or Bluetooth, infrared, cellular standards (e.g., 3G/4G etc.), Ethernet, and USB for receiving and transmitting data. The previous list is not intended to be exhaustive and other protocols may be used. Not all components of FIG. 3 need to be configured to use the same protocols. For example, the remote controller 312 may communicate with the central controller 302 via Bluetooth while the temperature controller 308 and the articulation controller 306 are connected to the central controller using 802.15.4. Within FIG. 3, the lightning connectors represent wireless connections and the solid lines represent wired connections, however, the connections between the components is not limited to such connections and each connection may be wired or wireless. For example, the voice controller 316 can be connected wirelessly to the central controller 302.


Moreover, in various examples, the processor, storage device, and network interface of a component may be located in different locations than various elements used to effect a command. For example, as in FIG. 1, the firmness controller 302 may have a pump that is housed in a separate enclosure than the processor used to control the pump. Similar separation of elements may be employed for the other controllers and devices in FIG. 3.


In various examples, the firmness controller 304 is configured to regulate pressure in an air mattress. For example, the firmness controller 304 may include a pump such as described with reference to FIG. 2 (see e.g., pump 20). Thus, in an example, the firmness controller 304 may respond to commands to increase or decrease pressure in the air mattress. The commands may be received from another component or based on stored application instructions that are part of the firmness controller 304.


As illustrated in FIG. 3, the central controller 302 includes the firmness controller 304. Thus, in an example, the processor of the central controller 302 and the firmness controller 304 may be the same processor. Furthermore, the pump may also be part of the central controller 302. Accordingly, the central controller 302 may be responsible for pressure regulation as well as other functionality as described in further portions of this disclosure.


In various examples, the articulation controller 306 is configured to adjust the position of a bed mattress (e.g., bed 301) by adjusting a foundation 307 that supports the bed mattress. In an example, the bed 301 can include a single foundation 307 configured to adjust the position of a bed having a single mattress. In another example, the bed 301 can include two side-by-side foundations 307 configured to operate in tandem to adjust the position of a bed having a single mattress. In yet another example, the bed 301 can include two side-by-side mattresses supported by two side-by-side foundations 307, wherein the foundations 307 are operable independently such that separate positions may be set for the two different mattresses of the bed 301. The foundation 307 may include more than one zone, e.g., a head portion 318 and a foot portion 320, which may be independently adjusted. The articulation controller 306 may also be configured to provide different levels of massage to a person on the bed.


In various examples, the temperature controller 308 is configured to increase, decrease, or maintain the temperature of a user. For example, a pad may be placed on top of or be part of the air mattress. Air may be pushed through the pad and vented to cool off a user of the bed. Conversely, the pad may include a heating element that may be used to keep the user warm. In various examples, the pad includes the temperature sensor 309 and the temperature controller 308 receives temperature readings from the temperature sensor 309. In other examples, the temperature sensor 309 can be separate from the pad, e.g., part of the air mattress or foundation. Alternatively or in addition, a blanket can be provided having similar functionality to the pad.


In various examples, additional controllers may communicate with the central controller 302. These controllers may include, but are not limited to, illumination controllers for controlling the power status (e.g., on or off) or intensity of light elements 311 and 322A-F placed on and around the bed, audio/visual controllers for controlling the power status or volume of one or more audio/visual components 313 located near the bed, thermostat controllers for controlling a temperature setting of a thermostat device 315, and outlet controllers for controlling power to one or more power outlets 336. In an example, the light elements 311 and 322A-F can be network controlled lights.


In various examples, the external network device 310, the remote controllers 312, 314 and the voice controller 316 may be used to input commands (e.g., from a user or remote system) to control one or more components of the system architecture 300. The commands may be transmitted from one of the controllers 312, 314, or 316 and received in the central controller 302. The central controller 302 may process the command to determine the appropriate component to route the received command. For example, each command sent via one of controllers 312, 314, or 316 may include a header or other metadata that indicates which component the command is for. The central controller 302 may then transmit the command via the central controller 302's network interface to the appropriate component.


For example, a user may input a desired temperature for the user's bed into the remote controller 312. The desired temperature may be encapsulated in a command data structure that includes the temperature as well as identifies the temperature controller 308 as the desired component to be controlled. The command data structure may then be transmitted via Bluetooth to the central controller 302. In various examples, the command data structure is encrypted before being transmitted. The central controller 302 may parse the command data structure and relay the command to the temperature controller 308 using a PAN. The temperature controller 308 may then configure its elements to increase or decrease the temperature of the pad depending on the temperature originally input into the remote controller 312.


In one example implementation, the central controller 302 can detect user presence using temperature changes detected in the mattress, e.g., using one or more temperature sensors positioned in or on the mattress. The temperature sensors and the central controller 302 can detect a rise in temperature, e.g., over a specified period of time, and determine that a user is present in the bed. For example, if the central controller 302 detects a rise in temperature and then determines that the detected rise in temperature was not caused by the system's temperature controller 308, the central controller 302 can determine that the user is present.


In various examples, data may be transmitted from a component back to one or more of the remote controllers. For example, the current temperature as determined by a sensor element of the temperature controller 308, e.g., the temperature sensor 309, the pressure of the bed, the current position of the foundation or other information may be transmitted to the central controller 302. The central controller 302 may then transmit the received information and transmit it to the remote controller 312 where it may be displayed to the user.


In various examples, multiple types of devices may be used to input commands to control the components of the architecture 300. For example, the remote controller 312 may be a mobile device such as a smart phone or tablet computer running an application. Other examples of the remote controller 312 may include a dedicated device for interacting with the components described herein. In various examples, the remote controllers 312/314 include a display device for displaying an interface to a user. The remote controller 312/314 may also include one or more input devices. Input devices may include, but are not limited to, keypads, touchscreen, gesture, motion and voice controls.


The remote controller 314 may be a single component remote configured to interact with one component of the mattress architecture. For example, the remote controller 314 may be configured to accept inputs to increase or decrease the air mattress pressure. The voice controller 316 may be configured to accept voice commands to control one or more components. In various examples, more than one of the remote controllers 312/314 and the voice controller 316 may be used.


With respect to the remote controller 312, the application may be configured to pair with one or more central controllers. For each central controller, data may be transmitted to the mobile device that includes a list of components linked with the central controller. For example, consider that the remote controller 312 is a mobile phone and that the application has been authenticated and paired with the central controller 302. The remote controller 312 may transmit a discovery request to the central controller 302 to inquire about other components and available services. In response, the central controller 302 may transmit a list of services that includes available functions for adjusting the firmness of the bed, position of the bed, and temperature of the bed. In various embodiments, the application may then display functions for increasing/decreasing pressure of the air mattress, adjusting positions of the bed, and adjusting temperature. If components are added/removed to the architecture under control of the central controller 302, an updated list may be transmitted to the remote controller 312 and the interface of the application may be adjusted accordingly.


In various examples, the central controller 302 is configured as a distributor of software updates to components in the architecture 300. For example, a firmware update for the temperature controller 308 may become available. The update may be loaded into a storage device of the central controller 302 (e.g., via a USB interface or using wireless techniques). In wireless applications, the central controller 302 may, for example, receive updates from the cloud either from wifi or from a mobile connection over Bluetooth. The central controller 302 may then transmit the update to the temperature controller 308 with instructions to update. The temperature controller 308 may attempt to install the update. A status message may be transmitted from the temperature controller 308 to the central controller 302 indicating the success or failure of the update.


In various examples, the central controller 302 is configured to analyze data collected by a pressure transducer (e.g., the transducer 46 with respect to FIG. 2) to determine various states of a person lying on the bed 301. For example, the central controller 302 may determine the heart rate, respiration rate, or movement of a person lying in the bed 301. Additional processing may be done using the collected data to determine a possible sleep state of the person. For example, the central controller 302 may determine when a person falls asleep and, while asleep, the various sleep states of the person. The collected data may also be used to determine when a person is snoring. In another example, rather than performing the data analysis in the central controller 302, a digital signal processor (DSP) can be provided to analyze the data collected by the pressure transducer. Alternatively, the data collected by the pressure transducer could be sent to a cloud-based computing system for remote analysis.


In various examples, the external network device 310 includes a network interface to interact with an external server for processing and storage of data related to components in the architecture 300. For example, the determined sleep data as described above may be transmitted via a network (e.g., the Internet) from the central controller 302 to the external network device 310 for storage. In an example, the pressure transducer data may be transmitted to the external server for additional analysis. The external network device 310 may also analyze and filter the data before transmitting it to the external server.


In an example, diagnostic data of the components may also be routed to the external network device 310 for storage and diagnosis on the external server. For example, if the temperature controller 308 detects an abnormal temperature reading (e.g., a drop in temperature over one minute that exceeds a set threshold) diagnostic data (sensor readings, current settings, etc.) may be wireless transmitted from the temperature controller 308 to the central controller 302. The central controller 302 may then transmit this data via USB to the external network device 310. The external network device 310 may wirelessly transmit the information to an WLAN access point where it is routed to the external server for analysis.


In one example, the bed system architecture 300 can include one or more bed lights 322A-322F (referred to collectively in this disclosure as “bed lights 322”) to illuminate a portion of a room, e.g., when a user gets out of the bed 301. The lights 322 can be attached around the foundation 307, e.g., affixed to the foundation around its perimeter. In FIG. 3, the lights 322 are depicted as extending around two sides of the foundation 307. In other configurations, the lights 322 can extend around more than two sides of the foundation 307, or only a single side. In one example implementation, the lights 322 can be positioned underneath the foundation 307 to project light outwardly from the foundation 307. The bed system architecture 300 can also include one or more lights 311 that are not positioned on the bed, such as overhead lights or bedside lamps. The bed system architecture 300 can provide for the control of both the bed lights 322 and the surrounding room lights 311.


Example Machine Architecture and Machine-Readable Medium



FIG. 4 is a block diagram of a machine in the example form of a computer system 400 within which instructions, for causing the machine to perform any one or more of the methodologies discussed herein, may be executed. In alternative embodiments, the machine operates as a standalone device or may be connected (e.g., networked) to other machines. In a networked deployment, the machine may operate in the capacity of a server or a client machine in a server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. The machine may be a personal computer (PC), a tablet PC, a set-top box (STB), a Personal Digital Assistant (PDA), a cellular telephone, a web appliance, a network router, switch or bridge, or any machine capable of executing instructions (sequential or otherwise) that specify actions to be taken by that machine. Further, while only a single machine is illustrated, the term “machine” shall also be taken to include any collection of machines that individually or jointly execute a set (or multiple sets) of instructions to perform any one or more of the methodologies discussed herein.


The example computer system 400 includes a processor 402 (e.g., a central processing unit (CPU), a graphics processing unit (GPU), ASIC or a combination), a main memory 404 and a static memory 406, which communicate with each other via a bus 408. The computer system 400 may further include a video display unit 410 (e.g., a liquid crystal display (LCD) or a cathode ray tube (CRT)). The computer system 400 also includes an alphanumeric input device 412 (e.g., a keyboard and/or touchscreen), a user interface (UI) navigation device 414 (e.g., a mouse), a disk drive unit 416, a signal generation device 418 (e.g., a speaker) and a network interface device 420.


Machine-Readable Medium


The disk drive unit 416 includes a machine-readable medium 422 on which is stored one or more sets of instructions and data structures (e.g., software) 424 embodying or utilized by any one or more of the methodologies or functions described herein. The instructions 424 may also reside, completely or at least partially, within the main memory 404 and/or within the processor 402 during execution thereof by the computer system 400, the main memory 404 and the processor 402 also constituting machine-readable media.


While the machine-readable medium 422 is shown in an example embodiment to be a single medium, the term “machine-readable medium” may include a single medium or multiple media (e.g., a centralized or distributed database, and/or associated caches and servers) that store the one or more instructions or data structures. The term “machine-readable medium” shall also be taken to include any tangible medium that is capable of storing, encoding or carrying instructions for execution by the machine and that cause the machine to perform any one or more of the methodologies of the present invention, or that is capable of storing, encoding or carrying data structures utilized by or associated with such instructions. The term “machine-readable medium” shall accordingly be taken to include, but not be limited to, solid-state memories, and optical and magnetic media. Specific examples of machine-readable media include non-volatile memory, including by way of example semiconductor memory devices, e.g., Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), and flash memory devices; magnetic disks such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks.


Transmission Medium


The instructions 424 may further be transmitted or received over a communications network 426 using a transmission medium. The instructions 424 may be transmitted using the network interface device 420 and any one of a number of well-known transfer protocols (e.g., HTTP). Examples of communication networks include a local area network (“LAN”), a wide area network (“WAN”), the Internet, mobile telephone networks, Plain Old Telephone (POTS) networks, and wireless data networks (e.g., WiFi and WiMax networks). The term “transmission medium” shall be taken to include any intangible medium that is capable of storing, encoding or carrying instructions for execution by the machine, and includes digital or analog communications signals or other intangible media to facilitate communication of such software.


Snoring Detection Techniques


In addition to the techniques described above, this disclosure is directed to techniques for detection of various aspects of a user of the system architecture 300. For example, and as described in further detail below, user snoring can be detected using various techniques described in this disclosure


In a first technique for snoring detection, the system architecture 300 can detect biometric parameters of a user such as motion, respiration, and heartbeat. These biometric parameters can be detected both while the user is awake and while the user is sleeping. In various examples, the biometric parameters can be used to determine a sleep state of the user and whether the user is snoring. Techniques for monitoring a user's sleep using heart rate information, respiration rate information, and other user information are disclosed in U.S. Patent Application Publication No. 20100170043 to Steven J. Young et al., titled “APPARATUS FOR MONITORING VITAL SIGNS,” the entire content of which is incorporated herein by reference. After snoring is detected, the system architecture 300 and, in particular, the central controller 302, can make one or more adjustments to the sleep environment or the bed 301 as will be discussed in further detail below. In an example, the user can instruct the system architecture 300 to monitor for snoring after the user falls asleep and to initiate specific changes to the sleep environment or the bed 301 upon detection of snoring. In another example, the system architecture 300 can automatically, e.g., without user instruction, monitor for snoring and determine what changes should be made, if any, to the sleep environment or the bed 301. In yet another example, when two users are lying on the bed 301 side-by-side, the system architecture 300 can determine which of the users is snoring and initiate the changes to that user's side of the bed.


In accordance with this disclosure, the central controller 302, or another processing means associated with the bed 301, can detect user sleeping motion, respiration, and heartbeat via pressure changes. For example, the pressure transducer 46 (of FIG. 2) can be used to monitor the air pressure in the air mattress of the bed 301. If the user on the air mattress is not moving, the air pressure changes in the mattress can be relatively minimal, and can be attributable to respiration and heartbeat. When the user on the air mattress is moving, however, the air pressure in the mattress can fluctuate by a much larger amount. Thus, the pressure signals generated by the pressure transducer 46 and received by the central controller 302 can be filtered and indicated as corresponding to motion, heartbeat, or respiration.


In one example implementation, the central controller 302 can execute instructions that cause the pressure transducer 46 to measure air pressure values at a predefined sample rate. The central controller 302 can store the pressure signals in a memory device. Processing of the pressure signals can be performed by the central controller 302, or at a location remote from the bed 301, such as on a processor of a smartphone, a mobile device, or a cloud-based computing system.


As indicated above, the central controller 302 can determine a user's sleep state, e.g., rapid eye movement (“REM”) or non-rapid eye movement (“NREM”), by using one or more of the biometric parameters. In an example, the central controller 302 can execute instructions to monitor the snoring state of the user only after the user has reached a particular sleep state.



FIG. 5 is a flow diagram depicting an example method (500) of detecting snoring using biometric parameters. In FIG. 5, the central controller 302 executes instructions that cause a pressure sensing means, such as the pressure transducer 46 of FIG. 2, to measure pressure variations (502). In an example, the pressure can be measured continuously or at a predetermined sample rate. The central controller 302 can analyze the pressure changes detected by the pressure sensing means (504). Using information derived from these analyzed pressure changes, one or more biometric parameters can be determined (506). After determining the one or more biometric parameters of the user, the central controller 302 can compare the biometric parameters with predetermined values, ranges, or patterns which are indicative of snoring (508). In this manner, the central controller 302 can identify snoring by the user (510). After user snoring has been identified, the central controller 302 can continue to monitor the user (512) to determine if the snoring ceases, becomes more severe, becomes less severe, or remains at a substantially constant level.


As previously mentioned, in some example implementations, the techniques for detecting the user's sleep state can be combined with the techniques for detecting snoring using biometric parameters. For example, prior to monitoring pressure changes using the pressure sensing means to determine whether the user is snoring, the central controller 302 can determine whether the user has reached a predetermined sleep state. Thus, determining that the user has reached the predetermined state of sleep can be a prerequisite to instructing the central controller 302 to perform the method 500 described above. Alternatively, the central controller 302 can execute instructions to monitor sleep state and pressure changes simultaneously or substantially simultaneously, and the combined results can be used to determine whether the user is snoring.


In another technique for snoring detection, the system architecture 300 can be configured to detect snoring by monitoring sound waves through a microphone, which can be included in the voice controller 316 as discussed above. In various examples, the system architecture 300 can also be configured to detect snoring by monitoring a combination of both sound waves and biometric parameters. In general, snoring sounds are formed when tissues in the user's throat vibrate as air if flowing through the throat during sleep. In one example implementation, the central controller 302 can execute instructions that cause the voice controller 316 to monitor sound waves generated by the user, and to store the corresponding sound wave signals in a memory device. Processing of the sound wave signals can be performed by the central controller 302, or at a location remote from the bed 301. A snoring state can be determined by monitoring parameters such as the audible level of the sound waves, the frequency of the sound waves, sound wave patterns, and the like. For example, sound waves generated during normal conversation levels of a user may be 40 decibels or less, while sound waves generated by the user's snoring may be in the range of 60-90 decibels or more. By analyzing the sound waves generated by the user, the presence, intensity, duration, and patterns of snoring can be determined.



FIG. 6 is a flow diagram depicting an example method (600) of detecting snoring using sound waves. In FIG. 6, the central controller 302 executes instructions that cause the voice controller 316 to measure sound waves (602). In an example, the sound waves can be measured continuously or at a predetermined sample rate. The central controller 302 can determine baseline parameters of the sound waves (604) when the user is falling asleep. Then, the central controller 302 can monitor for changes in the current audible level, frequency, and wave patterns (606). If the central controller 302 detects one or more changes with respect to the baseline parameters, the central controller 302 can compare the current parameters with predetermined values or ranges of audible levels and frequencies, as well wave patterns, which are indicative of snoring (608). In this manner, the central controller 302 can identify snoring by the user (610). After user snoring has been identified, the central controller 302 can continue to monitor the user (612) to determine if the snoring ceases, becomes more severe, becomes less severe, or remains at a substantially constant level.


Once again, in some example implementations, the techniques for detecting the user's sleep state can be combined with the techniques for detecting snoring using sound waves. For example, prior to monitoring sound waves using the voice controller 316 to determine whether the user is snoring, the central controller 302 can determine whether the user has reached a predetermined sleep state. Thus, determining that the user has reached the predetermined state of sleep can be a prerequisite to instructing the central controller 302 to perform the method 600 described above. Alternatively, the central controller 302 can execute instructions to monitor sleep state and sound waves simultaneously or substantially simultaneously, and the combined results can be used to determine whether the user is snoring.


Snoring Detection Response Techniques



FIG. 7 is a flow diagram depicting an example method (700) of initiating one or more adjustments upon detecting that a user is snoring. In FIG. 7, the central controller 302 executes instructions to determine whether the user is snoring (702). Various examples include, but are not limited to, detecting snoring based on analysis of biometric parameters or based on sound waves. When user snoring has been detected, the system architecture 300 and, in particular, the central controller 302, can execute instructions that cause one or more adjustments to the sleep environment and/or the bed 301 to be implemented (704). A non-exhaustive listing and discussion of these various changes is provided below. When the snoring ceases, the central controller 302 can optionally execute instructions that cause one or more of the previous adjustments made to the sleep environment and/or the bed 301 to revert back to the pre-snoring state or condition (706). These optional “re-adjustments” can occur immediately upon detecting that the snoring has ceased, or after a predetermined amount of time has passed since the last snore has been detected.


In an example, the central controller 302 can execute instructions that cause the firmness controller 304 to adjust pressure in the air mattress of the bed 301 when snoring is detected (704). For example, the central controller 302 can provide commands to the firmness controller 304 to increase or decrease pressure in the air mattress, via the pump 305, to a level that can help relieve the snoring. If the system architecture 300 detects that snoring continues even after the pressure in the air mattress has been modified, the central controller 302 can provide additional commands to the firmness controller 304 to further adjust the pressure in the air mattress. Thus, the process of adjusting pressure in the air mattress of the bed 301 to relieve snoring can be iterative. Additionally, if the air mattress includes multiple bladders corresponding to separate zones as discussed above, the central controller 302 can execute instructions that cause the firmness controller 304 to adjust pressure in one or more selected zones, such as the zone corresponding to the head of the user.


In another example, the central controller 302 can execute instructions that cause an adjustment to be made to the foundation 307 when snoring is detected (704). As discussed above, the foundation 307 may include more than one zone, such as a head portion 318 and a foot portion 320, which may be independently adjusted. The user may fall asleep with the foundation 307 in a “flat” position, or with the head portion 318 and/or the foot portion 320 in a raised, articulated position. In various examples, the bed 301 can include a “snore” position defined by a predetermined articulation of the foundation 307. It has been found that, in some cases, snoring can be reduced or prevented by elevating the head of the snoring user by a small amount, which can reduce vibration of the soft tissue in the user's throat. The slight elevation of the snoring user's head can also induce the snorer to change his or her sleeping position, which can cause the snoring to stop. In an example, the snore position can include the head portion 318 being raised at a preset angle θ relative to horizontal. In an example, the angle θ can be from about 5° to about 15° from horizontal, such as about 7°. However, any angle θ that can help reduce or eliminate vibration of soft tissue within the throat of the user can be used. In various examples, the snore position can be customizable to a particular user based on the amount of articulation that is found to help relieve snoring in that user. For example, a large, heavy-set user may require a larger inclination angle than a thin, petite user. Thus, pre-programmed snore positions can be updated in accordance with user preferences and body types.


In another example, the central controller 302 can execute instructions that cause the temperature controller 308 to adjust a temperature of the bed 301 when snoring is detected (704). As discussed above, in various examples, the temperature of the bed 301 (and thus, the user) can be regulated using a pad placed on top of the mattress, a blanket placed on top of the user, or heating/cooling elements incorporated into the mattress, such as a heating/cooling pad integrated into the mattress. Certain users may tend to snore more or less depending on their body temperature and the temperature of the surroundings, such as the bed 301. Thus, heating up or cooling down the bed 301 can help some users find relief from snoring. For example, the temperature of the sleeping surface of the bed 301 could be lowered from 20° Celsius to 18° Celsius when snoring is detected. However, any temperature change, whether positive or negative, can be utilized. Similarly, the central controller 302 can execute instructions that cause the thermostat device 315 to adjust the temperature of the surrounding environment, such as the bedroom where the bed 301 is located, when snoring is detected (704). In view of the foregoing, user temperature can be regulated through use of the temperature controller 308, the thermostat device 315, or both.


The level of light and sound in a bedroom environment can affect the depth and quality of sleep for a user. Thus, when the goal is to alleviate snoring and provide a more restful night of sleep, light and sound can also be controlled to provide an ideal set of sleep conditions. In another example, the central controller 302 can execute instructions for controlling the power status (e.g., on or off) or intensity of light elements 311 or 322A-F placed on and around the bed, and/or for controlling the power status or volume of one or more audio/visual components 313 located near the bed, when snoring is detected (704).


Sleep Profile Reporting


In accordance with the present disclosure, the system architecture 300 can also enable feedback related to snoring to be provided to the user. In various examples, the snoring information processed and analyzed by the central controller 302 can be provided to the user in various formats and to various devices.


In an example, the central controller 302 can execute instructions that cause a sleep profile report to be generated and transmitted to one or more of the remote controller 312, the remote controller 314, or an external computing device such as, for example, a personal computer (PC), a tablet PC, a Personal Digital Assistant (PDA), or the like. The external computing device can be operably coupled to the bed 301 via any suitable network connection, including those previously described.



FIG. 8 is a diagram illustrating a sleep profile report 800 generated on a laptop computer 802. In an example, the sleep profile report 800 can indicate the total amount of time that the user was asleep during the night (or day). The sleep profile report 800 can also indicate the times at which the user fell asleep and woke up. The total amount of time that the user was asleep can be determined using any suitable technique, including monitoring pressure changes in an air mattress as discussed above and deriving the sleep time from information related to the user's state of sleep throughout the night. As further shown in FIG. 8, the sleep profile report 800 can quantify the amount of time that the user was found to be snoring while asleep during the night. In various examples, the snoring duration can be presented as a total number of hours and minutes, as a percentage, or both.


Sleep profile reports 800 can be stored in memory associated with the system architecture 300 for recall at a later time. In an example, the central controller 302 can execute instructions that cause the sleep profile report 800 to display the amount of sleep that a user has averaged over a specified number of days, and the amount of snoring that the user has averaged during that time. For example, the sleep profile report 800 shows average sleep and snoring over the previous 30 days. However, a number of days greater than or less than 30 can also be used.


Although various embodiments have been described with reference to specific example embodiments, it will be evident that various modifications and changes may be made to these embodiments without departing from the broader spirit and scope of the invention. Accordingly, the specification and drawings are to be regarded in an illustrative rather than a restrictive sense. The accompanying drawings that form a part hereof, show by way of illustration, and not of limitation, specific embodiments in which the subject matter may be practiced. The embodiments illustrated are described in sufficient detail to enable those skilled in the art to practice the teachings disclosed herein. Other embodiments may be utilized and derived therefrom, such that structural and logical substitutions and changes may be made without departing from the scope of this disclosure. This Detailed Description, therefore, is not to be taken in a limiting sense, and the scope of various embodiments is defined only by the appended claims, along with the full range of equivalents to which such claims are entitled. As is common, the terms “a” and “an” may refer to one or more unless otherwise indicated.

Claims
  • 1. A method of operating a bed system, the method comprising: receiving, by a control system, pressure signals obtained from pressure sensors for sensing internal pressure of an air mattress;Determining, by the control system, pressure change values for the air mattress using the received pressure signals;analyzing the pressure change values to determine one or more of a heart rate, a respiration rate, or positional movement for a user on the air mattress;submitting one or more of the determined heart rate, respiration rate, or positional movement to a comparison in which the submitted one or more of the determined heart rate, respiration rate, or positional movement are tested for being indicative of snoring;determining that the user on the air mattress is snoring based on the comparison in which the one or more of the determined heart rate, respiration rate, or positional movement are tested; andtransmitting, in response to determining that the user is snoring, at least one instruction to adjust a position of at least a portion of the air mattress.
  • 2. The method of claim 1, wherein the at least one instruction to adjust a position of at least a portion of the air mattress is transmitted to a position controller for an adjustable foundation that supports the air mattress.
  • 3. The method of claim 1 wherein adjusting a position of at least a portion of the air mattress includes changing a position of at least a portion of an adjustable foundation that supports the air mattress.
  • 4. The method of claim 1, wherein the at least one instruction to adjust a position of at least a portion of the air mattress is an instruction to adjust a head position of the air mattress without adjusting a foot position of the air mattress.
  • 5. The method of claim 1, wherein the at least one instruction to adjust a position of at least a portion of the air mattress is an instruction to adjust a head position of an adjustable foundation that supports the air mattress.
  • 6. The method of claim 1, wherein the at least one instruction to adjust a position of at least a portion of the air mattress is an instruction to adjust an internal pressure of the air mattress.
  • 7. The method of claim 1, further comprising transmitting, in response to determining that the user is snoring, at least one instruction to adjust a temperature of the user's sleep environment.
  • 8. The method of claim 1, further comprising transmitting, in response to determining that the user is snoring, at least one instruction to adjust a sound volume of an audio device located in the user's sleep environment.
  • 9. The method of claim 1, wherein the at least one instruction to adjust a position of at least a portion of the air mattress is an instruction to adjust a vibration of the air mattress.
  • 10. The method of claim 1, wherein: the air mattress is supported by an adjustable foundation;the air mattress is operatively connected to a pump; andthe pressure sensors are positioned within the pump.
  • 11. The method of claim 1, further comprising: receiving, additional pressure signals obtained from the pressure sensors for sensing internal pressure of the air mattress;determining additional pressure change values for the air mattress using the received additional pressure signals;analyzing the additional pressure change values to determine one or more biometric parameters for an additional user on the air mattress;comparing the one or more biometric parameters for the additional user with predetermined values, the predetermined values being indicative of snoring;determining that the additional user on the air mattress is not snoring based on comparing the one or more biometric parameters for the additional user with the predetermined values; andtransmitting, in response to determining that the user is snoring and that the additional user is not snoring, at least one instruction to adjust a position of at least a portion of the air mattress supporting the user.
  • 12. The method of claim 1, further comprising: prior to submitting the one or more of the determined heart rate, respiration rate, or positional movement to the comparison in which the submitted one or more of the determined heart rate, respiration rate, or positional movement are tested for being indicative of snoring: receiving, by the control system, other pressure signals obtained from the pressure sensors;determining, by the control system, other pressure change values for the air mattress using the other received pressure signals;analyzing the other pressure change values to determine one or more biometric parameters for the user on the air mattress; anddetermining that the user has reached a predetermined sleep state based on the one or more biometric parameters for the user on the air mattress;wherein submitting the one or more of the determined heart rate, respiration rate, or positional movement to the comparison is performed in response to determining that the user has reached the predetermined sleep state.
  • 13. The method of claim 12, wherein determining that the user has reached the predetermined sleep state includes: comparing the one or more biometric parameters for the user to one or more predetermined values indicative of the predetermined sleep state.
  • 14. The method of claim 1, further comprising: receiving additional pressure signals obtained from the pressure sensors for sensing internal pressure of the air mattress;determining additional pressure change values for the air mattress using the received additional pressure signals;analyzing the additional pressure change values to determine one or more biometric parameters for the user on the air mattress;comparing the one or more biometric parameters with predetermined values, the predetermined values being indicative of snoring;determining that the user on the air mattress is no longer snoring based on comparing the one or more biometric parameters with the predetermined values; andtransmitting, in response to determining that the user is no longer snoring and after a predetermined amount of time has passed since determining that the user is no longer snoring, at least one instruction to adjust the position of at least the portion of the air mattress supporting the user to a previous position.
  • 15. The method of claim 1, wherein submitting one or more of the determined heart rate, respiration rate, or positional movement to the comparison comprises comparing the determined heart rate to one or more predetermined values.
  • 16. The method of claim 1, wherein submitting one or more of the determined heart rate, respiration rate, or positional movement to the comparison comprises comparing the determined respiration rate to one or more predetermined values.
  • 17. The method of claim 1, wherein submitting one or more of the determined heart rate, respiration rate, or positional movement to the comparison comprises comparing the determined positional movement to one or more predetermined values.
  • 18. A method of operating a bed system, the method comprising: receiving, by a control system, pressure signals obtained from pressure sensors for sensing internal pressure of an air mattress;determining, by the control system, pressure change values for the air mattress using the received pressure signals;analyzing the pressure change values to determine one or more of a heart rate, a respiration rate, or positional movement for a user on the air mattress;comparing one or more of the determined heart rate, respiration rate, or positional movement with one or more predetermined values, the one or more predetermined values being indicative of snoring;determining that the user on the air mattress is snoring based on comparing one or more of the determined heart rate, respiration rate, or positional movement with the one or more predetermined values; andtransmitting, in response to determining that the user is snoring, at least one instruction to adjust a parameter of a device within the user's sleep environment.
  • 19. The method of claim 18 wherein the at least one instruction to adjust a parameter of a device within the user's sleep environment is at least one instruction to adjust a sound volume of an audio device located in the user's sleep environment.
  • 20. The method of claim 18 wherein the at least one instruction to adjust a parameter of a device within the user's sleep environment is at least one instruction to adjust a temperature of a thermostat device that controls temperature in the user's sleep environment.
  • 21. The method of claim 18 wherein the at least one instruction to adjust a parameter of a device within the user's sleep environment is at least one instruction to adjust a head position of a sleep surface associated with the air mattress.
  • 22. The method of claim 18, further comprising: prior to comparing the one or more of the determined heart rate, respiration rate, or positional movement with one or more predetermined values: receiving, by the control system, other pressure signals obtained from the pressure sensors;determining, by the control system, other pressure change values for the air mattress using the other received pressure signals;analyzing the other pressure change values to determine one or more biometric parameters for the user on the air mattress; anddetermining that the user has reached a predetermined sleep state based on the one or more biometric parameters for the user on the air mattress;wherein comparing the one or more biometric parameters with the one or more predetermined values is performed in response to determining that the user has reached the predetermined sleep state.
  • 23. The method of claim 22, wherein determining that the user has reached the predetermined sleep state includes: comparing the one or more biometric parameters for the user to one or more predetermined values indicative of the predetermined sleep state.
  • 24. The method of claim 18, wherein comparing one or more of the determined heart rate, respiration rate, or positional movement with one or more predetermined values comprises comparing the determined heart rate to the one or more predetermined values.
  • 25. The method of claim 18, wherein comparing one or more of the determined heart rate, respiration rate, or positional movement with one or more predetermined values comprises comparing the determined respiration rate to the one or more predetermined values.
  • 26. The method of claim 18, wherein comparing one or more of the determined heart rate, respiration rate, or positional movement with one or more predetermined values comprises comparing the determined positional movement to the one or more predetermined values.
  • 27. A tangible, non-transitory recordable medium having recorded thereon instructions, that when executed, cause a computing system to perform actions that comprise: receiving, by a control system, pressure signals obtained from pressure sensors for sensing internal pressure of an air mattress;determining, by the control system, pressure change values for the air mattress using the received pressure signals;analyzing the pressure change values to determine one or more of a heart rate, a respiration rate, or positional movement for a user on the air mattress;comparing one or more of the determined heart rate, respiration rate, or positional movement with one or more predetermined values, the one or more predetermined values being indicative of snoring;determining that the user on the air mattress is snoring based on comparing one or more of the determined heart rate, respiration rate, or positional movement with the one or more predetermined values; andtransmitting, in response to determining that the user is snoring, at least one instruction to adjust a position of at least a portion of the air mattress.
CROSS-REFERENCES

This Application claims the benefit of priority to U.S. Provisional Application No. 61/782,394, filed on Mar. 14, 2013, the disclosure of which is incorporated herein in its entirety by reference. The subject matter described in this application is related to subject matter disclosed in the following applications: U.S. Application Ser. No. 61/781,266, filed on Mar. 14, 2013, entitled “INFLATABLE AIR MATTRESS ALARM AND MONITORING SYSTEM”; U.S. Application Ser. No. 61/781,503, filed on Mar. 14, 2013, entitled “INFLATABLE AIR MATTRESS SYSTEM ARCHITECTURE”; U.S. Application Ser. No. 61/781,541, filed on Mar. 14, 2013, entitled “INFLATABLE AIR MATTRESS AUTOFILL AND OFF BED PRESSURE ADJUSTMENT”; U.S. Application Ser. No. 61/781,571, filed on Mar. 14, 2013, entitled “INFLATABLE AIR MATTRESS SLEEP ENVIRONMENT ADJUSTMENT AND SUGGESTIONS”; U.S. Application Ser. No. 61/781,296, filed on Mar. 14, 2013, entitled “INFLATABLE AIR MATTRESS WITH LIGHT AND VOICE CONTROLS”; U.S. Application Ser. No. 61/781,311, filed on Mar. 14, 2013, entitled “INFLATABLE AIR MATTRESS SYSTEM WITH DETECTION TECHNIQUES.” The contents of each of the above-referenced U.S. patent applications are herein incorporated by reference in their entirety.

US Referenced Citations (392)
Number Name Date Kind
3727606 Sielaff Apr 1973 A
3998209 Macvaugh Dec 1976 A
4146885 Lawson, Jr. Mar 1979 A
4299233 Lemelson Nov 1981 A
4657026 Tagg Apr 1987 A
4662012 Tarbet May 1987 A
4766628 Walker Aug 1988 A
4788729 Walker Dec 1988 A
4829616 Walker May 1989 A
4890344 Walker Jan 1990 A
4897890 Walker Feb 1990 A
4908895 Walker Mar 1990 A
4982466 Higgins et al. Jan 1991 A
4991244 Walker Feb 1991 A
5020176 Dotson Jun 1991 A
5062169 Kennedy et al. Nov 1991 A
5144706 Walker et al. Sep 1992 A
5170522 Walker Dec 1992 A
5197490 Steiner et al. Mar 1993 A
5459452 DePonte Oct 1995 A
5487196 Wilkinson et al. Jan 1996 A
5509154 Shafer et al. Apr 1996 A
5515865 Scanlon May 1996 A
5551418 Estes Sep 1996 A
5564140 Shoenhair et al. Oct 1996 A
5642546 Shoenhair Jul 1997 A
5652484 Shafer et al. Jul 1997 A
5675855 Culp Oct 1997 A
5684460 Scanlon Nov 1997 A
5699038 Ulrich et al. Dec 1997 A
5724990 Ogino Mar 1998 A
5765246 Shoenhair Jun 1998 A
5771511 Kummer et al. Jun 1998 A
5796340 Miller Aug 1998 A
5844488 Musick Dec 1998 A
5848450 Oexman et al. Dec 1998 A
5903941 Shafer et al. May 1999 A
5904172 Gifft et al. May 1999 A
5948303 Larson Sep 1999 A
5964720 Pelz Oct 1999 A
5989193 Sullivan Nov 1999 A
6024699 Surwit et al. Feb 2000 A
6037723 Shafer et al. Mar 2000 A
6058537 Larson May 2000 A
6062216 Corn May 2000 A
6079065 Luff et al. Jun 2000 A
6094762 Viard et al. Aug 2000 A
6108844 Kraft et al. Aug 2000 A
6120441 Griebel Sep 2000 A
6146332 Pinsonneault et al. Nov 2000 A
6147592 Ulrich et al. Nov 2000 A
6161231 Kraft et al. Dec 2000 A
6202239 Ward et al. Mar 2001 B1
6208250 Dixon et al. Mar 2001 B1
6234642 Bokaemper May 2001 B1
6272378 Baumgart-Schmitt Aug 2001 B1
6386201 Fard May 2002 B1
6396224 Luff et al. May 2002 B1
6397419 Mechache Jun 2002 B1
6438776 Ferrand et al. Aug 2002 B2
6450957 Yoshimi et al. Sep 2002 B1
6468234 Ford et al. Oct 2002 B1
6483264 Shafer et al. Nov 2002 B1
6485441 Woodward Nov 2002 B2
6546580 Shimada Apr 2003 B2
6547743 Brydon Apr 2003 B2
6561047 Gladney May 2003 B1
6566833 Bartlett May 2003 B2
6643875 Boso et al. Nov 2003 B2
6686711 Rose et al. Feb 2004 B2
6698432 Ek Mar 2004 B2
6708357 Gaboury et al. Mar 2004 B2
6719708 Jansen Apr 2004 B1
6763541 Mahoney et al. Jul 2004 B2
6778090 Newham Aug 2004 B2
6804848 Rose Oct 2004 B1
6832397 Gaboury et al. Dec 2004 B2
6840117 Hubbard, Jr. Jan 2005 B2
6840907 Brydon Jan 2005 B1
6847301 Olson Jan 2005 B1
6878121 Krausman Apr 2005 B2
6883191 Gaboury et al. Apr 2005 B2
6993380 Modarres Jan 2006 B1
7041049 Raniere May 2006 B1
7077810 Lange et al. Jul 2006 B2
7150718 Okada Dec 2006 B2
7237287 Weismiller et al. Jul 2007 B2
7253366 Bhai Aug 2007 B2
7304580 Sullivan et al. Dec 2007 B2
7314451 Halperin et al. Jan 2008 B2
7321811 Rawls-Meehan Jan 2008 B1
7330127 Price et al. Feb 2008 B2
7389554 Rose Jun 2008 B1
7396331 Mack Jul 2008 B2
7429247 Okada et al. Sep 2008 B2
7437787 Bhai Oct 2008 B2
7465280 Rawls-Meehan Dec 2008 B2
7480951 Weismiller Jan 2009 B2
7506390 Dixon et al. Mar 2009 B2
7520006 Menkedick et al. Apr 2009 B2
7524279 Auphan Apr 2009 B2
7532934 Lee et al. May 2009 B2
7538659 Ulrich May 2009 B2
7568246 Weismiller et al. Aug 2009 B2
7631377 Sanford Dec 2009 B1
7637859 Lindback et al. Dec 2009 B2
7652581 Gentry et al. Jan 2010 B2
7666151 Sullivan et al. Feb 2010 B2
7669263 Menkedick et al. Mar 2010 B2
7676872 Block et al. Mar 2010 B2
7685663 Rawls-Meehan Mar 2010 B2
7698761 Neuenswander et al. Apr 2010 B2
7699784 Wan et al. Apr 2010 B2
7717848 Heruth et al. May 2010 B2
7749154 Cornel Jul 2010 B2
7784128 Kramer Aug 2010 B2
7785257 Mack et al. Aug 2010 B2
7805785 Rawls-Meehan Oct 2010 B2
7841031 Rawls-Meehan Nov 2010 B2
7849545 Flocard et al. Dec 2010 B2
7854031 Rawls-Meehan Dec 2010 B2
7860723 Rawls-Meehan Dec 2010 B2
7862523 Ruotoistenmaki Jan 2011 B2
7865988 Koughan et al. Jan 2011 B2
7868757 Radivojevic et al. Jan 2011 B2
7869903 Turner et al. Jan 2011 B2
7930783 Rawls-Meehan Apr 2011 B2
7933669 Rawls-Meehan Apr 2011 B2
7953613 Gizewski May 2011 B2
7954189 Rawls-Meehan Jun 2011 B2
7956755 Lee et al. Jun 2011 B2
7967739 Auphan Jun 2011 B2
7979169 Rawls-Meehan Jul 2011 B2
8019486 Rawls-Meehan Sep 2011 B2
8020230 Rawls-Meehan Sep 2011 B2
8028363 Rawls-Meehan Oct 2011 B2
8032263 Rawls-Meehan Oct 2011 B2
8032960 Rawls-Meehan Oct 2011 B2
8046114 Rawls-Meehan Oct 2011 B2
8046115 Rawls-Meehan Oct 2011 B2
8046116 Rawls-Meehan Oct 2011 B2
8046117 Rawls-Meehan Oct 2011 B2
8050805 Rawls-Meehan Nov 2011 B2
8052612 Tang Nov 2011 B2
8065764 Kramer Nov 2011 B2
8069852 Burton Dec 2011 B2
8073535 Jung et al. Dec 2011 B2
8078269 Suzuki et al. Dec 2011 B2
8078336 Rawls-Meehan Dec 2011 B2
8078337 Rawls-Meehan Dec 2011 B2
8083682 Dalal et al. Dec 2011 B2
8090478 Skinner et al. Jan 2012 B2
8092399 Sasaki Jan 2012 B2
8094013 Lee Jan 2012 B1
8096960 Loree et al. Jan 2012 B2
8144001 D'Souza Mar 2012 B1
8146191 Bobey et al. Apr 2012 B2
8150562 Rawls-Meehan Apr 2012 B2
8166589 Hijlkema May 2012 B2
8181290 Brykalski et al. May 2012 B2
8181296 Rawls-Meehan May 2012 B2
8266742 Andrienko Sep 2012 B2
8272892 McNeely et al. Sep 2012 B2
8276585 Buckley Oct 2012 B2
8279057 Hirose Oct 2012 B2
8280748 Allen Oct 2012 B2
8281433 Riley et al. Oct 2012 B2
8282452 Grigsby et al. Oct 2012 B2
8284047 Collins, Jr. Oct 2012 B2
8287452 Young et al. Oct 2012 B2
8336369 Mahoney Dec 2012 B2
8341784 Scott Jan 2013 B2
8341786 Oexman et al. Jan 2013 B2
8348840 Heit et al. Jan 2013 B2
8350709 Receveur Jan 2013 B2
8375488 Rawls-Meehan Feb 2013 B2
8376954 Lange et al. Feb 2013 B2
8382484 Wetmore et al. Feb 2013 B2
8386008 Yuen et al. Feb 2013 B2
8398538 Dothie Mar 2013 B2
8403865 Halperin et al. Mar 2013 B2
8413274 Weismiller et al. Apr 2013 B2
8421606 Collins, Jr. et al. Apr 2013 B2
8428696 Foo Apr 2013 B2
8444558 Young et al. May 2013 B2
8491492 Shinar et al. Jul 2013 B2
8517953 Lange et al. Aug 2013 B2
8620615 Oexman Dec 2013 B2
8672853 Young Mar 2014 B2
8679034 Halperin et al. Mar 2014 B2
8769747 Mahoney et al. Jul 2014 B2
8840564 Pinhas et al. Sep 2014 B2
8909357 Rawls-Meehan Dec 2014 B2
8931329 Mahoney et al. Jan 2015 B2
8966689 McGuire et al. Mar 2015 B2
8973183 Palashewski et al. Mar 2015 B1
8984687 Stusynski et al. Mar 2015 B2
9370457 Nunn Jun 2016 B2
20020124311 Peftoulidis Sep 2002 A1
20020184711 Mahoney et al. Dec 2002 A1
20020189621 Ek Dec 2002 A1
20030045806 Brydon Mar 2003 A1
20030128125 Burbank et al. Jun 2003 A1
20030163874 Boso et al. Sep 2003 A1
20030166995 Jansen Sep 2003 A1
20030182728 Chapman et al. Oct 2003 A1
20030221261 Tarbet et al. Dec 2003 A1
20040049132 Barron et al. Mar 2004 A1
20050022606 Partin et al. Feb 2005 A1
20050038326 Mathur Feb 2005 A1
20050115561 Stahmann et al. Jun 2005 A1
20050190065 Ronholm Sep 2005 A1
20050190068 Gentry et al. Sep 2005 A1
20050283039 Cornel Dec 2005 A1
20060020178 Sotos et al. Jan 2006 A1
20060031996 Rawls-Meehan Feb 2006 A1
20060047217 Mirtalebi Mar 2006 A1
20060152378 Lokhorst Jul 2006 A1
20060162074 Bader Jul 2006 A1
20070049842 Hill et al. Mar 2007 A1
20070118054 Pinhas et al. May 2007 A1
20070149883 Yesha Jun 2007 A1
20070179334 Groves et al. Aug 2007 A1
20070180047 Dong et al. Aug 2007 A1
20070180618 Weismiller et al. Aug 2007 A1
20070276202 Raisanen et al. Nov 2007 A1
20080052837 Blumberg Mar 2008 A1
20080071200 Rawls-Meehan Mar 2008 A1
20080077020 Young et al. Mar 2008 A1
20080092291 Rawls-Meehan Apr 2008 A1
20080092292 Rawls-Meehan Apr 2008 A1
20080092293 Rawls-Meehan Apr 2008 A1
20080092294 Rawls-Meehan Apr 2008 A1
20080093784 Rawls-Meehan Apr 2008 A1
20080097774 Rawls-Meehan Apr 2008 A1
20080097778 Rawls-Meehan Apr 2008 A1
20080097779 Rawls-Meehan Apr 2008 A1
20080104750 Rawls-Meehan May 2008 A1
20080104754 Rawls-Meehan May 2008 A1
20080104755 Rawls-Meehan May 2008 A1
20080104756 Rawls-Meehan May 2008 A1
20080104757 Rawls-Meehan May 2008 A1
20080104758 Rawls-Meehan May 2008 A1
20080104759 Rawls-Meehan May 2008 A1
20080104760 Rawls-Meehan May 2008 A1
20080104761 Rawls-Meehan May 2008 A1
20080109959 Rawls-Meehan May 2008 A1
20080109964 Flocard et al. May 2008 A1
20080109965 Mossbeck May 2008 A1
20080115272 Rawls-Meehan May 2008 A1
20080115273 Rawls-Meehan May 2008 A1
20080115274 Rawls-Meehan May 2008 A1
20080115275 Rawls-Meehan May 2008 A1
20080115276 Rawls-Meehan May 2008 A1
20080115277 Rawls-Meehan May 2008 A1
20080115278 Rawls-Meehan May 2008 A1
20080115279 Rawls-Meehan May 2008 A1
20080115280 Rawls-Meehan May 2008 A1
20080115281 Rawls-Meehan May 2008 A1
20080115282 Rawls-Meehan May 2008 A1
20080120775 Rawls-Meehan May 2008 A1
20080120776 Rawls-Meehan May 2008 A1
20080120777 Rawls-Meehan May 2008 A1
20080120778 Rawls-Meehan May 2008 A1
20080120779 Rawls-Meehan May 2008 A1
20080120784 Warner et al. May 2008 A1
20080122616 Warner May 2008 A1
20080126122 Warner et al. May 2008 A1
20080126132 Warner May 2008 A1
20080127418 Rawls-Meehan Jun 2008 A1
20080127424 Rawls-Meehan Jun 2008 A1
20080147442 Warner Jun 2008 A1
20080162171 Rawls-Meehan Jul 2008 A1
20080189865 Bhai Aug 2008 A1
20080262657 Howell Oct 2008 A1
20080275314 Mack et al. Nov 2008 A1
20080281611 Rawls-Meehan Nov 2008 A1
20080281612 Rawls-Meehan Nov 2008 A1
20080281613 Rawls-Meehan Nov 2008 A1
20080288272 Rawls-Meehan Nov 2008 A1
20080288273 Rawls-Meehan Nov 2008 A1
20080306351 Izumi Dec 2008 A1
20080307582 Flocard et al. Dec 2008 A1
20090018853 Rawls-Meehan Jan 2009 A1
20090018854 Rawls-Meehan Jan 2009 A1
20090018855 Rawls-Meehan Jan 2009 A1
20090018856 Rawls-Meehan Jan 2009 A1
20090018857 Rawls-Meehan Jan 2009 A1
20090018858 Rawls-Meehan Jan 2009 A1
20090024406 Rawls-Meehan Jan 2009 A1
20090037205 Rawls-Meehan Feb 2009 A1
20090043595 Rawls-Meehan Feb 2009 A1
20090064420 Rawls-Meehan Mar 2009 A1
20090100599 Rawls-Meehan Apr 2009 A1
20090121660 Rawls-Meehan May 2009 A1
20090139029 Rawls-Meehan Jun 2009 A1
20090203972 Henehgan et al. Aug 2009 A1
20090275808 DiMaio et al. Nov 2009 A1
20090314354 Chaffee Dec 2009 A1
20100025900 Rawls-Meehan Feb 2010 A1
20100090383 Rawls-Meehan Apr 2010 A1
20100094139 Brauers et al. Apr 2010 A1
20100099954 Dickinson et al. Apr 2010 A1
20100152546 Behan et al. Jun 2010 A1
20100170043 Young Jul 2010 A1
20100170044 Kao et al. Jul 2010 A1
20100174198 Young et al. Jul 2010 A1
20100174199 Young et al. Jul 2010 A1
20100191136 Wolford Jul 2010 A1
20100199432 Rawls-Meehan Aug 2010 A1
20100231421 Rawls-Meehan Sep 2010 A1
20100302044 Chacon et al. Dec 2010 A1
20100317930 Oexman et al. Dec 2010 A1
20110001622 Gentry Jan 2011 A1
20110010014 Oexman et al. Jan 2011 A1
20110015495 Dothie et al. Jan 2011 A1
20110041592 Schmoeller et al. Feb 2011 A1
20110068935 Riley et al. Mar 2011 A1
20110087113 Mack et al. Apr 2011 A1
20110094041 Rawls-Meehan Apr 2011 A1
20110115635 Petrovski et al. May 2011 A1
20110138539 Mahoney et al. Jun 2011 A1
20110144455 Young et al. Jun 2011 A1
20110156915 Brauers et al. Jun 2011 A1
20110163885 Poulos et al. Jul 2011 A1
20110224510 Oakhill Sep 2011 A1
20110239374 Rawls-Meehan Oct 2011 A1
20110252569 Rawls-Meehan Oct 2011 A1
20110258784 Rawls-Meehan Oct 2011 A1
20110282216 Shinar et al. Nov 2011 A1
20110283462 Rawls-Meehan Nov 2011 A1
20110291795 Rawls-Meehan Dec 2011 A1
20110291842 Oexman Dec 2011 A1
20110295083 Doelling Dec 2011 A1
20110302720 Yakam et al. Dec 2011 A1
20110306844 Young Dec 2011 A1
20120017371 Pollard Jan 2012 A1
20120025992 Tallent et al. Feb 2012 A1
20120053423 Kenalty et al. Mar 2012 A1
20120053424 Kenalty et al. Mar 2012 A1
20120056729 Rawls-Meehan Mar 2012 A1
20120057685 Rawls-Meehan Mar 2012 A1
20120090698 Giori et al. Apr 2012 A1
20120110738 Rawls-Meehan May 2012 A1
20120110739 Rawls-Meehan May 2012 A1
20120110740 Rawls-Meehan May 2012 A1
20120112890 Rawls-Meehan May 2012 A1
20120112891 Rawls-Meehan May 2012 A1
20120112892 Rawls-Meehan May 2012 A1
20120116591 Rawls-Meehan May 2012 A1
20120119886 Rawls-Meehan May 2012 A1
20120119887 Rawls-Meehan May 2012 A1
20120138067 Rawls-Meehan Jun 2012 A1
20120154155 Brasch Jun 2012 A1
20120186019 Rawls-Meehan Jul 2012 A1
20120198632 Rawls-Meehan Aug 2012 A1
20120204887 Connor Aug 2012 A1
20120240340 Driscoll et al. Sep 2012 A1
20120304391 Driscoll et al. Dec 2012 A1
20120311790 Nomura et al. Dec 2012 A1
20130160212 Oexman et al. Jun 2013 A1
20130174347 Oexman et al. Jul 2013 A1
20130227787 Herbst et al. Sep 2013 A1
20140007656 Mahoney Jan 2014 A1
20140047644 Mossbeck Feb 2014 A1
20140137332 McGuire et al. May 2014 A1
20140182061 Zaiss Jul 2014 A1
20140250597 Chen et al. Sep 2014 A1
20140257571 Chen et al. Sep 2014 A1
20140259417 Nunn et al. Sep 2014 A1
20140259418 Nunn et al. Sep 2014 A1
20140259419 Stusynski Sep 2014 A1
20140259431 Fleury Sep 2014 A1
20140259433 Nunn et al. Sep 2014 A1
20140259434 Nunn et al. Sep 2014 A1
20140277611 Nunn et al. Sep 2014 A1
20140277778 Nunn et al. Sep 2014 A1
20140277822 Nunn et al. Sep 2014 A1
20140313700 Connell et al. Oct 2014 A1
20150007393 Palashewski et al. Jan 2015 A1
20150025327 Young et al. Jan 2015 A1
20150026896 Fleury et al. Jan 2015 A1
20150136146 Hood et al. May 2015 A1
20150157137 Nunn et al. Jun 2015 A1
20150157519 Stusynski et al. Jun 2015 A1
20150182033 Brosnan et al. Jul 2015 A1
20150182397 Palashewski et al. Jul 2015 A1
20150182399 Palashewski et al. Jul 2015 A1
20150182418 Zaiss Jul 2015 A1
20150290059 Brosnan et al. Oct 2015 A1
20150374137 Mahoney et al. Dec 2015 A1
20160100696 Palashewski et al. Apr 2016 A1
Foreign Referenced Citations (3)
Number Date Country
1557270 Dec 2004 CN
101224149 Jul 2008 CN
2007-283106 Nov 2007 JP
Non-Patent Literature Citations (3)
Entry
International Search Report in International Application No. PCT/US2014/026568, dated May 26, 2014, 3 pages.
International Search Report in International Application No. PCT/US2014/027752, dated Jul. 15, 2014, 5 pages.
International Search Report in International Application No. PCT/US2014/028137, dated Jul. 7, 2014, 2 pages.
Related Publications (1)
Number Date Country
20160338871 A1 Nov 2016 US
Provisional Applications (1)
Number Date Country
61782394 Mar 2013 US
Continuations (1)
Number Date Country
Parent 14206841 Mar 2014 US
Child 15159194 US