This patent document pertains generally to mattresses and more particularly, but not by way of limitation, to an inflatable air mattress system.
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.
Some embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings in which:
As illustrated in
Pump 20 and remote control 22 can be in two-way communication with the control box 24. 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. First and second control valves 45A and 45B can be controlled by switching means 38, and can be operable to regulate the flow of fluid between pump 20 and first and second air chambers 14A and 14B, respectively.
In an example, pump 20 and control box 24 can be provided and packaged as a single unit. Alternatively, pump 20 and control box 24 can be provided as physically separate units.
In operation, 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. 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
In the event that the processor 36 sends a decrease pressure command to one of air chambers 14A or 14B, switching means 38 can be used to convert the low voltage command signals sent by processor 36 to higher operating voltages sufficient to operate relief valve 44 of pump 20 and open control valves 45A or 45B. Opening relief valve 44 can allow air to escape from air chamber 14A or 14B through the respective air tube 48A or 48B. During deflation, pressure transducer 46 can send pressure readings to processor 36 via the A/D converter 40. The A/D converter 40 can receive analog information from pressure transducer 46 and can convert the analog information to digital information useable by processor 36. Processor 36 may send the digital signal to remote control 22 to update display 26 on the remote control in order to convey the pressure information to the user.
In the event that processor 36 sends an increase pressure command, pump motor 42 can be energized, sending air to the designated air chamber through air tube 48A or 48B via electronically operating corresponding valve 45A or 45B. While air is being delivered to the designated air chamber in order to increase the firmness of the chamber, pressure transducer 46 can sense pressure within pump manifold 43. Again, pressure transducer 46 can send pressure readings to processor 36 via A/D converter 40. Processor 36 can use the information received from A/D converter 40 to determine the difference between the actual pressure in air chamber 14A or 14B and the desired pressure. Processor 36 can send the digital signal to remote control 22 to update 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 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 pump 20, allow the pressure within the air chamber 14A or 14B and pump manifold 43 to equalize, and then sense the pressure within pump manifold 43 with pressure transducer 46. Thus, providing a sufficient amount of time to allow the pressures within pump manifold 43 and chamber 14A or 14B to equalize may result in pressure readings that are accurate approximations of the actual pressure within 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 pump manifold 43 (during both an inflation cycle and a deflation cycle), thereby eliminating the need to turn off pump 20 in order to obtain a substantially accurate approximation of the air chamber pressure. As a result, a desired pressure setpoint within air chamber 14A or 14B can be achieved without the need for turning 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.
As illustrated in
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 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 central controller 302. In various examples, a combination of topologies may be used. For example, remote controller 312 may communicate directly to temperature controller 308 but also relay the communication to central controller 302.
In various examples, the controllers and devices illustrated in
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 exhaustive and other protocols may be used. Not all components of
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 affect a command. For example, as in
In various examples, firmness controller 304 is configured to regulate pressure in an air mattress. For example, firmness controller 304 may include a pump such as described with reference to
As illustrated in
In various examples, articulation controller 306 is configured to adjust the position of a bed (e.g., bed 301) by adjusting the foundation that supports the bed. In an example, separate positions may be set for two different beds (e.g., two twin beds placed next to each other). The foundation may include more than one zone that may be independently adjusted. Articulation control 306 may also be configured to provide different levels of massage to a person on the bed.
In various examples, 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 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.
In various examples, additional controllers may communicate with central controller 302. These controllers may include, but are not limited to, illumination controllers for turning on and off light elements placed on and around the bed and outlet controllers for controlling power to one or more power outlets.
In various examples, external network device 310, remote controllers 312, 314 and voice controller 316 may be used to input commands (e.g., from a user or remote system) to control one or more components of architecture 300. The commands may be transmitted from one of the controllers 312, 314, or 316 and received in central controller 302. 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. Central controller 302 may then transmit the command via central controller 302's network interface to the appropriate component. In some examples, the commands may be transmitted to one or more cloud-based servers for processing.
For example, a user may input a desired temperature for the user's bed into remote control 312. The desired temperature may be encapsulated in a command data structure that includes the temperature as well as identifies temperature controller 308 as the desired component to be controlled. The command data structure may then be transmitted via Bluetooth to central controller 302. In various examples, the command data structure is encrypted before being transmitted. Central controller 302 may parse the command data structure and relay the command to temperature controller 308 using a PAN. Temperature controller 308 may be then configured its elements to increase or decrease the temperature of the pad depending on the temperature originally input into remote control 312.
In various examples, data may be transmitted from a component back to one or more of the remote controls. For example, the current temperature as determined by a sensor element of temperature controller 308, e.g., temperature sensor 309, the pressure of the bed, the current position of the foundation or other information may be transmitted to central controller 302. Central controller 302 may then transmit the received information and transmit it to remote control 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 architecture 300. For example, remote control 312 may be a mobile device such as a smart phone or tablet computer running an application. Other examples of remote control 312 may include a dedicated device for interacting with the components described herein. In various examples, remote controls 312/314 include a display device for displaying an interface to a user. Remote control 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.
Remote control 314 may be a single component remote configured to interact with one component of the mattress architecture. For example, remote control 314 may be configured to accept inputs to increase or decrease the air mattress pressure. 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 controls 312/314 and voice controller 316 may be used.
With respect to remote control 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 remote control 312 is a mobile phone and that the application has been authenticated and paired with central controller 302. Remote control 312 may transmit a discovery request to central controller 302 to inquiry about other components and available services, e.g., services or components available in the cloud. In response, 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 central controller 302, an updated list may be transmitted to remote control 312 and the interface of the application may be adjusted accordingly.
In various examples, central controller 302 is configured as a distributor of software updates to components in architecture 300. For example, a firmware update for temperature controller 308 may become available. The update may be loaded into a storage device of central controller 302 (e.g., via a USB interface, a smartphone over Bluetooth, and from the cloud over WiFi). 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. Central controller 302 may then transmit the update to temperature controller 308 with instructions to update. Temperature controller 308 may attempt to install the update. A status message may be transmitted from temperature controller 308 to central controller 302 indicating the success or failure of the update.
In various examples, central controller 302 is configured to analyze data collected by a pressure transducer (e.g., transducer 46 with respect to
In various examples, external network device 310 includes a network interface to interact with an external server for processing and storage of data related to components in architecture 300. For example, the determined sleep data as described above may be transmitted via a network (e.g., the Internet) from central controller 302 to 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 external network device 310 for storage and diagnosis on the external server. For example, if 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 temperature controller 308 to central controller 302. Central controller 302 may then transmit this data via USB to external network device 310. External device 310 may wirelessly transmit the information to a WLAN access point where it is routed to the external server for analysis. In some examples, the external device 310 can transmit a message to a customer service division to initiate a repair call if necessary.
Example Machine Architecture and Machine-Readable Medium
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.
Detection Techniques
In addition to the techniques described above, this disclosure is directed to techniques for detection of various aspects of a user of system architecture 300. As described in more detail below, user sleeping motion, user presence, and/or user sleeping position can be detected using various techniques described in this disclosure
Regarding sleeping motion detection, the system architecture 300 can detect the motion of a user while the user is sleeping (“sleeping motion”) and determine from the detected motion the restlessness of the user. Using the determined restlessness, the system architecture 300 and, in particular, the central controller 302 can determine a sleep quality metric, index, number, or the like. In one example, the user can query the system architecture 300 to retrieve a previously determined sleep quality metric. In another example, the system architecture 300 can determine the sleep quality metric when queried by the user. In yet another example, the system architecture 300 can automatically, e.g., without user intervention, determine and report a sleep quality metric to the user, e.g., via a display.
In accordance with this disclosure, the central controller 302 can detect user sleeping motion via pressure changes. For example, the pressure transducer 46 (of
In one example implementation, the central controller 302 can execute instructions that cause the pressure transducer 46 to measure air pressure values at a sample rate. In one example, the central controller 302 can store the sampled air pressure values in a memory device. Using a moving (or rolling) average (or other central tendency), for example, the central controller 302 can determine average (or other central tendency) air pressure values and then determine whether the user has moved on the air mattress based on the rolling average. When the user is stationary, the rolling average will be substantially constant, e.g., no pressure changes. When the user moves, e.g., rolls to the side, the air pressure values may fluctuate, thereby changing the value of the rolling average. The central controller 302 can calculate a difference between the rolling average values and determine that the user is moving based on the calculated difference. In some examples, the central controller 302 can initiate a timer using the rolling average values in order to determine how long the user was moving. For example, the central controller 302 can initiate a timer when the rolling average value exceeded a specified value and stop the timer when the rolling average value drops below the specified value. The accumulated time of the timer indicates how long the user was restless during their sleep.
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”). The central controller 302 can determine a user's sleep state by using various biometric signals such as heart rate, respiration, and/or movement of the user. 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. Using the techniques described above, the central controller 302 can detect user motion and correlate the detected motion with a determined sleep state.
In some implementations, the example method shown in
In addition to the techniques described above, this disclosure is directed to techniques for detecting whether a user is present on the bed 301. In one example implementation, the central controller 302 can detect user presence via gross pressure changes. For example, the central controller 302 and the pressure transducer 46 (of
Similarly, if the user is on the bed and then gets out of bed, the air pressure in the air mattress changes, e.g., decreases, which results in a gross pressure change. The central controller 302 can determine whether the user left the bed based on the gross pressure change, e.g., over some time period. For example, by determining a rate of change of pressure, e.g., over 1-10 minutes, and comparing the determined rate of change to a threshold value, the central controller 302 can determine whether the user left the bed.
In some example implementations, the techniques for detecting whether a user is present on the bed 301 can be combined with the techniques for detecting user movement described above. For example, in addition to determining a rate of change of pressure and comparing the determined rate of change to a threshold value in order to determine whether the user is in or out of the bed 301, the central controller 302 can also use the rolling average techniques described above to detect user movement. For instance, if the central controller 302 determines that a rate of change of pressure is greater than a threshold value, thereby indicating that a user has either gotten into or out of the bed 301, the central controller 302 can further analyze rolling averages of received air pressure values from the pressure transducer 46 (of
In some examples, the central controller 302 can confirm the presence of the user in the bed 301, as shown in the optional steps 606-610 of
In some examples, the central controller 302 can detect user presence using instantaneous pressure changes. Then, presence can be verified via the detection of known biometric signals, for example.
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 addition to the techniques described above, this disclosure is directed to techniques for detecting a sleeping position of a user of the bed 301, e.g., lying on a side, lying on a back, lying on a front. In one example implementation, the central controller 302 can determine a sleeping position of the user by first detecting user movement, e.g., via changes in a rolling average, and then a gross pressure change, as described in more detail below.
In one example implementation, the central controller 302 can execute instructions that cause the pressure transducer 46 to measure air pressure values at a sample rate. In one example, the central controller 302 can store the sampled air pressure values in a memory device. Using a moving (or rolling) average, for example, the central controller 302 can determine average (or other central tendency) air pressure values and then determine whether the user has moved on the air mattress based on the rolling average. That is, when the user is stationary, the rolling average will be substantially constant, e.g., no pressure changes. When the user moves, e.g., rolls to the side, the air pressure values may fluctuate, thereby changing the value of the rolling average. The central controller 302 can calculate a difference between the rolling average values and determine that the user is moving based on the calculated difference.
Once the movement has substantially stopped, the central controller 302 can determine a gross pressure change from the measured air pressure values to determine whether the user is on their side, back, or front. That is, because the pressure in an air mattress is different depending on whether the user is lying on their side, back, or front, the central controller 302 can determine a gross pressure change based on the air pressure in the air mattress before and after the detected movement. If the gross pressure change is positive and within a range of values, then the central controller 302 determines that the user has moved from their back to their side, for example. If the gross pressure change is negative and within a range of values, then the central controller 302 determines that the user has moved from their side to their back, for example. In this manner, the central controller 302 can determine a sleeping position of a user.
In addition, the central controller 302 can use biometric data to determine a sleeping position of the user. That is, because the received respiration rate signal, heart rate signal, and/or other biometric signals of the user may be different depending on whether the user is lying on their side, back, or front, the central controller 302 can determine a sleeping position based on the received biometric signals.
The central controller 302 determines a gross pressure change value, for example, based on the measured air pressure values (708) before and after the user movement. Then, the central controller 302 compares the determined gross pressure change to a range of values (710). If the gross pressure change is positive and within the range of values, then the central controller 302 determines that the user has moved from their back to their side, for example. If the gross pressure change is negative and within a range of values, then the central controller 302 determines that the user has moved from their side to their back, for example. In this manner, the central controller 302 can determine a sleeping position of a user.
Although an embodiment has 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 it common, the terms “a” and “an” may refer to one or more unless otherwise indicated.
This application is a continuation of U.S. application Ser. No. 16/510,265, filed Jul. 12, 2019, which is a continuation of U.S. application Ser. No. 15/341,106, filed Nov. 2, 2016, which is a continuation of U.S. application Ser. No. 14/209,414, filed Mar. 13, 2014, now U.S. Pat. No. 9,510,688, which claims the benefit of priority of U.S. Provisional Application No. 61/781,311 titled, “INFLATABLE AIR MATTRESS SYSTEM WITH DETECTION TECHNIQUES” to Rob Nunn and filed on Mar. 14, 2013, the entire content being incorporated herein by reference in its entirety. 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, titled “INFLATABLE AIR MATTRESS ALARM AND MONITORING SYSTEM”; U.S. Application Ser. No. 61/781,503, filed on Mar. 14, 2013, titled “INFLATABLE AIR MATTRESS SYSTEM ARCHITECTURE”; U.S. Application Ser. No. 61/781,541, filed on Mar. 14, 2013, titled “INFLATABLE AIR MATTRESS AUTOFILL AND OFF BED PRESSURE ADJUSTMENT”; U.S. Application Ser. No. 61/781,571, filed on Mar. 14, 2013, titled “INFLATABLE AIR MATTRESS SLEEP ENVIRONMENT ADJUSTMENT AND SUGGESTIONS”; U.S. application Ser. No. 61/782,394, filed on Mar. 14, 2013, titled “INFLATABLE AIR MATTRESS SNORING DETECTION AND RESPONSE”; U.S. Application Ser. No. 61/781,296, filed on Mar. 14, 2013, titled “INFLATABLE AIR MATTRESS WITH LIGHT AND VOICE CONTROLS.” The contents of each of the above-references U.S. patent applications are herein incorporated by reference in their entirety.
Number | Name | Date | Kind |
---|---|---|---|
3727606 | Sielaff | Apr 1973 | A |
4146885 | Lawson, Jr. | Mar 1979 | A |
4299233 | Lemelson | Nov 1981 | A |
4438771 | Friesen et al. | Mar 1984 | 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 |
4991244 | Walker | Feb 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 |
5509154 | Shafer et al. | Apr 1996 | A |
5515865 | Scanlon | May 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 |
6014346 | Malone | Jan 2000 | 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 |
6088642 | Finkelstein | Jul 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 |
6686711 | Rose | Feb 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 |
7557718 | Petrosenko et al. | Jul 2009 | B2 |
7568246 | Weismiller et al. | Aug 2009 | B2 |
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 |
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 |
8002553 | Hastlestad et al. | Aug 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 |
8146191 | Bobey et al. | Apr 2012 | B2 |
8150562 | Rawls-Meehan | Apr 2012 | B2 |
8166589 | Hijlkema | 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 |
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 |
9445751 | Young | Sep 2016 | B2 |
20020091467 | Rose | Jul 2002 | A1 |
20020124311 | Peftoulidis | Sep 2002 | A1 |
20030045806 | Brydon | Mar 2003 | A1 |
20030128125 | Burbank et al. | Jun 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 |
20050131318 | Peifer et al. | Jun 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 |
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 |
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 |
20090051550 | Sasaki | 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 et al. | Jul 2010 | A1 |
20100174198 | Young et al. | Jul 2010 | A1 |
20100174199 | Young et al. | Jul 2010 | A1 |
20100191136 | Wolford | Jul 2010 | A1 |
20100191390 | Champion | 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 |
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 et al. | Dec 2011 | A1 |
20110302720 | Yakam et al. | Dec 2011 | A1 |
20110306844 | Young | Dec 2011 | 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 |
20120259248 | Receveur | Oct 2012 | A1 |
20120311790 | Nomura et al. | Dec 2012 | A1 |
20130160212 | Oexman et al. | Jun 2013 | A1 |
20130174345 | Leu | Jul 2013 | A1 |
20130174347 | Oexman et al. | Jul 2013 | A1 |
20130227787 | Herbst et al. | Sep 2013 | A1 |
20140007656 | Mahoney | Jan 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 |
20140283308 | Chen | Sep 2014 | A1 |
20140313700 | Connell et al. | Oct 2014 | A1 |
20150007393 | Palashewski et al. | Jan 2015 | A1 |
20150008710 | Young 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 |
20150173671 | Paalasmaa | 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 |
Number | Date | Country |
---|---|---|
0853918 | Jul 1998 | EP |
2 649 908 | Apr 2012 | EP |
2004229875 | Aug 2004 | JP |
WO 9113575 | Sep 1991 | WO |
WO 2004006768 | Jan 2004 | WO |
WO 2004082549 | Sep 2004 | WO |
WO 2005024748 | Mar 2005 | WO |
WO 2006135845 | Dec 2006 | WO |
WO 2008128250 | Oct 2008 | WO |
WO 2009108228 | Sep 2009 | WO |
WO 2009123641 | Oct 2009 | WO |
WO 2014143634 | Sep 2014 | WO |
Entry |
---|
U.S. Appl. No. 14/146,281, filed Jan. 2, 2014, Palashewski et al. |
International Preliminary Report on Patentability and Written Opinion in International Application No. PCT/US2014/026526, dated Sep. 24, 2015, 6 pages. |
International Search Report and Written Opinion in International Application No. PCT/US2014/026526, dated May 15, 2014, 7 pages. |
U.S. Appl. No. 60/702,645, filed Jul. 26, 2005, Bhai. |
IEEE Standard Dictionary of Electrical and Electronics Terms, 3rd ed., Jay (ed)., Aug. 1984, 71-73, 6 pages. |
Number | Date | Country | |
---|---|---|---|
20200297126 A1 | Sep 2020 | US |
Number | Date | Country | |
---|---|---|---|
61781311 | Mar 2013 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 16510265 | Jul 2019 | US |
Child | 16841105 | US | |
Parent | 15341106 | Nov 2016 | US |
Child | 16510265 | US | |
Parent | 14209414 | Mar 2014 | US |
Child | 15341106 | US |