Various embodiments described herein relate generally to signal processing systems and methods, and more particularly to physiological signal processing systems and methods.
There is a growing market demand for personal health and environmental monitors, for example, for gauging overall health, fitness, metabolism, and vital status during exercise, athletic training, work, public safety activities, dieting, daily life activities, sickness and physical therapy. These personal health and environmental monitors process physiological signals that may be obtained from one or more physiological sensors, and are configured to extract one or more physiological metrics from physiological waveforms. Unfortunately, inaccurate physiological metric extraction can reduce the accuracy of health, fitness and/or vital status monitoring.
It should be appreciated that this Summary is provided to introduce a selection of concepts in a simplified form, the concepts being further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of this disclosure, nor is it intended to limit the scope of the invention.
Various embodiments described herein can provide physiological signal processing systems that include a photoplethysmograph (PPG) sensor that is configured to generate a physiological waveform, and an inertial sensor that is configured to generate a motion signal. A physiological metric extractor is configured to extract a physiological metric from the physiological waveform that is generated by the PPG sensor. The physiological metric extractor includes an averager that has an impulse response that is responsive to the motion signal and, in some embodiments, to the strength of the motion signal.
Various embodiments of averagers may be provided according to various embodiments described herein. For example, the averager may operate in the time domain or in the frequency domain. The averager may include a spectral transformer or an averaging filter, such as an averaging window. Moreover, the impulse response may be responsive to the motion signal according to a discrete, continuous, linear and/or nonlinear function that may include hysteresis. The strength of the motion signal may comprise a maximum, sum of squares, maximum of squares, sum of absolute values, maximum of absolute values, root-sum-squares, root-mean-squares and/or decimation of a magnitude of the motion signal over a given time interval. Finally, the inertial sensor may comprise an accelerometer, an optical sensor, a blocked channel sensor, a capacitive sensor and/or a piezo sensor.
Various embodiments of a physiological metric extractor that includes an averager having an impulse response that is responsive to the motion signal will now be described. For example, in some embodiments, the impulse response has a first value in response to the strength of the motion signal exceeding a first threshold and a second value in response to the strength of the motion signal being less than a second threshold. The first value of the impulse response may set a first averaging window size of the averager and the second value of the impulse response may set a second averaging window size of the averager. Thus, the averaging window size of the averager may be a linear and/or nonlinear function of the strength of the motion signal. In other embodiments, the impulse response has a first value in response to the strength of the motion signal exceeding a first threshold but being less than a second threshold, a second value in response to the strength of the motion signal exceeding the second threshold but being less than a third threshold and a third value in response to the strength of the motion signal exceeding the third threshold. Thus, the first value of the impulse response may set a first averaging window size of the averager, the second value of the impulse response may set a second averaging window size of the averager and the third value of the impulse response may set a third averaging window size of the averager. Accordingly, two or more thresholds may be provided.
In other embodiments, the physiological metric extractor further comprises a spectral transformer that is configured to provide a weighted average spectral response over a window of samples that are derived from the physiological waveform that is generated by the PPG sensor. The weights and the number of samples in the window of samples define the impulse response.
In yet other embodiments, wherein a window size of the averager defines impulse response, the physiological metric extractor may further comprise a buffer configured to store a plurality of samples of the physiological waveform that is generated by the PPG sensor therein, ranging from a newest sample to an oldest sample. The buffer is further configured to store sufficient samples to correspond to a largest averaging window size.
The physiological metric may comprise a heart rate, respiration rate, heart rate variability (HRV), pulse pressure, systolic blood pressure, diastolic blood pressure, step rate, oxygen uptake (VO2), maximal oxygen uptake (VO2 max), calories burned, trauma, cardiac output and/or blood analyte levels including percentage of hemoglobin binding sites occupied by oxygen (SPO2), percentage of methemoglobins, percentage of carbonyl hemoglobin and/or glucose level.
Moreover, in some embodiments, a portable housing may be provided, wherein the PPG sensor, the inertial sensor and the physiological metric extractor are all included in the portable housing. A physiological metric assessor also may be provided, within or external to the portable housing, that is responsive to the physiological metric extractor and that is configured to process the physiological metric to generate at-least-one physiological assessment. The at-least-one physiological assessment may include ventilatory threshold, lactate threshold, cardiopulmonary status, neurological status, aerobic capacity (VO2 max) and/or overall health or fitness.
Other embodiments described herein may provide a physiological processing system for a physiological waveform that is generated by a PPG sensor and a motion signal. These physiological signal processing systems may include a physiological metric extractor that is configured to extract the physiological metric from the physiological waveform that is generated by the PPG sensor. The physiological metric extractor has an averaging window of size that is responsive to the motion signal. In some embodiments, the averaging window size is responsive to the strength of the motion signal, as was described above. In some embodiments, the averaging size may have a first value and a second value or more than two different values, depending on the strength of the motion signal and one or more thresholds. Moreover, the averaging window size may be a linear and/or nonlinear function of the strength of the motion signal. The averager may operate in a time domain or in the frequency domain. A buffer may also be provided, as was described above. Finally, a physiological metric assessor may be provided as was described above.
Various embodiments were described above in connection with physiological signal processing systems. However, analogous physiological signal processing methods may also be provided according to various embodiments described herein. For example, some embodiments described herein can provide a physiological signal processing method comprising setting an impulse response in response to a motion signal, averaging a physiological waveform that is generated by a PPG sensor based on the impulse response that was set, and extracting a physiological metric from the physiological waveform that was averaged. In some embodiments, the setting may comprise setting an impulse response in response to the strength of the motion signal according to any of the embodiments described above. Moreover, the impulse response may have first, second, third, etc. values, depending on the strength of the motion signal relative to one or more thresholds, and these values may set averaging window sizes of the averaging, as was described above. The physiological metric may also be processed to generate at-least-one physiological assessment, as was described above.
Yet other embodiments of physiological signal processing methods may comprise setting an averaging window size in response to a motion signal, averaging a physiological waveform that is generated by a PPG sensor based on the averaging window size that was set, and extracting a physiological metric from the physiological waveform that was averaged. Again, the signal strength may be obtained according to any of the embodiments described herein, and the setting may comprise setting an average window size in response to the strength of the motion signal based on a linear and/or nonlinear function and/or the value of the motion signal relative to one or more thresholds.
The present invention will now be described more fully hereinafter with reference to the accompanying figures, in which various embodiments are shown. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Like numbers refer to like elements throughout. The sequence of operations (or steps) is not limited to the order presented in the figures and/or claims unless specifically indicated otherwise. Features described with respect to one figure or embodiment can be associated with another embodiment or figure although not specifically described or shown as such.
It will be understood that, when a feature or element is referred to as being “connected”, “attached”, “coupled” or “responsive” to another feature or element, it can be directly connected, attached, coupled or responsive to the other feature or element or intervening features or elements may be present. In contrast, when a feature or element is referred to as being “directly connected”, “directly attached”, “directly coupled” or “directly responsive” to another feature or element, there are no intervening features or elements present.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the singular forms “a”, “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises” and/or “comprising,” when used in this specification, specify the presence of stated features, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof. As used herein, the term “and/or” includes any and all combinations of one or more of the associated listed items.
It will be understood that although the terms first and second are used herein to describe various features/elements, these features/elements should not be limited by these terms. These terms are only used to distinguish one feature/element from another feature/element. Thus, a first feature/element discussed below could be termed a second feature/element, and similarly, a second feature/element discussed below could be termed a first feature/element without departing from the teachings of the present invention.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the specification and relevant art and should not be interpreted in an idealized or overly formal sense unless expressly so defined herein. Well-known functions or constructions may not be described in detail for brevity and/or clarity.
The term “headset” includes any type of device or earpiece that may be attached to or near the ear (or ears) of a user and may have various configurations, without limitation. Headsets as described herein may include mono headsets (one earbud) and stereo headsets (two earbuds), earbuds, hearing aids, ear jewelry, face masks, headbands, and the like.
The term “real-time” is used to describe a process of sensing, processing, or transmitting information in a time frame which is equal to or shorter than the minimum timescale at which the information is needed. For example, the real-time monitoring of pulse rate may result in a single average pulse-rate measurement every minute, averaged over 30 seconds, because an instantaneous pulse rate is often useless to the end user. Typically, averaged physiological and environmental information is more relevant than instantaneous changes. Thus, in the context of embodiments of the present invention, signals may sometimes be processed over several seconds, or even minutes, in order to generate a “real-time” response.
The term “monitoring” refers to the act of measuring, quantifying, qualifying, estimating, sensing, calculating, interpolating, extrapolating, inferring, deducing, or any combination of these actions. More generally, “monitoring” refers to a way of getting information via one or more sensing elements. For example, “blood health monitoring” includes monitoring blood gas levels, blood hydration, and metabolite/electrolyte levels.
The term “physiological” refers to matter or energy of or from the body of a creature (e.g., humans, animals, etc.). In embodiments of the present invention, the term “physiological” is intended to be used broadly, covering both physical and psychological matter and energy of or from the body of a creature. However, in some cases, the term “psychological” is called-out separately to emphasize aspects of physiology that are more closely tied to conscious or subconscious brain activity rather than the activity of other organs, tissues, or cells.
The term “body” refers to the body of a subject (human or animal) who may wear a headset incorporating embodiments of the present invention.
In the included figures, various embodiments will be illustrated and described. However, it is to be understood that embodiments of the present invention are not limited to those worn by humans.
The ear is an ideal location for wearable health and environmental monitors. The ear is a relatively immobile platform that does not obstruct a person's movement or vision. Headsets located at an ear have, for example, access to the inner-ear canal and tympanic membrane (for measuring core body temperature), muscle tissue (for monitoring muscle tension), the pinna and earlobe (for monitoring blood gas levels), the region behind the ear (for measuring skin temperature and galvanic skin response), and the internal carotid artery (for measuring cardiopulmonary functioning), etc. The ear is also at or near the point of exposure to: environmental breathable toxicants of interest (volatile organic compounds, pollution, etc.); noise pollution experienced by the ear; and lighting conditions for the eye. Furthermore, as the ear canal is naturally designed for transmitting acoustical energy, the ear provides a good location for monitoring internal sounds, such as heartbeat, breathing rate, and mouth motion.
Wireless, Bluetooth®-enabled, and/or other personal communication headsets may be configured to incorporate physiological and/or environmental sensors, according to some embodiments of the present invention. As a specific example, Bluetooth® headsets are typically lightweight, unobtrusive devices that have become widely accepted socially. Moreover, Bluetooth® headsets are cost effective, easy to use, and are often worn by users for most of their waking hours while attending or waiting for cell phone calls. Bluetooth® headsets configured according to embodiments of the present invention are advantageous because they provide a function for the user beyond health monitoring, such as personal communication and multimedia applications, thereby encouraging user compliance. Exemplary physiological and environmental sensors that may be incorporated into a Bluetooth® or other type of headsets include, but are not limited to accelerometers, auscultatory sensors, pressure sensors, humidity sensors, color sensors, light intensity sensors, pressure sensors, etc.
Optical coupling into the blood vessels of the ear may vary between individuals. As used herein, the term “coupling” refers to the interaction or communication between excitation light entering a region and the region itself. For example, one form of optical coupling may be the interaction between excitation light generated from within a light-guiding earbud and the blood vessels of the ear. Light guiding earbuds are described in co-pending U.S. Patent Application Publication No. 2010/0217102, which is incorporated herein by reference in its entirety. In one embodiment, this interaction may involve excitation light entering the ear region and scattering from a blood vessel in the ear such that the intensity of scattered light is proportional to blood flow within the blood vessel. Another form of optical coupling may be the interaction between excitation light generated by an optical emitter within an earbud and the light-guiding region of the earbud.
Various embodiments described herein are not limited to headsets that communicate wirelessly. In some embodiments of the present invention, headsets configured to monitor an individual's physiology and/or environment may be wired to a device that stores and/or processes data. In some embodiments, this information may be stored on the headset itself. Furthermore, various embodiments described herein are not limited to earbuds. Some embodiments may be employed around another part of the body, such as a digit, finger, toe, limb, wrist, around the nose or earlobe, or the like. Other embodiments may be integrated into a patch, such as a bandage that sticks on a person's body.
Photoplethysmograph (PPG) sensors are widely used in physiological signal processing systems and methods to generate a physiological waveform. A PPG sensor is a device that measures the relative blood flow using an infrared or other light source that is transmitted through or reflected off tissue, detected by a photodetector and quantified. Less light is absorbed when blood flow is greater, increasing the intensity of light reaching the detector. A PPG sensor can measure blood volume pulse, which is the phasic change in blood volume with each heartbeat. A PPG sensor can also measure heart rate, heart rate variability and/or other physiological metrics. Moreover, many other types of sensors may also be used in physiological signal processing systems described herein.
Unfortunately, these sensors may be highly sensitive to noise. When used with a portable physiological signal processing system/method, these sensors may be particularly susceptible to motion noise. Moreover, a PPG sensor also may be particularly sensitive to “sunlight interference”, which may occur, for example, when a user is running beneath trees.
Averaging measurements may be used to reduce noise. Accordingly, many digital signal processing systems, and in particular physiological signal processing systems, may include an averager, such as an averaging filter or a spectral transform that effectively averages the response over a window of samples. The window function defines an impulse response. For example, when a filter is applied to a sequence of samples (either direct sensor samples or processed sensor samples), this may provide a weighted average of present and past samples, which may be specified as an impulse response. More broadly stated, an impulse response of a dynamic system represents its output when presented with a brief input signal called an “impulse”. The impulse response may be used to fully characterize the operation of a dynamic system on an input signal, so that it may be used to represent a weighted or unweighted average of a variable number of samples, also referred to as a “sampling window size”.
The selection of an impulse response for an averager can present a dilemma for the designer of a physiological signal processing system. In particular, there is a tradeoff between the window size versus the resolution of temporal changes of the measurement. Moreover, there is an inverse relationship between temporal resolution and frequency resolution.
Various embodiments described herein may arise from recognition that a desired or optimum tradeoff may vary with the nature of the noise. Pursuant to this recognition, various embodiments described herein can vary the averaging in time for physiological metric estimation based on conditions that set the noise. Thus, various embodiments described herein can provide a physiological metric extractor for a physiological waveform that is generated by a PPG sensor or other physiological sensor, wherein the physiological metric extractor includes an averager having an impulse response that is responsive to a motion signal that is generated by an inertial sensor. By being responsive to the motion signal, a smaller sampling window may be provided for low strength motion signals (for example, the subject at rest), whereas a larger sample window can be provided for a higher strength motion signal (for example, the subject in motion). Thus, higher resolution and higher noise rejection may be obtained, regardless of the presence of motion or other noise.
Still referring to
Still referring to
According to various embodiments described herein, the impulse response of the averager 120 is responsive to a motion signal, and in some embodiments a strength of a motion signal. For example, referring again to
Finally, one or more of the elements illustrated in
It will also be understood that the averager 120 is functionally illustrated in
The averager 120 may be embodied in many forms, as illustrated in
As was described in connection with
For example,
Thus, a simple form of various embodiments described herein uses a motion flag, where motion is declared when the accelerometer strength is greater than a predetermined threshold, and where rest is otherwise declared. The motion flag then determines which of two predetermined window sizes are used for a spectral transform. A more complex form can map the accelerometer strength to multiple window sizes and/or further characteristics, as will be described in connection with
More than two thresholds may be used, as illustrated in
It will be understood that in any of the embodiments described herein, it may be desirable to avoid discontinuities when changing averaging window sizes. Accordingly, it may be desirable to use a delay line or a buffer corresponding to the largest anticipated window size, and allow the smaller window to encompass the newest samples in the delay line. Discontinuity may thereby be reduced or minimized. Hysteresis, as was described in
Now compare
Finally,
Various embodiments have been described herein primarily with respect to physiological signal processing systems. However,
Various embodiments have been described herein with reference to block diagrams of methods, apparatus (systems and/or devices) and/or computer program products. It is understood that a block of the block diagrams, and combinations of blocks in the block diagrams, can be implemented by computer program instructions that are performed by one or more computer circuits. These computer program instructions may be provided to a processor circuit of a general purpose computer circuit, special purpose computer circuit, and/or other programmable data processing circuit to produce a machine, such that the instructions, which execute via the processor of the computer and/or other programmable data processing apparatus, transform and control transistors, values stored in memory locations, and other hardware components within such circuitry to implement the functions/acts specified in the block diagrams, and thereby create means (functionality), structure and/or methods for implementing the functions/acts specified in the block diagrams.
These computer program instructions may also be stored in a computer-readable medium that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable medium produce an article of manufacture including instructions which implement the functions/acts specified in the block diagrams and/or flowchart block or blocks.
A tangible, non-transitory computer-readable medium may include an electronic, magnetic, optical, electromagnetic, or semiconductor data storage system, apparatus, or device. More specific examples of the computer-readable medium would include the following: a portable computer diskette, a random access memory (RAM) circuit, a read-only memory (ROM) circuit, an erasable programmable read-only memory (EPROM or Flash memory) circuit, a portable compact disc read-only memory (CD-ROM), and a portable digital video disc read-only memory (DVD/Blu-ray™).
The computer program instructions may also be loaded onto a computer and/or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer and/or other programmable apparatus to produce a computer-implemented process or method such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions/acts specified in the block diagrams.
Accordingly, the invention may be embodied in hardware and/or in software (including firmware, resident software, micro-code, etc.) that runs on a processor such as a digital signal processor, which may collectively be referred to as “circuitry,” “a module” or variants thereof.
It should also be noted that in some alternate implementations, the functions/acts noted in the blocks may occur out of the order noted in the blocks. For example, two blocks shown in succession may in fact be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Moreover, the functionality of a given block of the block diagrams may be separated into multiple blocks and/or the functionality of two or more blocks of the block diagrams may be at least partially integrated. Finally, other blocks may be added/inserted between the blocks that are illustrated.
Many different embodiments have been disclosed herein, in connection with the above description and the drawings. It will be understood that it would be unduly repetitious and obfuscating to literally describe and illustrate every combination and subcombination of these embodiments. Accordingly, the present specification, including the drawings, shall be construed to constitute a complete written description of all combinations and subcombinations of the embodiments described herein, and of the manner and process of making and using them, and shall support claims to any such combination or subcombination.
In the drawings and specification, there have been disclosed embodiments of the invention and, although specific terms are employed, they are used in a generic and descriptive sense only and not for purposes of limitation, the scope of the invention being set forth in the following claims.
This application claims priority from U.S. Provisional Patent Application No. 62/359,962 entitled “MOTION-DEPENDENT AVERAGING FOR PHYSIOLOGICAL METRIC ESTIMATING SYSTEMS AND METHODS” filed Jul. 8, 2016, in the United States Patent and Trademark Office, the disclosure of which is incorporated by reference herein in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
3595219 | Friedlander et al. | Jul 1971 | A |
4240882 | Ang et al. | Dec 1980 | A |
4281645 | Jobsis | Aug 1981 | A |
4331154 | Broadwater et al. | May 1982 | A |
4371406 | Li | Feb 1983 | A |
4438772 | Slavin | Mar 1984 | A |
4491760 | Linvill | Jan 1985 | A |
4521499 | Switzer | Jun 1985 | A |
4541905 | Kuwana et al. | Sep 1985 | A |
4586513 | Hamaguri | May 1986 | A |
4592807 | Switzer | Jun 1986 | A |
4655225 | Dahne et al. | Apr 1987 | A |
4830014 | Goodman et al. | May 1989 | A |
4882492 | Schlager | Nov 1989 | A |
4896676 | Sasaki | Jan 1990 | A |
4928704 | Hardt | May 1990 | A |
4952890 | Swanson | Aug 1990 | A |
4952928 | Carroll et al. | Aug 1990 | A |
4957109 | Groeger et al. | Sep 1990 | A |
5002060 | Nedivi | Mar 1991 | A |
5022970 | Cook et al. | Jun 1991 | A |
5025791 | Niwa | Jun 1991 | A |
5079421 | Knudson et al. | Jan 1992 | A |
5080098 | Willett et al. | Jan 1992 | A |
5086229 | Rosenthal et al. | Feb 1992 | A |
5139025 | Lewis et al. | Aug 1992 | A |
5143078 | Mather et al. | Sep 1992 | A |
5226417 | Swedlow et al. | Jul 1993 | A |
5237994 | Goldberger | Aug 1993 | A |
5299570 | Hatschek | Apr 1994 | A |
5348002 | Caro | Sep 1994 | A |
5377100 | Pope et al. | Dec 1994 | A |
5386819 | Kaneko et al. | Feb 1995 | A |
5431170 | Mathews | Jul 1995 | A |
5448082 | Kim | Sep 1995 | A |
5482036 | Diab et al. | Jan 1996 | A |
5492129 | Greenberger | Feb 1996 | A |
5494043 | O'Sullivan et al. | Feb 1996 | A |
5499301 | Sudo et al. | Mar 1996 | A |
5581648 | Sahagen | Dec 1996 | A |
5596987 | Chance | Jan 1997 | A |
5662117 | Bittman | Sep 1997 | A |
5673692 | Schulze et al. | Oct 1997 | A |
5697374 | Odagiri et al. | Dec 1997 | A |
5711308 | Singer | Jan 1998 | A |
5725480 | Oosta et al. | Mar 1998 | A |
5743260 | Chung et al. | Apr 1998 | A |
5779631 | Chance | Jul 1998 | A |
5797841 | Delonzor et al. | Aug 1998 | A |
5807114 | Hodges et al. | Sep 1998 | A |
5807267 | Bryars et al. | Sep 1998 | A |
5817008 | Rafert et al. | Oct 1998 | A |
5820560 | Sinderby et al. | Oct 1998 | A |
5846190 | Woehrle | Dec 1998 | A |
5853005 | Scanlon | Dec 1998 | A |
5904654 | Wohltmann et al. | May 1999 | A |
5938593 | Ouellette | Aug 1999 | A |
5954644 | Dettling et al. | Sep 1999 | A |
5964701 | Asada et al. | Oct 1999 | A |
5971931 | Raff | Oct 1999 | A |
5974338 | Asano et al. | Oct 1999 | A |
5995858 | Kinast | Nov 1999 | A |
6004274 | Nolan et al. | Dec 1999 | A |
6006119 | Soller et al. | Dec 1999 | A |
6013007 | Root et al. | Jan 2000 | A |
6022748 | Charych et al. | Feb 2000 | A |
6023541 | Merchant et al. | Feb 2000 | A |
6030342 | Amano et al. | Feb 2000 | A |
6045511 | Ott et al. | Apr 2000 | A |
6067006 | O'Brien | May 2000 | A |
6070093 | Oosta et al. | May 2000 | A |
6078829 | Uchida et al. | Jun 2000 | A |
6080110 | Thorgersen | Jun 2000 | A |
6081742 | Amano et al. | Jun 2000 | A |
6122042 | Wunderman et al. | Sep 2000 | A |
6148229 | Morris, Sr. et al. | Nov 2000 | A |
6155983 | Kosuda et al. | Dec 2000 | A |
6168567 | Pickering et al. | Jan 2001 | B1 |
6186145 | Brown | Feb 2001 | B1 |
6198394 | Jacobsen et al. | Mar 2001 | B1 |
6198951 | Kosuda et al. | Mar 2001 | B1 |
6205354 | Gellermann et al. | Mar 2001 | B1 |
6231519 | Blants et al. | May 2001 | B1 |
6267721 | Welles | Jul 2001 | B1 |
6283915 | Aceti et al. | Sep 2001 | B1 |
6285816 | Anderson et al. | Sep 2001 | B1 |
6289230 | Chaiken et al. | Sep 2001 | B1 |
6298314 | Blackadar et al. | Oct 2001 | B1 |
6332868 | Sato et al. | Dec 2001 | B1 |
6358216 | Kraus et al. | Mar 2002 | B1 |
6361660 | Goldstein | Mar 2002 | B1 |
6371925 | Imai et al. | Apr 2002 | B1 |
6374129 | Chin et al. | Apr 2002 | B1 |
6415167 | Blank et al. | Jul 2002 | B1 |
6443890 | Schulze et al. | Sep 2002 | B1 |
6444474 | Thomas et al. | Sep 2002 | B1 |
6454718 | Clift | Sep 2002 | B1 |
6458080 | Brown et al. | Oct 2002 | B1 |
6470893 | Boesen | Oct 2002 | B1 |
6513532 | Mault et al. | Feb 2003 | B2 |
6514278 | Hibst et al. | Feb 2003 | B1 |
6527711 | Stivoric et al. | Mar 2003 | B1 |
6527712 | Brown et al. | Mar 2003 | B1 |
6529754 | Kondo | Mar 2003 | B2 |
6534012 | Hazen et al. | Mar 2003 | B1 |
6556852 | Schulze et al. | Apr 2003 | B1 |
6569094 | Suzuki et al. | May 2003 | B2 |
6571117 | Marbach | May 2003 | B1 |
6605038 | Teller et al. | Aug 2003 | B1 |
6608562 | Kimura et al. | Aug 2003 | B1 |
6616613 | Goodman | Sep 2003 | B1 |
6631196 | Taenzer et al. | Oct 2003 | B1 |
6647378 | Kindo | Nov 2003 | B2 |
6656116 | Kim et al. | Dec 2003 | B2 |
6694180 | Boesen | Feb 2004 | B1 |
6702752 | Dekker | Mar 2004 | B2 |
6725072 | Steuer et al. | Apr 2004 | B2 |
6745061 | Hicks et al. | Jun 2004 | B1 |
6748254 | O'Neil et al. | Jun 2004 | B2 |
6760610 | Tschupp et al. | Jul 2004 | B2 |
6783501 | Takahashi et al. | Aug 2004 | B2 |
6808473 | Hisano et al. | Oct 2004 | B2 |
6859658 | Krug | Feb 2005 | B1 |
6893396 | Schulze et al. | May 2005 | B2 |
6941239 | Unuma et al. | Sep 2005 | B2 |
6953435 | Kondo et al. | Oct 2005 | B2 |
6954644 | Johansson et al. | Oct 2005 | B2 |
6996427 | Ali et al. | Feb 2006 | B2 |
6997879 | Turcott | Feb 2006 | B1 |
7018338 | Vetter et al. | Mar 2006 | B2 |
7024369 | Brown et al. | Apr 2006 | B1 |
7030359 | Romhild | Apr 2006 | B2 |
7034694 | Yamaguchi et al. | Apr 2006 | B2 |
7039454 | Kaga et al. | May 2006 | B1 |
7041062 | Friedrichs et al. | May 2006 | B2 |
7043287 | Khalil et al. | May 2006 | B1 |
7048687 | Reuss et al. | May 2006 | B1 |
7054674 | Cane et al. | May 2006 | B2 |
7088234 | Naito et al. | Aug 2006 | B2 |
7107088 | Aceti | Sep 2006 | B2 |
7113815 | O'Neil et al. | Sep 2006 | B2 |
7117032 | Childre et al. | Oct 2006 | B2 |
7144375 | Kosuda | Dec 2006 | B2 |
7163512 | Childre et al. | Jan 2007 | B1 |
7175601 | Verjus et al. | Feb 2007 | B2 |
7190986 | Hannula et al. | Mar 2007 | B1 |
7209775 | Bae et al. | Apr 2007 | B2 |
7217224 | Thomas | May 2007 | B2 |
7252639 | Kimura et al. | Aug 2007 | B2 |
7263396 | Chen et al. | Aug 2007 | B2 |
7289837 | Mannheimer et al. | Oct 2007 | B2 |
7336982 | Yoo | Feb 2008 | B2 |
7341559 | Schulz et al. | Mar 2008 | B2 |
7376451 | Mahony et al. | May 2008 | B2 |
7378954 | Wendt | May 2008 | B2 |
7470234 | Elhag et al. | Dec 2008 | B1 |
7483730 | Diab et al. | Jan 2009 | B2 |
7486988 | Goodall et al. | Feb 2009 | B2 |
7507207 | Sakai et al. | Mar 2009 | B2 |
7519327 | White | Apr 2009 | B2 |
7526327 | Blondeau et al. | Apr 2009 | B2 |
7583994 | Scholz | Sep 2009 | B2 |
7620450 | Kim et al. | Nov 2009 | B2 |
7625285 | Breving | Dec 2009 | B2 |
7652569 | Kiff et al. | Jan 2010 | B2 |
7689437 | Teller et al. | Mar 2010 | B1 |
7695440 | Kondo et al. | Apr 2010 | B2 |
7725147 | Li et al. | May 2010 | B2 |
7756559 | Abreu | Jul 2010 | B2 |
7843325 | Otto | Nov 2010 | B2 |
7894869 | Hoarau | Feb 2011 | B2 |
7914468 | Shalon et al. | Mar 2011 | B2 |
7991448 | Edgar, Jr. et al. | Aug 2011 | B2 |
7998079 | Nagai et al. | Aug 2011 | B2 |
8050728 | Al-Ali et al. | Nov 2011 | B2 |
8055319 | Oh et al. | Nov 2011 | B2 |
8055330 | Egozi | Nov 2011 | B2 |
8059924 | Letant et al. | Nov 2011 | B1 |
8130105 | Al-Ali et al. | Mar 2012 | B2 |
8137270 | Keenan et al. | Mar 2012 | B2 |
8157730 | Leboeuf et al. | Apr 2012 | B2 |
8172459 | Abreu | May 2012 | B2 |
8175670 | Baker, Jr. et al. | May 2012 | B2 |
8204730 | Liu et al. | Jun 2012 | B2 |
8204786 | Leboeuf et al. | Jun 2012 | B2 |
8233955 | Al-Ali et al. | Jul 2012 | B2 |
8251903 | Leboeuf et al. | Aug 2012 | B2 |
8255027 | Al-Ali et al. | Aug 2012 | B2 |
8255029 | Addison et al. | Aug 2012 | B2 |
8303512 | Kosuda et al. | Nov 2012 | B2 |
8320982 | Leboeuf et al. | Nov 2012 | B2 |
8323982 | Leboeuf et al. | Dec 2012 | B2 |
8328420 | Abreu | Dec 2012 | B2 |
8416959 | Lott et al. | Apr 2013 | B2 |
8491492 | Shinar et al. | Jul 2013 | B2 |
8504679 | Spire et al. | Aug 2013 | B2 |
8506524 | Graskov et al. | Aug 2013 | B2 |
8512242 | Leboeuf et al. | Aug 2013 | B2 |
8647270 | Leboeuf et al. | Feb 2014 | B2 |
8652040 | Leboeuf et al. | Feb 2014 | B2 |
8652409 | Leboeuf et al. | Feb 2014 | B2 |
8679008 | Hughes et al. | Mar 2014 | B2 |
8700111 | Leboeuf et al. | Apr 2014 | B2 |
8702607 | Leboeuf et al. | Apr 2014 | B2 |
8730048 | Shen et al. | May 2014 | B2 |
8788002 | Leboeuf et al. | Jul 2014 | B2 |
8886269 | Leboeuf et al. | Nov 2014 | B2 |
8888701 | Leboeuf et al. | Nov 2014 | B2 |
8923941 | Leboeuf et al. | Dec 2014 | B2 |
8929965 | Leboeuf et al. | Jan 2015 | B2 |
8929966 | Leboeuf et al. | Jan 2015 | B2 |
8934952 | Leboeuf et al. | Jan 2015 | B2 |
8942776 | Leboeuf et al. | Jan 2015 | B2 |
8961415 | Leboeuf et al. | Feb 2015 | B2 |
8996332 | Kahn | Mar 2015 | B2 |
9005129 | Venkatraman et al. | Apr 2015 | B2 |
9044180 | Leboeuf et al. | Jun 2015 | B2 |
9289175 | Leboeuf et al. | Mar 2016 | B2 |
9801552 | Romesburg | Oct 2017 | B2 |
9808204 | Leboeuf et al. | Nov 2017 | B2 |
9943266 | Adams | Apr 2018 | B2 |
20010015123 | Nishitani et al. | Aug 2001 | A1 |
20010044588 | Mault | Nov 2001 | A1 |
20010049471 | Suzuki et al. | Dec 2001 | A1 |
20020035340 | Fraden et al. | Mar 2002 | A1 |
20020143242 | Nemirovski | Oct 2002 | A1 |
20020156386 | Dardik et al. | Oct 2002 | A1 |
20020156654 | Roe et al. | Oct 2002 | A1 |
20020173780 | Altshuler et al. | Nov 2002 | A1 |
20020186137 | Skardon | Dec 2002 | A1 |
20020188210 | Aizawa | Dec 2002 | A1 |
20020194002 | Petrushin | Dec 2002 | A1 |
20030002705 | Boesen | Jan 2003 | A1 |
20030007631 | Bolognesi et al. | Jan 2003 | A1 |
20030045785 | Diab et al. | Mar 2003 | A1 |
20030050563 | Suribhotla et al. | Mar 2003 | A1 |
20030064712 | Gaston et al. | Apr 2003 | A1 |
20030065257 | Mault et al. | Apr 2003 | A1 |
20030065269 | Vetter et al. | Apr 2003 | A1 |
20030083583 | Kovtun et al. | May 2003 | A1 |
20030109030 | Uchida et al. | Jun 2003 | A1 |
20030109791 | Kondo et al. | Jun 2003 | A1 |
20030130586 | Starobin et al. | Jul 2003 | A1 |
20030181795 | Suzuki et al. | Sep 2003 | A1 |
20030181798 | Al-Ali | Sep 2003 | A1 |
20030181817 | Mori | Sep 2003 | A1 |
20030212336 | Lee et al. | Nov 2003 | A1 |
20030220584 | Honeyager et al. | Nov 2003 | A1 |
20030222268 | Yocom et al. | Dec 2003 | A1 |
20030233051 | Verjus et al. | Dec 2003 | A1 |
20040004547 | Appelt et al. | Jan 2004 | A1 |
20040022700 | Kim et al. | Feb 2004 | A1 |
20040030581 | Leven | Feb 2004 | A1 |
20040034289 | Teller et al. | Feb 2004 | A1 |
20040034293 | Kimball | Feb 2004 | A1 |
20040039254 | Stivoric et al. | Feb 2004 | A1 |
20040073455 | McConnochie et al. | Apr 2004 | A1 |
20040075677 | Loyall et al. | Apr 2004 | A1 |
20040077934 | Massad | Apr 2004 | A1 |
20040081621 | Arndt et al. | Apr 2004 | A1 |
20040082842 | Lumba et al. | Apr 2004 | A1 |
20040097796 | Berman et al. | May 2004 | A1 |
20040103146 | Park | May 2004 | A1 |
20040117204 | Mazar et al. | Jun 2004 | A1 |
20040120844 | Tribelsky et al. | Jun 2004 | A1 |
20040122294 | Hatlestad et al. | Jun 2004 | A1 |
20040122702 | Sabol et al. | Jun 2004 | A1 |
20040133123 | Leonhardt et al. | Jul 2004 | A1 |
20040135571 | Uutela et al. | Jul 2004 | A1 |
20040138578 | Pineda et al. | Jul 2004 | A1 |
20040158167 | Smith et al. | Aug 2004 | A1 |
20040186387 | Kosuda et al. | Sep 2004 | A1 |
20040186390 | Ross et al. | Sep 2004 | A1 |
20040219056 | Tribelsky et al. | Nov 2004 | A1 |
20040220488 | Vyshedskiy et al. | Nov 2004 | A1 |
20040228494 | Smith | Nov 2004 | A1 |
20040242976 | Abreu | Dec 2004 | A1 |
20040254501 | Mault | Dec 2004 | A1 |
20050004458 | Kanayama et al. | Jan 2005 | A1 |
20050007582 | Villers et al. | Jan 2005 | A1 |
20050021519 | Ghouri | Jan 2005 | A1 |
20050027216 | Guillemaud et al. | Feb 2005 | A1 |
20050030540 | Thornton | Feb 2005 | A1 |
20050033200 | Soehren et al. | Feb 2005 | A1 |
20050036212 | Saito | Feb 2005 | A1 |
20050038349 | Choi et al. | Feb 2005 | A1 |
20050043630 | Buchert | Feb 2005 | A1 |
20050059870 | Aceti | Mar 2005 | A1 |
20050070809 | Acres | Mar 2005 | A1 |
20050084666 | Pong et al. | Apr 2005 | A1 |
20050100866 | Arnone et al. | May 2005 | A1 |
20050101845 | Nihtila | May 2005 | A1 |
20050101872 | Sattler et al. | May 2005 | A1 |
20050113167 | Buchner et al. | May 2005 | A1 |
20050113656 | Chance | May 2005 | A1 |
20050113703 | Farringdon et al. | May 2005 | A1 |
20050116820 | Goldreich | Jun 2005 | A1 |
20050119833 | Nanikashvili | Jun 2005 | A1 |
20050148883 | Boesen | Jul 2005 | A1 |
20050154264 | Lecompte et al. | Jul 2005 | A1 |
20050177034 | Beaumont | Aug 2005 | A1 |
20050187448 | Petersen et al. | Aug 2005 | A1 |
20050187453 | Petersen et al. | Aug 2005 | A1 |
20050192515 | Givens et al. | Sep 2005 | A1 |
20050196009 | Boesen | Sep 2005 | A1 |
20050203349 | Nanikashvili | Sep 2005 | A1 |
20050203357 | Debreczeny et al. | Sep 2005 | A1 |
20050209516 | Fraden | Sep 2005 | A1 |
20050212405 | Negley | Sep 2005 | A1 |
20050222487 | Miller, III et al. | Oct 2005 | A1 |
20050222903 | Buchheit et al. | Oct 2005 | A1 |
20050228244 | Banet | Oct 2005 | A1 |
20050228299 | Banet | Oct 2005 | A1 |
20050228463 | Mac et al. | Oct 2005 | A1 |
20050240087 | Keenan et al. | Oct 2005 | A1 |
20050245839 | Stivoric et al. | Nov 2005 | A1 |
20050258816 | Zen et al. | Nov 2005 | A1 |
20050259811 | Kimm et al. | Nov 2005 | A1 |
20060009685 | Finarov et al. | Jan 2006 | A1 |
20060012567 | Sicklinger | Jan 2006 | A1 |
20060063993 | Yu et al. | Mar 2006 | A1 |
20060074333 | Huiku | Apr 2006 | A1 |
20060084878 | Banet et al. | Apr 2006 | A1 |
20060084879 | Nazarian et al. | Apr 2006 | A1 |
20060122520 | Banet et al. | Jun 2006 | A1 |
20060123885 | Yates et al. | Jun 2006 | A1 |
20060140425 | Berg et al. | Jun 2006 | A1 |
20060142665 | Garay et al. | Jun 2006 | A1 |
20060202816 | Crump et al. | Sep 2006 | A1 |
20060205083 | Zhao | Sep 2006 | A1 |
20060210058 | Kock et al. | Sep 2006 | A1 |
20060211922 | Al-Ali et al. | Sep 2006 | A1 |
20060211924 | Dalke et al. | Sep 2006 | A1 |
20060217598 | Miyajima et al. | Sep 2006 | A1 |
20060224059 | Swedlow et al. | Oct 2006 | A1 |
20060240558 | Zhao | Oct 2006 | A1 |
20060246342 | MacPhee | Nov 2006 | A1 |
20060251277 | Cho | Nov 2006 | A1 |
20060251334 | Oba et al. | Nov 2006 | A1 |
20060252999 | Devaul et al. | Nov 2006 | A1 |
20060264730 | Stivoric et al. | Nov 2006 | A1 |
20060287590 | McEowen | Dec 2006 | A1 |
20060292533 | Selod | Dec 2006 | A1 |
20060293921 | McCarthy et al. | Dec 2006 | A1 |
20070004449 | Sham | Jan 2007 | A1 |
20070004969 | Kong et al. | Jan 2007 | A1 |
20070015992 | Filkins et al. | Jan 2007 | A1 |
20070021206 | Sunnen | Jan 2007 | A1 |
20070027367 | Oliver et al. | Feb 2007 | A1 |
20070027399 | Chou | Feb 2007 | A1 |
20070036383 | Romero | Feb 2007 | A1 |
20070050215 | Kil et al. | Mar 2007 | A1 |
20070060800 | Drinan et al. | Mar 2007 | A1 |
20070060819 | Altshuler et al. | Mar 2007 | A1 |
20070063850 | Devaul et al. | Mar 2007 | A1 |
20070082789 | Nissila et al. | Apr 2007 | A1 |
20070083092 | Rippo et al. | Apr 2007 | A1 |
20070083095 | Rippo et al. | Apr 2007 | A1 |
20070088221 | Stahmann | Apr 2007 | A1 |
20070093702 | Yu et al. | Apr 2007 | A1 |
20070106167 | Kinast | May 2007 | A1 |
20070112273 | Rogers | May 2007 | A1 |
20070112598 | Heckerman et al. | May 2007 | A1 |
20070116314 | Grilliot et al. | May 2007 | A1 |
20070118043 | Oliver et al. | May 2007 | A1 |
20070118054 | Pinhas et al. | May 2007 | A1 |
20070135717 | Uenishi et al. | Jun 2007 | A1 |
20070165872 | Bridger et al. | Jul 2007 | A1 |
20070167850 | Russell et al. | Jul 2007 | A1 |
20070191718 | Nakamura | Aug 2007 | A1 |
20070197878 | Shklarski | Aug 2007 | A1 |
20070197881 | Wolf et al. | Aug 2007 | A1 |
20070213020 | Novac | Sep 2007 | A1 |
20070230714 | Armstrong | Oct 2007 | A1 |
20070233403 | Alwan et al. | Oct 2007 | A1 |
20070265097 | Havukainen | Nov 2007 | A1 |
20070270667 | Coppi et al. | Nov 2007 | A1 |
20070270671 | Gal | Nov 2007 | A1 |
20070293781 | Sims et al. | Dec 2007 | A1 |
20070299330 | Couronne et al. | Dec 2007 | A1 |
20080001735 | Tran | Jan 2008 | A1 |
20080004536 | Baxi et al. | Jan 2008 | A1 |
20080015424 | Bernreuter | Jan 2008 | A1 |
20080039731 | McCombie et al. | Feb 2008 | A1 |
20080076972 | Dorogusker et al. | Mar 2008 | A1 |
20080081963 | Naghavi et al. | Apr 2008 | A1 |
20080081972 | Debreczeny | Apr 2008 | A1 |
20080086533 | Neuhauser et al. | Apr 2008 | A1 |
20080096726 | Riley et al. | Apr 2008 | A1 |
20080114220 | Banet et al. | May 2008 | A1 |
20080132798 | Hong et al. | Jun 2008 | A1 |
20080133699 | Craw et al. | Jun 2008 | A1 |
20080141301 | Azzaro et al. | Jun 2008 | A1 |
20080154098 | Morris et al. | Jun 2008 | A1 |
20080154105 | Lemay | Jun 2008 | A1 |
20080165017 | Schwartz | Jul 2008 | A1 |
20080170600 | Sattler et al. | Jul 2008 | A1 |
20080171945 | Dotter | Jul 2008 | A1 |
20080177162 | Bae et al. | Jul 2008 | A1 |
20080200774 | Luo | Aug 2008 | A1 |
20080203144 | Kim | Aug 2008 | A1 |
20080221414 | Baker, Jr. | Sep 2008 | A1 |
20080221461 | Zhou et al. | Sep 2008 | A1 |
20080249594 | Dietrich et al. | Oct 2008 | A1 |
20080287752 | Stroetz et al. | Nov 2008 | A1 |
20080312517 | Genoe et al. | Dec 2008 | A1 |
20090005662 | Petersen et al. | Jan 2009 | A1 |
20090006457 | Stivoric et al. | Jan 2009 | A1 |
20090010461 | Klinghult et al. | Jan 2009 | A1 |
20090010556 | Uchibayashi et al. | Jan 2009 | A1 |
20090030350 | Yang et al. | Jan 2009 | A1 |
20090054751 | Babashan et al. | Feb 2009 | A1 |
20090054752 | Jonnalagadda et al. | Feb 2009 | A1 |
20090069645 | Nielsen et al. | Mar 2009 | A1 |
20090082994 | Schuler et al. | Mar 2009 | A1 |
20090088611 | Buschmann | Apr 2009 | A1 |
20090093687 | Telfort et al. | Apr 2009 | A1 |
20090105548 | Bart | Apr 2009 | A1 |
20090105556 | Fricke et al. | Apr 2009 | A1 |
20090112101 | Furness, III et al. | Apr 2009 | A1 |
20090131761 | Moroney, III et al. | May 2009 | A1 |
20090131764 | Lee et al. | May 2009 | A1 |
20090175456 | Johnson | Jul 2009 | A1 |
20090177097 | Ma et al. | Jul 2009 | A1 |
20090214060 | Chuang et al. | Aug 2009 | A1 |
20090221888 | Wijesiriwardana | Sep 2009 | A1 |
20090227853 | Wijesiriwardana | Sep 2009 | A1 |
20090240125 | Such et al. | Sep 2009 | A1 |
20090253992 | Van Der Loo | Oct 2009 | A1 |
20090253996 | Lee et al. | Oct 2009 | A1 |
20090264711 | Schuler et al. | Oct 2009 | A1 |
20090270698 | Shioi et al. | Oct 2009 | A1 |
20090281435 | Ahmed et al. | Nov 2009 | A1 |
20090287067 | Dorogusker et al. | Nov 2009 | A1 |
20090299215 | Zhang | Dec 2009 | A1 |
20100004517 | Bryenton et al. | Jan 2010 | A1 |
20100022861 | Cinbis et al. | Jan 2010 | A1 |
20100045663 | Chen et al. | Feb 2010 | A1 |
20100100013 | Hu et al. | Apr 2010 | A1 |
20100113948 | Yang et al. | May 2010 | A1 |
20100168531 | Shaltis et al. | Jul 2010 | A1 |
20100172522 | Mooring et al. | Jul 2010 | A1 |
20100179389 | Moroney, III et al. | Jul 2010 | A1 |
20100185105 | Baldinger | Jul 2010 | A1 |
20100217100 | Leboeuf et al. | Aug 2010 | A1 |
20100217102 | Leboeuf et al. | Aug 2010 | A1 |
20100217103 | Abdul-Hafiz et al. | Aug 2010 | A1 |
20100222655 | Starr et al. | Sep 2010 | A1 |
20100228315 | Nielsen | Sep 2010 | A1 |
20100234714 | Mercier et al. | Sep 2010 | A1 |
20100268056 | Picard et al. | Oct 2010 | A1 |
20100274100 | Behar et al. | Oct 2010 | A1 |
20100274109 | Hu et al. | Oct 2010 | A1 |
20100292589 | Goodman | Nov 2010 | A1 |
20100298653 | McCombie et al. | Nov 2010 | A1 |
20110028810 | Van Slyke et al. | Feb 2011 | A1 |
20110028813 | Watson et al. | Feb 2011 | A1 |
20110066007 | Banet | Mar 2011 | A1 |
20110081037 | Oh et al. | Apr 2011 | A1 |
20110098112 | Leboeuf et al. | Apr 2011 | A1 |
20110105869 | Wilson et al. | May 2011 | A1 |
20110112382 | Li et al. | May 2011 | A1 |
20110130638 | Raridan | Jun 2011 | A1 |
20110142371 | King et al. | Jun 2011 | A1 |
20110178564 | Keefe | Jul 2011 | A1 |
20110288379 | Wu | Nov 2011 | A1 |
20120030547 | Raptis et al. | Feb 2012 | A1 |
20120095303 | He | Apr 2012 | A1 |
20120150052 | Buchheim et al. | Jun 2012 | A1 |
20120156933 | Kreger et al. | Jun 2012 | A1 |
20120172702 | Koyrakh | Jul 2012 | A1 |
20120179011 | Moon et al. | Jul 2012 | A1 |
20120190948 | Vetter | Jul 2012 | A1 |
20120203081 | Leboeuf et al. | Aug 2012 | A1 |
20120226111 | Leboeuf et al. | Sep 2012 | A1 |
20120226112 | Leboeuf et al. | Sep 2012 | A1 |
20120277548 | Burton | Nov 2012 | A1 |
20120296184 | Leboeuf et al. | Nov 2012 | A1 |
20130053661 | Alberth et al. | Feb 2013 | A1 |
20130072765 | Kahn et al. | Mar 2013 | A1 |
20130197377 | Kishi et al. | Aug 2013 | A1 |
20130245387 | Patel | Sep 2013 | A1 |
20130336495 | Burgett et al. | Dec 2013 | A1 |
20140012105 | Leboeuf et al. | Jan 2014 | A1 |
20140051940 | Messerschmidt | Feb 2014 | A1 |
20140051948 | Leboeuf et al. | Feb 2014 | A1 |
20140052567 | Bhardwaj et al. | Feb 2014 | A1 |
20140058220 | Leboeuf et al. | Feb 2014 | A1 |
20140073486 | Ahmed et al. | Mar 2014 | A1 |
20140088433 | Shan | Mar 2014 | A1 |
20140094663 | Leboeuf et al. | Apr 2014 | A1 |
20140100432 | Golda et al. | Apr 2014 | A1 |
20140114147 | Romesburg | Apr 2014 | A1 |
20140127996 | Park et al. | May 2014 | A1 |
20140128690 | Leboeuf | May 2014 | A1 |
20140135596 | Leboeuf et al. | May 2014 | A1 |
20140140567 | Leboeuf et al. | May 2014 | A1 |
20140171755 | LeBoeuf | Jun 2014 | A1 |
20140213863 | Loseu et al. | Jul 2014 | A1 |
20140219467 | Kurtz | Aug 2014 | A1 |
20140228649 | Rayner et al. | Aug 2014 | A1 |
20140235967 | Leboeuf et al. | Aug 2014 | A1 |
20140235968 | Leboeuf et al. | Aug 2014 | A1 |
20140236531 | Carter | Aug 2014 | A1 |
20140243617 | Leboeuf et al. | Aug 2014 | A1 |
20140243620 | Leboeuf et al. | Aug 2014 | A1 |
20140275852 | Hong et al. | Sep 2014 | A1 |
20140275854 | Venkatraman et al. | Sep 2014 | A1 |
20140275855 | Leboeuf et al. | Sep 2014 | A1 |
20140276119 | Venkatraman et al. | Sep 2014 | A1 |
20140287833 | Leboeuf et al. | Sep 2014 | A1 |
20140288392 | Hong et al. | Sep 2014 | A1 |
20140288396 | Leboeuf et al. | Sep 2014 | A1 |
20140288436 | Venkatraman et al. | Sep 2014 | A1 |
20140323829 | Leboeuf et al. | Oct 2014 | A1 |
20140323830 | Leboeuf et al. | Oct 2014 | A1 |
20140323880 | Ahmed et al. | Oct 2014 | A1 |
20140327515 | Luna | Nov 2014 | A1 |
20140378844 | Fei | Dec 2014 | A1 |
20150011898 | Romesburg | Jan 2015 | A1 |
20150018636 | Romesburg | Jan 2015 | A1 |
20150025393 | Hong et al. | Jan 2015 | A1 |
20150031967 | Leboeuf et al. | Jan 2015 | A1 |
20150032009 | Leboeuf et al. | Jan 2015 | A1 |
20150057967 | Albinali | Feb 2015 | A1 |
20150080741 | Leboeuf et al. | Mar 2015 | A1 |
20150080746 | Bleich et al. | Mar 2015 | A1 |
20150157269 | Lisogurski | Jun 2015 | A1 |
20150190085 | Nathan et al. | Jul 2015 | A1 |
20150196256 | Venkatraman et al. | Jul 2015 | A1 |
20150250396 | Ahmed et al. | Sep 2015 | A1 |
20150265217 | Penders et al. | Sep 2015 | A1 |
20150282768 | Luna et al. | Oct 2015 | A1 |
20150289820 | Miller et al. | Oct 2015 | A1 |
20150305682 | Leboeuf et al. | Oct 2015 | A1 |
20150342481 | Liu et al. | Dec 2015 | A1 |
20150366509 | Romesburg | Dec 2015 | A1 |
20160022220 | Lee et al. | Jan 2016 | A1 |
20160029964 | Leboeuf et al. | Feb 2016 | A1 |
20160038045 | Shapiro | Feb 2016 | A1 |
20160051157 | Waydo | Feb 2016 | A1 |
20160089033 | Saponas et al. | Mar 2016 | A1 |
20160089086 | Lin | Mar 2016 | A1 |
20160094899 | Aumer et al. | Mar 2016 | A1 |
20160120476 | Liu | May 2016 | A1 |
20160206247 | Morland et al. | Jul 2016 | A1 |
20160287108 | Wei et al. | Oct 2016 | A1 |
20160361021 | Salehizadeh et al. | Dec 2016 | A1 |
20170007166 | Roovers et al. | Jan 2017 | A1 |
20170034615 | Mankodi et al. | Feb 2017 | A1 |
20170112447 | Aumer et al. | Apr 2017 | A1 |
20170232294 | Kruger | Aug 2017 | A1 |
20170290549 | Romesburg | Oct 2017 | A1 |
20180020979 | Wagner et al. | Jan 2018 | A1 |
20180049645 | Romesburg | Feb 2018 | A1 |
20180146926 | Ishikawa | May 2018 | A1 |
Number | Date | Country |
---|---|---|
2015101130 | Oct 2015 | AU |
101212927 | Jul 2008 | CN |
201438747 | Apr 2010 | CN |
3910749 | Oct 1990 | DE |
1297784 | Apr 2003 | EP |
1480278 | Nov 2004 | EP |
1908401 | Apr 2008 | EP |
2077091 | Jul 2009 | EP |
2182839 | May 2010 | EP |
2667769 | Dec 2013 | EP |
2408209 | May 2005 | GB |
2411719 | Sep 2005 | GB |
07241279 | Sep 1995 | JP |
09253062 | Sep 1997 | JP |
09299342 | Nov 1997 | JP |
2000-116611 | Apr 2000 | JP |
2001-025462 | Jan 2001 | JP |
2003-159221 | Jun 2003 | JP |
2004-513750 | May 2004 | JP |
2004-283523 | Oct 2004 | JP |
2005-040261 | Feb 2005 | JP |
2005-270544 | Oct 2005 | JP |
2007-044203 | Feb 2007 | JP |
2007-185348 | Jul 2007 | JP |
2008-136556 | Jun 2008 | JP |
2008-279061 | Nov 2008 | JP |
2009-153664 | Jul 2009 | JP |
2010-526646 | Aug 2010 | JP |
2014-068733 | Apr 2014 | JP |
20-0204510 | Nov 2000 | KR |
0024064 | Apr 2000 | WO |
0047108 | Aug 2000 | WO |
0108552 | Feb 2001 | WO |
0217782 | Mar 2002 | WO |
2005010568 | Feb 2005 | WO |
2005020121 | Mar 2005 | WO |
2005036212 | Apr 2005 | WO |
2005110238 | Nov 2005 | WO |
2006009830 | Jan 2006 | WO |
2006067690 | Jun 2006 | WO |
2007012931 | Feb 2007 | WO |
2007053146 | May 2007 | WO |
2008141306 | Nov 2008 | WO |
2011127063 | Oct 2011 | WO |
2013019494 | Feb 2013 | WO |
2013038296 | Mar 2013 | WO |
2013109389 | Jul 2013 | WO |
2013109390 | Jul 2013 | WO |
2014092932 | Jun 2014 | WO |
2014196119 | Dec 2014 | WO |
2015068066 | May 2015 | WO |
2015128226 | Sep 2015 | WO |
2015131065 | Sep 2015 | WO |
2017027551 | Feb 2017 | WO |
Entry |
---|
Fukushima et al. “Estimating Heart Rate using Wrist-type Photoplethysmography and Acceleration sensor while running” 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 2901-2904) (Sep. 2012). |
Asada et al. “Mobile Monitoring with Wearable Photoplethysmographic Biosensors” IEEE Engineering in Medicine and Biology Magazine (pp. 28-40) (May/Jun. 2003). |
Bifulco et al. “Bluetooth Portable Device for Continuous ECG and Patient Motion Monitoring During Daily Life” Medicon 2007 IFMBE Proceedings 16:369-372 (2007). |
Brodersen et al. “In-Ear Acquisition of Vital Signs Discloses New Chances for Preventive Continuous Cardiovascular Monitoring” 4th International Workshop on Wearable and Implantable Body Sensor Networks 13:189-194 (2007). |
Celka et al. “Motion Resistant Earphone Located Infrared based Heart Rate Measurement Device” Proceedings of the Second IASTED International Conference on Biomedical Engineering (pp. 582-585) (Feb. 16-18, 2004). |
Comtois “Implementation of Accelerometer-Based Adaptive Noise Cancellation in a Wireless Wearable Pulse Oximeter Platform for Remote Physiological Monitoring and Triage” Thesis, Worcester Polytechnic Institute (149 pages) (Aug. 31, 2007). |
Comtois et al. “A Wearable Wireless Reflectance Pulse Oximeter for Remote Triage Applications” IEEE (pp. 53-54) (2006). |
Comtois et al. “A Comparative Evaluation of Adaptive Noise Cancellation Algorithms for Minimizing Motion Artifacts in a Forehead-Mounted Wearable Pulse Oximeter” Proceedings of the 29th Annual International Conference of the IEEE EMBS (pp. 1528-1531) (Aug. 23-26, 2007). |
Duun et al. “A Novel Ring Shaped Photodiode for Reflectance Pulse Oximetry in Wireless Applications” IEEE Sensors 2007 Conference (pp. 596-599) (2007). |
FiTrainer “The Only Trainer You Need” http://itami.com © 2008 FiTrainer™ (2 pages) (Downloaded Feb. 26, 2010). |
Fleming et al. “A Comparison of Signal Processing Techniques for the Extraction of Breathing Rate from the Photoplethysmorgram” World Academy of Science, Engineering and Technology 30:276-280 (Oct. 2007). |
Geun et al. “Measurement Site and Applied Pressure Consideration in Wrist Photoplethysmography” The 23rd International Technical Conference on Circuits/Systems, Computers and Communications (pp. 1129-1132) (2008). |
Gibbs et al. “Active motion artifact cancellation for wearable health monitoring sensors using collocated MEMS accelerometers” Proc. of SPIE Smart Structures and Materials, 2005: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 5765:811-819 (2005). |
Gibbs et al. “Reducing Motion Artifact in Wearable Bio-Sensors Using MEMS Accelerometers for Active Noise Cancellation” 2005 American Control Conference 1581-1586 (Jun. 8-10, 2005). |
Haahr et al. “A Wearable “Electronic Patch” for Wireless Continuous Monitoring of Chronically Diseased Patients” Proceedings of the 5th International Workshop on Wearable and Implantable Body Sensor Networks, in conjunction with the 5th International Summer School and Symposium on Medical Devices and Biosensors (pp. 66-70) (Jun. 1-3, 2008). |
Han et al. “Artifacts in wearable photoplethysmographs during daily life motions and their reduction with least mean square based active noise cancellation method” Computers in Biology and Medicine 42:387-393 (Apr. 2012). |
Han et al. “Development of a wearable health monitoring device with motion artifact reduced algorithm” International Conference on Control, Automation and Systems 2007 (ICCAS 2007) (pp. 1581-1584) (Oct. 17-20, 2007). |
Jiang “Motion-Artifact Resistant Design of Photoplethysmograph Ring Sensor for Driver Monitoring” Thesis, Massachusetts Institute of Technology (62 pages) (Feb. 2004). |
Kuzmina et al. “Compact multi-functional skin spectrometry set-up” Advanced Optical Materials, Technologies, and Devices, Proc. of SPIE 6596:65960T-1-65960T-6 (2007). |
Lee et al. “A Mobile Care System With Alert Mechanism” IEEE Transactions on Information Technology in Biomedicine 11(5):507-517 (Sep. 2007). |
Lee et al. “Respiratory Rate Detection Algorithms by Photoplethysmography Signal Processing” 30th Annual International IEEE EMBS Conference (pp. 1140-1143) (Aug. 20-24, 2008). |
Lindberg et al. “Monitoring of respiratory and heart rates using a fibre-optic sensor” Med Biol Eng Comput 30(5):533-537 (Sep. 1992). |
Luprano “Sensors and Parameter Extraction by Wearable Systems: Present Situation and Future” pHealth 2008 (29 pages) (May 21, 2008). |
Lygouras et al. “Optical-Fiber Finger Photo-Plethysmograph Using Digital Techniques” IEEE Sensors Journal 2(1):20-25 (Feb. 2002). |
Maguire et al. “The Design and Clinical Use of a Reflective Brachial Photoplethysmograph” Signals and Systems Research Group, National University of Ireland (13 pages) (Apr. 2002). |
Mendelson et al. “Measurement Site and Photodetector Size Considerations in Optimizing Power Consumption of a Wearable Reflectance Pulse Oximeter” Proceedings of the 25th Annual International Conference of the IEEE EMBS (pp. 3016-3019) (Sep. 17-21, 2003). |
Mendelson et al. “Noninvasive Pulse Oximetry Utilizing Skin Reflectance Photoplethysmography” IEEE Transactions on Biomedical Engineering 35(10):798-805 (Oct. 1988). |
Nakajima et al. “Monitoring of heart and respiratory rates by photoplethysmography using a digital filtering technique” Med. Eng. Phys. 18(5):365-372 (Jul. 1996). |
Notification of Transmittal of the International Search Report and the Written Opinion of the International Searching Authority, or the Declaration, in corresponding PCT Application No. PCT/US2017/041006 (15 pages) (dated Sep. 6, 2017). |
Poh et al. “Motion Tolerant Magnetic Earring Sensor and Wireless Earpiece for Wearable Photoplethysmography” IEEE Transactions on Information Technology in Biomedicine 14(3):786-794 (May 2010). |
Renevey et al. “Wrist-Located Pulse Detection Using IR Signals, Activity and Nonlinear Artifact Cancellation” IEEE EMBS (4 pages) (2001). |
Rhee et al. “Artifact-Resistant Power-Efficient Design of Finger-Ring Plethysmographic Sensors” IEEE Transactions on Biomedical Engineering 48(7):795-805 (Jul. 2001). |
Shaltis “Analysis and Validation of an Artifact Resistant Design for Oxygen Saturation Measurement Using Photo Plethysmographic Ring Sensors” Thesis, Massachusetts Institute of Technology (103 pages) (Jun. 2004). |
Shaw et al. “Warfighter Physiological and Environmental Monitoring: A Study for the U.S. Army Research Institute in Environmental Medicine and the Soldier Systems Center” Massachusetts Institute of Technology Lincoln Laboratory (141 pages) (Nov. 1, 2004). |
Shin et al. “A Novel Headset with a Transmissive PPG Sensor for Heart Rate Measurement” 13th International Conference on Biomedical Engineering (pp. 519-522) (2009). |
Spigulis et al. “Wearable wireless photoplethysmography sensors” Proc. of SPIE 6991:69912O-1-69912O-7 (2008). |
Takatani et al. “Optical Oximetry Sensors for Whole Blood and Tissue” IEEE Engineering in Medicine and Biology (pp. 347-357) (Jun./Jul. 1994). |
Vogel et al. “A System for Assessing Motion Artifacts in the Signal of a Micro-Optic In-Ear Vital Signs Sensor” 30th Annual International IEEE EMBS Conference (Aug. 20-24, 2008). |
Vogel et al. “In-Ear Heart Rate Monitoring Using a Micro-Optic Reflective Sensor” Proceedings of the 29th Annual International Conference of the IEEE EMBS Cite Internationale (pp. 1375-1378) (Aug. 23-26, 2007). |
Wang et al. “Multichannel Reflective PPG Earpiece Sensor With Passive Motion Cancellation” IEEE Transactions on Biomedical Circuits and Systems 1(4):235-241 (Dec. 2007). |
Wang et al. “Reflective Photoplethysmograph Earpiece Sensor for Ubiquitous Heart Rate Monitoring” 4th International Workshop on Wearable and Implantable Body Sensor Networks IFMBE Proceedings 13:179-183 (2007). |
Webster, John G. “Design of Pulse Oximeters” Medical Science Series, Institute of Physics Publication (143 pages) (Aug. 1997). |
Wei et al. “A New Wristband Wearable Sensor Using Adaptive Reduction Filter to Reduce Motion Artifact” Proceedings of the 5th International Conference on Information Technology and Application in Biomedicine, in conjunction with The 2nd International Symposium & Summer School on Biomedical and Health Engineering (pp. 278-281) (May 30-31, 2008). |
Wikipedia “Least mean squares filter” Retrieved at URL: https://en.wikipedia.org/wiki/Least_mean_squares_filter (6 pages) (Retrieved on Mar. 17, 2016). |
Wood “Motion Artifact Reduction for Wearable Photoplethysmogram Sensors Using Micro Accelerometers and Laguerre Series Adaptive Filters” Thesis, Massachusetts Institute of Technology (74 pages) (Jun. 2008). |
Wood et al. “Active Motion Artifact Reduction for Wearable Sensors Using Laguerre Expansion and Signal Separation” Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference (pp. 3571-3574) (Sep. 1-4, 2005). |
Number | Date | Country | |
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20180008200 A1 | Jan 2018 | US |
Number | Date | Country | |
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62359962 | Jul 2016 | US |