Multi-stream data collection system for noninvasive measurement of blood constituents

Information

  • Patent Grant
  • 10743803
  • Patent Number
    10,743,803
  • Date Filed
    Monday, March 30, 2020
    4 years ago
  • Date Issued
    Tuesday, August 18, 2020
    3 years ago
Abstract
The present disclosure relates to noninvasive methods, devices, and systems for measuring various blood constituents or analytes, such as glucose. In an embodiment, a light source comprises LEDs and super-luminescent LEDs. The light source emits light at at least wavelengths of about 1610 nm, about 1640 nm, and about 1665 nm. In an embodiment, the detector comprises a plurality of photodetectors arranged in a special geometry comprising one of a substantially linear substantially equal spaced geometry, a substantially linear substantially non-equal spaced geometry, and a substantially grid geometry.
Description

The foregoing applications are hereby incorporated by reference in their entirety.


BACKGROUND

The standard of care in caregiver environments includes patient monitoring through spectroscopic analysis using, for example, a pulse oximeter. Devices capable of spectroscopic analysis generally include a light source(s) transmitting optical radiation into or reflecting off a measurement site, such as, body tissue carrying pulsing blood. After attenuation by tissue and fluids of the measurement site, a photodetection device(s) detects the attenuated light and outputs a detector signal(s) responsive to the detected attenuated light. A signal processing device(s) process the detector(s) signal(s) and outputs a measurement indicative of a blood constituent of interest, such as glucose, oxygen, met hemoglobin, total hemoglobin, other physiological parameters, or other data or combinations of data useful in determining a state or trend of wellness of a patient.


In noninvasive devices and methods, a sensor is often adapted to position a finger proximate the light source and light detector. For example, noninvasive sensors often include a clothespin-shaped housing that includes a contoured bed conforming generally to the shape of a finger.


SUMMARY

This disclosure describes embodiments of noninvasive methods, devices, and systems for measuring a blood constituent or analyte, such as oxygen, carbon monoxide, methemoglobin, total hemoglobin, glucose, proteins, glucose, lipids, a percentage thereof (e.g., saturation) or for measuring many other physiologically relevant patient characteristics. These characteristics can relate, for example, to pulse rate, hydration, trending information and analysis, and the like.


In an embodiment, the system includes a noninvasive sensor and a patient monitor communicating with the noninvasive sensor. The non-invasive sensor may include different architectures to implement some or all of the disclosed features. In addition, an artisan will recognize that the non-invasive sensor may include or may be coupled to other components, such as a network interface, and the like. Moreover, the patient monitor may include a display device, a network interface communicating with any one or combination of a computer network, a handheld computing device, a mobile phone, the Internet, or the like. In addition, embodiments may include multiple optical sources that emit light at a plurality of wavelengths and that are arranged from the perspective of the light detector(s) as a point source.


In an embodiment, a noninvasive device is capable of producing a signal responsive to light attenuated by tissue at a measurement site. The device may comprise an optical source and a plurality of photodetectors. The optical source is configured to emit optical radiation at least at wavelengths between about 1600 nm and about 1700 nm. The photodetectors are configured to detect the optical radiation from said optical source after attenuation by the tissue of the measurement site and each output a respective signal stream responsive to the detected optical radiation.


In an embodiment, a noninvasive, physiological sensor is capable of outputting a signal responsive to a blood analyte present in a monitored patient. The sensor may comprise a sensor housing, an optical source, and photodetectors. The optical source is positioned by the housing with respect to a tissue site of a patient when said housing is applied to the patient. The photodetectors are positioned by the housing with respect to said tissue site when the housing is applied to the patient with a variation in path length among at least some of the photodetectors from the optical source. The photodetectors are configured to detect a sequence of optical radiation from the optical source after attenuation by tissue of the tissue site. The photodetectors may be each configured to output a respective signal stream responsive to the detected sequence of optical radiation. An output signal responsive to one or more of the signal streams is then usable to determine the blood analyte based at least in part on the variation in path length.


In an embodiment, a method of measuring an analyte based on multiple streams of optical radiation measured from a measurement site is provided. A sequence of optical radiation pulses is emitted to the measurement site. At a first location, a first stream of optical radiation is detected from the measurement site. At least at one additional location different from the first location, an additional stream of optical radiation is detected from the measurement site. An output measurement value indicative of the analyte is then determined based on the detected streams of optical radiation.


In various embodiments, the present disclosure relates to an interface for a noninvasive sensor that comprises a front-end adapted to receive an input signals from optical detectors and provide corresponding output signals. In an embodiment, the front-end is comprised of switched-capacitor circuits that are capable of handling multiple streams of signals from the optical detectors. In another embodiment, the front-end comprises transimpedance amplifiers that are capable of handling multiple streams of input signals. In addition, the transimpedance amplifiers may be configured based on the characteristics of the transimpedance amplifier itself, the characteristics of the photodiodes, and the number of photodiodes coupled to the transimpedance amplifier.


In disclosed embodiments, the front-ends are employed in noninvasive sensors to assist in measuring and detecting various analytes. The disclosed noninvasive sensor may also include, among other things, emitters and detectors positioned to produce multi-stream sensor information. An artisan will recognize that the noninvasive sensor may have different architectures and may include or be coupled to other components, such as a display device, a network interface, and the like. An artisan will also recognize that the front-ends may be employed in any type of noninvasive sensor.


In an embodiment, a front-end interface for a noninvasive, physiological sensor comprises: a set of inputs configured to receive signals from a plurality of detectors in the sensor; a set of transimpedance amplifiers configured to convert the signals from the plurality of detectors into an output signal having a stream for each of the plurality of detectors; and an output configured to provide the output signal.


In an embodiment, a front-end interface for a noninvasive, physiological sensor comprises: a set of inputs configured to receive signals from a plurality of detectors in the sensor; a set of switched capacitor circuits configured to convert the signals from the plurality of detectors into a digital output signal having a stream for each of the plurality of detectors; and an output configured to provide the digital output signal.


In an embodiment, a conversion processor for a physiological, noninvasive sensor comprises: a multi-stream input configured to receive signals from a plurality of detectors in the sensor, wherein the signals are responsive to optical radiation from a tissue site; a modulator that converts the multi-stream input into a digital bit-stream; and a signal processor that produces an output signal from the digital bit-stream.


In an embodiment, a front-end interface for a noninvasive, physiological sensor comprises: a set of inputs configured to receive signals from a plurality of detectors in the sensor; a set of respective transimpedance amplifiers for each detector configured to convert the signals from the plurality of detectors into an output signal having a stream for each of the plurality of detectors; and an output configured to provide the output signal.


In certain embodiments, a noninvasive sensor interfaces with tissue at a measurement site and deforms the tissue in a way that increases signal gain in certain desired wavelengths.


In some embodiments, a detector for the sensor may comprise a set of photodiodes that are arranged in a spatial configuration. This spatial configuration may allow, for example, signal analysis for measuring analytes like glucose. In various embodiments, the detectors can be arranged across multiple locations in a spatial configuration. The spatial configuration provides a geometry having a diversity of path lengths among the detectors. For example, the detector in the sensor may comprise multiple detectors that are arranged to have a sufficient difference in mean path length to allow for noise cancellation and noise reduction.


In an embodiment, a physiological, noninvasive detector is configured to detect optical radiation from a tissue site. The detector comprises a set of photodetectors and a conversion processor. The set of photodetectors each provide a signal stream indicating optical radiation from the tissue site. The set of photodetectors are arranged in a spatial configuration that provides a variation in path lengths between at least some of the photodetectors. The conversion processor that provides information indicating an analyte in the tissue site based on ratios of pairs of the signal streams.


The present disclosure, according to various embodiments, relates to noninvasive methods, devices, and systems for measuring a blood analyte, such as glucose. In the present disclosure, blood analytes are measured noninvasively based on multi-stream infrared and near-infrared spectroscopy. In some embodiments, an emitter may include one or more sources that are configured as a point optical source. In addition, the emitter may be operated in a manner that allows for the measurement of an analyte like glucose. In embodiments, the emitter may comprise a plurality of LEDs that emit a sequence of pulses of optical radiation across a spectrum of wavelengths. In addition, in order to achieve the desired SNR for detecting analytes like glucose, the emitter may be driven using a progression from low power to higher power. The emitter may also have its duty cycle modified to achieve a desired SNR.


In an embodiment, a multi-stream emitter for a noninvasive, physiological device configured to transmit optical radiation in a tissue site comprises: a set of optical sources arranged as a point optical source; and a driver configured to drive the at least one light emitting diode and at least one optical source to transmit near-infrared optical radiation at sufficient power to measure an analyte in tissue that responds to near-infrared optical radiation.


In an embodiment, an emitter for a noninvasive, physiological device configured to transmit optical radiation in a tissue site comprises: a point optical source comprising an optical source configured to transmit infrared and near-infrared optical radiation to a tissue site; and a driver configured to drive the point optical source at a sufficient power and noise tolerance to effectively provide attenuated optical radiation from a tissue site that indicates an amount of glucose in the tissue site.


In an embodiment, a method of transmitting a stream of pulses of optical radiation in a tissue site is provided. At least one pulse of infrared optical radiation having a first pulse width is transmitted at a first power. At least one pulse of near-infrared optical radiation is transmitted at a power that is higher than the first power.


In an embodiment, a method of transmitting a stream of pulses of optical radiation in a tissue site is provided. At least one pulse of infrared optical radiation having a first pulse width is transmitted at a first power. At least one pulse of near-infrared optical radiation is then transmitted, at a second power that is higher than the first power.


For purposes of summarizing the disclosure, certain aspects, advantages and novel features of the inventions have been described herein. It is to be understood that not necessarily all such advantages can be achieved in accordance with any particular embodiment of the inventions disclosed herein. Thus, the inventions disclosed herein can be embodied or carried out in a manner that achieves or optimizes one advantage or group of advantages as taught herein without necessarily achieving other advantages as can be taught or suggested herein.





BRIEF DESCRIPTION OF THE DRAWINGS

Throughout the drawings, reference numbers can be re-used to indicate correspondence between referenced elements. The drawings are provided to illustrate embodiments of the inventions described herein and not to limit the scope thereof.



FIG. 1 illustrates a block diagram of an example data collection system capable of noninvasively measuring one or more blood analytes in a monitored patient, according to an embodiment of the disclosure;



FIGS. 2A-2D illustrate an exemplary handheld monitor and an exemplary noninvasive optical sensor of the patient monitoring system of FIG. 1, according to embodiments of the disclosure;



FIGS. 3A-3C illustrate side and perspective views of an exemplary noninvasive sensor housing including a finger bed protrusion and heat sink, according to an embodiment of the disclosure;



FIG. 3D illustrates a side view of another example noninvasive sensor housing including a heat sink, according to an embodiment of the disclosure;



FIG. 3E illustrates a perspective view of an example noninvasive sensor detector shell including example detectors, according to an embodiment of the disclosure;



FIG. 3F illustrates a side view of an example noninvasive sensor housing including a finger bed protrusion and heat sink, according to an embodiment of the disclosure;



FIGS. 4A through 4C illustrate top elevation, side and top perspective views of an example protrusion, according to an embodiment of the disclosure;



FIG. 5 illustrates an example graph depicting possible effects of a protrusion on light transmittance, according to an embodiment of the disclosure;



FIGS. 6A through 6D illustrate perspective, front elevation, side and top views of another example protrusion, according to an embodiment of the disclosure;



FIG. 6E illustrates an example sensor incorporating the protrusion of FIGS. 6A through 6D, according to an embodiment of the disclosure;



FIGS. 7A through 7B illustrate example arrangements of conductive glass that may be employed in the system of FIG. 1, according to embodiments of the disclosure;



FIGS. 8A through 8D illustrate an example top elevation view, side views, and a bottom elevation view of the conductive glass that may be employed in the system of FIG. 1, according to embodiments of the disclosure;



FIG. 9 shows example comparative results obtained by an embodiment of a sensor;



FIGS. 10A and 10B illustrate comparative noise floors of various embodiments of the present disclosure;



FIG. 11A illustrates an exemplary emitter that may be employed in the sensor, according to an embodiment of the disclosure;



FIG. 11B illustrates a configuration of emitting optical radiation into a measurement site for measuring blood constituents, according to an embodiment of the disclosure;



FIG. 11C illustrates another exemplary emitter that may be employed in the sensor according to an embodiment of the disclosure;



FIG. 11D illustrates another exemplary emitter that may be employed in the sensor according to an embodiment of the disclosure;



FIG. 12A illustrates an example detector portion that may be employed in an embodiment of a sensor, according to an embodiment of the disclosure;



FIGS. 12B through 12D illustrate exemplary arrangements of detectors that may be employed in an embodiment of the sensor, according to some embodiments of the disclosure;



FIGS. 12E through 12H illustrate exemplary structures of photodiodes that may be employed in embodiments of the detectors, according to some embodiments of the disclosure;



FIG. 13 illustrates an example multi-stream operation of the system of FIG. 1, according to an embodiment of the disclosure;



FIG. 14A illustrates another example detector portion having a partially cylindrical protrusion that can be employed in an embodiment of a sensor, according to an embodiment of the disclosure;



FIG. 14B depicts a front elevation view of the partially cylindrical protrusion of FIG. 14A;



FIGS. 14C through 14E illustrate embodiments of a detector submount;



FIGS. 14F through 14H illustrate embodiment of portions of a detector shell;



FIG. 14I illustrates a cutaway view of an embodiment of a sensor;



FIGS. 15A through 15F illustrate embodiments of sensors that include heat sink features;



FIGS. 15G and 15H illustrate embodiments of connector features that can be used with any of the sensors described herein;



FIG. 15I illustrates an exemplary architecture for a transimpedance-based front-end that may be employed in any of the sensors described herein;



FIG. 15J illustrates an exemplary noise model for configuring the transimpedance-based front-ends shown in FIG. 15I;



FIG. 15K shows different architectures and layouts for various embodiments of a sensor and its detectors;



FIG. 15L illustrates an exemplary architecture for a switched-capacitor-based front-end that may be employed in any of the sensors described herein;



FIGS. 16A and 16B illustrate embodiments of disposable optical sensors;



FIG. 17 illustrates an exploded view of certain components of an example sensor; and



FIGS. 18 through 22 illustrate various results obtained by an exemplary sensor of the disclosure.





DETAILED DESCRIPTION

The present disclosure generally relates to non-invasive medical devices. In the present disclosure, a sensor can measure various blood constituents or analytes noninvasively using multi-stream spectroscopy. In an embodiment, the multi-stream spectroscopy can employ visible, infrared and near infrared wavelengths. As disclosed herein, the sensor is capable of noninvasively measuring blood analytes or percentages thereof (e.g., saturation) based on various combinations of features and components.


In various embodiments, the present disclosure relates to an interface for a noninvasive glucose sensor that comprises a front-end adapted to receive an input signals from optical detectors and provide corresponding output signals. The front-end may comprise, among other things, switched capacitor circuits or transimpedance amplifiers. In an embodiment, the front-end may comprise switched capacitor circuits that are configured to convert the output of sensor's detectors into a digital signal. In another embodiment, the front-end may comprise transimpedance amplifiers. These transimpedance amplifiers may be configured to match one or more photodiodes in a detector based on a noise model that accounts for characteristics, such as the impedance, of the transimpedance amplifier, characteristics of each photodiode, such as the impedance, and the number of photodiodes coupled to the transimpedance amplifier.


In the present disclosure, the front-ends are employed in a sensor that measures various blood analytes noninvasively using multi-stream spectroscopy. In an embodiment, the multi-stream spectroscopy can employ visible, infrared and near infrared wavelengths. As disclosed herein, the sensor is capable of noninvasively measuring blood analytes, such as glucose, total hemoglobin, methemoglobin, oxygen content, and the like, based on various combinations of features and components.


In an embodiment, a physiological sensor includes a detector housing that can be coupled to a measurement site, such as a patient's finger. The sensor housing can include a curved bed that can generally conform to the shape of the measurement site. In addition, the curved bed can include a protrusion shaped to increase an amount of light radiation from the measurement site. In an embodiment, the protrusion is used to thin out the measurement site. This allows the light radiation to pass through less tissue, and accordingly is attenuated less. In an embodiment, the protrusion can be used to increase the area from which attenuated light can be measured. In an embodiment, this is done through the use of a lens which collects attenuated light exiting the measurement site and focuses onto one or more detectors. The protrusion can advantageously include plastic, including a hard opaque plastic, such as a black or other colored plastic, helpful in reducing light noise. In an embodiment, such light noise includes light that would otherwise be detected at a photodetector that has not been attenuated by tissue of the measurement site of a patient sufficient to cause the light to adequately included information indicative of one or more physiological parameters of the patient. Such light noise includes light piping.


In an embodiment, the protrusion can be formed from the curved bed, or can be a separate component that is positionable with respect to the bed. In an embodiment, a lens made from any appropriate material is used as the protrusion. The protrusion can be convex in shape. The protrusion can also be sized and shaped to conform the measurement site into a flat or relatively flat surface. The protrusion can also be sized to conform the measurement site into a rounded surface, such as, for example, a concave or convex surface. The protrusion can include a cylindrical or partially cylindrical shape. The protrusion can be sized or shaped differently for different types of patients, such as an adult, child, or infant. The protrusion can also be sized or shaped differently for different measurement sites, including, for example, a finger, toe, hand, foot, ear, forehead, or the like. The protrusion can thus be helpful in any type of noninvasive sensor. The external surface of the protrusion can include one or more openings or windows. The openings can be made from glass to allow attenuated light from a measurement site, such as a finger, to pass through to one or more detectors. Alternatively, some of all of the protrusion can be a lens, such as a partially cylindrical lens.


The sensor can also include a shielding, such as a metal enclosure as described below or embedded within the protrusion to reduce noise. The shielding can be constructed from a conductive material, such as copper, in the form of a metal cage or enclosure, such as a box. The shielding can include a second set of one or more openings or windows. The second set of openings can be made from glass and allow light that has passed through the first set of windows of the external surface of the protrusion to pass through to one or more detectors that can be enclosed, for example, as described below.


In various embodiments, the shielding can include any substantially transparent, conductive material placed in the optical path between an emitter and a detector. The shielding can be constructed from a transparent material, such as glass, plastic, and the like. The shielding can have an electrically conductive material or coating that is at least partially transparent. The electrically conductive coating can be located on one or both sides of the shielding, or within the body of the shielding. In addition, the electrically conductive coating can be uniformly spread over the shielding or may be patterned. Furthermore, the coating can have a uniform or varying thickness to increase or optimize its shielding effect. The shielding can be helpful in virtually any type of noninvasive sensor that employs spectroscopy.


In an embodiment, the sensor can also include a heat sink. In an embodiment, the heat sink can include a shape that is functional in its ability to dissipate excess heat and aesthetically pleasing to the wearer. For example, the heat sink can be configured in a shape that maximizes surface area to allow for greater dissipation of heat. In an embodiment, the heat sink includes a metalicized plastic, such as plastic including carbon and aluminum to allow for improved thermal conductivity and diffusivity. In an embodiment, the heat sink can advantageously be inexpensively molded into desired shapes and configurations for aesthetic and functional purposes. For example, the shape of the heat sink can be a generally curved surface and include one or more fins, undulations, grooves or channels, or combs.


The sensor can include photocommunicative components, such as an emitter, a detector, and other components. The emitter can include a plurality of sets of optical sources that, in an embodiment, are arranged together as a point source. The various optical sources can emit a sequence of optical radiation pulses at different wavelengths towards a measurement site, such as a patient's finger. Detectors can then detect optical radiation from the measurement site. The optical sources and optical radiation detectors can operate at any appropriate wavelength, including, as discussed herein, infrared, near infrared, visible light, and ultraviolet. In addition, the optical sources and optical radiation detectors can operate at any appropriate wavelength, and such modifications to the embodiments desirable to operate at any such wavelength will be apparent to those skilled in the art.


In certain embodiments, multiple detectors are employed and arranged in a spatial geometry. This spatial geometry provides a diversity of path lengths among at least some of the detectors and allows for multiple bulk and pulsatile measurements that are robust. Each of the detectors can provide a respective output stream based on the detected optical radiation, or a sum of output streams can be provided from multiple detectors. In some embodiments, the sensor can also include other components, such as one or more heat sinks and one or more thermistors.


The spatial configuration of the detectors provides a geometry having a diversity of path lengths among the detectors. For example, a detector in the sensor may comprise multiple detectors that are arranged to have a sufficient difference in mean path length to allow for noise cancellation and noise reduction. In addition, walls may be used to separate individual photodetectors and prevent mixing of detected optical radiation between the different locations on the measurement site. A window may also be employed to facilitate the passing of optical radiation at various wavelengths for measuring glucose in the tissue.


In the present disclosure, a sensor may measure various blood constituents or analytes noninvasively using spectroscopy and a recipe of various features. As disclosed herein, the sensor is capable of non-invasively measuring blood analytes, such as, glucose, total hemoglobin, methemoglobin, oxygen content, and the like. In an embodiment, the spectroscopy used in the sensor can employ visible, infrared and near infrared wavelengths. The sensor may comprise an emitter, a detector, and other components. In some embodiments, the sensor may also comprise other components, such as one or more heat sinks and one or more thermistors.


In various embodiments, the sensor may also be coupled to one or more companion devices that process and/or display the sensor's output. The companion devices may comprise various components, such as a sensor front-end, a signal processor, a display, a network interface, a storage device or memory, etc.


A sensor can include photocommunicative components, such as an emitter, a detector, and other components. The emitter is configured as a point optical source that comprises a plurality of LEDs that emit a sequence of pulses of optical radiation across a spectrum of wavelengths. In some embodiments, the plurality of sets of optical sources may each comprise at least one top-emitting LED and at least one super luminescent LED. In some embodiments, the emitter comprises optical sources that transmit optical radiation in the infrared or near-infrared wavelengths suitable for detecting blood analytes like glucose. In order to achieve the desired SNR for detecting analytes like glucose, the emitter may be driven using a progression from low power to higher power. In addition, the emitter may have its duty cycle modified to achieve a desired SNR.


The emitter may be constructed of materials, such as aluminum nitride and may include a heat sink to assist in heat dissipation. A thermistor may also be employed to account for heating effects on the LEDs. The emitter may further comprise a glass window and a nitrogen environment to improve transmission from the sources and prevent oxidative effects.


The sensor can be coupled to one or more monitors that process and/or display the sensor's output. The monitors can include various components, such as a sensor front end, a signal processor, a display, etc.


The sensor can be integrated with a monitor, for example, into a handheld unit including the sensor, a display and user controls. In other embodiments, the sensor can communicate with one or more processing devices. The communication can be via wire(s), cable(s), flex circuit(s), wireless technologies, or other suitable analog or digital communication methodologies and devices to perform those methodologies. Many of the foregoing arrangements allow the sensor to be attached to the measurement site while the device is attached elsewhere on a patient, such as the patient's arm, or placed at a location near the patient, such as a bed, shelf or table. The sensor or monitor can also provide outputs to a storage device or network interface.


Reference will now be made to the Figures to discuss embodiments of the present disclosure.



FIG. 1 illustrates an example of a data collection system 100. In certain embodiments, the data collection system 100 noninvasively measure a blood analyte, such as oxygen, carbon monoxide, methemoglobin, total hemoglobin, glucose, proteins, glucose, lipids, a percentage thereof (e.g., saturation) or for measuring many other physiologically relevant patient characteristics. The system 100 can also measure additional blood analytes and/or other physiological parameters useful in determining a state or trend of wellness of a patient.


The data collection system 100 can be capable of measuring optical radiation from the measurement site. For example, in some embodiments, the data collection system 100 can employ photodiodes defined in terms of area. In an embodiment, the area is from about 1 mm2-5 mm2 (or higher) that are capable of detecting about 100 nanoamps (nA) or less of current resulting from measured light at full scale. In addition to having its ordinary meaning, the phrase “at full scale” can mean light saturation of a photodiode amplifier (not shown). Of course, as would be understood by a person of skill in the art from the present disclosure, various other sizes and types of photodiodes can be used with the embodiments of the present disclosure.


The data collection system 100 can measure a range of approximately about 2 nA to about 100 nA full scale. The data collection system 100 can also include sensor front-ends that are capable of processing and amplifying current from the detector(s) at signal-to-noise ratios (SNRs) of about 100 decibels (dB) or more, such as about 120 dB in order to measure various desired analytes. The data collection system 100 can operate with a lower SNR if less accuracy is desired for an analyte like glucose.


The data collection system 100 can measure analyte concentrations, including glucose, at least in part by detecting light attenuated by a measurement site 102. The measurement site 102 can be any location on a patient's body, such as a finger, foot, ear lobe, or the like. For convenience, this disclosure is described primarily in the context of a finger measurement site 102. However, the features of the embodiments disclosed herein can be used with other measurement sites 102.


In the depicted embodiment, the system 100 includes an optional tissue thickness adjuster or tissue shaper 105, which can include one or more protrusions, bumps, lenses, or other suitable tissue-shaping mechanisms. In certain embodiments, the tissue shaper 105 is a flat or substantially flat surface that can be positioned proximate the measurement site 102 and that can apply sufficient pressure to cause the tissue of the measurement site 102 to be flat or substantially flat. In other embodiments, the tissue shaper 105 is a convex or substantially convex surface with respect to the measurement site 102. Many other configurations of the tissue shaper 105 are possible. Advantageously, in certain embodiments, the tissue shaper 105 reduces thickness of the measurement site 102 while preventing or reducing occlusion at the measurement site 102. Reducing thickness of the site can advantageously reduce the amount of attenuation of the light because there is less tissue through which the light must travel. Shaping the tissue in to a convex (or alternatively concave) surface can also provide more surface area from which light can be detected.


The embodiment of the data collection system 100 shown also includes an optional noise shield 103. In an embodiment, the noise shield 103 can be advantageously adapted to reduce electromagnetic noise while increasing the transmittance of light from the measurement site 102 to one or more detectors 106 (described below). For example, the noise shield 103 can advantageously include a conductive coated glass or metal grid electrically communicating with one or more other shields of the sensor 101 or electrically grounded. In an embodiment where the noise shield 103 includes conductive coated glass, the coating can advantageously include indium tin oxide. In an embodiment, the indium tin oxide includes a surface resistivity ranging from approximately 30 ohms per square inch to about 500 ohms per square inch. In an embodiment, the resistivity is approximately 30, 200, or 500 ohms per square inch. As would be understood by a person of skill in the art from the present disclosure, other resistivities can also be used which are less than about 30 ohms or more than about 500 ohms. Other conductive materials transparent or substantially transparent to light can be used instead.


In some embodiments, the measurement site 102 is located somewhere along a non-dominant arm or a non-dominant hand, e.g., a right-handed person's left arm or left hand. In some patients, the non-dominant arm or hand can have less musculature and higher fat content, which can result in less water content in that tissue of the patient. Tissue having less water content can provide less interference with the particular wavelengths that are absorbed in a useful manner by blood analytes like glucose. Accordingly, in some embodiments, the data collection system 100 can be used on a person's non-dominant hand or arm.


The data collection system 100 can include a sensor 101 (or multiple sensors) that is coupled to a processing device or physiological monitor 109. In an embodiment, the sensor 101 and the monitor 109 are integrated together into a single unit. In another embodiment, the sensor 101 and the monitor 109 are separate from each other and communicate one with another in any suitable manner, such as via a wired or wireless connection. The sensor 101 and monitor 109 can be attachable and detachable from each other for the convenience of the user or caregiver, for ease of storage, sterility issues, or the like. The sensor 101 and the monitor 109 will now be further described.


In the depicted embodiment shown in FIG. 1, the sensor 101 includes an emitter 104, a tissue shaper 105, a set of detectors 106, and a front-end interface 108. The emitter 104 can serve as the source of optical radiation transmitted towards measurement site 102. As will be described in further detail below, the emitter 104 can include one or more sources of optical radiation, such as LEDs, laser diodes, incandescent bulbs with appropriate frequency-selective filters, combinations of the same, or the like. In an embodiment, the emitter 104 includes sets of optical sources that are capable of emitting visible and near-infrared optical radiation.


In some embodiments, the emitter 104 is used as a point optical source, and thus, the one or more optical sources of the emitter 104 can be located within a close distance to each other, such as within about a 2 mm to about 4 mm. The emitters 104 can be arranged in an array, such as is described in U.S. Publication No. 2006/0211924, filed Sep. 21, 2006, titled “Multiple Wavelength Sensor Emitters,” the disclosure of which is hereby incorporated by reference in its entirety. In particular, the emitters 104 can be arranged at least in part as described in paragraphs [0061] through [0068] of the aforementioned publication, which paragraphs are hereby incorporated specifically by reference. Other relative spatial relationships can be used to arrange the emitters 104.


For analytes like glucose, currently available non-invasive techniques often attempt to employ light near the water absorbance minima at or about 1600 nm. Typically, these devices and methods employ a single wavelength or single band of wavelengths at or about 1600 nm. However, to date, these techniques have been unable to adequately consistently measure analytes like glucose based on spectroscopy.


In contrast, the emitter 104 of the data collection system 100 can emit, in certain embodiments, combinations of optical radiation in various bands of interest. For example, in some embodiments, for analytes like glucose, the emitter 104 can emit optical radiation at three (3) or more wavelengths between about 1600 nm to about 1700 nm. In particular, the emitter 104 can emit optical radiation at or about 1610 nm, about 1640 nm, and about 1665 nm. In some circumstances, the use of three wavelengths within about 1600 nm to about 1700 nm enable sufficient SNRs of about 100 dB, which can result in a measurement accuracy of about 20 mg/dL or better for analytes like glucose.


In other embodiments, the emitter 104 can use two (2) wavelengths within about 1600 nm to about 1700 nm to advantageously enable SNRs of about 85 dB, which can result in a measurement accuracy of about 25-30 mg/dL or better for analytes like glucose. Furthermore, in some embodiments, the emitter 104 can emit light at wavelengths above about 1670 nm. Measurements at these wavelengths can be advantageously used to compensate or confirm the contribution of protein, water, and other non-hemoglobin species exhibited in measurements for analytes like glucose conducted between about 1600 nm and about 1700 nm. Of course, other wavelengths and combinations of wavelengths can be used to measure analytes and/or to distinguish other types of tissue, fluids, tissue properties, fluid properties, combinations of the same or the like.


For example, the emitter 104 can emit optical radiation across other spectra for other analytes. In particular, the emitter 104 can employ light wavelengths to measure various blood analytes or percentages (e.g., saturation) thereof. For example, in one embodiment, the emitter 104 can emit optical radiation in the form of pulses at wavelengths about 905 nm, about 1050 nm, about 1200 nm, about 1300 nm, about 1330 nm, about 1610 nm, about 1640 nm, and about 1665 nm. In another embodiment, the emitter 104 can emit optical radiation ranging from about 860 nm to about 950 nm, about 950 nm to about 1100 nm, about 1100 nm to about 1270 nm, about 1250 nm to about 1350 nm, about 1300 nm to about 1360 nm, and about 1590 nm to about 1700 nm. Of course, the emitter 104 can transmit any of a variety of wavelengths of visible or near-infrared optical radiation.


Due to the different responses of analytes to the different wavelengths, certain embodiments of the data collection system 100 can advantageously use the measurements at these different wavelengths to improve the accuracy of measurements. For example, the measurements of water from visible and infrared light can be used to compensate for water absorbance that is exhibited in the near-infrared wavelengths.


As briefly described above, the emitter 104 can include sets of light-emitting diodes (LEDs) as its optical source. The emitter 104 can use one or more top-emitting LEDs. In particular, in some embodiments, the emitter 104 can include top-emitting LEDs emitting light at about 850 nm to 1350 nm.


The emitter 104 can also use super luminescent LEDs (SLEDs) or side-emitting LEDs. In some embodiments, the emitter 104 can employ SLEDs or side-emitting LEDs to emit optical radiation at about 1600 nm to about 1800 nm. Emitter 104 can use SLEDs or side-emitting LEDs to transmit near infrared optical radiation because these types of sources can transmit at high power or relatively high power, e.g., about 40 mW to about 100 mW. This higher power capability can be useful to compensate or overcome the greater attenuation of these wavelengths of light in tissue and water. For example, the higher power emission can effectively compensate and/or normalize the absorption signal for light in the mentioned wavelengths to be similar in amplitude and/or effect as other wavelengths that can be detected by one or more photodetectors after absorption. However, the embodiments of the present disclosure do not necessarily require the use of high power optical sources. For example, some embodiments may be configured to measure analytes, such as total hemoglobin (tHb), oxygen saturation (SpO2), carboxyhemoglobin, methemoglobin, etc., without the use of high power optical sources like side emitting LEDs. Instead, such embodiments may employ other types of optical sources, such as top emitting LEDs. Alternatively, the emitter 104 can use other types of sources of optical radiation, such as a laser diode, to emit near-infrared light into the measurement site 102.


In addition, in some embodiments, in order to assist in achieving a comparative balance of desired power output between the LEDs, some of the LEDs in the emitter 104 can have a filter or covering that reduces and/or cleans the optical radiation from particular LEDs or groups of LEDs. For example, since some wavelengths of light can penetrate through tissue relatively well, LEDs, such as some or all of the top-emitting LEDs can use a filter or covering, such as a cap or painted dye. This can be useful in allowing the emitter 104 to use LEDs with a higher output and/or to equalize intensity of LEDs.


The data collection system 100 also includes a driver 111 that drives the emitter 104. The driver 111 can be a circuit or the like that is controlled by the monitor 109. For example, the driver 111 can provide pulses of current to the emitter 104. In an embodiment, the driver 111 drives the emitter 104 in a progressive fashion, such as in an alternating manner. The driver 111 can drive the emitter 104 with a series of pulses of about 1 milliwatt (mW) for some wavelengths that can penetrate tissue relatively well and from about 40 mW to about 100 mW for other wavelengths that tend to be significantly absorbed in tissue. A wide variety of other driving powers and driving methodologies can be used in various embodiments.


The driver 111 can be synchronized with other parts of the sensor 101 and can minimize or reduce jitter in the timing of pulses of optical radiation emitted from the emitter 104. In some embodiments, the driver 111 is capable of driving the emitter 104 to emit optical radiation in a pattern that varies by less than about 10 parts-per-million.


The detectors 106 capture and measure light from the measurement site 102. For example, the detectors 106 can capture and measure light transmitted from the emitter 104 that has been attenuated or reflected from the tissue in the measurement site 102. The detectors 106 can output a detector signal 107 responsive to the light captured or measured. The detectors 106 can be implemented using one or more photodiodes, phototransistors, or the like.


In addition, the detectors 106 can be arranged with a spatial configuration to provide a variation of path lengths among at least some of the detectors 106. That is, some of the detectors 106 can have the substantially, or from the perspective of the processing algorithm, effectively, the same path length from the emitter 104. However, according to an embodiment, at least some of the detectors 106 can have a different path length from the emitter 104 relative to other of the detectors 106. Variations in path lengths can be helpful in allowing the use of a bulk signal stream from the detectors 106. In some embodiments, the detectors 106 may employ a linear spacing, a logarithmic spacing, or a two or three dimensional matrix of spacing, or any other spacing scheme in order to provide an appropriate variation in path lengths.


The front end interface 108 provides an interface that adapts the output of the detectors 106, which is responsive to desired physiological parameters. For example, the front end interface 108 can adapt a signal 107 received from one or more of the detectors 106 into a form that can be processed by the monitor 109, for example, by a signal processor 110 in the monitor 109. The front end interface 108 can have its components assembled in the sensor 101, in the monitor 109, in connecting cabling (if used), combinations of the same, or the like. The location of the front end interface 108 can be chosen based on various factors including space desired for components, desired noise reductions or limits, desired heat reductions or limits, and the like.


The front end interface 108 can be coupled to the detectors 106 and to the signal processor 110 using a bus, wire, electrical or optical cable, flex circuit, or some other form of signal connection. The front end interface 108 can also be at least partially integrated with various components, such as the detectors 106. For example, the front end interface 108 can include one or more integrated circuits that are on the same circuit board as the detectors 106. Other configurations can also be used.


The front end interface 108 can be implemented using one or more amplifiers, such as transimpedance amplifiers, that are coupled to one or more analog to digital converters (ADCs) (which can be in the monitor 109), such as a sigma-delta ADC. A transimpedance-based front end interface 108 can employ single-ended circuitry, differential circuitry, and/or a hybrid configuration. A transimpedance-based front end interface 108 can be useful for its sampling rate capability and freedom in modulation/demodulation algorithms. For example, this type of front end interface 108 can advantageously facilitate the sampling of the ADCs being synchronized with the pulses emitted from the emitter 104.


The ADC or ADCs can provide one or more outputs into multiple channels of digital information for processing by the signal processor 110 of the monitor 109. Each channel can correspond to a signal output from a detector 106.


In some embodiments, a programmable gain amplifier (PGA) can be used in combination with a transimpedance-based front end interface 108. For example, the output of a transimpedance-based front end interface 108 can be output to a PGA that is coupled with an ADC in the monitor 109. A PGA can be useful in order to provide another level of amplification and control of the stream of signals from the detectors 106. Alternatively, the PGA and ADC components can be integrated with the transimpedance-based front end interface 108 in the sensor 101.


In another embodiment, the front end interface 108 can be implemented using switched-capacitor circuits. A switched-capacitor-based front end interface 108 can be useful for, in certain embodiments, its resistor-free design and analog averaging properties. In addition, a switched-capacitor-based front end interface 108 can be useful because it can provide a digital signal to the signal processor 110 in the monitor 109.


As shown in FIG. 1, the monitor 109 can include the signal processor 110 and a user interface, such as a display 112. The monitor 109 can also include optional outputs alone or in combination with the display 112, such as a storage device 114 and a network interface 116. In an embodiment, the signal processor 110 includes processing logic that determines measurements for desired analytes, such as glucose, based on the signals received from the detectors 106. The signal processor 110 can be implemented using one or more microprocessors or subprocessors (e.g., cores), digital signal processors, application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), combinations of the same, and the like.


The signal processor 110 can provide various signals that control the operation of the sensor 101. For example, the signal processor 110 can provide an emitter control signal to the driver 111. This control signal can be useful in order to synchronize, minimize, or reduce jitter in the timing of pulses emitted from the emitter 104. Accordingly, this control signal can be useful in order to cause optical radiation pulses emitted from the emitter 104 to follow a precise timing and consistent pattern. For example, when a transimpedance-based front end interface 108 is used, the control signal from the signal processor 110 can provide synchronization with the ADC in order to avoid aliasing, cross-talk, and the like. As also shown, an optional memory 113 can be included in the front-end interface 108 and/or in the signal processor 110. This memory 113 can serve as a buffer or storage location for the front-end interface 108 and/or the signal processor 110, among other uses.


The user interface 112 can provide an output, e.g., on a display, for presentation to a user of the data collection system 100. The user interface 112 can be implemented as a touch-screen display, an LCD display, an organic LED display, or the like. In addition, the user interface 112 can be manipulated to allow for measurement on the non-dominant side of patient. For example, the user interface 112 can include a flip screen, a screen that can be moved from one side to another on the monitor 109, or can include an ability to reorient its display indicia responsive to user input or device orientation. In alternative embodiments, the data collection system 100 can be provided without a user interface 112 and can simply provide an output signal to a separate display or system.


A storage device 114 and a network interface 116 represent other optional output connections that can be included in the monitor 109. The storage device 114 can include any computer-readable medium, such as a memory device, hard disk storage, EEPROM, flash drive, or the like. The various software and/or firmware applications can be stored in the storage device 114, which can be executed by the signal processor 110 or another processor of the monitor 109. The network interface 116 can be a serial bus port (RS-232/RS-485), a Universal Serial Bus (USB) port, an Ethernet port, a wireless interface (e.g., WiFi such as any 802.1x interface, including an internal wireless card), or other suitable communication device(s) that allows the monitor 109 to communicate and share data with other devices. The monitor 109 can also include various other components not shown, such as a microprocessor, graphics processor, or controller to output the user interface 112, to control data communications, to compute data trending, or to perform other operations.


Although not shown in the depicted embodiment, the data collection system 100 can include various other components or can be configured in different ways. For example, the sensor 101 can have both the emitter 104 and detectors 106 on the same side of the measurement site 102 and use reflectance to measure analytes. The data collection system 100 can also include a sensor that measures the power of light emitted from the emitter 104.



FIGS. 2A through 2D illustrate example monitoring devices 200 in which the data collection system 100 can be housed. Advantageously, in certain embodiments, some or all of the example monitoring devices 200 shown can have a shape and size that allows a user to operate it with a single hand or attach it, for example, to a patient's body or limb. Although several examples are shown, many other monitoring device configurations can be used to house the data collection system 100. In addition, certain of the features of the monitoring devices 200 shown in FIGS. 2A through 2D can be combined with features of the other monitoring devices 200 shown.


Referring specifically to FIG. 2A, an example monitoring device 200A is shown, in which a sensor 201a and a monitor 209a are integrated into a single unit. The monitoring device 200A shown is a handheld or portable device that can measure glucose and other analytes in a patient's finger. The sensor 201a includes an emitter shell 204a and a detector shell 206a. The depicted embodiment of the monitoring device 200A also includes various control buttons 208a and a display 210a.


The sensor 201a can be constructed of white material used for reflective purposes (such as white silicone or plastic), which can increase the usable signal at the detector 106 by forcing light back into the sensor 201a. Pads in the emitter shell 204a and the detector shell 206a can contain separated windows to prevent or reduce mixing of light signals, for example, from distinct quadrants on a patient's finger. In addition, these pads can be made of a relatively soft material, such as a gel or foam, in order to conform to the shape, for example, of a patient's finger. The emitter shell 204a and the detector shell 206a can also include absorbing black or grey material portions to prevent or reduce ambient light from entering into the sensor 201a.


In some embodiments, some or all portions of the emitter shell 204a and/or detector shell 206a can be detachable and/or disposable. For example, some or all portions of the shells 204a and 206a can be removable pieces. The removability of the shells 204a and 206a can be useful for sanitary purposes or for sizing the sensor 201a to different patients. The monitor 209a can include a fitting, slot, magnet, or other connecting mechanism to allow the sensor 201c to be removably attached to the monitor 209a.


The monitoring device 200a also includes optional control buttons 208a and a display 210a that can allow the user to control the operation of the device. For example, a user can operate the control buttons 208a to view one or more measurements of various analytes, such as glucose. In addition, the user can operate the control buttons 208a to view other forms of information, such as graphs, histograms, measurement data, trend measurement data, parameter combination views, wellness indications, and the like. Many parameters, trends, alarms and parameter displays could be output to the display 210a, such as those that are commercially available through a wide variety of noninvasive monitoring devices from Masimo® Corporation of Irvine, Calif.


Furthermore, the controls 208a and/or display 210a can provide functionality for the user to manipulate settings of the monitoring device 200a, such as alarm settings, emitter settings, detector settings, and the like. The monitoring device 200a can employ any of a variety of user interface designs, such as frames, menus, touch-screens, and any type of button.



FIG. 2B illustrates another example of a monitoring device 200B. In the depicted embodiment, the monitoring device 200B includes a finger clip sensor 201b connected to a monitor 209b via a cable 212. In the embodiment shown, the monitor 209b includes a display 210b, control buttons 208b and a power button. Moreover, the monitor 209b can advantageously include electronic processing, signal processing, and data storage devices capable of receiving signal data from said sensor 201b, processing the signal data to determine one or more output measurement values indicative of one or more physiological parameters of a monitored patient, and displaying the measurement values, trends of the measurement values, combinations of measurement values, and the like.


The cable 212 connecting the sensor 201b and the monitor 209b can be implemented using one or more wires, optical fiber, flex circuits, or the like. In some embodiments, the cable 212 can employ twisted pairs of conductors in order to minimize or reduce cross-talk of data transmitted from the sensor 201b to the monitor 209b. Various lengths of the cable 212 can be employed to allow for separation between the sensor 201b and the monitor 209b. The cable 212 can be fitted with a connector (male or female) on either end of the cable 212 so that the sensor 201b and the monitor 209b can be connected and disconnected from each other. Alternatively, the sensor 201b and the monitor 209b can be coupled together via a wireless communication link, such as an infrared link, radio frequency channel, or any other wireless communication protocol and channel.


The monitor 209b can be attached to the patient. For example, the monitor 209b can include a belt clip or straps (see, e.g., FIG. 2C) that facilitate attachment to a patient's belt, arm, leg, or the like. The monitor 209b can also include a fitting, slot, magnet, LEMO snap-click connector, or other connecting mechanism to allow the cable 212 and sensor 201b to be attached to the monitor 209B.


The monitor 209b can also include other components, such as a speaker, power button, removable storage or memory (e.g., a flash card slot), an AC power port, and one or more network interfaces, such as a universal serial bus interface or an Ethernet port. For example, the monitor 209b can include a display 210b that can indicate a measurement for glucose, for example, in mg/dL. Other analytes and forms of display can also appear on the monitor 209b.


In addition, although a single sensor 201b with a single monitor 209b is shown, different combinations of sensors and device pairings can be implemented. For example, multiple sensors can be provided for a plurality of differing patient types or measurement sites or even patient fingers.



FIG. 2C illustrates yet another example of monitoring device 200C that can house the data collection system 100. Like the monitoring device 200B, the monitoring device 200C includes a finger clip sensor 201c connected to a monitor 209c via a cable 212. The cable 212 can have all of the features described above with respect to FIG. 2B. The monitor 209c can include all of the features of the monitor 200B described above. For example, the monitor 209c includes buttons 208c and a display 210c. The monitor 209c shown also includes straps 214c that allow the monitor 209c to be attached to a patient's limb or the like.



FIG. 2D illustrates yet another example of monitoring device 200D that can house the data collection system 100. Like the monitoring devices 200B and 200C, the monitoring device 200D includes a finger clip sensor 201d connected to a monitor 209d via a cable 212. The cable 212 can have all of the features described above with respect to FIG. 2B. In addition to having some or all of the features described above with respect to FIGS. 2B and 2C, the monitoring device 200D includes an optional universal serial bus (USB) port 216 and an Ethernet port 218. The USB port 216 and the Ethernet port 218 can be used, for example, to transfer information between the monitor 209d and a computer (not shown) via a cable. Software stored on the computer can provide functionality for a user to, for example, view physiological data and trends, adjust settings and download firmware updates to the monitor 209b, and perform a variety of other functions. The USB port 216 and the Ethernet port 218 can be included with the other monitoring devices 200A, 200B, and 200C described above.



FIGS. 3A through 3C illustrate more detailed examples of embodiments of a sensor 301a. The sensor 301a shown can include all of the features of the sensors 100 and 200 described above.


Referring to FIG. 3A, the sensor 301a in the depicted embodiment is a clothespin-shaped clip sensor that includes an enclosure 302a for receiving a patient's finger. The enclosure 302a is formed by an upper section or emitter shell 304a, which is pivotably connected with a lower section or detector shell 306a. The emitter shell 304a can be biased with the detector shell 306a to close together around a pivot point 303a and thereby sandwich finger tissue between the emitter and detector shells 304a, 306a.


In an embodiment, the pivot point 303a advantageously includes a pivot capable of adjusting the relationship between the emitter and detector shells 304a, 306a to effectively level the sections when applied to a tissue site. In another embodiment, the sensor 301a includes some or all features of the finger clip described in U.S. Publication No. 2006/0211924, incorporated above, such as a spring that causes finger clip forces to be distributed along the finger. Paragraphs through [0105], which describe this feature, are hereby specifically incorporated by reference.


The emitter shell 304a can position and house various emitter components of the sensor 301a. It can be constructed of reflective material (e.g., white silicone or plastic) and/or can be metallic or include metalicized plastic (e.g., including carbon and aluminum) to possibly serve as a heat sink. The emitter shell 304a can also include absorbing opaque material, such as, for example, black or grey colored material, at various areas, such as on one or more flaps 307a, to reduce ambient light entering the sensor 301a.


The detector shell 306a can position and house one or more detector portions of the sensor 301a. The detector shell 306a can be constructed of reflective material, such as white silicone or plastic. As noted, such materials can increase the usable signal at a detector by forcing light back into the tissue and measurement site (see FIG. 1). The detector shell 306a can also include absorbing opaque material at various areas, such as lower area 308a, to reduce ambient light entering the sensor 301a.


Referring to FIGS. 3B and 3C, an example of finger bed 310 is shown in the sensor 301b. The finger bed 310 includes a generally curved surface shaped generally to receive tissue, such as a human digit. The finger bed 310 includes one or more ridges or channels 314. Each of the ridges 314 has a generally convex shape that can facilitate increasing traction or gripping of the patient's finger to the finger bed. Advantageously, the ridges 314 can improve the accuracy of spectroscopic analysis in certain embodiments by reducing noise that can result from a measurement site moving or shaking loose inside of the sensor 301a. The ridges 314 can be made from reflective or opaque materials in some embodiments to further increase SNR. In other implementations, other surface shapes can be used, such as, for example, generally flat, concave, or convex finger beds 310.


Finger bed 310 can also include an embodiment of a tissue thickness adjuster or protrusion 305. The protrusion 305 includes a measurement site contact area 370 (see FIG. 3C) that can contact body tissue of a measurement site. The protrusion 305 can be removed from or integrated with the finger bed 310. Interchangeable, different shaped protrusions 305 can also be provided, which can correspond to different finger shapes, characteristics, opacity, sizes, or the like.


Referring specifically to FIG. 3C, the contact area 370 of the protrusion 305 can include openings or windows 320, 321, 322, and 323. When light from a measurement site passes through the windows 320, 321, 322, and 323, the light can reach one or more photodetectors (see FIG. 3E). In an embodiment, the windows 320, 321, 322, and 323 mirror specific detector placements layouts such that light can impinge through the protrusion 305 onto the photodetectors. Any number of windows 320, 321, 322, and 323 can be employed in the protrusion 305 to allow light to pass from the measurement site to the photodetectors.


The windows 320, 321, 322, and 323 can also include shielding, such as an embedded grid of wiring or a conductive glass coating, to reduce noise from ambient light or other electromagnetic noise. The windows 320, 321, 322, and 323 can be made from materials, such as plastic or glass. In some embodiments, the windows 320, 321, 322, and 323 can be constructed from conductive glass, such as indium tin oxide (ITO) coated glass. Conductive glass can be useful because its shielding is transparent, and thus allows for a larger aperture versus a window with an embedded grid of wiring. In addition, in certain embodiments, the conductive glass does not need openings in its shielding (since it is transparent), which enhances its shielding performance. For example, some embodiments that employ the conductive glass can attain up to an about 40% to about 50% greater signal than non-conductive glass with a shielding grid. In addition, in some embodiments, conductive glass can be useful for shielding noise from a greater variety of directions than non-conductive glass with a shielding grid.


Turning to FIG. 3B, the sensor 301a can also include a shielding 315a, such as a metal cage, box, metal sheet, perforated metal sheet, a metal layer on a non-metal material, or the like. The shielding 315a is provided in the depicted embodiment below or embedded within the protrusion 305 to reduce noise. The shielding 315a can be constructed from a conductive material, such as copper. The shielding 315a can include one or more openings or windows (not shown). The windows can be made from glass or plastic to thereby allow light that has passed through the windows 320, 321, 322, and 323 on an external surface of the protrusion 305 (see FIG. 3C) to pass through to one or more photodetectors that can be enclosed or provided below (see FIG. 3E).


In some embodiments, the shielding cage for shielding 315a can be constructed in a single manufactured component with or without the use of conductive glass. This form of construction may be useful in order to reduce costs of manufacture as well as assist in quality control of the components. Furthermore, the shielding cage can also be used to house various other components, such as sigma delta components for various embodiments of front end interfaces 108.


In an embodiment, the photodetectors can be positioned within or directly beneath the protrusion 305 (see FIG. 3E). In such cases, the mean optical path length from the emitters to the detectors can be reduced and the accuracy of blood analyte measurement can increase. For example, in one embodiment, a convex bump of about 1 mm to about 3 mm in height and about 10 mm2 to about 60 mm2 was found to help signal strength by about an order of magnitude versus other shapes. Of course other dimensions and sizes can be employed in other embodiments. Depending on the properties desired, the length, width, and height of the protrusion 305 can be selected. In making such determinations, consideration can be made of protrusion's 305 effect on blood flow at the measurement site and mean path length for optical radiation passing through openings 320, 321, 322, and 323. Patient comfort can also be considered in determining the size and shape of the protrusion.


In an embodiment, the protrusion 305 can include a pliant material, including soft plastic or rubber, which can somewhat conform to the shape of a measurement site. Pliant materials can improve patient comfort and tactility by conforming the measurement site contact area 370 to the measurement site. Additionally, pliant materials can minimize or reduce noise, such as ambient light. Alternatively, the protrusion 305 can be made from a rigid material, such as hard plastic or metal.


Rigid materials can improve measurement accuracy of a blood analyte by conforming the measurement site to the contact area 370. The contact area 370 can be an ideal shape for improving accuracy or reducing noise. Selecting a material for the protrusion 305 can include consideration of materials that do not significantly alter blood flow at the measurement site. The protrusion 305 and the contact area 370 can include a combination of materials with various characteristics.


The contact area 370 serves as a contact surface for the measurement site. For example, in some embodiments, the contact area 370 can be shaped for contact with a patient's finger. Accordingly, the contact area 370 can be sized and shaped for different sizes of fingers. The contact area 370 can be constructed of different materials for reflective purposes as well as for the comfort of the patient. For example, the contact area 370 can be constructed from materials having various hardness and textures, such as plastic, gel, foam, and the like.


The formulas and analysis that follow with respect to FIG. 5 provide insight into how selecting these variables can alter transmittance and intensity gain of optical radiation that has been applied to the measurement site. These examples do not limit the scope of this disclosure.


Referring to FIG. 5, a plot 500 is shown that illustrates examples of effects of embodiments of the protrusion 305 on the SNR at various wavelengths of light. As described above, the protrusion 305 can assist in conforming the tissue and effectively reduce its mean path length. In some instances, this effect by the protrusion 305 can have significant impact on increasing the SNR.


According to the Beer Lambert law, a transmittance of light (I) can be expressed as follows: I=Io*e−m*b*c, where Io is the initial power of light being transmitted, m is the path length traveled by the light, and the component “b*c” corresponds to the bulk absorption of the light at a specific wavelength of light. For light at about 1600 nm to about 1700 nm, for example, the bulk absorption component is generally around 0.7 mm−1. Assuming a typical finger thickness of about 12 mm and a mean path length of 20 mm due to tissue scattering, then I=Io*e(−20*0.7).


In an embodiment where the protrusion 305 is a convex bump, the thickness of the finger can be reduced to 10 mm (from 12 mm) for some fingers and the effective light mean path is reduced to about 16.6 mm from 20 mm (see box 510). This results in a new transmittance, I1=Io*e(−16.6*0.7). A curve for a typical finger (having a mean path length of 20 mm) across various wavelengths is shown in the plot 500 of FIG. 5. The plot 500 illustrates potential effects of the protrusion 305 on the transmittance. As illustrated, comparing I and I1 results in an intensity gain of e(−16.6*0.7)/e(−20*0.7), which is about a 10 times increase for light in the about 1600 nm to about 1700 nm range. Such an increase can affect the SNR at which the sensor can operate. The foregoing gains can be due at least in part to the about 1600 nm to about 1700 nm range having high values in bulk absorptions (water, protein, and the like), e.g., about 0.7 mm−1. The plot 500 also shows improvements in the visible/near-infrared range (about 600 nm to about 1300 nm).


Turning again to FIGS. 3A through 3C, an example heat sink 350a is also shown. The heat sink 350a can be attached to, or protrude from an outer surface of, the sensor 301a, thereby providing increased ability for various sensor components to dissipate excess heat. By being on the outer surface of the sensor 301a in certain embodiments, the heat sink 350a can be exposed to the air and thereby facilitate more efficient cooling. In an embodiment, one or more of the emitters (see FIG. 1) generate sufficient heat that inclusion of the heat sink 350a can advantageously allows the sensor 301a to remain safely cooled. The heat sink 350a can include one or more materials that help dissipate heat, such as, for example, aluminum, steel, copper, carbon, combinations of the same, or the like. For example, in some embodiments, the emitter shell 304a can include a heat conducting material that is also readily and relatively inexpensively moldable into desired shapes and forms.


In some embodiments, the heat sink 350a includes metalicized plastic. The metalicized plastic can include aluminum and carbon, for example. The material can allow for improved thermal conductivity and diffusivity, which can increase commercial viability of the heat sink. In some embodiments, the material selected to construct the heat sink 350a can include a thermally conductive liquid crystalline polymer, such as CoolPoly® D5506, commercially available from Cool Polymers®, Inc. of Warwick, R.I. Such a material can be selected for its electrically non-conductive and dielectric properties so as, for example, to aid in electrical shielding. In an embodiment, the heat sink 350a provides improved heat transfer properties when the sensor 301a is active for short intervals of less than a full day's use. In an embodiment, the heat sink 350a can advantageously provide improved heat transfers in about three (3) to about four (4) minute intervals, for example, although a heat sink 350a can be selected that performs effectively in shorter or longer intervals.


Moreover, the heat sink 350a can have different shapes and configurations for aesthetic as well as for functional purposes. In an embodiment, the heat sink is configured to maximize heat dissipation, for example, by maximizing surface area. In an embodiment, the heat sink 350a is molded into a generally curved surface and includes one or more fins, undulations, grooves, or channels. The example heat sink 350a shown includes fins 351a (see FIG. 3A).


An alternative shape of a sensor 301b and heat sink 350b is shown in FIG. 3D. The sensor 301b can include some or all of the features of the sensor 301a. For example, the sensor 301b includes an enclosure 302b formed by an emitter shell 304b and a detector shell 306b, pivotably connected about a pivot 303a. The emitter shell 304b can also include absorbing opaque material on one or more flaps 307b, and the detector shell 306a can also include absorbing opaque material at various areas, such as lower area 308b.


However, the shape of the sensor 301b is different in this embodiment. In particular, the heat sink 350b includes comb protrusions 351b. The comb protrusions 351b are exposed to the air in a similar manner to the fins 351a of the heat sink 350a, thereby facilitating efficient cooling of the sensor 301b.



FIG. 3E illustrates a more detailed example of a detector shell 306b of the sensor 301b. The features described with respect to the detector shell 306b can also be used with the detector shell 306a of the sensor 301a.


As shown, the detector shell 306b includes detectors 316. The detectors 316 can have a predetermined spacing 340 from each other, or a spatial relationship among one another that results in a spatial configuration. This spatial configuration can purposefully create a variation of path lengths among detectors 316 and the emitter discussed above.


In the depicted embodiment, the detector shell 316 can hold multiple (e.g., two, three, four, etc.) photodiode arrays that are arranged in a two-dimensional grid pattern. Multiple photodiode arrays can also be useful to detect light piping (e.g., light that bypasses measurement site 102). In the detector shell 316, walls can be provided to separate the individual photodiode arrays to prevent or reduce mixing of light signals from distinct quadrants. In addition, the detector shell 316 can be covered by windows of transparent material, such as glass, plastic, or the like, to allow maximum or increased transmission of power light captured. In various embodiments, the transparent materials used can also be partially transparent or translucent or can otherwise pass some or all of the optical radiation passing through them. As noted, this window can include some shielding in the form of an embedded grid of wiring, or a conductive layer or coating.


As further illustrated by FIG. 3E, the detectors 316 can have a spatial configuration of a grid. However, the detectors 316 can be arranged in other configurations that vary the path length. For example, the detectors 316 can be arranged in a linear array, a logarithmic array, a two-dimensional array, a zig-zag pattern, or the like. Furthermore, any number of the detectors 316 can be employed in certain embodiments.



FIG. 3F illustrates another embodiment of a sensor 301f. The sensor 301f can include some or all of the features of the sensor 301a of FIG. 3A described above. For example, the sensor 301f includes an enclosure 302f formed by an upper section or emitter shell 304f, which is pivotably connected with a lower section or detector shell 306f around a pivot point 303f. The emitter shell 304f can also include absorbing opaque material on various areas, such as on one or more flaps 307f, to reduce ambient light entering the sensor 301f. The detector shell 306f can also include absorbing opaque material at various areas, such as a lower area 308f. The sensor 301f also includes a heat sink 350f, which includes fins 351f.


In addition to these features, the sensor 301f includes a flex circuit cover 360, which can be made of plastic or another suitable material. The flex circuit cover 360 can cover and thereby protect a flex circuit (not shown) that extends from the emitter shell 304f to the detector shell 306f. An example of such a flex circuit is illustrated in U.S. Publication No. 2006/0211924, incorporated above (see FIG. 46 and associated description, which is hereby specifically incorporated by reference). The flex circuit cover 360 is shown in more detail below in FIG. 17.


In addition, sensors 301a-f has extra length—extends to second joint on finger—Easier to place, harder to move due to cable, better for light piping.



FIGS. 4A through 4C illustrate example arrangements of a protrusion 405, which is an embodiment of the protrusion 305 described above. In an embodiment, the protrusion 405 can include a measurement site contact area 470. The measurement site contact area 470 can include a surface that molds body tissue of a measurement site, such as a finger, into a flat or relatively flat surface.


The protrusion 405 can have dimensions that are suitable for a measurement site such as a patient's finger. As shown, the protrusion 405 can have a length 400, a width 410, and a height 430. The length 400 can be from about 9 to about 11 millimeters, e.g., about 10 millimeters. The width 410 can be from about 7 to about 9 millimeters, e.g., about 8 millimeters. The height 430 can be from about 0.5 millimeters to about 3 millimeters, e.g., about 2 millimeters. In an embodiment, the dimensions 400, 410, and 430 can be selected such that the measurement site contact area 470 includes an area of about 80 square millimeters, although larger and smaller areas can be used for different sized tissue for an adult, an adolescent, or infant, or for other considerations.


The measurement site contact area 470 can also include differently shaped surfaces that conform the measurement site into different shapes. For example, the measurement site contact area 470 can be generally curved and/or convex with respect to the measurement site. The measurement site contact area 470 can be other shapes that reduce or even minimize air between the protrusion 405 and/or the measurement site. Additionally, the surface pattern of the measurement site contact area 470 can vary from smooth to bumpy, e.g., to provide varying levels of grip.


In FIGS. 4A and 4C, openings or windows 420, 421, 422, and 423 can include a wide variety of shapes and sizes, including for example, generally square, circular, triangular, or combinations thereof. The windows 420, 421, 422, and 423 can be of non-uniform shapes and sizes. As shown, the windows 420, 421, 422, and 423 can be evenly spaced out in a grid like arrangement. Other arrangements or patterns of arranging the windows 420, 421, 422, and 423 are possible. For example, the windows 420, 421, 422, and 423 can be placed in a triangular, circular, or linear arrangement. In some embodiments, the windows 420, 421, 422, and 423 can be placed at different heights with respect to the finger bed 310 of FIG. 3. The windows 420, 421, 422, and 423 can also mimic or approximately mimic a configuration of, or even house, a plurality of detectors.



FIGS. 6A through 6D illustrate another embodiment of a protrusion 605 that can be used as the tissue shaper 105 described above or in place of the protrusions 305, 405 described above. The depicted protrusion 605 is a partially cylindrical lens having a partial cylinder 608 and an extension 610. The partial cylinder 608 can be a half cylinder in some embodiments; however, a smaller or greater portion than half of a cylinder can be used. Advantageously, in certain embodiments, the partially cylindrical protrusion 605 focuses light onto a smaller area, such that fewer detectors can be used to detect the light attenuated by a measurement site.



FIG. 6A illustrates a perspective view of the partially cylindrical protrusion 605. FIG. 6B illustrates a front elevation view of the partially cylindrical protrusion 605. FIG. 6C illustrates a side view of the partially cylindrical protrusion 605. FIG. 6D illustrates a top view of the partially cylindrical protrusion 605.


Advantageously, in certain embodiments, placing the partially cylindrical protrusion 605 over the photodiodes in any of the sensors described above adds multiple benefits to any of the sensors described above. In one embodiment, the partially cylindrical protrusion 605 penetrates into the tissue and reduces the path length of the light traveling in the tissue, similar to the protrusions described above.


The partially cylindrical protrusion 605 can also collect light from a large surface and focus down the light to a smaller area. As a result, in certain embodiments, signal strength per area of the photodiode can be increased. The partially cylindrical protrusion 605 can therefore facilitate a lower cost sensor because, in certain embodiments, less photodiode area can be used to obtain the same signal strength. Less photodiode area can be realized by using smaller photodiodes or fewer photodiodes (see, e.g., FIG. 14). If fewer or smaller photodiodes are used, the partially cylindrical protrusion 605 can also facilitate an improved SNR of the sensor because fewer or smaller photodiodes can have less dark current.


The dimensions of the partially cylindrical protrusion 605 can vary based on, for instance, a number of photodiodes used with the sensor. Referring to FIG. 6C, the overall height of the partially cylindrical protrusion 605 (measurement “a”) in some implementations is about 1 to about 3 mm. A height in this range can allow the partially cylindrical protrusion 605 to penetrate into the pad of the finger or other tissue and reduce the distance that light travels through the tissue. Other heights, however, of the partially cylindrical protrusion 605 can also accomplish this objective. For example, the chosen height of the partially cylindrical protrusion 605 can be selected based on the size of the measurement site, whether the patient is an adult or child, and so on. In an embodiment, the height of the protrusion 605 is chosen to provide as much tissue thickness reduction as possible while reducing or preventing occlusion of blood vessels in the tissue.


Referring to FIG. 6D, the width of the partially cylindrical protrusion 605 (measurement “b”) can be about 3 to about 5 mm. In one embodiment, the width is about 4 mm. In one embodiment, a width in this range provides good penetration of the partially cylindrical protrusion 605 into the tissue to reduce the path length of the light. Other widths, however, of the partially cylindrical protrusion 605 can also accomplish this objective. For example, the width of the partially cylindrical protrusion 605 can vary based on the size of the measurement site, whether the patient is an adult or child, and so on. In addition, the length of the protrusion 605 could be about 10 mm, or about 8 mm to about 12 mm, or smaller than 8 mm or greater than 12 mm.


In certain embodiments, the focal length (f) for the partially cylindrical protrusion 605 can be expressed as:







f
=

R

n
-
1



,





where R is the radius of curvature of the partial cylinder 608 and n is the index of refraction of the material used. In certain embodiments, the radius of curvature can be between about 1.5 mm and about 2 mm. In another embodiment, the partially cylindrical protrusion 605 can include a material, such as nBK7 glass, with an index of refraction of around 1.5 at 1300 nm, which can provide focal lengths of between about 3 mm and about 4 mm.


A partially cylindrical protrusion 605 having a material with a higher index of refraction such as nSF11 glass (e.g., n=1.75 at 1300 nm) can provide a shorter focal length and possibly a smaller photodiode chip, but can also cause higher reflections due to the index of refraction mismatch with air. Many types of glass or plastic can be used with index of refraction values ranging from, for example, about 1.4 to about 1.9. The index of refraction of the material of the protrusion 605 can be chosen to improve or optimize the light focusing properties of the protrusion 605. A plastic partially cylindrical protrusion 605 could provide the cheapest option in high volumes but can also have some undesired light absorption peaks at wavelengths higher than 1500 nm. Other focal lengths and materials having different indices of refraction can be used for the partially cylindrical protrusion 605.


Placing a photodiode at a given distance below the partially cylindrical protrusion 605 can facilitate capturing some or all of the light traveling perpendicular to the lens within the active area of the photodiode (see FIG. 14). Different sizes of the partially cylindrical protrusion 605 can use different sizes of photodiodes. The extension 610 added onto the bottom of the partial cylinder 608 is used in certain embodiments to increase the height of the partially cylindrical protrusion 605. In an embodiment, the added height is such that the photodiodes are at or are approximately at the focal length of the partially cylindrical protrusion 605. In an embodiment, the added height provides for greater thinning of the measurement site. In an embodiment, the added height assists in deflecting light piped through the sensor. This is because light piped around the sensor passes through the side walls of the added height without being directed toward the detectors. The extension 610 can also further facilitate the protrusion 605 increasing or maximizing the amount of light that is provided to the detectors. In some embodiments, the extension 610 can be omitted.



FIG. 6E illustrates another view of the sensor 301f of FIG. 3F, which includes an embodiment of a partially cylindrical protrusion 605b. Like the sensor 301A shown in FIGS. 3B and 3C, the sensor 301f includes a finger bed 310f. The finger bed 310f includes a generally curved surface shaped generally to receive tissue, such as a human digit. The finger bed 310f also includes the ridges or channels 314 described above with respect to FIGS. 3B and 3C.


The example of finger bed 310f shown also includes the protrusion 605b, which includes the features of the protrusion 605 described above. In addition, the protrusion 605b also includes chamfered edges 607 on each end to provide a more comfortable surface for a finger to slide across (see also FIG. 14D). In another embodiment, the protrusion 605b could instead include a single chamfered edge 607 proximal to the ridges 314. In another embodiment, one or both of the chamfered edges 607 could be rounded.


The protrusion 605b also includes a measurement site contact area 670 that can contact body tissue of a measurement site. The protrusion 605b can be removed from or integrated with the finger bed 310f. Interchangeable, differently shaped protrusions 605b can also be provided, which can correspond to different finger shapes, characteristics, opacity, sizes, or the like.



FIGS. 7A and 7B illustrate block diagrams of sensors 701 that include example arrangements of conductive glass or conductive coated glass for shielding. Advantageously, in certain embodiments, the shielding can provide increased SNR. The features of the sensors 701 can be implemented with any of the sensors 101, 201, 301 described above. Although not shown, the partially cylindrical protrusion 605 of FIG. 6 can also be used with the sensors 701 in certain embodiments.


For example, referring specifically to FIG. 7A, the sensor 701a includes an emitter housing 704a and a detector housing 706. The emitter housing 704a includes LEDs 104. The detector housing 706a includes a tissue bed 710a with an opening or window 703a, the conductive glass 730a, and one or more photodiodes for detectors 106 provided on a submount 707a.


During operation, a finger 102 can be placed on the tissue bed 710a and optical radiation can be emitted from the LEDs 104. Light can then be attenuated as it passes through or is reflected from the tissue of the finger 102. The attenuated light can then pass through the opening 703a in the tissue bed 710a. Based on the received light, the detectors 106 can provide a detector signal 107, for example, to the front end interface 108 (see FIG. 1).


In the depicted embodiment, the conductive glass 730 is provided in the opening 703. The conductive glass 730 can thus not only permit light from the finger to pass to the detectors 106, but it can also supplement the shielding of the detectors 106 from noise. The conductive glass 730 can include a stack or set of layers. In FIG. 7A, the conductive glass 730a is shown having a glass layer 731 proximate the finger 102 and a conductive layer 733 electrically coupled to the shielding 790a.


In an embodiment, the conductive glass 730a can be coated with a conductive, transparent or partially transparent material, such as a thin film of indium tin oxide (ITO). To supplement electrical shielding effects of a shielding enclosure 790a, the conductive glass 730a can be electrically coupled to the shielding enclosure 790a. The conductive glass 730a can be electrically coupled to the shielding 704a based on direct contact or via other connection devices, such as a wire or another component.


The shielding enclosure 790a can be provided to encompass the detectors 106 to reduce or prevent noise. For example, the shielding enclosure 790a can be constructed from a conductive material, such as copper, in the form of a metal cage. The shielding or enclosure a can include an opaque material to not only reduce electrical noise, but also ambient optical noise.


In some embodiments, the shielding enclosure 790a can be constructed in a single manufactured component with or without the use of conductive glass. This form of construction may be useful in order to reduce costs of manufacture as well as assist in quality control of the components. Furthermore, the shielding enclosure 790a can also be used to house various other components, such as sigma delta components for various embodiments of front end interfaces 108.


Referring to FIG. 7B, another block diagram of an example sensor 701b is shown. A tissue bed 710b of the sensor 701b includes a protrusion 705b, which is in the form of a convex bump. The protrusion 705b can include all of the features of the protrusions or tissue shaping materials described above. For example, the protrusion 705b includes a contact area 370 that comes in contact with the finger 102 and which can include one or more openings 703b. One or more components of conductive glass 730b can be provided in the openings 703. For example, in an embodiment, each of the openings 703 can include a separate window of the conductive glass 730b. In an embodiment, a single piece of the conductive glass 730b can used for some or all of the openings 703b. The conductive glass 730b is smaller than the conductive glass 730a in this particular embodiment.


A shielding enclosure 790b is also provided, which can have all the features of the shielding enclosure 790a. The shielding enclosure 790b is smaller than the shielding enclosure 790a; however, a variety of sizes can be selected for the shielding enclosures 790.


In some embodiments, the shielding enclosure 790b can be constructed in a single manufactured component with or without the use of conductive glass. This form of construction may be useful in order to reduce costs of manufacture as well as assist in quality control of the components. Furthermore, the shielding enclosure 790b can also be used to house various other components, such as sigma delta components for various embodiments of front end interfaces 108.



FIGS. 8A through 8D illustrate a perspective view, side views, and a bottom elevation view of the conductive glass described above with respect to the sensors 701a, 701b. As shown in the perspective view of FIG. 8A and side view of FIG. 8B, the conductive glass 730 includes the electrically conductive material 733 described above as a coating on the glass layer 731 described above to form a stack. In an embodiment where the electrically conductive material 733 includes indium tin oxide, surface resistivity of the electrically conductive material 733 can range approximately from 30 ohms per square inch to 500 ohms per square inch, or approximately 30, 200, or 500 ohms per square inch. As would be understood by a person of skill in the art from the present disclosure, other resistivities can also be used which are less than 30 ohms or more than 500 ohms. Other transparent, electrically conductive materials can be used as the material 733.


Although the conductive material 733 is shown spread over the surface of the glass layer 731, the conductive material 733 can be patterned or provided on selected portions of the glass layer 731. Furthermore, the conductive material 733 can have uniform or varying thickness depending on a desired transmission of light, a desired shielding effect, and other considerations.


In FIG. 8C, a side view of a conductive glass 830a is shown to illustrate an embodiment where the electrically conductive material 733 is provided as an internal layer between two glass layers 731, 835. Various combinations of integrating electrically conductive material 733 with glass are possible. For example, the electrically conductive material 733 can be a layer within a stack of layers. This stack of layers can include one or more layers of glass 731, 835, as well as one or more layers of conductive material 733. The stack can include other layers of materials to achieve desired characteristics.


In FIG. 8D, a bottom perspective view is shown to illustrate an embodiment where a conductive glass 830b can include conductive material 837 that occupies or covers a portion of a glass layer 839. This embodiment can be useful, for example, to create individual, shielded windows for detectors 106, such as those shown in FIG. 3C. The conductive material 837 can be patterned to include an area 838 to allow light to pass to detectors 106 and one or more strips 841 to couple to the shielding 704 of FIG. 7.


Other configurations and patterns for the conductive material can be used in certain embodiments, such as, for example, a conductive coating lining periphery edges, a conductive coating outlaid in a pattern including a grid or other pattern, a speckled conductive coating, coating outlaid in lines in either direction or diagonally, varied thicknesses from the center out or from the periphery in, or other suitable patterns or coatings that balance the shielding properties with transparency considerations.



FIG. 9 depicts an example graph 900 that illustrates comparative results obtained by an example sensor having components similar to those disclosed above with respect to FIGS. 7 and 8. The graph 900 depicts the results of the percentage of transmission of varying wavelengths of light for different types of windows used in the sensors described above.


A line 915 on the graph 900 illustrates example light transmission of a window made from plain glass. As shown, the light transmission percentage of varying wavelengths of light is approximately 90% for a window made from plain glass. A line 920 on the graph 900 demonstrates an example light transmission percentage for an embodiment in which a window is made from glass having an ITO coating with a surface resistivity of 500 ohms per square inch. A line 925 on the graph 900 shows an example light transmission for an embodiment in which a window is made from glass that includes a coating of ITO oxide with a surface resistivity of 200 ohms per square inch. A line 930 on the graph 900 shows an example light transmission for an embodiment in which a window is made from glass that includes a coating of ITO oxide with a surface resistivity of 30 ohms per square inch.


The light transmission percentage for a window with currently available embedded wiring can have a light transmission percentage of approximately 70%. This lower percentage of light transmission can be due to the opacity of the wiring employed in a currently available window with wiring. Accordingly, certain embodiments of glass coatings described herein can employ, for example, ITO coatings with different surface resistivity depending on the desired light transmission, wavelengths of light used for measurement, desired shielding effect, and other criteria.



FIGS. 10A through 10B illustrate comparative noise floors of example implementations of the sensors described above. Noise can include optical noise from ambient light and electro-magnetic noise, for example, from surrounding electrical equipment. In FIG. 10A, a graph 1000 depicts possible noise floors for different frequencies of noise for an embodiment in which one of the sensors described above included separate windows for four (4) detectors 106. One or more of the windows included an embedded grid of wiring as a noise shield. Symbols 1030-1033 illustrate the noise floor performance for this embodiment. As can be seen, the noise floor performance can vary for each of the openings and based on the frequency of the noise.


In FIG. 10B, a graph 1050 depicts a noise floor for frequencies of noise 1070 for an embodiment in which the sensor included separate openings for four (4) detectors 106 and one or more windows that include an ITO coating. In this embodiment, a surface resistivity of the ITO used was about 500 ohms per square inch. Symbols 1080-1083 illustrate the noise floor performance for this embodiment. As can be seen, the noise floor performance for this embodiment can vary less for each of the openings and provide lower noise floors in comparison to the embodiment of FIG. 10A.



FIG. 11A illustrates an example structure for configuring the set of optical sources of the emitters described above. As shown, an emitter 104 can include a driver 1105, a thermistor 1120, a set of top-emitting LEDs 1102 for emitting red and/or infrared light, a set of side-emitting LEDs 1104 for emitting near infrared light, and a submount 1106.


The thermistor 1120 can be provided to compensate for temperature variations. For example, the thermistor 1120 can be provided to allow for wavelength centroid and power drift of LEDs 1102 and 1104 due to heating. In addition, other thermistors can be employed, for example, to measure a temperature of a measurement site. The temperature can be displayed on a display device and used by a caregiver. Such a temperature can also be helpful in correcting for wavelength drift due to changes in water absorption, which can be temperature dependent, thereby providing more accurate data useful in detecting blood analytes like glucose. In addition, using a thermistor or other type of temperature sensitive device may be useful for detecting extreme temperatures at the measurement site that are too hot or too cold. The presence of low perfusion may also be detected, for example, when the finger of a patient has become too cold. Moreover, shifts in temperature at the measurement site can alter the absorption spectrum of water and other tissue in the measurement cite. A thermistor's temperature reading can be used to adjust for the variations in absorption spectrum changes in the measurement site.


The driver 1105 can provide pulses of current to the emitter 1104. In an embodiment, the driver 1105 drives the emitter 1104 in a progressive fashion, for example, in an alternating manner based on a control signal from, for example, a processor (e.g., the processor 110). For example, the driver 1105 can drive the emitter 1104 with a series of pulses to about 1 milliwatt (mW) for visible light to light at about 1300 nm and from about 40 mW to about 100 mW for light at about 1600 nm to about 1700 nm. However, a wide number of driving powers and driving methodologies can be used. The driver 1105 can be synchronized with other parts of the sensor and can minimize or reduce any jitter in the timing of pulses of optical radiation emitted from the emitter 1104. In some embodiments, the driver 1105 is capable of driving the emitter 1104 to emit an optical radiation in a pattern that varies by less than about 10 parts-per-million; however other amounts of variation can be used.


The submount 1106 provides a support structure in certain embodiments for aligning the top-emitting LEDs 1102 and the side-emitting LEDs 1104 so that their optical radiation is transmitted generally towards the measurement site. In some embodiments, the submount 1106 is also constructed of aluminum nitride (AlN) or beryllium oxide (BEO) for heat dissipation, although other materials or combinations of materials suitable for the submount 1106 can be used.



FIG. 11B illustrates a configuration of emitting optical radiation into a measurement site for measuring a blood constituent or analyte like glucose. In some embodiments, emitter 104 may be driven in a progressive fashion to minimize noise and increase SNR of sensor 101. For example, emitter 104 may be driven based on a progression of power/current delivered to LEDs 1102 and 1104.


In some embodiments, emitter 104 may be configured to emit pulses centered about 905 nm, about 1050 nm, about 1200 nm, about 1300 nm, about 1330 nm, about 1610 nm, about 1640 nm, and about 1665 nm. In another embodiment, the emitter 104 may emit optical radiation ranging from about 860 nm to about 950 nm, about 950 nm to about 1100 nm, about 1100 nm to about 1270 nm, about 1250 nm to about 1350 nm, about 1300 nm to about 1360 nm, and about 1590 nm to about 1700 nm. Of course, emitter 104 may be configured to transmit any of a variety of wavelengths of visible, or near-infrared optical radiation.


For purposes of illustration, FIG. 11B shows a sequence of pulses of light at wavelengths of around 905 nm, around 1200 nm, around 1300 nm, and around 1330 nm from top emitting LEDs 1102. FIG. 11B also shows that emitter 104 may then emit pulses centered at around 1630 nm, around 1660 nm, and around 1615 nm from side emitting LEDs 1104. Emitter 104 may be progressively driven at higher power/current. This progression may allow driver circuit 105 to stabilize in its operations, and thus, provide a more stable current/power to LEDs 1102 and 1104.


For example, as shown in FIG. 11B, the sequence of optical radiation pulses are shown having a logarithmic-like progression in power/current. In some embodiments, the timing of these pulses is based on a cycle of about 400 slots running at 48 kHz (e.g. each time slot may be approximately 0.02 ms or 20 microseconds). An artisan will recognize that term “slots” includes its ordinary meaning, which includes a time period that may also be expressed in terms of a frequency. In the example shown, pulses from top emitting LEDs 1102 may have a pulse width of about 40 time slots (e.g., about 0.8 ms) and an off period of about 4 time slots in between. In addition, pulses from side emitting LEDs 1104 (e.g., or a laser diode) may have a pulse width of about 60 time slots (e.g., about 1.25 ms) and a similar off period of about 4 time slots. A pause of about 70 time slots (e.g. 1.5 ms) may also be provided in order to allow driver circuit 1105 to stabilize after operating at higher current/power.


As shown in FIG. 11B, top emitting LEDs 1102 may be initially driven with a power to approximately 1 mW at a current of about 20-100 mA. Power in these LEDs may also be modulated by using a filter or covering of black dye to reduce power output of LEDs. In this example, top emitting LEDs 1102 may be driven at approximately 0.02 to 0.08 mW. The sequence of the wavelengths may be based on the current requirements of top emitting LEDs 502 for that particular wavelength. Of course, in other embodiments, different wavelengths and sequences of wavelengths may be output from emitter 104.


Subsequently, side emitting LEDs 1104 may be driven at higher powers, such as about 40-100 mW and higher currents of about 600-800 mA. This higher power may be employed in order to compensate for the higher opacity of tissue and water in measurement site 102 to these wavelengths. For example, as shown, pulses at about 1630 nm, about 1660 nm, and about 1615 nm may be output with progressively higher power, such as at about 40 mW, about 50 mW, and about 60 mW, respectively. In this embodiment, the order of wavelengths may be based on the optical characteristics of that wavelength in tissue as well as the current needed to drive side emitting LEDs 1104. For example, in this embodiment, the optical pulse at about 1615 nm is driven at the highest power due to its sensitivity in detecting analytes like glucose and the ability of light at this wavelength to penetrate tissue. Of course, different wavelengths and sequences of wavelengths may be output from emitter 104.


As noted, this progression may be useful in some embodiments because it allows the circuitry of driver circuit 1105 to stabilize its power delivery to LEDs 1102 and 1104. Driver circuit 1105 may be allowed to stabilize based on the duty cycle of the pulses or, for example, by configuring a variable waiting period to allow for stabilization of driver circuit 1105. Of course, other variations in power/current and wavelength may also be employed in the present disclosure.


Modulation in the duty cycle of the individual pulses may also be useful because duty cycle can affect the signal noise ratio of the system 100. That is, as the duty cycle is increased so may the signal to noise ratio.


Furthermore, as noted above, driver circuit 1105 may monitor temperatures of the LEDs 1102 and 1104 using the thermistor 1120 and adjust the output of LEDs 1102 and 1104 accordingly. Such a temperature may be to help sensor 101 correct for wavelength drift due to changes in water absorption, which can be temperature dependent.



FIG. 11C illustrates another exemplary emitter that may be employed in the sensor according to an embodiment of the disclosure. As shown, the emitter 104 can include components mounted on a substrate 1108 and on submount 1106. In particular, top-emitting LEDs 1102 for emitting red and/or infrared light may be mounted on substrate 1108. Side emitting LEDS 1104 may be mounted on submount 1106. As noted, side-emitting LEDs 1104 may be included in emitter 104 for emitting near infrared light.


As also shown, the sensor of FIG. 11C may include a thermistor 1120. As noted, the thermistor 1120 can be provided to compensate for temperature variations. The thermistor 1120 can be provided to allow for wavelength centroid and power drift of LEDs 1102 and 1104 due to heating. In addition, other thermistors (not shown) can be employed, for example, to measure a temperature of a measurement site. Such a temperature can be helpful in correcting for wavelength drift due to changes in water absorption, which can be temperature dependent, thereby providing more accurate data useful in detecting blood analytes like glucose.


In some embodiments, the emitter 104 may be implemented without the use of side emitting LEDs. For example, certain blood constituents, such as total hemoglobin, can be measured by embodiments of the disclosure without the use of side emitting LEDs. FIG. 11D illustrates another exemplary emitter that may be employed in the sensor according to an embodiment of the disclosure. In particular, an emitter 104 that is configured for a blood constituent, such as total hemoglobin, is shown. The emitter 104 can include components mounted on a substrate 1108. In particular, top-emitting LEDs 1102 for emitting red and/or infrared light may be mounted on substrate 1108.


As also shown, the emitter of FIG. 11D may include a thermistor 1120. The thermistor 1120 can be provided to compensate for temperature variations. The thermistor 1120 can be provided to allow for wavelength centroid and power drift of LEDs 1102 due to heating.



FIG. 12A illustrates a detector submount 1200 having photodiode detectors that are arranged in a grid pattern on the detector submount 1200 to capture light at different quadrants from a measurement site. One detector submount 1200 can be placed under each window of the sensors described above, or multiple windows can be placed over a single detector submount 1200. The detector submount 1200 can also be used with the partially cylindrical protrusion 605 described above with respect to FIG. 6.


The detectors include photodiode detectors 1-4 that are arranged in a grid pattern on the submount 1200 to capture light at different quadrants from the measurement site. As noted, other patterns of photodiodes, such as a linear row, or logarithmic row, can also be employed in certain embodiments.


As shown, the detectors 1-4 may have a predetermined spacing from each other, or spatial relationship among one another that result in a spatial configuration. This spatial configuration can be configured to purposefully create a variation of path lengths among detectors 106 and the point light source discussed above.


Detectors may hold multiple (e.g., two, three, four, etc.) photodiode arrays that are arranged in a two-dimensional grid pattern. Multiple photodiode arrays may also be useful to detect light piping (i.e., light that bypasses measurement site 102). As shown, walls may separate the individual photodiode arrays to prevent mixing of light signals from distinct quadrants. In addition, as noted, the detectors may be covered by windows of transparent material, such as glass, plastic, etc., to allow maximum transmission of power light captured. As noted, this window may comprise some shielding in the form of an embedded grid of wiring, or a conductive layer or coating.



FIGS. 12B through 12D illustrate a simplified view of exemplary arrangements and spatial configurations of photodiodes for detectors 106. As shown, detectors 106 may comprise photodiode detectors 1-4 that are arranged in a grid pattern on detector submount 1200 to capture light at different quadrants from measurement site 102.


As noted, other patterns of photodiodes may also be employed in embodiments of the present disclosure, including, for example, stacked or other configurations recognizable to an artisan from the disclosure herein. For example, detectors 106 may be arranged in a linear array, a logarithmic array, a two-dimensional array, and the like. Furthermore, an artisan will recognize from the disclosure herein that any number of detectors 106 may be employed by embodiments of the present disclosure.


For example, as shown in FIG. 12B, detectors 106 may comprise photodiode detectors 1-4 that are arranged in a substantially linear configuration on submount 1200. In this embodiment shown, photodiode detectors 1-4 are substantially equally spaced apart (e.g., where the distance D is substantially the same between detectors 1-4).


In FIG. 12C, photodiode detectors 1-4 may be arranged in a substantially linear configuration on submount 1200, but may employ a substantially progressive, substantially logarithmic, or substantially semi-logarithmic spacing (e.g., where distances D1>D2>D3). This arrangement or pattern may be useful for use on a patient's finger and where the thickness of the finger gradually increases.


In FIG. 12D, a different substantially grid pattern on submount 1200 of photodiode detectors 1-4 is shown. As noted, other patterns of detectors may also be employed in embodiments of the present invention.



FIGS. 12E through 12H illustrate several embodiments of photodiodes that may be used in detectors 106. As shown in these figures, a photodiode 1202 of detector 106 may comprise a plurality of active areas 1204. These active areas 204 may be coupled together via a common cathode 1206 or anode 1208 in order to provide a larger effective detection area.


In particular, as shown in FIG. 12E, photodiode 1202 may comprise two (2) active areas 1204a and 1204b. In FIG. 12F, photodiode 1202 may comprise four (4) active areas 1204c-f. In FIG. 12G, photodiode 1202 may comprise three (3) active areas 1204g-i. In FIG. 12H, photodiode 1202 may comprise nine (9) active areas 1204j-r. The use of smaller active areas may be useful because smaller active areas can be easier to fabricate and can be fabricated with higher purity. However, one skilled in the art will recognize that various sizes of active areas may be employed in the photodiode 1202.



FIG. 13 illustrates an example multi-stream process 1300. The multi-stream process 1300 can be implemented by the data collection system 100 and/or by any of the sensors described above. As shown, a control signal from a signal processor 1310 controls a driver 1305. In response, an emitter 1304 generates a pulse sequence 1303 from its emitter (e.g., its LEDs) into a measurement site or sites 1302. As described above, in some embodiments, the pulse sequence 1303 is controlled to have a variation of about 10 parts per million or less. Of course, depending on the analyte desired, the tolerated variation in the pulse sequence 1303 can be greater (or smaller).


In response to the pulse sequence 1300, detectors 1 to n (n being an integer) in a detector 1306 capture optical radiation from the measurement site 1302 and provide respective streams of output signals. Each signal from one of detectors 1-n can be considered a stream having respective time slots corresponding to the optical pulses from emitter sets 1-n in the emitter 1304. Although n emitters and n detectors are shown, the number of emitters and detectors need not be the same in certain implementations.


A front end interface 1308 can accept these multiple streams from detectors 1-n and deliver one or more signals or composite signal(s) back to the signal processor 1310. A stream from the detectors 1-n can thus include measured light intensities corresponding to the light pulses emitted from the emitter 1304.


The signal processor 1310 can then perform various calculations to measure the amount of glucose and other analytes based on these multiple streams of signals. In order to help explain how the signal processor 1310 can measure analytes like glucose, a primer on the spectroscopy employed in these embodiments will now be provided.


Spectroscopy is premised upon the Beer-Lambert law. According to this law, the properties of a material, e.g., glucose present in a measurement site, can be deterministically calculated from the absorption of light traveling through the material. Specifically, there is a logarithmic relation between the transmission of light through a material and the concentration of a substance and also between the transmission and the length of the path traveled by the light. As noted, this relation is known as the Beer-Lambert law.


The Beer-Lambert law is usually written as:

Absorbance A=m*b*c, where:


m is the wavelength-dependent molar absorptivity coefficient (usually expressed in units of M−1 cm−1);


b is the mean path length; and


c is the analyte concentration (e.g., the desired parameter).


In spectroscopy, instruments attempt to obtain the analyte concentration (c) by relating absorbance (A) to transmittance (T). Transmittance is a proportional value defined as:

T=I/Io, where:


I is the light intensity measured by the instrument from the measurement site; and


Io is the initial light intensity from the emitter.


Absorbance (A) can be equated to the transmittance (T) by the equation:

A=−log T


Therefore, substituting equations from above:

A=−log(I/Io)


In view of this relationship, spectroscopy thus relies on a proportional-based calculation of −log(I/Io) and solving for analyte concentration (c).


Typically, in order to simplify the calculations, spectroscopy will use detectors that are at the same location in order to keep the path length (b) a fixed, known constant. In addition, spectroscopy will employ various mechanisms to definitively know the transmission power (Io), such as a photodiode located at the light source. This architecture can be viewed as a single channel or single stream sensor, because the detectors are at a single location.


However, this scheme can encounter several difficulties in measuring analytes, such as glucose. This can be due to the high overlap of absorption of light by water at the wavelengths relevant to glucose as well as other factors, such as high self-noise of the components.


Embodiments of the present disclosure can employ a different approach that in part allows for the measurement of analytes like glucose. Some embodiments can employ a bulk, non-pulsatile measurement in order to confirm or validate a pulsatile measurement. In addition, both the non-pulsatile and pulsatile measurements can employ, among other things, the multi-stream operation described above in order to attain sufficient SNR. In particular, a single light source having multiple emitters can be used to transmit light to multiple detectors having a spatial configuration.


A single light source having multiple emitters can allow for a range of wavelengths of light to be used. For example, visible, infrared, and near infrared wavelengths can be employed. Varying powers of light intensity for different wavelengths can also be employed.


Secondly, the use of multiple-detectors in a spatial configuration allow for a bulk measurement to confirm or validate that the sensor is positioned correctly. This is because the multiple locations of the spatial configuration can provide, for example, topology information that indicates where the sensor has been positioned. Currently available sensors do not provide such information. For example, if the bulk measurement is within a predetermined range of values, then this can indicate that the sensor is positioned correctly in order to perform pulsatile measurements for analytes like glucose. If the bulk measurement is outside of a certain range or is an unexpected value, then this can indicate that the sensor should be adjusted, or that the pulsatile measurements can be processed differently to compensate, such as using a different calibration curve or adjusting a calibration curve. This feature and others allow the embodiments to achieve noise cancellation and noise reduction, which can be several times greater in magnitude that what is achievable by currently available technology.


In order to help illustrate aspects of the multi-stream measurement approach, the following example derivation is provided. Transmittance (T) can be expressed as:

T=e−m*b*c


In terms of light intensity, this equation can also be rewritten as:

I/Io=e−m*b*c


Or, at a detector, the measured light (I) can be expressed as:

I=Io*e−m*b*c


As noted, in the present disclosure, multiple detectors (1 to n) can be employed, which results in I1 . . . In streams of measurements. Assuming each of these detectors have their own path lengths, b1 . . . bn, from the light source, the measured light intensities can be expressed as:

In=Io*e−m*bn*c


The measured light intensities at any two different detectors can be referenced to each other. For example:

I1/In=(Io*e−mb1c)/(Io*e−mbnc)


As can be seen, the terms, Io, cancel out and, based on exponent algebra, the equation can be rewritten as:

I1/In=e−m(b1−bn)c


From this equation, the analyte concentration (c) can now be derived from bulk signals I1 . . . In and knowing the respective mean path lengths b1 and bn. This scheme also allows for the cancelling out of Io, and thus, noise generated by the emitter 1304 can be cancelled out or reduced. In addition, since the scheme employs a mean path length difference, any changes in mean path length and topological variations from patient to patient are easily accounted. Furthermore, this bulk-measurement scheme can be extended across multiple wavelengths. This flexibility and other features allow embodiments of the present disclosure to measure blood analytes like glucose.


For example, as noted, the non-pulsatile, bulk measurements can be combined with pulsatile measurements to more accurately measure analytes like glucose. In particular, the non-pulsatile, bulk measurement can be used to confirm or validate the amount of glucose, protein, etc. in the pulsatile measurements taken at the tissue at the measurement site(s) 1302. The pulsatile measurements can be used to measure the amount of glucose, hemoglobin, or the like that is present in the blood. Accordingly, these different measurements can be combined to thus determine analytes like blood glucose.



FIG. 14A illustrates an embodiment of a detector submount 1400a positioned beneath the partially cylindrical protrusion 605 of FIG. 6 (or alternatively, the protrusion 605b). The detector submount 1400a includes two rows 1408a of detectors 1410a. The partially cylindrical protrusion 605 can facilitate reducing the number and/or size of detectors used in a sensor because the protrusion 605 can act as a lens that focuses light onto a smaller area.


To illustrate, in some sensors that do not include the partially cylindrical protrusion 605, sixteen detectors can be used, including four rows of four detectors each. Multiple rows of detectors can be used to measure certain analytes, such as glucose or total hemoglobin, among others. Multiple rows of detectors can also be used to detect light piping (e.g., light that bypasses the measurement site). However, using more detectors in a sensor can add cost, complexity, and noise to the sensor.


Applying the partially cylindrical protrusion 605 to such a sensor, however, could reduce the number of detectors or rows of detectors used while still receiving the substantially same amount of light, due to the focusing properties of the protrusion 605 (see FIG. 14B). This is the example situation illustrated in FIG. 14—two rows 1408a of detectors 1410a are used instead of four. Advantageously, in certain embodiments, the resulting sensor can be more cost effective, have less complexity, and have an improved SNR, due to fewer and/or smaller photodiodes.


In other embodiments, using the partially cylindrical protrusion 605 can allow the number of detector rows to be reduced to one or three rows of four detectors. The number of detectors in each row can also be reduced. Alternatively, the number of rows might not be reduced but the size of the detectors can be reduced. Many other configurations of detector rows and sizes can also be provided.



FIG. 14B depicts a front elevation view of the partially cylindrical protrusion 605 (or alternatively, the protrusion 605b) that illustrates how light from emitters (not shown) can be focused by the protrusion 605 onto detectors. The protrusion 605 is placed above a detector submount 1400b having one or more detectors 1410b disposed thereon. The submount 1400b can include any number of rows of detectors 1410, although one row is shown.


Light, represented by rays 1420, is emitted from the emitters onto the protrusion 605. These light rays 1420 can be attenuated by body tissue (not shown). When the light rays 1420 enter the protrusion 605, the protrusion 605 acts as a lens to refract the rays into rays 1422. This refraction is caused in certain embodiments by the partially cylindrical shape of the protrusion 605. The refraction causes the rays 1422 to be focused or substantially focused on the one or more detectors 1410b. Since the light is focused on a smaller area, a sensor including the protrusion 605 can include fewer detectors to capture the same amount of light compared with other sensors.



FIG. 14C illustrates another embodiment of a detector submount 1400c, which can be disposed under the protrusion 605b (or alternatively, the protrusion 605). The detector submount 1400c includes a single row 1408c of detectors 1410c. The detectors are electrically connected to conductors 1412c, which can be gold, silver, copper, or any other suitable conductive material.


The detector submount 1400c is shown positioned under the protrusion 605b in a detector subassembly 1450 illustrated in FIG. 14D. A top-down view of the detector subassembly 1450 is also shown in FIG. 14E. In the detector subassembly 1450, a cylindrical housing 1430 is disposed on the submount 1400c. The cylindrical housing 1430 includes a transparent cover 1432, upon which the protrusion 605b is disposed. Thus, as shown in FIG. 14D, a gap 1434 exists between the detectors 1410c and the protrusion 605b. The height of this gap 1434 can be chosen to increase or maximize the amount of light that impinges on the detectors 1410c.


The cylindrical housing 1430 can be made of metal, plastic, or another suitable material. The transparent cover 1432 can be fabricated from glass or plastic, among other materials. The cylindrical housing 1430 can be attached to the submount 1400c at the same time or substantially the same time as the detectors 1410c to reduce manufacturing costs. A shape other than a cylinder can be selected for the housing 1430 in various embodiments.


In certain embodiments, the cylindrical housing 1430 (and transparent cover 1432) forms an airtight or substantially airtight or hermetic seal with the submount 1400c. As a result, the cylindrical housing 1430 can protect the detectors 1410c and conductors 1412c from fluids and vapors that can cause corrosion. Advantageously, in certain embodiments, the cylindrical housing 1430 can protect the detectors 1410c and conductors 1412c more effectively than currently-available resin epoxies, which are sometimes applied to solder joints between conductors and detectors.


In embodiments where the cylindrical housing 1430 is at least partially made of metal, the cylindrical housing 1430 can provide noise shielding for the detectors 1410c. For example, the cylindrical housing 1430 can be soldered to a ground connection or ground plane on the submount 1400c, which allows the cylindrical housing 1430 to reduce noise. In another embodiment, the transparent cover 1432 can include a conductive material or conductive layer, such as conductive glass or plastic. The transparent cover 1432 can include any of the features of the noise shields 790 described above.


The protrusion 605b includes the chamfered edges 607 described above with respect to FIG. 6E. These chamfered edges 607 can allow a patient to more comfortably slide a finger over the protrusion 605b when inserting the finger into the sensor 301f.



FIG. 14F illustrates a portion of the detector shell 306f, which includes the detectors 1410c on the substrate 1400c. The substrate 1400c is enclosed by a shielding enclosure 1490, which can include the features of the shielding enclosures 790a, 790b described above (see also FIG. 17). The shielding enclosure 1490 can be made of metal. The shielding enclosure 1490 includes a window 1492a above the detectors 1410c, which allows light to be transmitted onto the detectors 1410c.


A noise shield 1403 is disposed above the shielding enclosure 1490. The noise shield 1403, in the depicted embodiment, includes a window 1492a corresponding to the window 1492a. Each of the windows 1492a, 1492b can include glass, plastic, or can be an opening without glass or plastic. In some embodiments, the windows 1492a, 1492b may be selected to have different sizes or shapes from each other.


The noise shield 1403 can include any of the features of the conductive glass described above. In the depicted embodiment, the noise shield 1403 extends about three-quarters of the length of the detector shell 306f. In other embodiments, the noise shield 1403 could be smaller or larger. The noise shield 1403 could, for instance, merely cover the detectors 1410c, the submount 1400c, or a portion thereof. The noise shield 1403 also includes a stop 1413 for positioning a measurement site within the sensor 301f. Advantageously, in certain embodiments, the noise shield 1403 can reduce noise caused by light piping.


A thermistor 1470 is also shown. The thermistor 1470 is attached to the submount 1400c and protrudes above the noise shield 1403. As described above, the thermistor 1470 can be employed to measure a temperature of a measurement site. Such a temperature can be helpful in correcting for wavelength drift due to changes in water absorption, which can be temperature dependent, thereby providing more accurate data useful in detecting blood analytes like glucose.


In the depicted embodiment, the detectors 1410c are not enclosed in the cylindrical housing 1430. In an alternative embodiment, the cylindrical housing 1430 encloses the detectors 1410c and is disposed under the noise shield 1403. In another embodiment, the cylindrical housing 1430 encloses the detectors 1410c and the noise shield 1403 is not used. If both the cylindrical housing 1403 and the noise shield 1403 are used, either or both can have noise shielding features.



FIG. 14G illustrates the detector shell 306f of FIG. 14F, with the finger bed 310f disposed thereon. FIG. 14H illustrates the detector shell 306f of FIG. 14G, with the protrusion 605b disposed in the finger bed 310f.



FIG. 14I illustrates a cutaway view of the sensor 301f. Not all features of the sensor 301f are shown, such as the protrusion 605b. Features shown include the emitter and detector shells 304f, 306f, the flaps 307f, the heat sink 350f and fins 351f, the finger bed 310f, and the noise shield 1403.


In addition to these features, emitters 1404 are depicted in the emitter shell 304f. The emitters 1404 are disposed on a submount 1401, which is connected to a circuit board 1419. The emitters 1404 are also enclosed within a cylindrical housing 1480. The cylindrical housing 1480 can include all of the features of the cylindrical housing 1430 described above. For example, the cylindrical housing 1480 can be made of metal, can be connected to a ground plane of the submount 1401 to provide noise shielding, and can include a transparent cover 1482.


The cylindrical housing 1480 can also protect the emitters 1404 from fluids and vapors that can cause corrosion. Moreover, the cylindrical housing 1480 can provide a gap between the emitters 1404 and the measurement site (not shown), which can allow light from the emitters 1404 to even out or average out before reaching the measurement site.


The heat sink 350f, in addition to including the fins 351f, includes a protuberance 352f that extends down from the fins 351f and contacts the submount 1401. The protuberance 352f can be connected to the submount 1401, for example, with thermal paste or the like. The protuberance 352f can sink heat from the emitters 1404 and dissipate the heat via the fins 351f.



FIGS. 15A and 15B illustrate embodiments of sensor portions 1500A, 15008 that include alternative heat sink features to those described above. These features can be incorporated into any of the sensors described above. For example, any of the sensors above can be modified to use the heat sink features described below instead of or in addition to the heat sink features of the sensors described above.


The sensor portions 1500A, 1500B shown include LED emitters 1504; however, for ease of illustration, the detectors have been omitted. The sensor portions 1500A, 1500B shown can be included, for example, in any of the emitter shells described above.


The LEDs 1504 of the sensor portions 1500A, 1500B are connected to a substrate or submount 1502. The submount 1502 can be used in place of any of the submounts described above. The submount 1502 can be a non-electrically conducting material made of any of a variety of materials, such as ceramic, glass, or the like. A cable 1512 is attached to the submount 1502 and includes electrical wiring 1514, such as twisted wires and the like, for communicating with the LEDs 1504. The cable 1512 can correspond to the cables 212 described above.


Although not shown, the cable 1512 can also include electrical connections to a detector. Only a portion of the cable 1512 is shown for clarity. The depicted embodiment of the cable 1512 includes an outer jacket 1510 and a conductive shield 1506 disposed within the outer jacket 1510. The conductive shield 1506 can be a ground shield or the like that is made of a metal such as braided copper or aluminum. The conductive shield 1506 or a portion of the conductive shield 1506 can be electrically connected to the submount 1502 and can reduce noise in the signal generated by the sensor 1500A, 1500B by reducing RF coupling with the wires 1514. In alternative embodiments, the cable 1512 does not have a conductive shield. For example, the cable 1512 could be a twisted pair cable or the like, with one wire of the twisted pair used as a heat sink.


Referring specifically to FIG. 15A, in certain embodiments, the conductive shield 1506 can act as a heat sink for the LEDs 1504 by absorbing thermal energy from the LEDs 1504 and/or the submount 1502. An optional heat insulator 1520 in communication with the submount 1502 can also assist with directing heat toward the conductive shield 1506. The heat insulator 1520 can be made of plastic or another suitable material. Advantageously, using the conductive shield 1506 in the cable 1512 as a heat sink can, in certain embodiments, reduce cost for the sensor.


Referring to FIG. 15B, the conductive shield 1506 can be attached to both the submount 1502 and to a heat sink layer 1530 sandwiched between the submount 1502 and the optional insulator 1520. Together, the heat sink layer 1530 and the conductive shield 1506 in the cable 1512 can absorb at least part of the thermal energy from the LEDs and/or the submount 1502.



FIGS. 15C and 15D illustrate implementations of a sensor portion 1500C that includes the heat sink features of the sensor portion 1500A described above with respect to FIG. 15A. The sensor portion 1500C includes the features of the sensor portion 1500A, except that the optional insulator 1520 is not shown. FIG. 15D is a side cutaway view of the sensor portion 1500C that shows the emitters 1504.


The cable 1512 includes the outer jacket 1510 and the conductive shield 1506. The conductive shield 1506 is soldered to the submount 1502, and the solder joint 1561 is shown. In some embodiments, a larger solder joint 1561 can assist with removing heat more rapidly from the emitters 1504. Various connections 1563 between the submount 1502 and a circuit board 1519 are shown. In addition, a cylindrical housing 1580, corresponding to the cylindrical housing 1480 of FIG. 14I, is shown protruding through the circuit board 1519. The emitters 1504 are enclosed in the cylindrical housing 1580.



FIGS. 15E and 15F illustrate implementations of a sensor portion 1500E that includes the heat sink features of the sensor portion 1500B described above with respect to FIG. 15B. The sensor portion 1500E includes the heat sink layer 1530. The heat sink layer 1530 can be a metal plate, such as a copper plate or the like. The optional insulator 1520 is not shown. FIG. 15F is a side cutaway view of the sensor portion 1500E that shows the emitters 1504.


In the depicted embodiment, the conductive shield 1506 of the cable 1512 is soldered to the heat sink layer 1530 instead of the submount 1502. The solder joint 1565 is shown. In some embodiments, a larger solder joint 1565 can assist with removing heat more rapidly from the emitters 1504. Various connections 1563 between the submount 1502 and a circuit board 1519 are shown. In addition, the cylindrical housing 1580 is shown protruding through the circuit board 1519. The emitters 1504 are enclosed in the cylindrical housing 1580.



FIGS. 15G and 15H illustrate embodiments of connector features that can be used with any of the sensors described above with respect to FIGS. 1 through 15F. Referring to FIG. 15G, the circuit board 1519 includes a female connector 1575 that mates with a male connector 1577 connected to a daughter board 1587. The daughter board 1587 includes connections to the electrical wiring 1514 of the cable 1512. The connected boards 1519, 1587 are shown in FIG. 15H. Also shown is a hole 1573 that can receive the cylindrical housing 1580 described above.


Advantageously, in certain embodiments, using a daughter board 1587 to connect to the circuit board 1519 can enable connections to be made more easily to the circuit board 1519. In addition, using separate boards can be easier to manufacture than a single circuit board 1519 with all connections soldered to the circuit board 1519.



FIG. 15I illustrates an exemplary architecture for front-end interface 108 as a transimpedance-based front-end. As noted, front-end interfaces 108 provide an interface that adapts the output of detectors 106 into a form that can be handled by signal processor 110. As shown in this figure, sensor 101 and front-end interfaces 108 may be integrated together as a single component, such as an integrated circuit. Of course, one skilled in the art will recognize that sensor 101 and front end interfaces 108 may comprise multiple components or circuits that are coupled together.


Front-end interfaces 108 may be implemented using transimpedance amplifiers that are coupled to analog to digital converters in a sigma delta converter. In some embodiments, a programmable gain amplifier (PGA) can be used in combination with the transimpedance-based front-ends. For example, the output of a transimpedance-based front-end may be output to a sigma-delta ADC that comprises a PGA. A PGA may be useful in order to provide another level of amplification and control of the stream of signals from detectors 106. The PGA may be an integrated circuit or built from a set of micro-relays. Alternatively, the PGA and ADC components in converter 900 may be integrated with the transimpedance-based front-end in sensor 101.


Due to the low-noise requirements for measuring blood analytes like glucose and the challenge of using multiple photodiodes in detector 106, the applicants developed a noise model to assist in configuring front-end 108. Conventionally, those skilled in the art have focused on optimizing the impedance of the transimpedance amplifiers to minimize noise.


However, the following noise model was discovered by the applicants:

Noise=√{square root over (aR+bR2)}, where:


aR is characteristic of the impedance of the transimpedance amplifier; and


bR2 is characteristic of the impedance of the photodiodes in detector and the number of photodiodes in detector 106.


The foregoing noise model was found to be helpful at least in part due to the high SNR required to measure analytes like glucose. However, the foregoing noise model was not previously recognized by artisans at least in part because, in conventional devices, the major contributor to noise was generally believed to originate from the emitter or the LEDs. Therefore, artisans have generally continued to focus on reducing noise at the emitter.


However, for analytes like glucose, the discovered noise model revealed that one of the major contributors to noise was generated by the photodiodes. In addition, the amount of noise varied based on the number of photodiodes coupled to a transimpedance amplifier. Accordingly, combinations of various photodiodes from different manufacturers, different impedance values with the transimpedance amplifiers, and different numbers of photodiodes were tested as possible embodiments.


In some embodiments, different combinations of transimpedance to photodiodes may be used. For example, detectors 1-4 (as shown, e.g., in FIG. 12A) may each comprise four photodiodes. In some embodiments, each detector of four photodiodes may be coupled to one or more transimpedance amplifiers. The configuration of these amplifiers may be set according to the model shown in FIG. 15J.


Alternatively, each of the photodiodes may be coupled to its own respective transimpedance amplifier. For example, transimpedance amplifiers may be implemented as integrated circuits on the same circuit board as detectors 1-4. In this embodiment, the transimpedance amplifiers may be grouped into an averaging (or summing) circuit, which are known to those skilled in the art, in order to provide an output stream from the detector. The use of a summing amplifier to combine outputs from several transimpedance amplifiers into a single, analog signal may be helpful in improving the SNR relative to what is obtainable from a single transimpedance amplifier. The configuration of the transimpedance amplifiers in this setting may also be set according to the model shown in FIG. 15J.


As yet another alternative, as noted above with respect to FIGS. 12E through 12H, the photodiodes in detectors 106 may comprise multiple active areas that are grouped together. In some embodiments, each of these active areas may be provided its own respective transimpedance. This form of pairing may allow a transimpedance amplifier to be better matched to the characteristics of its corresponding photodiode or active area of a photodiode.


As noted, FIG. 15J illustrates an exemplary noise model that may be useful in configuring transimpedance amplifiers. As shown, for a given number of photodiodes and a desired SNR, an optimal impedance value for a transimpedance amplifier could be determined.


For example, an exemplary “4 PD per stream” sensor 1502 is shown where detector 106 comprises four photodiodes 1502. The photodiodes 1502 are coupled to a single transimpedance amplifier 1504 to produce an output stream 1506. In this example, the transimpedance amplifier comprises 10 MΩ resistors 1508 and 1510. Thus, output stream 1506 is produced from the four photodiodes (PD) 1502. As shown in the graph of FIG. 15J, the model indicates that resistance values of about 10 MΩ may provide an acceptable SNR for analytes like glucose.


However, as a comparison, an exemplary “1 PD per stream” sensor 1512 is also shown in FIG. 15J. In particular, sensor 1512 may comprise a plurality of detectors 106 that each comprises a single photodiode 1514. In addition, as shown for this example configuration, each of photodiodes 1514 may be coupled to respective transimpedance amplifiers 1516, e.g., 1 PD per stream. Transimpedance amplifiers are shown having 40 MΩ resistors 1518. As also shown in the graph of FIG. 15J, the model illustrates that resistance values of 40 MΩ for resistors 1518 may serve as an alternative to the 4 photodiode per stream architecture of sensor 1502 described above and yet still provide an equivalent SNR.


Moreover, the discovered noise model also indicates that utilizing a 1 photodiode per stream architecture like that in sensor 1512 may provide enhanced performance because each of transimpedance amplifiers 1516 can be tuned or optimized to its respective photodiodes 1518. In some embodiments, an averaging component 1520 may also be used to help cancel or reduce noise across photodiodes 1518.


For purposes of illustration, FIG. 15K shows different architectures (e.g., four PD per stream and one PD per stream) for various embodiments of a sensor and how components of the sensor may be laid out on a circuit board or substrate. For example, sensor 1522 may comprise a “4 PD per stream” architecture on a submount 700 in which each detector 106 comprises four (4) photodiodes 1524. As shown for sensor 1522, the output of each set of four photodiodes 1524 is then aggregated into a single transimpedance amplifier 1526 to produce a signal.


As another example, a sensor 1528 may comprise a “1 PD per stream” architecture on submount 700 in which each detector 106 comprises four (4) photodiodes 1530. In sensor 1528, each individual photodiode 1530 is coupled to a respective transimpedance amplifier 1532. The output of the amplifiers 1532 may then be aggregated into averaging circuit 1520 to produce a signal.


As noted previously, one skilled in the art will recognize that the photodiodes and detectors may be arranged in different fashions to optimize the detected light. For example, sensor 1534 illustrates an exemplary “4 PD per stream” sensor in which the detectors 106 comprise photodiodes 1536 arranged in a linear fashion. Likewise, sensor 1538 illustrates an exemplary “1 PD per stream” sensor in which the detectors comprise photodiodes 1540 arranged in a linear fashion.


Alternatively, sensor 1542 illustrates an exemplary “4 PD per stream” sensor in which the detectors 106 comprise photodiodes 1544 arranged in a two-dimensional pattern, such as a zig-zag pattern. Sensor 1546 illustrates an exemplary “1 PD per stream” sensor in which the detectors comprise photodiodes 1548 also arranged in a zig-zag pattern.



FIG. 15L illustrates an exemplary architecture for a switched-capacitor-based front-end. As shown, front-end interfaces 108 may be implemented using switched capacitor circuits and any number of front-end interfaces 108 may be implemented. The output of these switched capacitor circuits may then be provided to a digital interface 1000 and signal processor 110. Switched capacitor circuits may be useful in system 100 for their resistor free design and analog averaging properties. In particular, the switched capacitor circuitry provides for analog averaging of the signal that allows for a lower smaller sampling rate (e.g., 2 KHz sampling for analog versus 48 KHz sampling for digital designs) than similar digital designs. In some embodiments, the switched capacitor architecture in front end interfaces 108 may provide a similar or equivalent SNR to other front end designs, such as a sigma delta architecture. In addition, a switched capacitor design in front end interfaces 108 may require less computational power by signal processor 110 to perform the same amount of decimation to obtain the same SNR.



FIGS. 16A and 16B illustrate embodiments of disposable optical sensors 1600. In an embodiment, any of the features described above, such as protrusion, shielding, and/or heat sink features, can be incorporated into the disposable sensors 1600 shown. For instance, the sensors 1600 can be used as the sensors 101 in the system 100 described above with respect to FIG. 1. Moreover, any of the features described above, such as protrusion, shielding, and/or heat sink features, can be implemented in other disposable sensor designs that are not depicted herein.


The sensors 1600 include an adult/pediatric sensor 1610 for finger placement and a disposable infant/neonate sensor 1602 configured for toe, foot or hand placement. Each sensor 1600 has a tape end 1610 and an opposite connector end 1620 electrically and mechanically interconnected via a flexible coupling 1630. The tape end 1610 attaches an emitter and detector to a tissue site. Although not shown, the tape end 1610 can also include any of the protrusion, shielding, and/or heat sink features described above. The emitter illuminates the tissue site and the detector generates a sensor signal responsive to the light after tissue absorption, such as absorption by pulsatile arterial blood flow within the tissue site.


The sensor signal is communicated via the flexible coupling 1630 to the connector end 1620. The connector end 1620 can mate with a cable (not shown) that communicates the sensor signal to a monitor (not shown), such as any of the cables or monitors shown above with respect to FIGS. 2A through 2D. Alternatively, the connector end 1620 can mate directly with the monitor.



FIG. 17 illustrates an exploded view of certain of the components of the sensor 301f described above. A heat sink 1751 and a cable 1781 attach to an emitter shell 1704. The emitter shell attaches to a flap housing 1707. The flap housing 1707 includes a receptacle 1709 to receive a cylindrical housing 1480/1580 (not shown) attached to an emitter submount 1702, which is attached to a circuit board 1719.


A spring 1787 attaches to a detector shell 1706 via pins 1783, 1785, which hold the emitter and detector shells 1704, 1706 together. A support structure 1791 attaches to the detector shell 1706, which provides support for a shielding enclosure 1790. A noise shield 1713 attaches to the shielding enclosure 1790. A detector submount 1700 is disposed inside the shielding enclosure 1790. A finger bed 1710 provides a surface for placement of the patient's finger. Finger bed 1710 may comprise a gripping surface or gripping features, which may assist in placing and stabilizing a patient's finger in the sensor. A partially cylindrical protrusion 1705 may also be disposed in the finger bed 1710. As shown, finger bed 1710 attaches to the noise shield 1703. The noise shield 1703 may be configured to reduce noise, such as from ambient light and electromagnetic noise. For example, the noise shield 1703 may be constructed from materials having an opaque color, such as black or a dark blue, to prevent light piping.


Noise shield 1703 may also comprise a thermistor 1712. The thermistor 1712 may be helpful in measuring the temperature of a patient's finger. For example, the thermistor 1712 may be useful in detecting when the patient's finger is reaching an unsafe temperature that is too hot or too cold. In addition, the temperature of the patient's finger may be useful in indicating to the sensor the presence of low perfusion as the temperature drops. In addition, the thermistor 1712 may be useful in detecting a shift in the characteristics of the water spectrum in the patient's finger, which can be temperature dependent.


Moreover, a flex circuit cover 1706 attaches to the pins 1783, 1785. Although not shown, a flex circuit can also be provided that connects the circuit board 1719 with the submount 1700 (or a circuit board to which the submount 1700 is connected). A flex circuit protector 1760 may be provided to provide a barrier or shield to the flex circuit (not shown). In particular, the flex circuit protector 1760 may also prevent any electrostatic discharge to or from the flex circuit. The flex circuit protector 1760 may be constructed from well known materials, such as a plastic or rubber materials.



FIG. 18 shows the results obtained by an exemplary sensor 101 of the present disclosure that was configured for measuring glucose. This sensor 101 was tested using a pure water ex-vivo sample. In particular, ten samples were prepared that ranged from 0-55 mg/dL. Two samples were used as a training set and eight samples were then used as a test population. As shown, embodiments of the sensor 101 were able to obtain at least a standard deviation of 13 mg/dL in the training set and 11 mg/dL in the test population.



FIG. 19 shows the results obtained by an exemplary sensor 101 of the present disclosure that was configured for measuring glucose. This sensor 101 was tested using a turbid ex-vivo sample. In particular, 25 samples of water/glucose/Liposyn were prepared that ranged from 0-55 mg/dL. Five samples were used as a training set and 20 samples were then used as a test population. As shown, embodiments of sensor 101 were able to obtain at least a standard deviation of 37 mg/dL in the training set and 32 mg/dL in the test population.



FIGS. 20 through 22 shows other results that can be obtained by an embodiment of system 100. In FIG. 20, 150 blood samples from two diabetic adult volunteers were collected over a 10-day period. Invasive measurements were taken with a YSI glucometer to serve as a reference measurement. Noninvasive measurements were then taken with an embodiment of system 100 that comprised four LEDs and four independent detector streams. As shown, the system 100 obtained a correlation of about 85% and Arms of about 31 mg/dL.


In FIG. 21, 34 blood samples were taken from a diabetic adult volunteer collected over a 2-day period. Invasive measurements were also taken with a glucometer for comparison. Noninvasive measurements were then taken with an embodiment of system 100 that comprised four LEDs in emitter 104 and four independent detector streams from detectors 106. As shown, the system 100 was able to attain a correlation of about 90% and Arms of about 22 mg/dL.


The results shown in FIG. 22 relate to total hemoglobin testing with an exemplary sensor 101 of the present disclosure. In particular, 47 blood samples were collected from nine adult volunteers. Invasive measurements were then taken with a CO-oximeter for comparison. Noninvasive measurements were taken with an embodiment of system 100 that comprised four LEDs in emitter 104 and four independent detector channels from detectors 106. Measurements were averaged over 1 minute. As shown, the testing resulted in a correlation of about 93% and Arms of about 0.8 mg/dL.


Conditional language used herein, such as, among others, “can,” “could,” “might,” “may,” “e.g.,” and the like, unless specifically stated otherwise, or otherwise understood within the context as used, is generally intended to convey that certain embodiments include, while other embodiments do not include, certain features, elements and/or states. Thus, such conditional language is not generally intended to imply that features, elements and/or states are in any way required for one or more embodiments or that one or more embodiments necessarily include logic for deciding, with or without author input or prompting, whether these features, elements and/or states are included or are to be performed in any particular embodiment.


While certain embodiments of the inventions disclosed herein have been described, these embodiments have been presented by way of example only, and are not intended to limit the scope of the inventions disclosed herein. Indeed, the novel methods and systems described herein can be embodied in a variety of other forms; furthermore, various omissions, substitutions and changes in the form of the methods and systems described herein can be made without departing from the spirit of the inventions disclosed herein. The claims and their equivalents are intended to cover such forms or modifications as would fall within the scope and spirit of certain of the inventions disclosed herein.

Claims
  • 1. A noninvasive physiological parameter measurement device adapted to be worn by a wearer, the noninvasive physiological parameter measurement device comprising: one or more light emitters;a substrate having a surface;a first set of photodiodes arranged on the surface and spaced apart from each other, wherein: the first set of photodiodes comprises at least four photodiodes,the photodiodes of the first set of photodiodes are connected to one another in parallel to provide a first signal stream responsive to light from at least one of the one or more light emitters attenuated by body tissue, andthe photodiodes of the first set of photodiodes are arranged on the surface so as to provide a variation in optical path length between at least some of the photodiodes of the first set of photodiodes and at least one of the one or more light emitters;a second set of photodiodes arranged on the surface and spaced apart from each other, wherein: the second set of photodiodes comprises at least four photodiodes,the photodiodes of the second set of photodiodes are connected to one another in parallel to provide a second signal stream responsive to light from at least one of the one or more light emitters attenuated by body tissue,the photodiodes of the second set of photodiodes are arranged on the surface so as to provide a variation in optical path length between at least some of the photodiodes of the second set of photodiodes and at least one of the one or more light emitters, andat least one of the first signal stream or the second signal stream includes information usable to determine a physiological parameter of a wearer of the noninvasive physiological parameter measurement device;a wall extending from the surface and configured to surround at least the first and second sets of photodiodes; anda cover arranged to cover at least a portion of the surface of the substrate, wherein the cover comprises a protrusion that extends over all of the photodiodes of the first and second sets of photodiodes arranged on the surface, and wherein the cover is further configured to cover the wall.
  • 2. The noninvasive physiological parameter measurement device of claim 1 further comprising preprocessing electronics including at least: first preprocessing electronics configured to preprocess the first signal stream; andsecond preprocessing electronics configured to preprocess the second signal stream.
  • 3. The noninvasive physiological parameter measurement device of claim 2, wherein: the first preprocessing electronics comprise at least a first amplifier configured to receive the first signal stream and at least amplify the first signal stream, andthe second preprocessing electronics comprise at least a second amplifier configured to receive the second signal stream and at least amplify the second signal stream.
  • 4. The noninvasive physiological parameter measurement device of claim 3, wherein the preprocessing further comprises converting at least one of the first signal stream or the second signal stream from analog to digital.
  • 5. The noninvasive physiological parameter measurement device of claim 3, wherein the protrusion comprises a convex protrusion, and wherein at least a portion the cover is comprised of a sufficiently rigid material to cause tissue of the wearer to conform to at least a portion of a shape of the cover.
  • 6. The noninvasive physiological parameter measurement device of claim 5, wherein the physiological parameter comprises at least one of: pulse rate, glucose, oxygen, oxygen saturation, methemoglobin, total hemoglobin, carboxyhemoglobin, or carbon monoxide.
  • 7. The noninvasive physiological parameter measurement device of claim 6, wherein at least part of the cover is light permeable.
  • 8. The noninvasive physiological parameter measurement device of claim 6 further comprising: one or more openings that allow light to pass through to the photodiodes of the first and second sets of photodiodes.
  • 9. The noninvasive physiological parameter measurement device of claim 8, wherein the wall operably connects to the substrate on one side and operably connects to the cover on an opposite side.
  • 10. The noninvasive physiological parameter measurement device of claim 9 further comprising: a touch-screen display;a strap configured to facilitate attachment of at least part of the noninvasive physiological parameter measurement device to an arm of the wearer; andone or more processors configured to: receive information responsive to at least one of the first signal stream or the second signal stream;process the information to determine physiological parameter measurement information; andcause communication of the physiological parameter measurement information to a user interface displayed on the touch-screen display.
  • 11. The noninvasive physiological parameter measurement device of claim 10, wherein the attenuated light is reflected by the tissue.
  • 12. The noninvasive physiological parameter measurement device of claim 11, wherein the one or more processors are further configured to: cause transmission of the physiological parameter measurement information to at least one of: a mobile phone, or a computer network.
  • 13. The noninvasive physiological parameter measurement device of claim 12 further comprising: a magnet configured to be used as a connecting mechanism.
  • 14. A noninvasive physiological parameter measurement device comprising: one or more light emitters, each emitter configured to emit light;a first set of photodiodes, wherein: the first set of photodiodes comprises at least four photodiodes, andthe photodiodes of the first set of photodiodes are connected to one another in parallel to provide a first signal stream responsive to light from at least one of the one or more light emitters attenuated by body tissue;a second set of photodiodes, wherein: the second set of photodiodes comprises at least four photodiodes,the photodiodes of the second set of photodiodes are connected to one another in parallel to provide a second signal stream responsive to light from at least one of the one or more light emitters attenuated by body tissue,the photodiodes of the first and second sets of photodiodes are positioned to provide a variation in optical path lengths associated with at least some of the photodiodes of the first and second sets of photodiodes,each of the optical path lengths is associated with a corresponding optical path defined by at least light emitted from an emitter of the one or more emitters, attenuated by body tissue, and then detected by a photodiode of the first and second sets of photodiodes; andbetween an emitter and a corresponding photodiode of the first or second sets of photodiodes, the optical path between the emitter and the corresponding photodiode of the first or second sets of photodiodes including attenuation by body tissue; andone or more processors configured to:receive information responsive to at least one of the first signal stream or the second signal stream; andprocess the information to determine physiological parameter measurement information.
  • 15. The noninvasive physiological parameter measurement device of claim 14 further comprising: a protrusion that extends over the photodiodes of the first and second sets of photodiodes.
  • 16. The noninvasive physiological parameter measurement device of claim 15, wherein the first and second sets of photodiodes are arranged on a substrate, and wherein the protrusion extends over at least a part of the substrate.
  • 17. The noninvasive physiological parameter measurement device of claim 16 further comprising preprocessing electronics including at least: first preprocessing electronics configured to preprocess the first signal stream; andsecond preprocessing electronics configured to preprocess the second signal stream,wherein the information responsive to the at least one of the first signal stream or the second signal stream is received by the one or more processors after preprocessing of the at least one of the first signal stream or the second signal stream.
  • 18. The noninvasive physiological parameter measurement device of claim 17, wherein: the first preprocessing electronics comprise at least a first amplifier configured to receive the first signal stream and at least amplify the first signal stream, andthe second preprocessing electronics comprise at least a second amplifier configured to receive the second signal stream and at least amplify the second signal stream.
  • 19. The noninvasive physiological parameter measurement device of claim 18, wherein the preprocessing further comprises converting at least one of the first signal stream or the second signal stream from analog to digital.
  • 20. The noninvasive physiological parameter measurement device of claim 19, wherein the protrusion comprises a convex protrusion, and wherein at least a portion the convex protrusion is comprised of a sufficiently rigid material to cause tissue of a wearer of the noninvasive physiological parameter measurement device to conform to at least a portion of a shape of the convex protrusion when the noninvasive physiological parameter measurement device is worn by the wearer.
  • 21. The noninvasive physiological parameter measurement device of claim 20, wherein the physiological parameter comprises at least one of: pulse rate, glucose, oxygen, oxygen saturation, methemoglobin, total hemoglobin, carboxyhemoglobin, or carbon monoxide.
  • 22. The noninvasive physiological parameter measurement device of claim 21, wherein at least part of the protrusion is light permeable.
  • 23. The noninvasive physiological parameter measurement device of claim 21 further comprising: one or more openings that allow light to pass through to the photodiodes of the first and second sets of photodiodes.
  • 24. The noninvasive physiological parameter measurement device of claim 23 further comprising: a strap configured to facilitate attachment of at least part of the noninvasive physiological parameter measurement device to an arm of the wearer; anda touch-screen display,wherein the one or more processors are further configured to cause communication of the physiological parameter measurement information to a user interface displayed on the touch-screen display.
  • 25. The noninvasive physiological parameter measurement device of claim 24, wherein the attenuated light is reflected by the tissue.
  • 26. The noninvasive physiological parameter measurement device of claim 25, wherein the one or more processors are further configured to: cause transmission of the physiological parameter measurement information to at least one of: a mobile phone, or a computer network.
  • 27. A physiological measurement system comprising: a noninvasive physiological parameter measurement device according to claim 26; anda mobile phone configured to wirelessly communicate with the noninvasive physiological parameter measurement device.
  • 28. A noninvasive physiological parameter measurement device adapted to be worn by a wearer, the noninvasive physiological parameter measurement device comprising: one or more light emitters;a substrate having a surface;a first set of photodiodes arranged on the surface and spaced apart from each other, wherein: the first set of photodiodes comprises at least four photodiodes,the photodiodes of the first set of photodiodes are connected to one another in parallel to provide a first signal stream responsive to light from at least one of the one or more light emitters attenuated by body tissue, andthe photodiodes of the first set of photodiodes are arranged on the surface so as to provide a variation in optical path length between at least some of the photodiodes of the first set of photodiodes and at least one of the one or more light emitters;a second set of photodiodes arranged on the surface and spaced apart from each other, wherein: the second set of photodiodes comprises at least four photodiodes,the photodiodes of the second set of photodiodes are connected to one another in parallel to provide a second signal stream responsive to light from at least one of the one or more light emitters attenuated by body tissue,the photodiodes of the second set of photodiodes are arranged on the surface so as to provide a variation in optical path length between at least some of the photodiodes of the second set of photodiodes and at least one of the one or more light emitters,at least one of the first signal stream or the second signal stream includes information usable to determine a physiological parameter of a wearer of the noninvasive physiological parameter measurement device, andthe physiological parameter comprises at least one of: pulse rate, glucose, oxygen, oxygen saturation, methemoglobin, total hemoglobin, carboxyhemoglobin, or carbon monoxide;first preprocessing electronics configured to preprocess the first signal stream, the first preprocessing electronics comprising at least a first amplifier configured to receive the first signal stream and at least amplify the first signal stream;second preprocessing electronics configured to preprocess the second signal stream, the second preprocessing electronics comprising at least a second amplifier configured to receive the second signal stream and at least amplify the second signal stream;a wall extending from the surface and configured to surround at least the first and second sets of photodiodes;a cover arranged to cover at least a portion of the surface of the substrate, wherein: the cover comprises a protrusion that extends over all of the photodiodes of the first and second sets of photodiodes arranged on the surface,the protrusion comprises a convex protrusion,at least a portion the cover is comprised of a sufficiently rigid material to cause tissue of the wearer to conform to at least a portion of a shape of the cover,the cover is further configured to cover the wall, andthe wall operably connects to the substrate on one side and operably connects to the cover on an opposite side;one or more openings that allow light to pass through to the photodiodes of the first and second sets of photodiodes;a touch-screen display;a strap configured to facilitate attachment of at least part of the noninvasive physiological parameter measurement device to an arm of the wearer; andone or more processors configured to: receive information responsive to at least one of the first signal stream or the second signal stream;process the information to determine physiological parameter measurement information;cause communication of the physiological parameter measurement information to a user interface displayed on the touch-screen display; andcause transmission of the physiological parameter measurement information to at least one of: a mobile phone, or a computer network.
RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No. 16/725,292, filed Dec. 23, 2019, which is a continuation of U.S. patent application Ser. No. 16/534,949, filed Aug. 7, 2019, which is a continuation of U.S. patent application Ser. No. 16/409,515, filed May 10, 2019, which is a continuation of U.S. patent application Ser. No. 16/261,326, filed Jan. 29, 2019, which is a continuation of U.S. patent application Ser. No. 16/212,537, filed Dec. 6, 2018, which is a continuation of U.S. patent application Ser. No. 14/981,290 filed Dec. 28, 2015, which is a continuation of U.S. patent application Ser. No. 12/829,352 filed Jul. 1, 2010, which is a continuation of U.S. patent application Ser. No. 12/534,827 filed Aug. 3, 2009, which claims the benefit of priority under 35 U.S.C. § 119(e) of the following U.S. Provisional Patent Application Nos. 61/086,060 filed Aug. 4, 2008, 61/086,108 filed Aug. 4, 2008, 61/086,063 filed Aug. 4, 2008, 61/086,057 filed Aug. 4, 2008, and 61/091,732 filed Aug. 25, 2008. U.S. patent application Ser. No. 12/829,352 is also a continuation-in-part of U.S. patent application Ser. No. 12/497,528 filed Jul. 2, 2009, which claims the benefit of priority under 35 U.S.C. § 119(e) of the following U.S. Provisional Patent Application Nos. 61/086,060 filed Aug. 4, 2008, 61/086,108 filed Aug. 4, 2008, 61/086,063 filed Aug. 4, 2008, 61/086,057 filed Aug. 4, 2008, 61/078,228 filed Jul. 3, 2008, 61/078,207 filed Jul. 3, 2008, and 61/091,732 filed Aug. 25, 2008. U.S. patent application Ser. No. 12/497,528 also claims the benefit of priority under 35 U.S.C. § 120 as a continuation-in-part of the following U.S. Design patent application No. 29/323,409 filed Aug. 25, 2008 and Ser. No. 29/323,408 filed Aug. 25, 2008. U.S. patent application Ser. No. 12/829,352 is also a continuation-in-part of U.S. patent application Ser. No. 12/497,523 filed Jul. 2, 2009, which claims the benefit of priority under 35 U.S.C. § 119(e) of the following U.S. Provisional Patent Application Nos. 61/086,060 filed Aug. 4, 2008, 61/086,108 filed Aug. 4, 2008, 61/086,063 filed Aug. 4, 2008, 61/086,057 filed Aug. 4, 2008, 61/078,228 filed Jul. 3, 2008, 61/078,207 filed Jul. 3, 2008, and 61/091,732 filed Aug. 25, 2008. U.S. patent application Ser. No. 12/497,523 also claims the benefit of priority under 35 U.S.C. § 120 as a continuation-in-part of the following U.S. Design patent application No. 29/323,409 filed Aug. 25, 2008 and Ser. No. 29/323,408 filed Aug. 25, 2008. This application is related to the following U.S. Patent Applications: applicationSer. No.Filing DateTitle12/497,528Jul. 2, 2009Noise Shielding for Noninvasive DeviceContoured Protrusion for Improving12/497,523Jul. 2, 2009Spectroscopic Measurement of BloodConstituents12/497,506Jul. 2, 2009Heat Sink for Noninvasive MedicalSensor12/534,812Aug. 3, 2009Multi-Stream Sensor Front Ends for Non-Invasive Measurement of BloodConstituents12/534,823Aug. 3, 2009Multi-Stream Sensor for Non-InvasiveMeasurement of Blood Constituents12/534,825Aug. 3, 2009Multi-Stream Emitter for Non-InvasiveMeasurement of Blood Constituents

US Referenced Citations (1425)
Number Name Date Kind
3910701 Henderson et al. Oct 1975 A
4114604 Shaw et al. Sep 1978 A
4258719 Lewyn Mar 1981 A
4267844 Yamanishi May 1981 A
4438338 Stitt Mar 1984 A
4444471 Ford et al. Apr 1984 A
4653498 New, Jr. et al. Mar 1987 A
4655225 Dahne et al. Apr 1987 A
4684245 Goldring Aug 1987 A
4709413 Forrest Nov 1987 A
4755676 Gaalema et al. Jul 1988 A
4781195 Martin Nov 1988 A
4805623 Jöbsis Feb 1989 A
4825872 Tan et al. May 1989 A
4880304 Jaeb et al. Nov 1989 A
4960128 Gordon et al. Oct 1990 A
4964408 Hink et al. Oct 1990 A
5028787 Rosenthal et al. Jul 1991 A
5035243 Muz Jul 1991 A
5041187 Hink et al. Aug 1991 A
5043820 Wyles et al. Aug 1991 A
5069213 Polczynski Dec 1991 A
5069214 Samaras et al. Dec 1991 A
5077476 Rosenthal Dec 1991 A
5086229 Rosenthal et al. Feb 1992 A
5099842 Mannheimer et al. Mar 1992 A
D326715 Schmidt Jun 1992 S
5122925 Inpyn Jun 1992 A
5131391 Sakai et al. Jul 1992 A
5137023 Mendelson et al. Aug 1992 A
5158091 Butterfiled et al. Oct 1992 A
5159929 McMillen et al. Nov 1992 A
5163438 Gordon et al. Nov 1992 A
5203329 Takatani et al. Apr 1993 A
5222295 Dorris, Jr. Jun 1993 A
5222495 Clarke et al. Jun 1993 A
5222496 Clarke et al. Jun 1993 A
5228449 Christ et al. Jul 1993 A
5249576 Goldberger et al. Oct 1993 A
5250342 Lang Oct 1993 A
5278627 Aoyagi et al. Jan 1994 A
5297548 Pologe Mar 1994 A
5319355 Russek Jun 1994 A
5333616 Mills et al. Aug 1994 A
5337744 Branigan Aug 1994 A
5337745 Benaron Aug 1994 A
5341805 Stavridi et al. Aug 1994 A
5355242 Eastmond et al. Oct 1994 A
5358519 Grandjean Oct 1994 A
5362966 Rosenthal et al. Nov 1994 A
D353195 Savage et al. Dec 1994 S
D353196 Savage et al. Dec 1994 S
5377676 Vari et al. Jan 1995 A
D356870 Ivers et al. Mar 1995 S
D359546 Savage et al. Jun 1995 S
5427093 Ogawa et al. Jun 1995 A
5431170 Mathews Jul 1995 A
D361840 Savage et al. Aug 1995 S
5437275 Amundsen et al. Aug 1995 A
5441054 Tsuchiya Aug 1995 A
D362063 Savage et al. Sep 1995 S
5452717 Branigan et al. Sep 1995 A
D363120 Savage et al. Oct 1995 S
5456252 Vari et al. Oct 1995 A
5462051 Oka et al. Oct 1995 A
5479934 Imran Jan 1996 A
5482034 Lewis et al. Jan 1996 A
5482036 Diab et al. Jan 1996 A
5490505 Diab et al. Feb 1996 A
5490506 Takatani et al. Feb 1996 A
5490523 Isaacson et al. Feb 1996 A
5494043 O'Sullivan et al. Feb 1996 A
5497771 Rosenheimer Mar 1996 A
5511546 Hon Apr 1996 A
5533511 Kaspari et al. Jul 1996 A
5534851 Russek Jul 1996 A
5551422 Simonsen et al. Sep 1996 A
5553615 Carim et al. Sep 1996 A
5553616 Ham et al. Sep 1996 A
5561275 Savage et al. Oct 1996 A
5562002 Lalin Oct 1996 A
5564429 Bornn et al. Oct 1996 A
5584296 Cui et al. Dec 1996 A
5590649 Caro et al. Jan 1997 A
5601079 Wong et al. Feb 1997 A
5602924 Durand et al. Feb 1997 A
D378414 Allen et al. Mar 1997 S
5623925 Swenson et al. Apr 1997 A
5625458 Alfano et al. Apr 1997 A
5632272 Diab et al. May 1997 A
5638816 Kiani-Azarbayjany et al. Jun 1997 A
5638818 Diab et al. Jun 1997 A
5645440 Tobler et al. Jul 1997 A
5676143 Simonsen et al. Oct 1997 A
5685299 Diab et al. Nov 1997 A
5687717 Halpern et al. Nov 1997 A
5699808 John Dec 1997 A
D390666 Lagerlof Feb 1998 S
5729203 Oka et al. Mar 1998 A
D393830 Tobler et al. Apr 1998 S
5743262 Lepper, Jr. et al. Apr 1998 A
5750927 Baltazar May 1998 A
5752914 Delonzor et al. May 1998 A
5758644 Diab et al. Jun 1998 A
5760910 Lepper, Jr. et al. Jun 1998 A
5766131 Kondo et al. Jun 1998 A
5769785 Diab et al. Jun 1998 A
5782757 Diab et al. Jul 1998 A
5785659 Caro et al. Jul 1998 A
5791347 Flaherty et al. Aug 1998 A
5792052 Isaacson et al. Aug 1998 A
5795300 Bryars Aug 1998 A
5800349 Isaacson et al. Sep 1998 A
5807247 Merchant et al. Sep 1998 A
5810734 Caro et al. Sep 1998 A
5823950 Diab et al. Oct 1998 A
5826885 Helgeland Oct 1998 A
5830131 Caro et al. Nov 1998 A
5830137 Scharf Nov 1998 A
5833618 Caro et al. Nov 1998 A
D403070 Maeda et al. Dec 1998 S
5851178 Aronow Dec 1998 A
5860919 Kiani-Azarbayjany et al. Jan 1999 A
5890929 Mills et al. Apr 1999 A
5902235 Lewis et al. May 1999 A
5903357 Colak May 1999 A
5904654 Wohltmann et al. May 1999 A
5919134 Diab Jul 1999 A
5934925 Tobler et al. Aug 1999 A
5940182 Lepper, Jr. et al. Aug 1999 A
5957840 Terasawa et al. Sep 1999 A
D414870 Saltzstein et al. Oct 1999 S
5987343 Kinast Nov 1999 A
5995855 Kiani et al. Nov 1999 A
5997343 Mills et al. Dec 1999 A
6002952 Diab et al. Dec 1999 A
6011986 Diab et al. Jan 2000 A
6018673 Chin et al. Jan 2000 A
6027452 Flaherty et al. Feb 2000 A
6036642 Diab et al. Mar 2000 A
6045509 Caro et al. Apr 2000 A
6049727 Crothall Apr 2000 A
6067462 Diab et al. May 2000 A
6081735 Diab et al. Jun 2000 A
6088607 Diab et al. Jul 2000 A
6102856 Groff et al. Aug 2000 A
6110522 Lepper, Jr. et al. Aug 2000 A
6124597 Shehada Sep 2000 A
6128521 Marro et al. Oct 2000 A
6129675 Jay Oct 2000 A
6144866 Miesel et al. Nov 2000 A
6144868 Parker Nov 2000 A
6151516 Kiani-Azarbayjany et al. Nov 2000 A
6152754 Gerhardt et al. Nov 2000 A
6157850 Diab et al. Dec 2000 A
6165005 Mills et al. Dec 2000 A
6167258 Schmidt et al. Dec 2000 A
6172743 Kley et al. Jan 2001 B1
6175752 Say et al. Jan 2001 B1
6181958 Steuer et al. Jan 2001 B1
6184521 Coffin, IV et al. Feb 2001 B1
6202930 Plesko Mar 2001 B1
6206830 Diab et al. Mar 2001 B1
6223063 Chaiken et al. Apr 2001 B1
6229856 Diab et al. May 2001 B1
6232609 Snyder et al. May 2001 B1
6236872 Diab et al. May 2001 B1
6241680 Miwa Jun 2001 B1
6241683 Macklem et al. Jun 2001 B1
6241684 Amano et al. Jun 2001 B1
6253097 Aronow et al. Jun 2001 B1
6256523 Diab et al. Jul 2001 B1
6263222 Diab et al. Jul 2001 B1
6278522 Lepper, Jr. et al. Aug 2001 B1
6278889 Robinson Aug 2001 B1
6280213 Tobler et al. Aug 2001 B1
6285896 Tobler et al. Sep 2001 B1
6297969 Mottahed Oct 2001 B1
6301493 Marro et al. Oct 2001 B1
6308089 von der Ruhr et al. Oct 2001 B1
6317627 Ennen et al. Nov 2001 B1
6321100 Parker Nov 2001 B1
D452012 Phillips Dec 2001 S
6325761 Jay Dec 2001 B1
6334065 Al-Ali et al. Dec 2001 B1
6343223 Chin et al. Jan 2002 B1
6343224 Parker Jan 2002 B1
6345194 Nelson et al. Feb 2002 B1
6349228 Kiani et al. Feb 2002 B1
6353750 Kimura et al. Mar 2002 B1
6356203 Halleck et al. Mar 2002 B1
6360113 Dettling Mar 2002 B1
6360114 Diab et al. Mar 2002 B1
6360115 Greenwald et al. Mar 2002 B1
D455834 Donars et al. Apr 2002 S
6368283 Xu et al. Apr 2002 B1
6371921 Caro et al. Apr 2002 B1
6377829 Al-Ali Apr 2002 B1
6388240 Schulz et al. May 2002 B2
6397091 Diab et al. May 2002 B2
6430437 Marro Aug 2002 B1
6430525 Weber et al. Aug 2002 B1
D463561 Fukatsu et al. Sep 2002 S
6463187 Baruch et al. Oct 2002 B1
6463311 Diab Oct 2002 B1
6470199 Kopotic et al. Oct 2002 B1
6470893 Boesen Oct 2002 B1
6475153 Khair et al. Nov 2002 B1
RE37922 Sharan Dec 2002 E
6491647 Bridger et al. Dec 2002 B1
6501975 Diab et al. Dec 2002 B2
6505059 Kollias et al. Jan 2003 B1
6515273 Al-Ali Feb 2003 B2
6516289 David et al. Feb 2003 B2
6519487 Parker Feb 2003 B1
6522521 Mizuno et al. Feb 2003 B2
6525386 Mills et al. Feb 2003 B1
6526300 Kiani et al. Feb 2003 B1
6541756 Schulz et al. Apr 2003 B2
6542764 Al-Ali et al. Apr 2003 B1
6556852 Schulze et al. Apr 2003 B1
6580086 Schulz et al. Jun 2003 B1
6584336 Ali et al. Jun 2003 B1
6595316 Cybulski et al. Jul 2003 B2
6597932 Tian et al. Jul 2003 B2
6597933 Kiani et al. Jul 2003 B2
6606509 Schmitt Aug 2003 B2
6606511 Ali et al. Aug 2003 B1
D481459 Nahm Oct 2003 S
6632181 Flaherty et al. Oct 2003 B2
6636759 Robinson Oct 2003 B2
6639668 Trepagnier Oct 2003 B1
6639867 Shim Oct 2003 B2
6640116 Diab Oct 2003 B2
6643530 Diab et al. Nov 2003 B2
6650917 Diab et al. Nov 2003 B2
6650939 Takpke, II et al. Nov 2003 B2
6654624 Diab et al. Nov 2003 B2
6658276 Kiani et al. Dec 2003 B2
6661161 Lanzo et al. Dec 2003 B1
6668185 Toida Dec 2003 B2
6671526 Aoyagi et al. Dec 2003 B1
6671531 Al-Ali et al. Dec 2003 B2
6678543 Diab et al. Jan 2004 B2
6681133 Chaiken et al. Jan 2004 B2
6684090 Ali et al. Jan 2004 B2
6684091 Parker Jan 2004 B2
6697656 Al-Ali Feb 2004 B1
6697657 Shehada et al. Feb 2004 B1
6697658 Al-Ali Feb 2004 B2
RE38476 Diab et al. Mar 2004 E
6699194 Diab et al. Mar 2004 B1
6714804 Al-Ali et al. Mar 2004 B2
RE38492 Diab et al. Apr 2004 E
6721582 Trepagnier et al. Apr 2004 B2
6721585 Parker Apr 2004 B1
6725075 Al-Ali Apr 2004 B2
6728560 Kollias et al. Apr 2004 B2
6735459 Parker May 2004 B2
6745060 Diab et al. Jun 2004 B2
6748254 O'Neil et al. Jun 2004 B2
6760607 Al-Ali Jul 2004 B2
6770028 Ali et al. Aug 2004 B1
6771994 Kiani et al. Aug 2004 B2
6785568 Chance Aug 2004 B2
6792300 Diab et al. Sep 2004 B1
6801799 Mendelson Oct 2004 B2
6811535 Palti et al. Nov 2004 B2
6813511 Diab et al. Nov 2004 B2
6816010 Seetharaman et al. Nov 2004 B2
6816241 Grubisic et al. Nov 2004 B2
6816741 Diab Nov 2004 B2
6822564 Al-Ali Nov 2004 B2
6826419 Diab et al. Nov 2004 B2
6830711 Mills et al. Dec 2004 B2
6831266 Paritsky et al. Dec 2004 B2
6850787 Weber et al. Feb 2005 B2
6850788 Al-Ali Feb 2005 B2
6852083 Caro et al. Feb 2005 B2
D502655 Huang Mar 2005 S
6861639 Al-Ali Mar 2005 B2
6897788 Khair et al. May 2005 B2
6898452 Al-Ali et al. May 2005 B2
6912413 Rantala et al. Jun 2005 B2
6920345 Al-Ali et al. Jul 2005 B2
D508862 Behar et al. Aug 2005 S
6931268 Kiani-Azarbayjany et al. Aug 2005 B1
6934570 Kiani et al. Aug 2005 B2
6939305 Flaherty et al. Sep 2005 B2
6943348 Coffin, IV Sep 2005 B1
6950687 Al-Ali Sep 2005 B2
D510625 Widener et al. Oct 2005 S
6961598 Diab Nov 2005 B2
6970792 Diab Nov 2005 B1
6979812 Al-Ali Dec 2005 B2
6985764 Mason et al. Jan 2006 B2
6993371 Kiani et al. Jan 2006 B2
D514461 Harju Feb 2006 S
6995400 Mizuyoshi Feb 2006 B2
6996427 Ali et al. Feb 2006 B2
6999904 Weber et al. Feb 2006 B2
7003338 Weber et al. Feb 2006 B2
7003339 Diab et al. Feb 2006 B2
7015451 Dalke et al. Mar 2006 B2
7024233 Ali et al. Apr 2006 B2
7026619 Cranford Apr 2006 B2
7027849 Al-Ali Apr 2006 B2
7030749 Al-Ali Apr 2006 B2
7039449 Al-Ali May 2006 B2
7041060 Flaherty et al. May 2006 B2
7044918 Diab May 2006 B2
7047054 Benni May 2006 B2
7048687 Reuss et al. May 2006 B1
7060963 Maegawa et al. Jun 2006 B2
7067893 Mills et al. Jun 2006 B2
7092757 Larson et al. Aug 2006 B2
7096052 Mason et al. Aug 2006 B2
7096054 Abdul-Hafiz et al. Aug 2006 B2
7113815 O'Neil et al. Sep 2006 B2
7132641 Schulz et al. Nov 2006 B2
7142901 Kiani et al. Nov 2006 B2
7149561 Diab Dec 2006 B2
D535031 Barrett et al. Jan 2007 S
D537164 Shigemori et al. Feb 2007 S
7186966 Al-Ali Mar 2007 B2
7190261 Al-Ali Mar 2007 B2
7215984 Diab May 2007 B2
7215986 Diab May 2007 B2
7221971 Diab May 2007 B2
7225006 Al-Ali et al. May 2007 B2
7225007 Al-Ali May 2007 B2
RE39672 Shehada et al. Jun 2007 E
7227156 Colvin, Jr. et al. Jun 2007 B2
7230227 Wilcken et al. Jun 2007 B2
D547454 Hsieh Jul 2007 S
7239905 Kiani-Azarbayjany et al. Jul 2007 B2
7245953 Parker Jul 2007 B1
D549830 Behar et al. Aug 2007 S
7254429 Schurman et al. Aug 2007 B2
7254431 Al-Ali Aug 2007 B2
7254433 Diab et al. Aug 2007 B2
7254434 Schulz et al. Aug 2007 B2
D550364 Glover et al. Sep 2007 S
D551350 Lorimer et al. Sep 2007 S
7272425 Al-Ali Sep 2007 B2
7274955 Kiani et al. Sep 2007 B2
D553248 Nguyen Oct 2007 S
D554263 Al-Ali Oct 2007 S
7280858 Al-Ali et al. Oct 2007 B2
7289835 Mansfield et al. Oct 2007 B2
7292883 De Felice et al. Nov 2007 B2
7295866 Al-Ali Nov 2007 B2
D562985 Brefka et al. Feb 2008 S
7328053 Diab et al. Feb 2008 B1
7332784 Mills et al. Feb 2008 B2
7340287 Mason et al. Mar 2008 B2
7341559 Schulz et al. Mar 2008 B2
7343186 Lamego et al. Mar 2008 B2
D566282 Al-Ali et al. Apr 2008 S
D567125 Okabe et al. Apr 2008 S
7355512 Al-Ali Apr 2008 B1
7356365 Schurman Apr 2008 B2
7365923 Hargis et al. Apr 2008 B2
D569001 Omaki May 2008 S
D569521 Omaki May 2008 S
7371981 Abdul-Hafiz May 2008 B2
7373193 Al-Ali et al. May 2008 B2
7373194 Weber et al. May 2008 B2
7376453 Diab et al. May 2008 B1
7377794 Al Ali et al. May 2008 B2
7377899 Weber et al. May 2008 B2
7383070 Diab et al. Jun 2008 B2
7395189 Qing et al. Jul 2008 B2
7415297 Al-Ali et al. Aug 2008 B2
7428432 Ali et al. Sep 2008 B2
7438683 Al-Ali et al. Oct 2008 B2
7440787 Diab Oct 2008 B2
7454240 Diab et al. Nov 2008 B2
7467002 Weber et al. Dec 2008 B2
7469157 Diab et al. Dec 2008 B2
7471969 Diab et al. Dec 2008 B2
7471971 Diab et al. Dec 2008 B2
7483729 Al-Ali et al. Jan 2009 B2
7483730 Diab et al. Jan 2009 B2
7489958 Diab et al. Feb 2009 B2
7496391 Diab et al. Feb 2009 B2
7496393 Diab et al. Feb 2009 B2
D587657 Al-Ali et al. Mar 2009 S
7499741 Diab et al. Mar 2009 B2
7499835 Weber et al. Mar 2009 B2
7500950 Al-Ali et al. Mar 2009 B2
7509153 Blank et al. Mar 2009 B2
7509154 Diab et al. Mar 2009 B2
7509494 Al-Ali Mar 2009 B2
7510849 Schurman et al. Mar 2009 B2
7519327 White Apr 2009 B2
7526328 Diab et al. Apr 2009 B2
7530942 Diab May 2009 B1
7530949 Al Ali et al. May 2009 B2
7530955 Diab et al. May 2009 B2
7563110 Al-Ali et al. Jul 2009 B2
7596398 Al-Ali et al. Sep 2009 B2
7601123 Tweed et al. Oct 2009 B2
7606606 Laakkonen Oct 2009 B2
D603966 Jones et al. Nov 2009 S
7613490 Sarussi et al. Nov 2009 B2
7618375 Flaherty Nov 2009 B2
D606659 Kiani et al. Dec 2009 S
7647083 Al-Ali et al. Jan 2010 B2
D609193 Al-Ali et al. Feb 2010 S
7657294 Eghbal et al. Feb 2010 B2
7657295 Coakley et al. Feb 2010 B2
7657296 Raridan et al. Feb 2010 B2
D614305 Al-Ali et al. Apr 2010 S
RE41317 Parker May 2010 E
7726209 Ruotoistenmäki Jun 2010 B2
7729733 Al-Ali et al. Jun 2010 B2
7734320 Al-Ali Jun 2010 B2
7740588 Sciarra Jun 2010 B1
7740589 Maschke et al. Jun 2010 B2
7761127 Al-Ali et al. Jul 2010 B2
7761128 Al-Ali et al. Jul 2010 B2
7764982 Dalke et al. Jul 2010 B2
D621516 Kiani et al. Aug 2010 S
7791155 Diab Sep 2010 B2
7801581 Diab Sep 2010 B2
7809418 Xu Oct 2010 B2
7822452 Schurman et al. Oct 2010 B2
RE41912 Parker Nov 2010 E
7844313 Kiani et al. Nov 2010 B2
7844314 Al-Ali Nov 2010 B2
7844315 Al-Ali Nov 2010 B2
7862523 Ruotoistenmaki Jan 2011 B2
7865222 Weber et al. Jan 2011 B2
7869849 Ollerdessen et al. Jan 2011 B2
7873497 Weber et al. Jan 2011 B2
7880606 Al-Ali Feb 2011 B2
7880626 Al-Ali et al. Feb 2011 B2
7884314 Hamada Feb 2011 B2
7891355 Al-Ali et al. Feb 2011 B2
7894868 Al-Ali et al. Feb 2011 B2
7899506 Xu et al. Mar 2011 B2
7899507 Al-Ali et al. Mar 2011 B2
7899510 Hoarau Mar 2011 B2
7899518 Trepagnier et al. Mar 2011 B2
7904132 Weber et al. Mar 2011 B2
7909772 Popov et al. Mar 2011 B2
7910875 Al-Ali Mar 2011 B2
7919713 Al-Ali et al. Apr 2011 B2
7937128 Al-Ali May 2011 B2
7937129 Mason et al. May 2011 B2
7937130 Diab et al. May 2011 B2
7941199 Kiani May 2011 B2
7951086 Flaherty et al. May 2011 B2
7957780 Lamego et al. Jun 2011 B2
7962188 Kiani et al. Jun 2011 B2
7962190 Diab et al. Jun 2011 B1
7976472 Kiani Jul 2011 B2
7988637 Diab Aug 2011 B2
7990382 Kiani Aug 2011 B2
7991446 Ali et al. Aug 2011 B2
8000761 Al-Ali Aug 2011 B2
8008088 Bellott et al. Aug 2011 B2
RE42753 Kiani-Azarbayjany et al. Sep 2011 E
8019400 Diab et al. Sep 2011 B2
8028701 Al-Ali et al. Oct 2011 B2
8029765 Bellott et al. Oct 2011 B2
8036727 Schurman et al. Oct 2011 B2
8036728 Diab et al. Oct 2011 B2
8044998 Heenan Oct 2011 B2
8046040 Ali et al. Oct 2011 B2
8046041 Diab et al. Oct 2011 B2
8046042 Diab et al. Oct 2011 B2
8048040 Kiani Nov 2011 B2
8050728 Al-Ali et al. Nov 2011 B2
8071935 Besko et al. Dec 2011 B2
RE43169 Parker Feb 2012 E
8118620 Al-Ali et al. Feb 2012 B2
8126528 Diab et al. Feb 2012 B2
8126531 Crowley Feb 2012 B2
8128572 Diab et al. Mar 2012 B2
8130105 Al-Ali et al. Mar 2012 B2
8145287 Diab et al. Mar 2012 B2
8150487 Diab et al. Apr 2012 B2
8175672 Parker May 2012 B2
8180420 Diab et al. May 2012 B2
8182443 Kiani May 2012 B1
8185180 Diab et al. May 2012 B2
8190223 Al-Ali et al. May 2012 B2
8190227 Diab et al. May 2012 B2
8203438 Kiani et al. Jun 2012 B2
8203704 Merritt et al. Jun 2012 B2
8204566 Schurman et al. Jun 2012 B2
8219170 Hausmann et al. Jul 2012 B2
8219172 Schurman et al. Jul 2012 B2
8224411 Al-Ali et al. Jul 2012 B2
8228181 Al-Ali Jul 2012 B2
8229532 Davis Jul 2012 B2
8229533 Diab et al. Jul 2012 B2
8233955 Al-Ali et al. Jul 2012 B2
8244325 Al-Ali et al. Aug 2012 B2
8244326 Ninomiya et al. Aug 2012 B2
8255026 Al-Ali Aug 2012 B1
8255027 Al-Ali et al. Aug 2012 B2
8255028 Al-Ali et al. Aug 2012 B2
8260577 Weber et al. Sep 2012 B2
8265723 McHale et al. Sep 2012 B1
8274360 Sampath et al. Sep 2012 B2
8280473 Al-Ali Oct 2012 B2
8289130 Nakajima et al. Oct 2012 B2
8301217 Al-Ali et al. Oct 2012 B2
8306596 Schurman et al. Nov 2012 B2
8310336 Muhsin et al. Nov 2012 B2
8315683 Al-Ali et al. Nov 2012 B2
RE43860 Parker Dec 2012 E
8280469 Baker, Jr. Dec 2012 B2
8332006 Naganuma et al. Dec 2012 B2
8337403 Al-Ali et al. Dec 2012 B2
8346330 Lamego Jan 2013 B2
8353842 Al-Ali et al. Jan 2013 B2
8355766 MacNeish, III et al. Jan 2013 B2
8359080 Diab et al. Jan 2013 B2
8364223 Al-Ali et al. Jan 2013 B2
8364226 Diab et al. Jan 2013 B2
8364389 Dorogusker et al. Jan 2013 B2
8374665 Lamego Feb 2013 B2
8380272 Barrett et al. Feb 2013 B2
8385995 Al-ali et al. Feb 2013 B2
8385996 Smith et al. Feb 2013 B2
8388353 Kiani et al. Mar 2013 B2
8399822 Al-Ali Mar 2013 B2
8401602 Kiani Mar 2013 B2
8405608 Al-Ali et al. Mar 2013 B2
8414499 Al-Ali et al. Apr 2013 B2
8418524 Al-Ali Apr 2013 B2
8421022 Rozenfeld Apr 2013 B2
8423106 Lamego et al. Apr 2013 B2
8428674 Duffy et al. Apr 2013 B2
8428967 Olsen et al. Apr 2013 B2
8430817 Al-Ali et al. Apr 2013 B1
8437825 Dalvi et al. May 2013 B2
8452364 Hannula et al. May 2013 B2
8455290 Siskavich Jun 2013 B2
8457703 Al-Ali Jun 2013 B2
8457707 Kiani Jun 2013 B2
8463349 Diab et al. Jun 2013 B2
8466286 Bellot et al. Jun 2013 B2
8471713 Poeze et al. Jun 2013 B2
8473020 Kiani et al. Jun 2013 B2
8483787 Al-Ali et al. Jul 2013 B2
8489364 Weber et al. Jul 2013 B2
8496595 Jornod Jul 2013 B2
8498684 Weber et al. Jul 2013 B2
8504128 Blank et al. Aug 2013 B2
8509867 Workman et al. Aug 2013 B2
8515509 Bruinsma et al. Aug 2013 B2
8515515 McKenna et al. Aug 2013 B2
8523781 Al-Ali Sep 2013 B2
8529301 Al-Ali et al. Sep 2013 B2
8532727 Ali et al. Sep 2013 B2
8532728 Diab et al. Sep 2013 B2
D692145 Al-Ali et al. Oct 2013 S
8547209 Kiani et al. Oct 2013 B2
8548548 Al-Ali Oct 2013 B2
8548549 Schurman et al. Oct 2013 B2
8548550 Al-Ali et al. Oct 2013 B2
8560032 Al-Ali et al. Oct 2013 B2
8560034 Diab et al. Oct 2013 B1
8570167 Al-Ali Oct 2013 B2
8570503 Vo Oct 2013 B2
8571617 Reichgott et al. Oct 2013 B2
8571618 Lamego et al. Oct 2013 B1
8571619 Al-Ali et al. Oct 2013 B2
8577431 Lamego et al. Nov 2013 B2
8581732 Al-Ali et al. Nov 2013 B2
8584345 Al-Ali et al. Nov 2013 B2
8588880 Abdul-Hafiz et al. Nov 2013 B2
8591426 Onoe et al. Nov 2013 B2
8600467 Al-Ali et al. Dec 2013 B2
8602971 Farr Dec 2013 B2
8606342 Diab Dec 2013 B2
8615290 Lin et al. Dec 2013 B2
8626255 Al-Ali et al. Jan 2014 B2
8630691 Lamego et al. Jan 2014 B2
8634889 Al-Ali et al. Jan 2014 B2
8641631 Sierra et al. Feb 2014 B2
8652060 Al-Ali Feb 2014 B2
8655004 Prest et al. Feb 2014 B2
8663107 Kiani Mar 2014 B2
8666468 Al-Ali Mar 2014 B1
8667967 Al-Ali et al. Mar 2014 B2
8670811 O'Reilly Mar 2014 B2
8670814 Diab et al. Mar 2014 B2
8676286 Weber et al. Mar 2014 B2
8682407 Al-Ali Mar 2014 B2
RE44823 Parker Apr 2014 E
RE44875 Kiani et al. Apr 2014 E
8688183 Bruinsma et al. Apr 2014 B2
8690799 Telfort et al. Apr 2014 B2
8700111 LeBoeuf et al. Apr 2014 B2
8700112 Kiani Apr 2014 B2
8702627 Telfort et al. Apr 2014 B2
8706179 Parker Apr 2014 B2
8712494 MacNeish, III et al. Apr 2014 B1
8715206 Telfort et al. May 2014 B2
8718735 Lamego et al. May 2014 B2
8718737 Diab et al. May 2014 B2
8718738 Blank et al. May 2014 B2
8720249 Al-Ali May 2014 B2
8721541 Al-Ali et al. May 2014 B2
8721542 Al-Ali et al. May 2014 B2
8723677 Kiani May 2014 B1
8740792 Kiani et al. Jun 2014 B1
8754776 Poeze et al. Jun 2014 B2
8755535 Telfort et al. Jun 2014 B2
8755856 Diab et al. Jun 2014 B2
8755872 Marinow Jun 2014 B1
8760517 Sarwar et al. Jun 2014 B2
8761850 Lamego Jun 2014 B2
8764671 Kiani Jul 2014 B2
8768423 Shakespeare et al. Jul 2014 B2
8768426 Haisley et al. Jul 2014 B2
8771204 Telfort et al. Jul 2014 B2
8777634 Kiani et al. Jul 2014 B2
8781543 Diab et al. Jul 2014 B2
8781544 Al-Ali et al. Jul 2014 B2
8781549 Al-Ali et al. Jul 2014 B2
8788003 Schurman et al. Jul 2014 B2
8790268 Al-Ali Jul 2014 B2
8801613 Al-Ali et al. Aug 2014 B2
8821397 Al-Ali et al. Sep 2014 B2
8821415 Al-Ali et al. Sep 2014 B2
8830449 Lamego et al. Sep 2014 B1
8831700 Schurman et al. Sep 2014 B2
8838210 Wood et al. Sep 2014 B2
8840549 Al-Ali et al. Sep 2014 B2
8847740 Kiani et al. Sep 2014 B2
8849365 Smith et al. Sep 2014 B2
8852094 Al-Ali et al. Oct 2014 B2
8852994 Wojtczuk et al. Oct 2014 B2
8868147 Stippick et al. Oct 2014 B2
8868150 Al-Ali et al. Oct 2014 B2
8870792 Al-Ali et al. Oct 2014 B2
8886271 Kiani et al. Nov 2014 B2
8888539 Al-Ali et al. Nov 2014 B2
8888708 Diab et al. Nov 2014 B2
8892180 Weber et al. Nov 2014 B2
8897847 Al-Ali Nov 2014 B2
8909310 Lamego et al. Dec 2014 B2
8911377 Al-Ali Dec 2014 B2
8912909 Al-Ali et al. Dec 2014 B2
8920317 Al-Ali et al. Dec 2014 B2
8920332 Hong et al. Dec 2014 B2
8921699 Al-Ali et al. Dec 2014 B2
8922382 Al-Ali et al. Dec 2014 B2
8929964 Al-Ali et al. Jan 2015 B2
8942777 Diab et al. Jan 2015 B2
8948834 Diab et al. Feb 2015 B2
8948835 Diab Feb 2015 B2
8965471 Lamego Feb 2015 B2
8983564 Al-Ali Mar 2015 B2
8989831 Al-Ali et al. Mar 2015 B2
8996085 Kiani et al. Mar 2015 B2
8998809 Kiani Apr 2015 B2
9028429 Telfort et al. May 2015 B2
9037207 Al-Ali et al. May 2015 B2
9060721 Reichgott et al. Jun 2015 B2
9066666 Kiani Jun 2015 B2
9066680 Al-Ali et al. Jun 2015 B1
9072437 Paalasmaa Jul 2015 B2
9072474 Al-Ali et al. Jul 2015 B2
9078560 Schurman et al. Jul 2015 B2
9081889 Ingrassia, Jr. et al. Jul 2015 B2
9084569 Weber et al. Jul 2015 B2
9095316 Welch et al. Aug 2015 B2
9106038 Telfort et al. Aug 2015 B2
9107625 Telfort et al. Aug 2015 B2
9107626 Al-Ali et al. Aug 2015 B2
9113831 Al-Ali Aug 2015 B2
9113832 Al-Ali Aug 2015 B2
9119595 Lamego Sep 2015 B2
9131881 Diab et al. Sep 2015 B2
9131882 Al-Ali et al. Sep 2015 B2
9131883 Al-Ali Sep 2015 B2
9131917 Telfort et al. Sep 2015 B2
9138180 Coverston et al. Sep 2015 B1
9138182 Al-Ali et al. Sep 2015 B2
9138192 Weber et al. Sep 2015 B2
9142117 Muhsin et al. Sep 2015 B2
9153112 Kiani et al. Oct 2015 B1
9153121 Kiani et al. Oct 2015 B2
9161696 Al-Ali et al. Oct 2015 B2
9161713 Al-Ali et al. Oct 2015 B2
9167995 Lamego et al. Oct 2015 B2
9176141 Al-Ali et al. Nov 2015 B2
9186102 Bruinsma et al. Nov 2015 B2
9192312 Al-Ali Nov 2015 B2
9192329 Al-Ali Nov 2015 B2
9192351 Telfort et al. Nov 2015 B1
9195385 Al-Ali et al. Nov 2015 B2
9210566 Ziemianska et al. Dec 2015 B2
9211072 Kiani Dec 2015 B2
9211095 Al-Ali Dec 2015 B1
9218454 Kiani et al. Dec 2015 B2
9226696 Kiani Jan 2016 B2
9241662 Al-Ali et al. Jan 2016 B2
9245668 Vo et al. Jan 2016 B1
9259185 Abdul-Hafiz et al. Feb 2016 B2
9267572 Barker et al. Feb 2016 B2
9277880 Poeze et al. Mar 2016 B2
9289167 Diab et al. Mar 2016 B2
9295421 Kiani et al. Mar 2016 B2
9307928 Al-Ali et al. Apr 2016 B1
9311382 Varoglu et al. Apr 2016 B2
9323894 Kiani Apr 2016 B2
D755392 Hwang et al. May 2016 S
9326712 Kiani May 2016 B1
9333316 Kiani May 2016 B2
9339220 Lamego et al. May 2016 B2
9339236 Frix et al. May 2016 B2
9341565 Lamego et al. May 2016 B2
9351673 Diab et al. May 2016 B2
9351675 Al-Ali et al. May 2016 B2
9357665 Myers et al. May 2016 B2
9364181 Kiani et al. Jun 2016 B2
9368671 Wojtczuk et al. Jun 2016 B2
9370325 Al-Ali et al. Jun 2016 B2
9370326 McHale et al. Jun 2016 B2
9370335 Al-ali et al. Jun 2016 B2
9375185 Ali et al. Jun 2016 B2
9386953 Al-Ali Jul 2016 B2
9386961 Al-Ali et al. Jul 2016 B2
9392945 Al-Ali et al. Jul 2016 B2
9397448 Al-Ali et al. Jul 2016 B2
9408542 Kinast et al. Aug 2016 B1
9436645 Al-Ali et al. Sep 2016 B2
9445759 Lamego et al. Sep 2016 B1
9466919 Kiani et al. Oct 2016 B2
9474474 Lamego et al. Oct 2016 B2
9480422 Al-Ali Nov 2016 B2
9480435 Olsen Nov 2016 B2
9489081 Anzures et al. Nov 2016 B2
9492110 Al-Ali et al. Nov 2016 B2
9497534 Prest et al. Nov 2016 B2
9510779 Poeze et al. Dec 2016 B2
9517024 Kiani et al. Dec 2016 B2
9526430 Srinivas et al. Dec 2016 B2
9532722 Lamego et al. Jan 2017 B2
9538949 Al-Ali et al. Jan 2017 B2
9538980 Telfort et al. Jan 2017 B2
9549696 Lamego et al. Jan 2017 B2
9553625 Hatanaka et al. Jan 2017 B2
9554737 Schurman et al. Jan 2017 B2
9560996 Kiani Feb 2017 B2
9560998 Al-Ali et al. Feb 2017 B2
9566019 Al-Ali et al. Feb 2017 B2
9579039 Jansen et al. Feb 2017 B2
9591975 Dalvi et al. Mar 2017 B2
9593969 King Mar 2017 B2
9622692 Lamego et al. Apr 2017 B2
9622693 Diab Apr 2017 B2
D788312 Al-Ali et al. May 2017 S
9636055 Al-Ali et al. May 2017 B2
9636056 Al-Ali May 2017 B2
9649054 Lamego et al. May 2017 B2
9651405 Gowreesunker et al. May 2017 B1
9662052 Al-Ali et al. May 2017 B2
9668676 Culbert Jun 2017 B2
9668679 Schurman et al. Jun 2017 B2
9668680 Bruinsma et al. Jun 2017 B2
9668703 Al-Ali Jun 2017 B2
9675286 Diab Jun 2017 B2
9681812 Presura Jun 2017 B2
9684900 Motoki et al. Jun 2017 B2
9687160 Kiani Jun 2017 B2
9693719 Al-Ali et al. Jul 2017 B2
9693737 Al-Ali Jul 2017 B2
9697928 Al-Ali et al. Jul 2017 B2
9699546 Qian et al. Jul 2017 B2
9700249 Johnson et al. Jul 2017 B2
9716937 Qian et al. Jul 2017 B2
9717425 Kiani et al. Aug 2017 B2
9717448 Frix et al. Aug 2017 B2
9717458 Lamego et al. Aug 2017 B2
9723997 Lamego Aug 2017 B1
9724016 Al-Ali et al. Aug 2017 B1
9724024 Al-Ali Aug 2017 B2
9724025 Kiani et al. Aug 2017 B1
9730640 Diab et al. Aug 2017 B2
9743887 Al-Ali et al. Aug 2017 B2
9749232 Sampath et al. Aug 2017 B2
9750442 Olsen Sep 2017 B2
9750443 Smith et al. Sep 2017 B2
9750461 Telfort Sep 2017 B1
9752925 Chu et al. Sep 2017 B2
9775545 Al-Ali et al. Oct 2017 B2
9775546 Diab et al. Oct 2017 B2
9775570 Al-Ali Oct 2017 B2
9778079 Al-Ali et al. Oct 2017 B1
9781984 Baranski et al. Oct 2017 B2
9782077 Lamego et al. Oct 2017 B2
9782110 Kiani Oct 2017 B2
9787568 Lamego et al. Oct 2017 B2
9788735 Al-Ali Oct 2017 B2
9788768 Al-Ali et al. Oct 2017 B2
9795300 Al-Ali Oct 2017 B2
9795310 Al-Ali Oct 2017 B2
9795358 Telfort et al. Oct 2017 B2
9795739 Al-Ali et al. Oct 2017 B2
9801556 Kiani Oct 2017 B2
9801588 Weber et al. Oct 2017 B2
9808188 Perea et al. Nov 2017 B1
9814418 Weber et al. Nov 2017 B2
9820691 Kiani Nov 2017 B2
9833152 Kiani et al. Dec 2017 B2
9833180 Shakespeare et al. Dec 2017 B2
9838775 Qian et al. Dec 2017 B2
9839379 Al-Ali et al. Dec 2017 B2
9839381 Weber et al. Dec 2017 B1
9847002 Kiani et al. Dec 2017 B2
9847749 Kiani et al. Dec 2017 B2
9848800 Lee et al. Dec 2017 B1
9848806 Al-Ali et al. Dec 2017 B2
9848807 Lamego Dec 2017 B2
9848823 Raghuram et al. Dec 2017 B2
9861298 Eckerbom et al. Jan 2018 B2
9861304 Al-Ali et al. Jan 2018 B2
9861305 Weber et al. Jan 2018 B1
9866671 Thompson et al. Jan 2018 B1
9867575 Maani et al. Jan 2018 B2
9867578 Al-Ali et al. Jan 2018 B2
9872623 Al-Ali Jan 2018 B2
9876320 Coverston et al. Jan 2018 B2
9877650 Muhsin et al. Jan 2018 B2
9877686 Al-Ali et al. Jan 2018 B2
9891079 Dalvi Feb 2018 B2
9891590 Shim et al. Feb 2018 B2
9895107 Al-Ali et al. Feb 2018 B2
9898049 Myers et al. Feb 2018 B2
9913617 Al-Ali et al. Mar 2018 B2
9918646 Singh Alvarado et al. Mar 2018 B2
9924893 Schurman et al. Mar 2018 B2
9924897 Abdul-Hafiz Mar 2018 B1
9936917 Poeze et al. Apr 2018 B2
9943269 Muhsin et al. Apr 2018 B2
9949676 Al-Ali Apr 2018 B2
9952095 Hotelling et al. Apr 2018 B1
9955937 Telfort May 2018 B2
9965946 Al-Ali May 2018 B2
9980667 Kiani et al. May 2018 B2
D820865 Muhsin et al. Jun 2018 S
9986919 Lamego et al. Jun 2018 B2
9986952 Dalvi et al. Jun 2018 B2
9989560 Poeze et al. Jun 2018 B2
9993207 Al-Ali et al. Jun 2018 B2
10007758 Al-Ali et al. Jun 2018 B2
D822215 Al-Ali et al. Jul 2018 S
D822216 Barker et al. Jul 2018 S
10010276 Al-Ali et al. Jul 2018 B2
10032002 Kiani et al. Jul 2018 B2
10039080 Miller et al. Jul 2018 B2
10039482 Al-Ali et al. Aug 2018 B2
10039491 Thompson et al. Aug 2018 B2
10052037 Kinast et al. Aug 2018 B2
10055121 Chaudhri et al. Aug 2018 B2
10058275 Al-Ali et al. Aug 2018 B2
10064562 Al-Ali Sep 2018 B2
10066970 Gowreesunker et al. Sep 2018 B2
10076257 Lin et al. Sep 2018 B2
10078052 Ness et al. Sep 2018 B2
10086138 Novak, Jr. Oct 2018 B1
10092200 Al-Ali et al. Oct 2018 B2
10092244 Chuang et al. Oct 2018 B2
10092249 Kiani et al. Oct 2018 B2
10098550 Al-Ali et al. Oct 2018 B2
10098591 Al-Ali et al. Oct 2018 B2
10098610 Al-Ali et al. Oct 2018 B2
D833624 DeJong et al. Nov 2018 S
10117587 Han Nov 2018 B2
10123726 Al-Ali et al. Nov 2018 B2
10130289 Al-Ali et al. Nov 2018 B2
10130291 Schurman et al. Nov 2018 B2
D835282 Barker et al. Dec 2018 S
D835283 Barker et al. Dec 2018 S
D835284 Barker et al. Dec 2018 S
D835285 Barker et al. Dec 2018 S
10149616 Al-Ali et al. Dec 2018 B2
10154815 Al-Ali et al. Dec 2018 B2
10159412 Lamego et al. Dec 2018 B2
10165954 Lee Jan 2019 B2
10188296 Al-Ali et al. Jan 2019 B2
10188331 Al-Ali et al. Jan 2019 B1
10188348 Kiani et al. Jan 2019 B2
RE47218 Ali-Ali Feb 2019 E
RE47244 Kiani et al. Feb 2019 E
RE47249 Kiani et al. Feb 2019 E
10194847 Al-Ali Feb 2019 B2
10194848 Kiani et al. Feb 2019 B1
10201286 Waydo Feb 2019 B2
10201298 Al-Ali et al. Feb 2019 B2
10205272 Kiani et al. Feb 2019 B2
10205291 Scruggs et al. Feb 2019 B2
10213108 Al-Ali Feb 2019 B2
10215698 Han et al. Feb 2019 B2
10219706 Al-Ali Mar 2019 B2
10219746 McHale et al. Mar 2019 B2
10219754 Lamego Mar 2019 B1
10226187 Al-Ali et al. Mar 2019 B2
10226576 Kiani Mar 2019 B2
10231657 Al-Ali et al. Mar 2019 B2
10231670 Blank et al. Mar 2019 B2
10231676 Al-Ali et al. Mar 2019 B2
RE47353 Kiani et al. Apr 2019 E
10247670 Ness et al. Apr 2019 B2
10251585 Al-Ali et al. Apr 2019 B2
10251586 Lamego Apr 2019 B2
10255994 Sampath et al. Apr 2019 B2
10258265 Poeze et al. Apr 2019 B1
10258266 Poeze et al. Apr 2019 B1
10265024 Lee et al. Apr 2019 B2
10271748 Al-Ali Apr 2019 B2
10278626 Schurman et al. May 2019 B2
10278648 Al-Ali et al. May 2019 B2
10279247 Kiani May 2019 B2
10285626 Kestelli et al. May 2019 B1
10292628 Poeze et al. May 2019 B1
10292657 Abdul-Hafiz et al. May 2019 B2
10292664 Al-Ali May 2019 B2
10299708 Poeze et al. May 2019 B1
10299709 Perea et al. May 2019 B2
10305775 Lamego et al. May 2019 B2
10307111 Muhsin et al. Jun 2019 B2
10325681 Sampath et al. Jun 2019 B2
10327337 Triman et al. Jun 2019 B2
10327713 Barker et al. Jun 2019 B2
10332630 Al-Ali Jun 2019 B2
10335033 Al-Ali Jul 2019 B2
10335068 Poeze et al. Jul 2019 B2
10335072 Al-Ali et al. Jul 2019 B2
10342470 Al-Ali et al. Jul 2019 B2
10342487 Al-Ali et al. Jul 2019 B2
10342497 Al-Ali et al. Jul 2019 B2
10349895 Telfort et al. Jul 2019 B2
10349898 Al-Ali et al. Jul 2019 B2
10354504 Kiani et al. Jul 2019 B2
10357206 Weber et al. Jul 2019 B2
10357209 Al-Ali Jul 2019 B2
10366787 Sampath et al. Jul 2019 B2
10368787 Reichgott et al. Aug 2019 B2
10376190 Poeze et al. Aug 2019 B1
10376191 Poeze et al. Aug 2019 B1
10383520 Wojtczuk et al. Aug 2019 B2
10383527 Al-Ali Aug 2019 B2
10388120 Muhsin et al. Aug 2019 B2
10390716 Shimuta Aug 2019 B2
10398320 Kiani et al. Sep 2019 B2
10398383 van Dinther et al. Sep 2019 B2
10405804 Al-Ali Sep 2019 B2
10406445 Vock et al. Sep 2019 B2
10413666 Al-Ali et al. Sep 2019 B2
10416079 Magnussen et al. Sep 2019 B2
10420493 Al-Ali et al. Sep 2019 B2
D864120 Forrest et al. Oct 2019 S
10433776 Al-Ali Oct 2019 B2
10441181 Telfort et al. Oct 2019 B1
10448844 Al-Ali et al. Oct 2019 B2
10448871 Al-Ali Oct 2019 B2
10456038 Lamego et al. Oct 2019 B2
10463284 Al-Ali et al. Nov 2019 B2
10463340 Telfort et al. Nov 2019 B2
10470695 Al-Ali Nov 2019 B2
10471159 Lapotko et al. Nov 2019 B1
10478107 Kiani et al. Nov 2019 B2
10503379 Al-Ali et al. Dec 2019 B2
10505311 Al-Ali et al. Dec 2019 B2
10512436 Muhsin et al. Dec 2019 B2
10524706 Telfort et al. Jan 2020 B2
10524738 Olsen Jan 2020 B2
10531811 Al-Ali et al. Jan 2020 B2
10531819 Diab et al. Jan 2020 B2
10531835 Al-Ali et al. Jan 2020 B2
10532174 Al-Ali Jan 2020 B2
10537285 Sherim et al. Jan 2020 B2
10542903 Al-Ali et al. Jan 2020 B2
10548561 Telfort et al. Feb 2020 B2
10555678 Dalvi et al. Feb 2020 B2
10568514 Wojtczuk et al. Feb 2020 B2
10568553 O'Neil et al. Feb 2020 B2
RE47882 Al-Ali Mar 2020 E
10575779 Poeze et al. Mar 2020 B2
10582886 Poeze et al. Mar 2020 B2
10588518 Kiani Mar 2020 B2
10588553 Poeze et al. Mar 2020 B2
10588554 Poeze et al. Mar 2020 B2
10588556 Kiani et al. Mar 2020 B2
10595747 Al-Ali et al. Mar 2020 B2
10608817 Haider et al. Mar 2020 B2
10610138 Poeze et al. Apr 2020 B2
10617338 Poeze et al. Apr 2020 B2
10624563 Poeze et al. Apr 2020 B2
10624564 Poeze et al. Apr 2020 B1
10631765 Poeze et al. Apr 2020 B1
10638961 Al-Ali May 2020 B2
20020045836 Alkawwas Apr 2002 A1
20020099279 Pfeiffer et al. Jul 2002 A1
20020111546 Cook et al. Aug 2002 A1
20030036690 Geddes et al. Feb 2003 A1
20030158501 Uchida et al. Aug 2003 A1
20040054290 Chance Mar 2004 A1
20040114783 Spycher et al. Jun 2004 A1
20040133081 Teller et al. Jul 2004 A1
20050020927 Blondeau et al. Jan 2005 A1
20050054940 Almen Mar 2005 A1
20050116820 Goldreich Jun 2005 A1
20050192490 Yamamoto et al. Sep 2005 A1
20060005944 Wang et al. Jan 2006 A1
20060009607 Lutz et al. Jan 2006 A1
20060020180 Al-Ali Jan 2006 A1
20060025659 Kiguchi et al. Feb 2006 A1
20060161054 Reuss et al. Jul 2006 A1
20060182659 Unlu et al. Aug 2006 A1
20060253010 Brady et al. Nov 2006 A1
20060258928 Ortner et al. Nov 2006 A1
20070073117 Raridan Mar 2007 A1
20070100222 Mastrototaro et al. May 2007 A1
20070106172 Abreu May 2007 A1
20070149864 Laakkonen Jun 2007 A1
20070208395 Leclerc et al. Sep 2007 A1
20070238955 Tearney et al. Oct 2007 A1
20070249916 Pesach et al. Oct 2007 A1
20070260130 Chin Nov 2007 A1
20070293792 Sliwa et al. Dec 2007 A1
20080004513 Walker et al. Jan 2008 A1
20080015424 Bernreuter Jan 2008 A1
20080076980 Hoarau Mar 2008 A1
20080081966 Debreczeny Apr 2008 A1
20080130232 Yamamoto Jun 2008 A1
20080139908 Kurth Jun 2008 A1
20080190436 Jaffe et al. Aug 2008 A1
20080221426 Baker et al. Sep 2008 A1
20080221463 Baker Sep 2008 A1
20090030327 Chance Jan 2009 A1
20090043180 Tschautscher et al. Feb 2009 A1
20090129102 Xiao et al. May 2009 A1
20090163775 Barrett et al. Jun 2009 A1
20090177097 Ma et al. Jul 2009 A1
20090187085 Pav Jul 2009 A1
20090234206 Gaspard et al. Sep 2009 A1
20090247885 Suzuki et al. Oct 2009 A1
20090247984 Lamego et al. Oct 2009 A1
20090259114 Johnson et al. Oct 2009 A1
20090270699 Scholler et al. Oct 2009 A1
20090275813 Davis Nov 2009 A1
20090275844 Al-Ali Nov 2009 A1
20090306487 Crowe et al. Dec 2009 A1
20100004518 Vo et al. Jan 2010 A1
20100030040 Poeze et al. Feb 2010 A1
20100030043 Kuhn Feb 2010 A1
20100113948 Yang et al. May 2010 A1
20100130841 Ozawa et al. May 2010 A1
20100210925 Holley et al. Aug 2010 A1
20100305416 Bedard et al. Dec 2010 A1
20110001605 Kiani et al. Jan 2011 A1
20110004079 Al-Ali et al. Jan 2011 A1
20110004106 Iwamiya et al. Jan 2011 A1
20110082711 Poeze et al. Apr 2011 A1
20110085721 Guyon et al. Apr 2011 A1
20110105854 Kiani et al. May 2011 A1
20110105865 Yu et al. May 2011 A1
20110208015 Welch et al. Aug 2011 A1
20110213212 Al-Ali Sep 2011 A1
20110230733 Al-Ali Sep 2011 A1
20110237911 Lamego et al. Sep 2011 A1
20110245697 Miettinen Oct 2011 A1
20120059267 Lamego et al. Mar 2012 A1
20120150052 Buchheim et al. Jun 2012 A1
20120165629 Merritt et al. Jun 2012 A1
20120179006 Jansen et al. Jul 2012 A1
20120197093 LeBoeuf et al. Aug 2012 A1
20120197137 Jeanne et al. Aug 2012 A1
20120209084 Olsen et al. Aug 2012 A1
20120227739 Kiani Sep 2012 A1
20120283524 Kiani et al. Nov 2012 A1
20120296178 Lamego et al. Nov 2012 A1
20120319816 Al-Ali Dec 2012 A1
20120330112 Lamego et al. Dec 2012 A1
20130018233 Cinbis et al. Jan 2013 A1
20130023775 Lamego et al. Jan 2013 A1
20130041591 Lamego Feb 2013 A1
20130045685 Kiani Feb 2013 A1
20130046204 Lamego et al. Feb 2013 A1
20130060147 Welch et al. Mar 2013 A1
20130085346 Lin et al. Apr 2013 A1
20130096405 Garfio Apr 2013 A1
20130096936 Sampath et al. Apr 2013 A1
20130131474 Gu et al. May 2013 A1
20130190581 Al-Ali et al. Jul 2013 A1
20130197328 Diab et al. Aug 2013 A1
20130204112 White et al. Aug 2013 A1
20130211214 Olsen Aug 2013 A1
20130243021 Siskavich Sep 2013 A1
20130296672 O'Neil et al. Nov 2013 A1
20130324808 Al-Ali et al. Dec 2013 A1
20130331670 Kiani Dec 2013 A1
20130338461 Lamego et al. Dec 2013 A1
20140012100 Al-Ali et al. Jan 2014 A1
20140034353 Al-Ali et al. Feb 2014 A1
20140051953 Lamego et al. Feb 2014 A1
20140051955 Tiao et al. Feb 2014 A1
20140058230 Abdul-Hafiz et al. Feb 2014 A1
20140073887 Petersen et al. Mar 2014 A1
20140073960 Rodriguez-Llorente et al. Mar 2014 A1
20140077956 Sampath et al. Mar 2014 A1
20140081100 Muhsin et al. Mar 2014 A1
20140081175 Telfort Mar 2014 A1
20140094667 Schurman et al. Apr 2014 A1
20140100434 Diab et al. Apr 2014 A1
20140107493 Yuen et al. Apr 2014 A1
20140114199 Lamego et al. Apr 2014 A1
20140120564 Workman et al. May 2014 A1
20140121482 Merritt et al. May 2014 A1
20140121483 Kiani May 2014 A1
20140127137 Bellott et al. May 2014 A1
20140129702 Lamego et al. May 2014 A1
20140135588 Al-Ali et al. May 2014 A1
20140142401 Al-Ali et al. May 2014 A1
20140163344 Al-Ali Jun 2014 A1
20140163402 Lamego et al. Jun 2014 A1
20140166076 Kiani et al. Jun 2014 A1
20140171146 Ma et al. Jun 2014 A1
20140171763 Diab Jun 2014 A1
20140180154 Sierra et al. Jun 2014 A1
20140180160 Brown et al. Jun 2014 A1
20140187973 Brown et al. Jul 2014 A1
20140192177 Bartula et al. Jul 2014 A1
20140194709 Al-Ali et al. Jul 2014 A1
20140194711 Al-Ali Jul 2014 A1
20140194766 Al-Ali et al. Jul 2014 A1
20140206954 Yuen et al. Jul 2014 A1
20140206963 Al-Ali Jul 2014 A1
20140213864 Abdul-Hafiz et al. Jul 2014 A1
20140221854 Wai Aug 2014 A1
20140243627 Diab et al. Aug 2014 A1
20140266790 Al-Ali et al. Sep 2014 A1
20140275808 Poeze et al. Sep 2014 A1
20140275871 Lamego et al. Sep 2014 A1
20140275872 Merritt et al. Sep 2014 A1
20140275881 Lamego et al. Sep 2014 A1
20140276013 Muehlemann et al. Sep 2014 A1
20140276116 Takahashi et al. Sep 2014 A1
20140288400 Diab et al. Sep 2014 A1
20140296664 Bruinsma et al. Oct 2014 A1
20140303520 Telfort et al. Oct 2014 A1
20140316217 Purdon et al. Oct 2014 A1
20140316218 Purdon et al. Oct 2014 A1
20140316228 Blank et al. Oct 2014 A1
20140323825 Al-Ali et al. Oct 2014 A1
20140323897 Brown et al. Oct 2014 A1
20140323898 Purdon et al. Oct 2014 A1
20140330098 Merritt et al. Nov 2014 A1
20140330099 Al-Ali et al. Nov 2014 A1
20140333440 Kiani Nov 2014 A1
20140336481 Shakespeare et al. Nov 2014 A1
20140343436 Kiani Nov 2014 A1
20140357966 Al-Ali et al. Dec 2014 A1
20140361147 Fei Dec 2014 A1
20140378844 Fei Dec 2014 A1
20150005600 Blank et al. Jan 2015 A1
20150011907 Purdon et al. Jan 2015 A1
20150018650 Al-Ali et al. Jan 2015 A1
20150032029 Al-Ali et al. Jan 2015 A1
20150065889 Gandelman et al. Mar 2015 A1
20150073235 Kateraas et al. Mar 2015 A1
20150080754 Purdon et al. Mar 2015 A1
20150087936 Al-Ali et al. Mar 2015 A1
20150094546 Al-Ali Apr 2015 A1
20150099950 Al-Ali et al. Apr 2015 A1
20150101844 Al-Ali et al. Apr 2015 A1
20150106121 Muhsin et al. Apr 2015 A1
20150119725 Martin et al. Apr 2015 A1
20150173671 Paalasmaa et al. Jun 2015 A1
20150196249 Brown et al. Jul 2015 A1
20150216459 Al-Ali et al. Aug 2015 A1
20150255001 Haughav et al. Sep 2015 A1
20150257689 Al-Ali et al. Sep 2015 A1
20150281424 Vock et al. Oct 2015 A1
20150318100 Rothkopf et al. Nov 2015 A1
20150351697 Weber et al. Nov 2015 A1
20150351704 Kiani et al. Dec 2015 A1
20150366472 Kiani Dec 2015 A1
20150366507 Blank Dec 2015 A1
20150374298 Al-Ali et al. Dec 2015 A1
20150380875 Coverston et al. Dec 2015 A1
20160000362 Diab et al. Jan 2016 A1
20160007930 Weber et al. Jan 2016 A1
20160019360 Pahwa et al. Jan 2016 A1
20160022160 Pi et al. Jan 2016 A1
20160023245 Zadesky et al. Jan 2016 A1
20160029932 Al-Ali Feb 2016 A1
20160029933 Al-Ali et al. Feb 2016 A1
20160038045 Shapiro Feb 2016 A1
20160041531 Mackie et al. Feb 2016 A1
20160045118 Kiani Feb 2016 A1
20160051157 Waydo Feb 2016 A1
20160051158 Silva Feb 2016 A1
20160051205 Al-Ali et al. Feb 2016 A1
20160058302 Raghuram et al. Mar 2016 A1
20160058309 Han Mar 2016 A1
20160058310 Iijima Mar 2016 A1
20160058312 Han et al. Mar 2016 A1
20160058338 Schurman et al. Mar 2016 A1
20160058356 Raghuram et al. Mar 2016 A1
20160058370 Raghuram et al. Mar 2016 A1
20160066823 Al-Ali et al. Mar 2016 A1
20160066824 Al-Ali et al. Mar 2016 A1
20160066879 Telfort et al. Mar 2016 A1
20160071392 Hankey et al. Mar 2016 A1
20160072429 Kiani et al. Mar 2016 A1
20160073967 Lamego et al. Mar 2016 A1
20160106367 Jorov et al. Apr 2016 A1
20160113527 Al-Ali et al. Apr 2016 A1
20160143548 Al-Ali May 2016 A1
20160154950 Nakajima et al. Jun 2016 A1
20160157780 Rimminen et al. Jun 2016 A1
20160166210 Al-Ali Jun 2016 A1
20160192869 Kiani et al. Jul 2016 A1
20160196388 Lamego Jul 2016 A1
20160197436 Barker et al. Jul 2016 A1
20160213281 Eckerbom et al. Jul 2016 A1
20160213309 Sannholm et al. Jul 2016 A1
20160256058 Pham et al. Sep 2016 A1
20160256082 Ely et al. Sep 2016 A1
20160267238 Nag Sep 2016 A1
20160270735 Diab et al. Sep 2016 A1
20160283665 Sampath et al. Sep 2016 A1
20160287107 Szabados et al. Oct 2016 A1
20160287181 Han et al. Oct 2016 A1
20160287786 Kiani Oct 2016 A1
20160296173 Culbert Oct 2016 A1
20160296174 Isikman et al. Oct 2016 A1
20160310027 Han Oct 2016 A1
20160314260 Kiani Oct 2016 A1
20160327984 Al-Ali et al. Nov 2016 A1
20160367173 Dalvi et al. Dec 2016 A1
20160378069 Rothkopf Dec 2016 A1
20160378071 Rothkopf Dec 2016 A1
20170007183 Dusan et al. Jan 2017 A1
20170010858 Prest et al. Jan 2017 A1
20170014083 Diab et al. Jan 2017 A1
20170024748 Haider Jan 2017 A1
20170042488 Muhsin Feb 2017 A1
20170055896 Al-Ali et al. Mar 2017 A1
20170074897 Mermel et al. Mar 2017 A1
20170084133 Cardinali et al. Mar 2017 A1
20170086689 Shui et al. Mar 2017 A1
20170086742 Harrison-Noonan et al. Mar 2017 A1
20170086743 Bushnell et al. Mar 2017 A1
20170094450 Tu et al. Mar 2017 A1
20170143281 Olsen May 2017 A1
20170147774 Kiani May 2017 A1
20170164884 Culbert et al. Jun 2017 A1
20170172435 Presura Jun 2017 A1
20170172476 Schilthuizen Jun 2017 A1
20170173632 Al-Ali Jun 2017 A1
20170196464 Jansen et al. Jul 2017 A1
20170196470 Lamego et al. Jul 2017 A1
20170202505 Kirenko et al. Jul 2017 A1
20170209095 Wagner et al. Jul 2017 A1
20170228516 Sampath et al. Aug 2017 A1
20170245790 Al-Ali et al. Aug 2017 A1
20170248446 Gowreesunker et al. Aug 2017 A1
20170251974 Shreim et al. Sep 2017 A1
20170273619 Alvarado et al. Sep 2017 A1
20170281024 Narasimhan et al. Oct 2017 A1
20170293727 Klaassen et al. Oct 2017 A1
20170311891 Kiani et al. Nov 2017 A1
20170325698 Allec et al. Nov 2017 A1
20170325744 Allec et al. Nov 2017 A1
20170340209 Klaassen et al. Nov 2017 A1
20170340219 Sullivan et al. Nov 2017 A1
20170340293 Al-Ali et al. Nov 2017 A1
20170347885 Tan et al. Dec 2017 A1
20170354332 Lamego Dec 2017 A1
20170354795 Blahnik et al. Dec 2017 A1
20170358239 Arney et al. Dec 2017 A1
20170358240 Blahnik et al. Dec 2017 A1
20170358242 Thompson et al. Dec 2017 A1
20170360306 Narasimhan et al. Dec 2017 A1
20170366657 Thompson et al. Dec 2017 A1
20180008146 Al-Ali et al. Jan 2018 A1
20180014781 Clavelle et al. Jan 2018 A1
20180025287 Mathew et al. Jan 2018 A1
20180042556 Shahparnia et al. Feb 2018 A1
20180049694 Singh Alvarado et al. Feb 2018 A1
20180050235 Tan et al. Feb 2018 A1
20180055375 Martinez et al. Mar 2018 A1
20180055390 Kiani Mar 2018 A1
20180055439 Pham et al. Mar 2018 A1
20180056129 Narasimha Rao et al. Mar 2018 A1
20180064381 Shakespeare et al. Mar 2018 A1
20180070867 Smith et al. Mar 2018 A1
20180078151 Allec et al. Mar 2018 A1
20180078182 Chen et al. Mar 2018 A1
20180082767 Al-Ali et al. Mar 2018 A1
20180085068 Telfort Mar 2018 A1
20180087937 Al-Ali et al. Mar 2018 A1
20180103874 Lee et al. Apr 2018 A1
20180103905 Kiani Apr 2018 A1
20180110469 Maani et al. Apr 2018 A1
20180125368 Lamego et al. May 2018 A1
20180125430 Al-Ali et al. May 2018 A1
20180132769 Weber et al. May 2018 A1
20180146901 Al-Ali et al. May 2018 A1
20180146902 Kiani et al. May 2018 A1
20180153418 Sullivan et al. Jun 2018 A1
20180153442 Eckerbom et al. Jun 2018 A1
20180153446 Kiani Jun 2018 A1
20180153448 Weber et al. Jun 2018 A1
20180164853 Myers et al. Jun 2018 A1
20180168491 Al-Ali et al. Jun 2018 A1
20180184917 Kiani Jul 2018 A1
20180192924 Al-Ali Jul 2018 A1
20180192953 Shreim et al. Jul 2018 A1
20180196514 Allec et al. Jul 2018 A1
20180199871 Pauley et al. Jul 2018 A1
20180206795 Al-Ali Jul 2018 A1
20180206815 Telfort Jul 2018 A1
20180213583 Al-Ali Jul 2018 A1
20180214090 Al-Ali et al. Aug 2018 A1
20180216370 Ishiguro et al. Aug 2018 A1
20180218792 Muhsin et al. Aug 2018 A1
20180225960 Al-Ali et al. Aug 2018 A1
20180228414 Shao et al. Aug 2018 A1
20180238718 Dalvi Aug 2018 A1
20180238734 Hotelling et al. Aug 2018 A1
20180242853 Al-Ali Aug 2018 A1
20180242923 Al-Ali et al. Aug 2018 A1
20180242926 Muhsin et al. Aug 2018 A1
20180247353 Al-Ali et al. Aug 2018 A1
20180247712 Muhsin et al. Aug 2018 A1
20180256087 Al-Ali et al. Sep 2018 A1
20180279956 Waydo et al. Oct 2018 A1
20180285094 Housel et al. Oct 2018 A1
20180296161 Shreim et al. Oct 2018 A1
20180300919 Muhsin et al. Oct 2018 A1
20180310822 Indorf et al. Nov 2018 A1
20180310823 Al-Ali et al. Nov 2018 A1
20180317826 Muhsin Nov 2018 A1
20180317841 Novak, Jr. Nov 2018 A1
20180333055 Lamego et al. Nov 2018 A1
20180333087 Al-Ali Nov 2018 A1
20190000317 Muhsin et al. Jan 2019 A1
20190015023 Monfre Jan 2019 A1
20190029574 Schurman et al. Jan 2019 A1
20190029578 Al-Ali et al. Jan 2019 A1
20190058280 Al-Ali et al. Feb 2019 A1
20190069813 Al-Ali Mar 2019 A1
20190076028 Al-Ali et al. Mar 2019 A1
20190082979 Al-Ali et al. Mar 2019 A1
20190090760 Kinast et al. Mar 2019 A1
20190090764 Al-Ali Mar 2019 A1
20190117070 Muhsin et al. Apr 2019 A1
20190117139 Al-Ali et al. Apr 2019 A1
20190117141 Al-Ali Apr 2019 A1
20190117930 Al-Ali Apr 2019 A1
20190122763 Sampath et al. Apr 2019 A1
20190133525 Al-Ali et al. May 2019 A1
20190142283 Lamego et al. May 2019 A1
20190142344 Telfort et al. May 2019 A1
20190150856 Kiani et al. May 2019 A1
20190167161 Al-Ali et al. Jun 2019 A1
20190175019 Al-Ali et al. Jun 2019 A1
20190192076 McHale et al. Jun 2019 A1
20190200941 Chandran et al. Jul 2019 A1
20190201623 Kiani Jul 2019 A1
20190209025 Al-Ali Jul 2019 A1
20190214778 Scruggs et al. Jul 2019 A1
20190216319 Poeze et al. Jul 2019 A1
20190216379 Al-Ali et al. Jul 2019 A1
20190221966 Kiani et al. Jul 2019 A1
20190223804 Blank et al. Jul 2019 A1
20190231199 Al-Ali et al. Aug 2019 A1
20190231241 Al-Ali et al. Aug 2019 A1
20190231270 Abdul-Hafiz et al. Aug 2019 A1
20190239787 Pauley et al. Aug 2019 A1
20190239824 Muhsin et al. Aug 2019 A1
20190254578 Lamego Aug 2019 A1
20190261857 Al-Ali Aug 2019 A1
20190269370 Al-Ali et al. Sep 2019 A1
20190274627 Al-Ali et al. Sep 2019 A1
20190274635 Al-Ali et al. Sep 2019 A1
20190290136 Dalvi et al. Sep 2019 A1
20190298270 Al-Ali et al. Oct 2019 A1
20190304601 Sampath et al. Oct 2019 A1
20190304605 Al-Ali Oct 2019 A1
20190307377 Perea et al. Oct 2019 A1
20190320906 Olsen Oct 2019 A1
20190320959 Al-Ali Oct 2019 A1
20190320988 Ahmed et al. Oct 2019 A1
20190325722 Kiani et al. Oct 2019 A1
20190350506 Al-Ali Nov 2019 A1
20190357813 Poeze et al. Nov 2019 A1
20190357823 Reichgott et al. Nov 2019 A1
20190357824 Al-Ali Nov 2019 A1
20190358524 Kiani Nov 2019 A1
20190365294 Poeze et al. Dec 2019 A1
20190374139 Kiani et al. Dec 2019 A1
20190374173 Kiani et al. Dec 2019 A1
20190374713 Kiani et al. Dec 2019 A1
20190386908 Lamego et al. Dec 2019 A1
20190388039 Al-Ali Dec 2019 A1
20200000338 Lamego et al. Jan 2020 A1
20200000415 Barker et al. Jan 2020 A1
20200015716 Poeze et al. Jan 2020 A1
20200021930 Iswanto et al. Jan 2020 A1
20200037453 Triman et al. Jan 2020 A1
20200037891 Kiani et al. Feb 2020 A1
20200037966 Al-Ali Feb 2020 A1
20200046257 Eckerbom et al. Feb 2020 A1
20200054253 Al-Ali et al. Feb 2020 A1
20200060591 Diab et al. Feb 2020 A1
20200060628 Al-Ali et al. Feb 2020 A1
20200060629 Muhsin et al. Feb 2020 A1
20200060869 Telfort et al. Feb 2020 A1
20200074819 Muhsin et al. Mar 2020 A1
Foreign Referenced Citations (81)
Number Date Country
1270793 Oct 2000 CN
101564290 Oct 2009 CN
101484065 Nov 2011 CN
103906468 Jul 2014 CN
419223 Mar 1991 EP
0630208 Dec 1994 EP
0770349 May 1997 EP
0 781 527 Jul 1997 EP
0880936 Dec 1998 EP
0922432 Jun 1999 EP
0985373 Mar 2000 EP
1 518 494 Mar 2005 EP
1526805 May 2005 EP
1124609 Aug 2006 EP
1860989 Dec 2007 EP
1875213 Jan 2008 EP
1880666 Jan 2008 EP
2165196 Mar 2010 EP
2 277 440 Jan 2011 EP
2243691 Nov 1991 GB
05-325705 Dec 1993 JP
08-185864 Jul 1996 JP
H 09257508 Oct 1997 JP
H 10314133 Dec 1998 JP
H 1170086 Mar 1999 JP
2919326 Jul 1999 JP
H 11235320 Aug 1999 JP
2001-66990 Mar 2001 JP
2001-087250 Apr 2001 JP
2002-500908 Jan 2002 JP
2003-024276 Jan 2003 JP
2003-508104 Mar 2003 JP
2003-265444 Sep 2003 JP
2004329406 Nov 2004 JP
2005160641 Jun 2005 JP
2005270543 Oct 2005 JP
3741147 Feb 2006 JP
2006102164 Apr 2006 JP
2006-177837 Jul 2006 JP
2006-198321 Aug 2006 JP
3803351 Aug 2006 JP
2007-389463 Nov 2007 JP
2007319232 Dec 2007 JP
2008-099222 Apr 2008 JP
5756752 Jun 2015 JP
20070061122 Jun 2007 KR
100755079 Sep 2007 KR
20100091592 Aug 2010 KR
WO 199312712 Jul 1993 WO
WO 9423643 Oct 1994 WO
WO 1995000070 Jan 1995 WO
WO 199627325 Sep 1996 WO
WO 1997009923 Mar 1997 WO
WO 1999000053 Jan 1999 WO
WO 199901704 Jul 1999 WO
WO 1999063883 Dec 1999 WO
WO 200025112 May 2000 WO
WO 2000028892 May 2000 WO
WO 200109589 Feb 2001 WO
WO 2006060949 Jun 2006 WO
WO 2006079862 Aug 2006 WO
WO 2006090371 Aug 2006 WO
WO 2006113070 Oct 2006 WO
WO 2007004083 Jan 2007 WO
WO 2007017266 Feb 2007 WO
WO 2008107238 Sep 2008 WO
WO 2009001988 Dec 2008 WO
WO 2009137524 Nov 2009 WO
WO 2010003134 Jan 2010 WO
WO 2011069122 Jun 2011 WO
WO 2013030744 Mar 2013 WO
WO 2013106607 Jul 2013 WO
WO 2013181368 Dec 2013 WO
WO 2014115075 Jul 2014 WO
WO 2014149781 Sep 2014 WO
WO 2014153200 Sep 2014 WO
WO 2014158820 Oct 2014 WO
WO 2014178793 Nov 2014 WO
WO 2014184447 Nov 2014 WO
WO 2015187732 Dec 2015 WO
WO 2016066312 May 2016 WO
Non-Patent Literature Citations (129)
Entry
US 8,845,543 B2, 09/2014, Diab et al. (withdrawn)
U.S. Appl. No. 12/534,827, Multi-Stream Data Collection System for Noninvasive Measurement of Blood Constituents, filed Aug. 3, 2009.
U.S. Appl. No. 16/449,143, Multi-Stream Data Collection System for Noninvasive Measurement of Blood Constituents, filed Jun. 21, 2019.
U.S. Appl. No. 16/534,956, Multi-Stream Data Collection System for Noninvasive Measurement of Blood Constituents, filed Aug. 7, 2019.
U.S. Appl. No. 16/541,987, Multi-Stream Data Collection System for Noninvasive Measurement of Blood Constituents, filed Aug. 15, 2019.
U.S. Appl. No. 16/725,478, Multi-Stream Data Collection System for Noninvasive Measurement of Blood Constituents, filed Dec. 23, 2019.
U.S. Appl. No. 16/725,292, Multi-Stream Data Collection System for Noninvasive Measurement of Blood Constituents, filed Dec. 23, 2019.
U.S. Appl. No. 16/829,510, Multi-Stream Data Collection System for Noninvasive Measurement of Blood Constituents, filed Mar. 25, 2020.
U.S. Appl. No. 16/829,578, Multi-Stream Data Collection System for Noninvasive Measurement of Blood Constituents, filed Mar. 25, 2020.
U.S. Appl. No. 16/829,536, Multi-Stream Data Collection System for Noninvasive Measurement of Blood Constituents, filed Mar. 25, 2020.
U.S. Appl. No. 16/834,467, Multi-Stream Data Collection System for Noninvasive Measurement of Blood Constituents, filed Mar. 30, 2020.
U.S. Appl. No. 16/834,538, Multi-Stream Data Collection System for Noninvasive Measurement of Blood Constituents, filed Mar. 30, 2020.
U.S. Appl. No. 14/064,055, Multi-Stream Sensor for Noninvasive Measurement of Blood Constituents, filed Oct. 25, 2013.
U.S. Appl. No. 15/660,743, Noise Shielding for a Noninvasive Device, filed Jul. 26, 2017.
U.S. Appl. No. 16/805,605, Noise Shielding for a Noninvasive Device, filed Feb. 28, 2020.
U.S. Appl. No. 12/497,506, Heat Sink for Noninvasive Medical Sensor, filed Jul. 2, 2009.
U.S. Appl. No. 16/532,061, Physiological Measurement Devices, Systems, and Methods, filed Aug. 5, 2019.
U.S. Appl. No. 16/532,065, Physiological Measurement Devices, Systems, and Methods, filed Aug. 5, 2019.
U.S. Appl. No. 16/791,955, Physiological Measurement Devices, Systems, and Methods, filed Feb. 14, 2020.
U.S. Appl. No. 16/791,963, Physiological Measurement Devices, Systems, and Methods, filed Feb. 14, 2020.
U.S. Appl. No. 16/835,712, Physiological Measurement Devices, Systems, and Methods, filed Mar. 31, 2020.
U.S. Appl. No. 16/835,772, Physiological Measurement Devices, Systems, and Methods, filed Mar. 31, 2020.
PCT International Search Report, App. No. PCT/US2010/047899, Date of Actual Completion of Search: Jan. 26, 2011, 4 pages.
International Search Report and Written Opinion for PCT/US2009/049638, dated Jan. 7, 2010.
International Search Report issued in Application No. PCT/US2009/052756, dated Feb. 10, 2009 in 14 pages.
International Preliminary Report on Patentability and Written Opinion of the International Searching Authority issued in Application No. PCT US2009/049638, dated Jan. 5, 2011 in 9 pages.
International Preliminary Report on Patentability and Written Opinion of the International Searching Authority issued in Application No. PCT/US2009/052756, dated Feb. 8, 2011 in 8 pages.
International Preliminary Report on Patentability and Written Opinion for International Application No. PCT/US2016/040190, dated Jan. 2, 2018, in 7 pages.
Burritt, Mary F.; Current Analytical Approaches to Measuring Blood Analytes; vol. 36; No. 8(B); 1990.
Hall, et al., Jeffrey W.; Near-Infrared Spectrophotometry: A New Dimension in Clinical Chemistry; vol. 38; No. 9; 1992.
Kuenstner, et al., J. Todd; Measurement of Hemoglobin in Unlysed Blood by Near-Infrared Spectroscopy; vol. 48; No. 4, 1994.
Manzke, et al., B., Multi Wavelength Pulse Oximetry in the Measurement of Hemoglobin Fractions; SPIE, vol. 2676, Apr. 24, 1996.
Naumenko, E. K.; Choice of Wavelengths for Stable Determination of Concentrations of Hemoglobin Derivatives from Absorption Spectra of Erythrocytes; vol. 63; No. 1; pp. 60-66 Jan.-Feb. 1996; Original article submitted Nov. 3, 1994.
Schmitt, Joseph M.; Simple Photon Diffusion Anaylsis of the Effects of Multiple Scattering on Pulse Oximetry; Mar. 14, 1991; revised Aug. 30, 1991.
Schmitt, et al., Joseph M.; Measurement of Blood Hematocrit by Dual-Wavelength near-IR Photoplethysmography; vol. 1641; 1992.
Schnapp, et al., L.M.; Pulse Oximetry. Uses and Abuses.; Chest 1990; 98; 1244-1250 DOI 10.1378/Chest.98.5.1244.
http://www.masimo.com/rainbow/pronto.htm Noninvasive & Immediate Hemoglobin Testing, printed on Aug. 20, 2009.
http://www.masimo.com/pulseOximeter/Rad5.htm; Signal Extraction Pulse Oximeter, printed on Aug. 20, 2009.
http://blogderoliveira.blogspot.com/2008_02_01_archive.html; Ricardo Oliveira, printed on Aug. 20, 2009.
http://www.masimo.com/rad-57/; Noninvasive Measurement of Methemoglobin, Carboxyhemoglobin and Oxyhemoglobin in the blood. Printed on Aug. 20, 2009.
http://amivital.ugr.es/blog/?tag+spo2; Monitorizacion de la hemoglobina . . . y mucho mas, printed on Aug. 20, 2009.
http://www.masimo.com/spco/; Carboxyhemoglobin Noninvasive > Continuous > Immediate, printed on Aug. 20, 2009.
http://www.masimo.com/PARTNERS/WELCHALLYN.htm; Welch Allyn Expands Patient Monitor Capabilities with Masimo Pulse Oximetry Technology, printed on Aug. 20, 2009.
http://www.masimo.com/pulseOximeter/PPO.htm; Masimo Personal Pulse Oximeter, printed on Aug. 20, 2009.
http://www.masimo.com/generalFloor/system.htm; Masimo Patient SafetyNet System at a Glance, printed on Aug. 20, 2009.
http://www.masimo.com/partners/GRASEBY.htm; Graseby Medical Limited, printed on Aug. 20, 2009.
Japanese Office Action, re JP Application No. 2011-516895, dated Sep. 2, 2014, with translation.
Japanese Notice of Allowance, re JP Application No. 2011-516895, dated May 12, 2015, no translation.
European Office Action issued in application No. 10763901.5 dated Jan. 11, 2013.
European Office Action issued in application No. 10763901.5 dated Aug. 27, 2014.
European Office Action issued in application No. 10763901.5 dated Aug. 6, 2015.
European Office Action issued in Application No. 09791157.2, dated Jun. 20, 2016.
Kanukurthy et al., “Data Acquisition Unit for an Implantable Multi-Channel Optical Glucose Sensor”, Electro/Information Technology Conference, Chicago, IL, USA, May 17-20, 2007, pp. 1-6.
Konig et al., “Reflectance Pulse Oximetry—Principles and Obstetric Application in the Zurich System”, Journal of Clinical Monitoring and Computing, vol. 14, No. 6, Aug. 1998, pp. 403-412.
Smith, “The Pursuit of Noninvasive Glucose: ‘Hunting the Deceitful Turkey’”, 2006.
Small et al., “Data Handling Issues for Near-Infrared Glucose Measurements”, http://www.ieee.org/organizations/pubs/newsletters/leos/apr98/datahandling.htm, accessed Nov. 27, 2007.
D. C. Zheng and Y. T. Zhang, “A ring-type device for the noninvasive measurement of arterial blood pressure,” Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No. 03CH37439), Sep. 17-21, 2003, Cancun, pp. 3184-3187 vol. 4.
Sokwoo Rhee et al., “Artifact-Resistant Power-Efficient Design of Finger-Ring Plethysmographic Sensors,” IEEE Transactions on Biomedical Engineering, Jul. 2001, pp. 795-805, vol. 48, No. 7.
L. Xu et al., “An integrated wrist-worn routine monitoring system for the elderly using BSN,” 2008 5th International Summer School and Symposium on Medical Devices and Biosensors, Hong Kong, 2008, pp. 45-48.
J Kraitl et al., “An optical device to measure blood components by a photoplethysmographic method,” Journal of Optics A: Pure and Applied Optics. 7, 2005, pp. S318-S324.
K. Nakajima et al., “Monitoring of heart and respiratory rates by photoplethysmography using digital filtering technique,” Med. Eng. Phy. vol. 18, No. 5, pp. 365-372, 1996.
Russell Dresher, “Wearable Forehead Pulse Oximetry: Minimization of Motion and Pressure Artifacts,” May 3, 2006, 93 pages.
Sonnia Maria López Silva et al., “Near-infrared transmittance pulse oximetry with laser diodes,” Journal of Biomedical Optics vol. 8 No. 3, Jul. 2003, pp. 525-533.
Fabio Buttussi et al., “MOPET: A context-aware and user-adaptive wearable system for fitness training,” Artificial Intelligence in Medicine 42, 2008, pp. 153-163.
Stephen A. Mascaro et al., “Photoplethysmograph Fingernail Sensors for Measuring Finger Forces Without Haptic Obstruction,” IEEE Transactions on Robotics and Automation, vol. 17, No. 5, Oct. 2001, pp. 698-708.
Stephen A. Mascaro et al., “Measurement of Finger Posture and Three-Axis Fingertip Touch Force Using Fingernail Sensors,” IEEE International Conference on Robotics and Automation, 2002, pp. 1-11.
Akira Sakane et al., “Estimating Arterial Wall Impedance using a Plethysmogram,” IEEE 2003, pp. 580-585.
Nuria Oliver et al., “HealthGear: A Real-time Wearable System for Monitoring and Analyzing Physiological Signals,” Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks 2006 IEEE, pp. 1-4.
Yuan-Hsiang Lin et al., “A wireless PDA-based physiological monitoring system for patient transport,” IEEE Transactions on Information Technology in Biomedicine, vol. 8, No. 4, pp. 439-447, Dec. 2004.
R. Fensli et al., “A Wireless ECG System for Continuous Event Recording and Communication to a Clinical Alarm Station,” Conf Proc IEEE Eng Med Biol Soc, 2004, pp. 1-4.
E. Higurashi et al., “An integrated laser blood flowmeter,” Journal of Lightwave Technology, vol. 21, No. 3, pp. 591-595, Mar. 2003.
T. Kiyokura et al., “Wearable Laser Blood Flowmeter for Ubiquitous Healthcare Service,” 2007 IEEE/LEOS International Conference on Optical MEMS and Nanophotonics, Hualien, 2007, pp. 4-5.
Takumi Morita et al., “Integrated Blood Flowmeter Using Micromachining Technology,” Dec. 2004, pp. 77-80.
Eiji Higurashi et al., “Hybrid integration technologies for optical micro-systems”, Proc. SPIE 5604, Optomechatronic Micro/Nano Components, Devices, and Systems, Oct. 25, 2004, pp. 67-73.
L. Grajales et al., “Wearable multisensor heart rate monitor,” International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06), Cambridge, MA, 2006, pp. 4-157.
N. Townsend, “Pulse Oximetry,” Medical Electronics, 2001, pp. 32-42.
Nonin Medical, Inc., “Operator's Manual—Models 8600F0 and 8600F0M Pulse Oximeters,” 2005, 25 pages.
C. J. Pujary, “Investigation of Photodetector Optimization in Reducing Power Consumption by a Noninvasive Pulse Oximeter Sensor,” Worcester Polytechnic Institute, Jan. 16, 2004, 133 pages.
B. McGarry et al., “Reflections on a candidate design of the user-interface for a wireless vital-signs monitor,” Proceedings of DARE 2000 on Designing Augmented Reality Environments, Jan. 2000, pp. 33-40.
J. C. D. Conway et al., “Wearable computer as a multi-parametric monitor for physiological signals,” Proceedings IEEE International Symposium on Bio-Informatics and Biomedical Engineering, Arlington, VA, USA, 2000, pp. 236-242.
J. A. Tamada et al., “Noninvasive Glucose Monitoring: Comprehensive Clinical Results,” JAMA, Nov. 17, 1999, vol. 282, No. 19, pp. 1839-1844.
B.-H. Yang et al., “Development of the ring sensor for healthcare automation,” Robotics and Autonomous Systems, 2000, pp. 273-281.
Laukkanen RM et al., “Heart Rate Monitors: State of the Art,” Journal of Sports Science, Jan. 1998, pp. S3-S7.
S. Warren et al., “Designing Smart Health Care Technology into the Home of the Future,” Workshops on Future Medical Devices: Home Care Technologies for the 21st Century, Apr. 1999, 19 pages.
A. C. M. Dassel et al., “Reflectance Pulse Oximetry at the Forehead Improves by Pressure on the Probe,” Journal of Clinical Monitoring, vol. 11, No. 4, Jul. 1995, pp. 237-244.
B-H. Yang et al., “A Twenty-Four Hour Tele-Nursing System Using a Ringer Sensor,” Proceedings of 1998 IEEE International Conference on Robotics and Automation, May 16-20, 1998, 6 pages.
S. Rhee et al., “The Ring Sensor: a New Ambulatory Wearable Sensor for Twenty-Four Hour Patient Monitoring,” Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Oct. 29-Nov. 1, 1998, 4 pages.
S. Rhee et al., “Design of a Artifact-Free Wearable Plethysmographic Sensor,” 21st Annual International Conferemce IEEE Engineering in Medicine and Biology Society, Oct. 13-16, 1999, p. 786.
T. Martin et al., “Issues in Wearable Computing for Medical Montioring Applications: A Case Study of a Wearable ECG Monitoring Device,” In Proceedings of International Symposium of Wearable Computers (ISWC'00), Feb. 2000, pp. 43-49.
S. Rhee et al., “Artifact-Resistant, Power Efficient Design of Finger-Ring Plethysmographic Sensors, Part I: Design and Analysis,” 22nd Annual International Conference IEEE Engineering in Medicine and Biology Society, Jul. 23-28, 2000, pp. 2792-2795.
C. Pujary et al., “Photodetector Size Considerations in the Design of a Noninvasive Reflectance Pulse Oximeter for Telemedicine Applications,” Proceedings of IEEE Annual Northeast Bioengineering Conference, 2003, pp. 148-149.
M. Savage et al., “Optimizing Power Consumption in the Design of a Wearable Wireless Telesensor: Comparison of Pulse Oximeter Modes,” Proceedings of IEEE 29th Annual Nonheust Bioengineering Conference, 2003, pp. 150-151.
A. Tura et al., “A Wearable Device with Wireless Bluetooth-based Data Transmission,” Measurement Science Review, vol. 3, Sec. 2, 2003, pp. 1-4.
R. Paradiso, “Wearable Health Care System for Vital Signs Monitoring,” In Proceedings of IEEE International Conference on Information Technology Applications in Biomedicine, May 2003, pp. 283-286.
H.H. Asada et al., “Mobile Monitoring with Wearable Photoplethysmographic Biosensors,” IEEE Engineering in Medicine and Biology Magazine, May/Jun. 2003, pp. 28-40.
Y. Mendelson et al., “Minimization of LED Power Consumption in the Design of a Wearable Pulse Oximeter,” Proceedings of the IASTED International Conference Biomedical Engineering, Jun. 25-27, 2003, 6 pages.
Y. 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, Sep. 17-21, 2003, pp. 3016-3019.
D. Marculescu et al., “Ready to Ware,” IEEE Spectrum, vol. 40, Issue 10, Oct. 2003, pp. 28-32.
P. Celka et al., “Motion Resistant Earphone Located Infrared Based Hearth Rate Measurement Device,” In Proceeding of the 2nd International Conference on Biomedical Engineering, Innsbruck, Austria, Feb. 16-18, 2004, pp. 582-585.
D. Konstantas et al., “Mobile Patient Monitoring: The MobiHealth System,” In Proceedings of International Conference on Medical and Care Compunetics, NCC'04, Feb. 2004, 8 pages.
S. Pentland, “Healthwear: Medical Technology Becomes Wearable,” IEEE Computer Society, vol. 37, Issue 5, May 2004, pp. 34-41.
P. Branche et al., “Signal Quality and Power Consumption of a New Prototype Reflectance Pulse Oximeter Sensor,” Proceeding of the 31th Annual Northeast Bioengineering Conference, Hoboken, NJ, IEEE, 2005, pp. 1-2.
U. Anliker et al., “AMON: A Wearable Multiparameter Medical Monitoring and Alert System,” IEEE Transactions on Information Technology in Biomedicine, Jan. 2005, pp. 1-11.
P. T. Gibbs et al., “Active Motion Artifact Cancellation for Wearable Health Monitoring Sensors Using Collocated MEMS Accelerometers,” Proceedings of SPIE Smart Structures and Materials: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, May 17, 2005, pp. 811-819.
C. W. Mundt et al., “A Multiparameter Wearable Physiologic Monitoring System for Space and Terrestrial Applications,” IEEE Transactions on Information Technology in Biomedicine, vol. 9, No. 3, Sep. 2005, pp. 382-391.
Y. Mendelson et al., “A Wearable Reflectance Pulse Oximeter for Remote Physiological Monitoring,” Proceedings of the 28th IEEE EMBS Annual International Conference, Aug. 30-Sep. 3, 2006, pp. 912-915.
B-S. Lin et al., “RTWPMS: A Real-Time Wireless Physiological Monitoring System,” IEEE Transactions on Information Technology in Biomedicine, vol. 10, No. 4, Oct. 2006, pp. 647-656.
T. Torfs et al., “Body-Heat Powered Autonomous Pulse Oximeter,” IEEE Sensors 2006, EXCO, Oct. 22-25, 2006, pp. 427-430.
P.S. Pandian et al., “Smart Vest: Wearable Multi-Parameter Remote Physiological Monitoring System,” Medical Engineering & Physics 30, 2008. pp. 466-477.
G. Tamannagari, “Power Efficient Design of Finder-Ring Sensor for Patient Monitoring,” Master of Science in Electrical Engineering, The University of Texas at San Antonio, College of Engineering, Department of Electrical Engineering, Dec. 2008, 74 pages.
M. Yamashita et al., “Development of a Ring-Type Vital Sign Telemeter,” Biotelemetry XIII, Mar. 26-31, 1995, pp. 145-150.
P. Renevey et al., “Wrist-Located Pulse Detection Using IR Signals, Activity and Nonlinear Artifact Cancellation,” Proceedings of the 23rd Annual EMBS International Conference, Oct. 25-28, 2001, pp. 3030-3033.
Y. Mendelson et al., “A Mobile PDA-Based Wireless Pulse Oximeter,” Proceedings of the IASTED International Conference Telehealth, Jul. 19-21, 2005, pp. 1-6.
P. Shaltis et al., “Novel Design for a Wearable, Rapidly Depolyable, Wireless Noninvasive Triage Sensor,” Proceedings of the 2005 IEEE, Engineering in Medicine and Biology 27th Annual Conference, Sep. 1-4, 2005, pp. 3567-3570.
Y-S. Yan et al., An Efficient Motion-Resistant Method for Wearable Pulse Oximeter, IEEE Transactions on Information Technology in Biomedicine, vol. 12, No. 3, May 2008, pp. 399-405.
P. C. Branche et al., “Measurement Reproducibility and Sensor Placement Considerations in Designing a Wearable Pulse Oximeter for Military Applications,” IEEE, 2004, pp. 216-217.
G. Comtois, “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, Aug. 23-26, 2007, pp. 1528-1531.
G. Comtois et al., “A Noise Reference Input to an Adaptive Filter Algorithm for Signal Processing in a Wearable Pulse Oximeter,” IEEE, 2007, pp. 106-107.
R. P. Dresher et al., “A New Reflectance Pulse Oximeter Housing to Reduce Contact Pressure Effects,” IEEE, 2006, pp. 49-50.
R. P. Dresher et al., “Reflectance Forehead Pulse Oximetry: Effects on Contact Pressure During Walking,” Proceedings of the 28th IEEE EMBS Annual International Conference, Aug. 30-Sep. 3, 2006, pp. 3529-3532.
W. S. Johnston et al., “Extracting Breathing Rate Information from a Wearable Reflectance Pulse Oximeter Sensor,” Proceedings of the 26th Annual International Conference of the IEEE EMBS, Sep. 1-5, 2004, pp. 5388-5391.
W. Johnston et al., “Extracting Heart Rate Variability from a Wearable Reflectance Pulse Oximeter,” IEEE, 2005, pp. 1-2.
W. S. Johnston et al., “Investigation of Signal Processing Algorithms for an Embedded Microcontroller-Based Wearable Pulse Oximeter,” Proceedings of the 28th IEEE EMBS Annual International Conference, Aug. 30-Sep. 3, 2006, pp. 5888-5891.
P. Lukowicz et al., “AMON: A Wearable Medical Computer for High Risk Patient,” Proceedings of the 6th International Symposium on Wearable Computers (ISWC'02), 2002, pp. 1-2.
P. Lukowicz et al., “The WearARM Modular, Low-Power Computing Core,” IEEE Micro, May-Jun. 2001, pp. 16-28.
Y. Mendelson et al., “Accelerometery-Based Adaptive Noise Cancellation for Remote Physiological Monitoring by a Wearable Pulse Oximeter,” Proceedings of the 3rd IASTED International Conference Telehealth, May 31-Jun. 1, 2007, pp. 28-33.
Jan. 9, 2020 Complaint for (1) Patent Infringement (2) Trade Secret Misappropriation and (3) Ownership of Patents and Demand for Jury Trial, Masimo Corporation and Cercacor Laboratories, Inc. v. Apple Inc., Case No. 8:20-cv-00048, 64 pages.
Mar. 25, 2020 First Amended Complaint for (1) Patent Infringement (2) Trade Secret Misappropriation (3) Correction of Inventorship and (4) Ownership of Patents and Demand for Jury Trial, and including Exhibits 13-24 (Exhibits 1-12 and 25-31 comprise copies of publicly available U.S. patents and U.S. patent application publications, and are not included herein for ease of transmission), Masimo Corporation and Cercacor Laboratories, Inc. v. Apple Inc., Case No. 8:20-cv-00048, pp. 1-94, 983-1043 (total of 156 pages).
U.S. Appl. No. 16/871,874, Physiological Measurement Devices, Systems, and Methods, filed May 11, 2020.
Related Publications (1)
Number Date Country
20200229738 A1 Jul 2020 US
Provisional Applications (7)
Number Date Country
61086060 Aug 2008 US
61086108 Aug 2008 US
61086063 Aug 2008 US
61086057 Aug 2008 US
61091732 Aug 2008 US
61078228 Jul 2008 US
61078207 Jul 2008 US
Continuations (8)
Number Date Country
Parent 16725292 Dec 2019 US
Child 16834533 US
Parent 16534949 Aug 2019 US
Child 16725292 US
Parent 16409515 May 2019 US
Child 16534949 US
Parent 16261326 Jan 2019 US
Child 16409515 US
Parent 16212537 Dec 2018 US
Child 16261326 US
Parent 14981290 Dec 2015 US
Child 16212537 US
Parent 12829352 Jul 2010 US
Child 14981290 US
Parent 12534827 Aug 2009 US
Child 12829352 US
Continuation in Parts (6)
Number Date Country
Parent 12497528 Jul 2009 US
Child 12829352 US
Parent 29323408 Aug 2008 US
Child 12497528 US
Parent 29323409 Aug 2008 US
Child 29323408 US
Parent 12497523 Jul 2009 US
Child 12829352 US
Parent 29323408 Aug 2008 US
Child 12497523 US
Parent 29323409 Aug 2008 US
Child 29323408 US