Abstract: An optical physiological sensor configured to perform high speed spectral sweep analysis of sample tissue being measured to non-invasively predict an analyte level of a patient. An emitter of the optical physiological sensor can be regulated to operate at different temperatures to emit radiation at different wavelengths. Variation in emitter drive current, duty cycle, and forward voltage can also be used to cause the emitter to emit a range of wavelengths. Informative spectral data can be obtained during the sweeping of specific wavelength regions of sample tissue.

Abstract: An optical physiological sensor configured to perform high speed spectral sweep analysis of sample tissue being measured to non-invasively predict an analyte level of a patient. An emitter of the optical physiological sensor can be regulated to operate at different temperatures to emit radiation at different wavelengths. Variation in emitter drive current, duty cycle, and forward voltage can also be used to cause the emitter to emit a range of wavelengths. Informative spectral data can be obtained during the sweeping of specific wavelength regions of sample tissue.

Abstract: Systems and methods are disclosed for proximity sensing in physiological sensors, and more specifically to using one or more proximity sensors located on or within a physiological sensor to determine the positioning of the physiological sensor on a patient measurement site. Accurate placement of a physiological sensor on the patient measurement site is a key factor in obtaining reliable measurement of physiological parameters of the patient. Proper alignment between a measurement site and a sensor optical assembly provides more accurate physiological measurement data. This alignment can be determined based on data from a proximity sensor or sensors placed on or within the physiological sensor.

Abstract: Systems and methods are disclosed for proximity sensing in physiological sensors, and more specifically to using one or more proximity sensors located on or within a physiological sensor to determine the positioning of the physiological sensor on a patient measurement site. Accurate placement of a physiological sensor on the patient measurement site is a key factor in obtaining reliable measurement of physiological parameters of the patient. Proper alignment between a measurement site and a sensor optical assembly provides more accurate physiological measurement data. This alignment can be determined based on data from a proximity sensor or sensors placed on or within the physiological sensor.

Abstract: Systems and methods are disclosed for proximity sensing in physiological sensors, and more specifically to using one or more proximity sensors located on or within a physiological sensor to determine the positioning of the physiological sensor on a patient measurement site. Accurate placement of a physiological sensor on the patient measurement site is a key factor in obtaining reliable measurement of physiological parameters of the patient. Proper alignment between a measurement site and a sensor optical assembly provides more accurate physiological measurement data. This alignment can be determined based on data from a proximity sensor or sensors placed on or within the physiological sensor.

Abstract: Systems and methods are disclosed for proximity sensing in physiological sensors, and more specifically to using one or more proximity sensors located on or within a physiological sensor to determine the positioning of the physiological sensor on a patient measurement site. Accurate placement of a physiological sensor on the patient measurement site is a key factor in obtaining reliable measurement of physiological parameters of the patient. Proper alignment between a measurement site and a sensor optical assembly provides more accurate physiological measurement data. This alignment can be determined based on data from a proximity sensor or sensors placed on or within the physiological sensor.

Abstract: An optical physiological sensor configured to perform high speed spectral sweep analysis of sample tissue being measured to non-invasively predict an analyte level of a patient. An emitter of the optical physiological sensor can be regulated to operate at different temperatures to emit radiation at different wavelengths. Variation in emitter drive current, duty cycle, and forward voltage can also be used to cause the emitter to emit a range of wavelengths. Informative spectral data can be obtained during the sweeping of specific wavelength regions of sample tissue.

Abstract: Systems and methods are disclosed for proximity sensing in physiological sensors, and more specifically to using one or more proximity sensors located on or within a physiological sensor to determine the positioning of the physiological sensor on a patient measurement site. Accurate placement of a physiological sensor on the patient measurement site is a key factor in obtaining reliable measurement of physiological parameters of the patient. Proper alignment between a measurement site and a sensor optical assembly provides more accurate physiological measurement data. This alignment can be determined based on data from a proximity sensor or sensors placed on or within the physiological sensor.

Abstract: A finger-placement sensor tape aligns and removably secures a finger to a sensor pad of a reusable finger-clip optical sensor so as to assure the finger is repeatably aligned between the sensors emitters and detectors and that the finger stays aligned during a test procedure. The sensor tape has a double-sided tape layer having a silicon-based adhesive on a finger side and an acrylic adhesive on a sensor-side. An aperture is defined in the tape layer so as to allow emitters disposed in a top sensor pad to emit light through the tape layer to detectors disposed in a bottom sensor pad. A finger-side release layer is removably disposed over the silicon-based adhesive. A sensor-side release layer is removably disposed over the acrylic adhesive.

Abstract: The invention comprises method and apparatus for fluid delivery between a sample probe and a sample. The fluid delivery system includes: a fluid reservoir, a delivery channel, a manifold or plenum, a channel or moat, a groove, and/or a dendritic pathway to deliver a thin and distributed layer of a fluid to a sample probe head and/or to a sample site. The fluid delivery system reduces sampling errors due to mechanical tissue distortion, specular reflectance, probe placement, and/or mechanically induced sample site stress/strain associated with optical sampling of the sample.

Abstract: The invention relates generally to a probe interface method and apparatus for use in conjunction with an optical based noninvasive analyzer. More particularly, an algorithm controls a sample probe position and attitude relative to a skin sample site before and/or during sampling. For example, a sample probe head of a sample module is controlled by an algorithm along the normal-to-skin-axis. Preferably, the sample probe head is positioned in terms of 3-D location in the x-, y-, and z-axes and is attitude orientated in terms of pitch, yaw, and roll. Further, attitude of the probe head is preferably orientated prior to contact of the sample probe head with the tissue sample using indicators, such as non-contact distance feedback from capacitance sensor, contacting or non-contacting optical sensors, and/or contact electrical sensors.

Abstract: The invention comprises method and apparatus for fluid delivery between a sample probe and a sample. The fluid delivery system includes: a fluid reservoir, a delivery channel, a manifold or plenum, a channel or moat, a groove, and/or a dendritic pathway to deliver a thin and distributed layer of a fluid to a sample probe head and/or to a sample site. The fluid delivery system reduces sampling errors due to mechanical tissue distortion, specular reflectance, probe placement, and/or mechanically induced sample site stress/strain associated with optical sampling of the sample.

Abstract: Sampling is controlled in order to enhance analyte concentration estimation derived from noninvasive sampling. More particularly, sampling is controlled using controlled fluid delivery to a region between a tip of a sample probe and a tissue measurement site. The controlled fluid delivery enhances coverage of a skin sample site with the thin layer of fluid. Delivery of contact fluid is controlled in terms of spatial delivery, volume, thickness, distribution, temperature, and/or pressure.

Abstract: The invention involves the monitoring of a biological parameter through a compact analyzer. The preferred apparatus is a spectrometer based system that is attached continuously or semi-continuously to a human subject and collects spectral measurements that are used to determine a biological parameter in the sampled tissue. The preferred target analyte is glucose. The preferred analyzer is a near-IR based glucose analyzer for determining the glucose concentration in the body.

Abstract: The invention provides a targeting system used to direct a measuring system to a targeted sample site or volume. The targeting system increases analyte estimation performance by increasing precision and accuracy of sampling and/or by targeting an analyte rich tissue volume.

Abstract: This invention provides a method and apparatus that corrects for tissue related interference calibration and/or measurement of biological parameters noninvasively. The invention concerns such terms as outlier identification, filtering, spectral correction, and baseline subtraction steps that, when used together, provides for noninvasive measurement of biological parameters, such as glucose concentration.

Abstract: Sampling is controlled in order to enhance analyte concentration estimation derived from noninvasive sampling. More particularly, sampling is controlled using controlled fluid delivery to a region between a tip of a sample probe and a tissue measurement site. The controlled fluid delivery enhances coverage of a skin sample site with the thin layer of fluid. Delivery of contact fluid is controlled in terms of spatial delivery, volume, thickness, distribution, temperature, and/or pressure.

Abstract: An optical sampling interface system is disclosed that minimizes and compensates for errors that result from sampling variations and measurement site state fluctuations. Embodiments of the invention use a guide that does at least one of, induce the formation of a tissue meniscus, minimize interference due to surface irregularities, control variation in the volume of tissue sampled, use a two-part guide system, use a guide that controls rotation of a sample probe and allows z-axis movement of the probe, use a separate base module and sample module in conjunction with a guide, and use a guide that controls rotation. Optional components include an occlusive element and a coupling fluid.

Abstract: The invention comprises method and apparatus for fluid delivery between a sample probe and a sample. The fluid delivery system includes: a fluid reservoir, a delivery channel, a manifold or plenum, a channel or moat, a groove, and/or a dendritic pathway to deliver a thin and distributed layer of a fluid to a sample probe head and/or to a sample site. The fluid delivery system reduces sampling errors due to mechanical tissue distortion, specular reflectance, probe placement, and/or mechanically induced sample site stress/strain associated with optical sampling of the sample.

Abstract: A method of multi-tier classification and calibration in noninvasive blood analyte prediction minimizes prediction error by limiting co-varying spectral interferents. Tissue samples are categorized based on subject demographic and instrumental skin measurements, including in vivo near-IR spectral measurements. A multi-tier intelligent pattern classification sequence organizes spectral data into clusters having a high degree of internal consistency in tissue properties. In each tier, categories are successively refined using subject demographics, spectral measurement information and other device measurements suitable for developing tissue classifications. The multi-tier classification approach to calibration utilizes multivariate statistical arguments and multi-tiered classification using spectral features.