Abstract: The invention provides amperometric analyte sensor systems comprising one or more electrodes designed to monitor in vivo levels of 3-hydroxybutyrate (and optionally glucose as well) in order to facilitate the management of diabetic ketoacidosis. The invention further includes compositions, elements and methods useful with such amperometric analyte sensor systems.

Abstract: A diagnostic Electrochemical Impedance Spectroscopy (EIS) procedure is applied to measure values of impedance-related parameters for one or more sensing electrodes. The parameters may include real impedance, imaginary impedance, impedance magnitude, and/or phase angle. The measured values of the impedance-related parameters are then used in performing sensor diagnostics, calculating a highly-reliable fused sensor glucose value based on signals from a plurality of redundant sensing electrodes, calibrating sensors, detecting interferents within close proximity of one or more sensing electrodes, and testing surface area characteristics of electroplated electrodes. Advantageously, impedance-related parameters can be defined that are substantially glucose-independent over specific ranges of frequencies. An Application Specific Integrated Circuit (ASIC) enables implementation of the EIS-based diagnostics, fusion algorithms, and other processes based on measurement of EIS-based parameters.

Abstract: The invention provides amperometric analyte sensor systems comprising one or more electrodes designed to monitor in vivo levels of 3-hydroxybutyrate (and optionally glucose as well) in order to facilitate the management of diabetic ketoacidosis. The invention further includes compositions, elements and methods useful with such amperometric analyte sensor systems.

Abstract: A diagnostic Electrochemical Impedance Spectroscopy (EIS) procedure is applied to measure values of impedance-related parameters for one or more sensing electrodes. The parameters may include real impedance, imaginary impedance, impedance magnitude, and/or phase angle. The measured values of the impedance-related parameters are then used in performing sensor diagnostics, calculating a highly-reliable fused sensor glucose value based on signals from a plurality of redundant sensing electrodes, calibrating sensors, detecting interferents within close proximity of one or more sensing electrodes, and testing surface area characteristics of electroplated electrodes. Advantageously, impedance-related parameters can be defined that are substantially glucose-independent over specific ranges of frequencies. An Application Specific Integrated Circuit (ASIC) enables implementation of the EIS-based diagnostics, fusion algorithms, and other processes based on measurement of EIS-based parameters.

Abstract: A continuous glucose monitoring system may utilize externally sourced information regarding the physiological state and ambient environment of its user for externally calibrating sensor glucose measurements. Externally sourced factory calibration information may be utilized, where the information is generated by comparing metrics obtained from the data used to generate the sensor's glucose sensing algorithm to similar data obtained from each batch of sensors to be used with the algorithm in the future. The output sensor glucose value of a glucose sensor may also be estimated by analytically optimizing input sensor signals to accurately correct for changes in sensitivity, run-in time, glucose current dips, and other variable sensor wear effects.

Abstract: A brain-computer interface system includes a video processor for producing a display signal, a temporal controller for producing a plurality of repetitive visual stimulus (RVS) signals with different respective temporal aspects, a display device that receives the display signal and displays a corresponding image on a plurality of different display regions and receives the RVS signals and displays corresponding RVS in respective ones of the display regions, an electroencephalographic (EEG) sensor for sensing a visually-evoked cortical potential (VECP) signal in a user with eyes fixated on a viewed one of the display regions, and a VECP processor for processing the VECP signal to identify the respective temporal aspect of the respective RVS of the viewed display region to estimate the eye fixation location. The RVS are generated independently of the display update/refresh rate and at sufficiently high frequencies to avoid flicker perceptible to the user.

Abstract: A method of processing raw poultry parts to produce a product continuing to qualify as a raw food product, including killing pathogens by increasing the core temperature to a regulatory-required temperature for a regulatory-required duration using mist heated to a temperature not denaturing or deforming the product skin in a manner resulting in a product continuing to have the appearance of a raw delicacy product. Included is an apparatus implementing said method, including a diagonally ascending heating track or chamber substantially filled with a screw auger conveying the poultry parts through the heating process, and a diagonally descending exit chute whereby the heat-processed parts exit the apparatus for final processing for packaging. Also included is a sub-system for recovering and re-using the misting liquids and other liquids exiting the parts, including filtration en route to a reservoir supplying the media for heating for misting the poultry parts.

Abstract: A brain-computer interface system includes a video processor for producing a display signal, a temporal controller for producing a plurality of repetitive visual stimulus (RVS) signals with different respective temporal aspects, a display device that receives the display signal and displays a corresponding image on a plurality of different display regions and receives the RVS signals and displays corresponding RVS in respective ones of the display regions, an electroencephalographic (EEG) sensor for sensing a visually-evoked cortical potential (VECP) signal in a user with eyes fixated on a viewed one of the display regions, and a VECP processor for processing the VECP signal to identify the respective temporal aspect of the respective RVS of the viewed display region to estimate the eye fixation location. The RVS are generated independently of the display update/refresh rate and at sufficiently high frequencies to avoid flicker perceptible to the user.

Abstract: A continuous glucose monitoring system may utilize externally sourced information regarding the physiological state and ambient environment of its user for externally calibrating sensor glucose measurements. Externally sourced factory calibration information may be utilized, where the information is generated by comparing metrics obtained from the data used to generate the sensor's glucose sensing algorithm to similar data obtained from each batch of sensors to be used with the algorithm in the future. The output sensor glucose value of a glucose sensor may also be estimated by analytically optimizing input sensor signals to accurately correct for changes in sensitivity, run-in time, glucose current dips, and other variable sensor wear effects.

Abstract: A brain-computer interface system includes a video processor for producing a display signal, a temporal controller for producing a plurality of repetitive visual stimulus (RVS) signals with different respective temporal aspects, a display device that receives the display signal and displays a corresponding image on a plurality of different display regions and receives the RVS signals and displays corresponding RVS in respective ones of the display regions, an electroencephalographic (EEG) sensor for sensing a visually-evoked cortical potential (VECP) signal in a user with eyes fixated on a viewed one of the display regions, and a VECP processor for processing the VECP signal to identify the respective temporal aspect of the respective RVS of the viewed display region to estimate the eye fixation location. The RVS are generated independently of the display update/refresh rate and at sufficiently high frequencies to avoid flicker perceptible to the user.

Abstract: A continuous glucose monitoring system may utilize externally sourced information regarding the physiological state and ambient environment of its user for externally calibrating sensor glucose measurements. Externally sourced factory calibration information may be utilized, where the information is generated by comparing metrics obtained from the data used to generate the sensor's glucose sensing algorithm to similar data obtained from each batch of sensors to be used with the algorithm in the future. The output sensor glucose value of a glucose sensor may also be estimated by analytically optimizing input sensor signals to accurately correct for changes in sensitivity, run-in time, glucose current dips, and other variable sensor wear effects.

Abstract: Electrochemical Impedance Spectroscopy (EIS) is used in conjunction with continuous glucose monitors and continuous glucose monitoring (CGM) to enable in-vivo sensor calibration, gross (sensor) failure analysis, and intelligent sensor diagnostics and fault detection. An equivalent circuit model is defined, and circuit elements are used to characterize sensor behavior.

Abstract: Electrochemical Impedance Spectroscopy (EIS) is used in conjunction with continuous glucose monitors and continuous glucose monitoring (CGM) to enable in-vivo sensor calibration, gross (sensor) failure analysis, and intelligent sensor diagnostics and fault detection. An equivalent circuit model is defined, and circuit elements are used to characterize sensor behavior.

Abstract: Embodiments of the invention provide multilayer analyte sensors having elements and/or architectures that function to improve oxygen delivery to sensor enzymes in manner that enhances sensor function, as well as methods for making and using such sensors. Typical embodiments of the invention include glucose sensors used in the management of diabetes.

Abstract: The invention provides amperometric analyte sensor systems comprising one or more electrodes designed to monitor in vivo levels of 3-hydroxybutyrate (and optionally glucose as well) in order to facilitate the management of diabetic ketoacidosis. The invention further includes compositions, elements and methods useful with such amperometric analyte sensor systems.

Abstract: A device for determining a glucose level of a patient includes a set of electrodes comprising a first working electrode, a second working electrode, a counter electrode, and a reference electrode. The reference electrode is electrically coupled to the counter electrode. The device further includes a memory and one or more processors implemented in circuitry and in communication with the memory. The one or more processors configured to determine a sensor signal based on current flowing between the first working electrode and the counter electrode and determine an open circuit potential (OCP) signal based on a voltage across the second working electrode and the reference electrode. The one or more processors are further configured to determine the glucose level of the patient based on the sensor signal and the OCP signal and output an indication of the glucose level.

Abstract: A removable cover to protect a connector between two conduits includes a single body having a wall surrounding an interior volume. The body has a neck sized to grip a portion of a first of the conduits. The body has a size-adjustable section to permit the body to be shortened or lengthened. The body has a casing section. The casing section protects a coupling connecting together the two conduits.

Abstract: Methods, devices, apparatuses and systems are disclosed for performing mammography, such as utilizing tomosynthesis in combination with breast biopsy.

Abstract: A continuous glucose monitoring system may utilize externally sourced information regarding the physiological state and ambient environment of its user for externally calibrating sensor glucose measurements. Externally sourced factory calibration information may be utilized, where the information is generated by comparing metrics obtained from the data used to generate the sensor's glucose sensing algorithm to similar data obtained from each batch of sensors to be used with the algorithm in the future. The output sensor glucose value of a glucose sensor may also be estimated by analytically optimizing input sensor signals to accurately correct for changes in sensitivity, run-in time, glucose current dips, and other variable sensor wear effects.

Abstract: A continuous glucose monitoring system may utilize externally sourced information regarding the physiological state and ambient environment of its user for externally calibrating sensor glucose measurements. Externally sourced factory calibration information may be utilized, where the information is generated by comparing metrics obtained from the data used to generate the sensor's glucose sensing algorithm to similar data obtained from each batch of sensors to be used with the algorithm in the future. The output sensor glucose value of a glucose sensor may also be estimated by analytically optimizing input sensor signals to accurately correct for changes in sensitivity, run-in time, glucose current dips, and other variable sensor wear effects.