Abstract: Electrochemical impedance spectroscopy (EIS) may be used in conjunction with continuous glucose monitoring (CGM) to enable identification of valid and reliable sensor data, as well implementation of Smart Calibration algorithms.

Abstract: A system to automatically detect at least one physiological state is disclosed. The system includes a single probe for insertion within a subject that has an analyte sensor array for continuous monitoring of at least glucose and a second analyte. The system further includes an electronics module that includes a power supply, a processor, memory and a bi-directional communications module. When the electronics module is coupled with the analyte sensor array the power supply delivers power to the analyte sensor array and the processor. The processor analyzing glucose and the second analyte data to detect a first physiological state from a plurality of physiological states.

Abstract: In one embodiment, a sensor is disclosed that includes a first conductive substrate coupled to, and electrically isolated from, a second conductive substrate. The sensor includes a first electrode trace within the first conductive substrate with a plurality of first working electrode openings. The sensor also includes a second electrode trace within the first conductive substrate with a plurality of second working electrode openings. Additionally a first transport material is included that covers the plurality of first working electrode openings and a second transport material that covers the plurality of second working electrode openings. A third transport material covers, and forms a barrier between the first and the second transport material. The sensor additionally includes a counter-reference electrode that is formed on the second conductive substrate.

Abstract: A method for retrospective calibration of a glucose sensor uses stored values of measured working electrode current (Isig) to calculate a final sensor glucose (SG) value retrospectively. The Isig values may be preprocessed, discrete wavelet decomposition applied. At least one machine learning model, such as, e.g., Genetic Programing (GP) and Regression Decision Tree (DT), may be used to calculate SG values based on the Isig values and the discrete wavelet decomposition. Other inputs may include, e.g., counter electrode voltage (Vcntr) and Electrochemical Impedance Spectroscopy (EIS) data. A plurality of machine learning models may be used to generate respective SG values, which are then fused to generate a fused SG. Fused SG values may be filtered to smooth the data, and blanked if necessary.

Abstract: A temperature-management device comprises a wearable sleeve including a foot portion configured to cover at least a portion of a sole of a foot of a patient, a calf portion configured to cover at least a portion of a calf of the patient, the calf portion having one or more compression bladders associated therewith, and a popliteal fossa portion configured to cover at least a portion of a popliteal fossa of the patient. The temperature-management device further comprises a heater assembly configured to be secured to the wearable sleeve, the heater assembly including a foot heating pad, a popliteal fossa heating pad, and a physical connector extending between the foot heating pad and the popliteal fossa heating pad.

Abstract: An electrode measuring the presence of an analyte is described as one embodiment. The electrode includes a working conductor with an electrode reactive surface and a first reactive chemistry that is responsive to the analyte. The electrode further includes a first transport material that enables flux of the first analyte to the first reactive chemistry and a second transport material that supplies a reactant to the first reactive chemistry. Wherein the first reactive chemistry does not contact the electrode reactive surface while at least partially shadowing a portion of the electrode reactive surface.

Abstract: Systems for maintaining normothermia in a patient via compression and warming are disclosed and include a first warming element configured to apply warming to the popliteal fossa, a second warming element configured to apply warming to the sole of the foot, and a compression element configured to apply compression to the calf.

Abstract: A biosensor assembly that measures multiple physical parameters is disclosed. The biosensor assembly includes a first implantable probe and a first skin contacting electrode. Wherein a first physiological parameter is measured between the first implantable probe and the first skin contactable electrode.

Abstract: A heating system comprises a wearable sleeve, a first heating pad associated with a first portion of the wearable sleeve, a second heating pad associated with a second portion of the wearable sleeve, one or more temperature sensors associated with the wearable sleeve, and control circuitry communicatively coupled to the first heating pad, the second heating pad, and the one or more temperature sensors. The control circuitry is configured to receive one or more temperature signals from the one or more temperature sensors, determine a temperature associated with a patient based on the one or more temperature signals, determine that the temperature is less than a target temperature value, and at least partly in response to said determining that the temperature is less than the target temperature value, activate at least one of the first heating pad or the second heating pad.

Abstract: Electrochemical impedance spectroscopy (EIS) may be used in conjunction with continuous glucose monitoring (CGM) to enable identification of valid and reliable sensor data, as well implementation of Smart Calibration algorithms.

Abstract: A biosensor assembly that measures multiple physical parameters is disclosed. The biosensor assembly includes a first implantable probe and a first skin contacting electrode. Wherein a first physiological parameter is measured between the first implantable probe and the first skin contactable electrode.

Abstract: Electrochemical impedance spectroscopy (EIS) may be used in conjunction with continuous glucose monitoring (CGM) to enable identification of valid and reliable sensor data, as well implementation of Smart Calibration algorithms.

Abstract: Disclosed herein are techniques related to adaptive signal processing. The techniques may involve: obtaining a plurality of unfiltered measurement values based on signals generated by a sensor; determining a plurality of filtered measurement values based on the plurality of unfiltered measurement values; determining, based on the plurality of filtered measurements, a first derivative metric for a current filtered measurement of the plurality of filtered measurements and a second derivative metric for the current filtered measurement; determining an output filtered measurement indicative of a physiological condition of a user based at least in part on the current filtered measurement, the first derivative metric, the second derivative metric, and a previous output measurement; and outputting the output filtered measurement.

Abstract: A working electrode measuring the presence of an analyte is described as one embodiment. The working electrode includes a working conductor with a reactive surface that is operated at a first potential. The working electrode further includes a first transport material with properties that enable analyte flux to the reactive surface. Additionally, the working electrode has a second transport material with properties that enable reactant flux to the reactive surface, wherein the analyte flux and the reactant flux are in dissimilar directions.

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 system to automatically detect at least one physiological state is disclosed. The system includes a single probe for insertion within a subject that has an analyte sensor array for continuous monitoring of at least glucose and a second analyte. The system further includes an electronics module that includes a power supply, a processor, memory and a bi-directional communications module. When the electronics module is coupled with the analyte sensor array the power supply delivers power to the analyte sensor array and the processor. The processor analyzing glucose and the second analyte data to detect a first physiological state from a plurality of physiological states.

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: An apparatus for early detection of sepsis in a host is disclosed. The apparatus includes a first sensor to directly measure a glucose level, a second sensor to directly measure a lactate level and a third sensor to directly measure a tissue oxygen level. The first sensor, the second sensor, and the third sensor all being inserted at a single point of entry in a subcutaneous space of the host such that a predetermined correlation between the glucose level, lactate level, and tissue oxygen level signals conditions related to sepsis.

Abstract: The invention disclosed herein includes sensors having three dimensional configurations that allow expansive “360°” sensing (i.e. sensing analyte from multiple directions) in the environments in which such sensors are disposed. Embodiments of the invention provide analyte sensors having foldable substrates adapted to produce optimized configurations of electrode elements 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: A physiological characteristic sensor, a method for forming a physiological characteristic sensor, and a method for forming a platinum deposit having a rough surface are presented here. The method for forming a physiological characteristic sensor includes immersing a sensor electrode in a platinum electrolytic bath. Further, the method includes performing an electrodeposition process by sequentially applying a pulsed signal to the sensor electrode, wherein the pulsed signal includes a repeated cycle of a first current and a second current different from the first current, and applying a non-pulsed continuous signal to the sensor electrode, wherein the non-pulsed continuous signal includes a non-repeated application of a third current, to form a platinum deposit on the sensor electrode.