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 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: 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 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: 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 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.

Abstract: Determining a patient's risk of hypothermia involves receiving a first input from a sleeve administered to a patient, receiving a second input, determine a first risk value based at least in part on the first input, determining a second risk value based at least in part on the second input, determining a first relative risk value of the first risk value based at least in part on comparing the first risk value to the second risk value, determining a second relative risk value of the second risk value based at least in part on comparing the first risk value to the second risk value, and performing a risk calculation to generate a risk score for the patient.

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 method of managing use of an insulin infusion device is presented here. The method identifies bolus calculator event data from glucose data for a user of the infusion device. The bolus calculator event data corresponds to use of a bolus calculator that calculates bolus dosage recommendations based on a user entered carbohydrate consumption value, a user entered current blood glucose value, a user specific carbohydrate ratio value, and a user specific insulin sensitivity value. The method filters the bolus calculator event data to remove glucose data associated with certain conditions, and analyzes the filtered data to detect an event occurrence that is indicative of potential maladjustment of the carbohydrate ratio value or the insulin sensitivity value. The method outputs a recommendation to adjust the carbohydrate ratio value or the insulin sensitivity value, based on characteristics of the detected event occurrence.

Abstract: Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device capable of delivering fluid to a user involves obtaining one or more uncalibrated measurements indicative of the physiological condition, obtaining one or more reference measurements of the physiological condition, determining a raw calibration factor based on a relationship between the one or more uncalibrated measurements and the one or more reference measurements corresponding to the respective uncalibrated measurements of the one or more uncalibrated measurements, and determining an adjusted calibration factor based at least in part on an expected calibration factor and the raw calibration factor, wherein operation of the infusion device to deliver the fluid is influenced by the adjusted calibration factor.

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: Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device capable of delivering fluid to a user involves determining one or more signal characteristics associated with a subset of the measurements corresponding to a monitoring period, determining a reliability metric for the monitoring period based on the one or more signal characteristics, and providing indication of a maintenance condition when the reliability metric violates a threshold.

Abstract: Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device involves obtaining a filtered measurement indicative of a physiological condition of a user, determining a metric indicative of a characteristic of the filtered measurement based at least in part on one or more derivative metrics associated with the filtered measurement, and determining an output measurement indicative of the physiological condition of the user based at least in part on the filtered measurement, the metric, and a previous output measurement.

Abstract: Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device involves obtaining a filtered measurement indicative of a physiological condition of a user, determining a metric indicative of a characteristic of the filtered measurement based at least in part on one or more derivative metrics associated with the filtered measurement, and determining an output measurement indicative of the physiological condition of the user based at least in part on the filtered measurement, the metric, and a previous output measurement.

Abstract: Subject matter disclosed herein relates to monitoring and/or controlling levels of an analyte in bodily fluid. In particular, estimation of a concentration of the analyte in a first physiological compartment based upon observations of a concentration of the analyte in a second physiological compartment may account for a latency in transporting the analyte between the first and second physiological compartments.

Abstract: Subject matter disclosed herein relates to monitoring and/or controlling levels of an analyte in bodily fluid. In particular, estimation of a concentration of the analyte in a first physiological compartment based upon observations of a concentration of the analyte in a second physiological compartment may account for a latency in transporting the analyte between the first and second physiological compartments.

Abstract: A system to monitor and transmit a plurality of signals based on a characteristic of a user is disclosed. The system comprises a sensor to produce the plurality of signals on a continuous basis, the signals being indicative of a glucose characteristic measured in the user when a portion of the sensor is placed in subcutaneous tissue. The system further includes a recorder including a recorder port to physically couple and interface with a sensor port of the sensor and a dock remotely located from the sensor and the recorder. The dock includes a dock receiver to physically couple and interface with the recorder port. The recorder can record the signals produced from the sensor when the recorder is coupled to the sensor and the recorder can transmit the stored signals to the dock when the recorder is removed from the sensor and coupled to the dock.

Abstract: Subject matter disclosed herein relates to monitoring and/or controlling levels of an analyte in bodily fluid. In particular, estimation of a concentration of the analyte in a first physiological compartment based upon observations of a concentration of the analyte in a second physiological compartment may account for a latency in transporting the analyte between the first and second physiological compartments.

Abstract: Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device capable of delivering fluid to a user involves obtaining one or more uncalibrated measurements indicative of the physiological condition, obtaining one or more reference measurements of the physiological condition, determining a raw calibration factor based on a relationship between the one or more uncalibrated measurements and the one or more reference measurements corresponding to the respective uncalibrated measurements of the one or more uncalibrated measurements, and determining an adjusted calibration factor based at least in part on an expected calibration factor and the raw calibration factor, wherein operation of the infusion device to deliver the fluid is influenced by the adjusted calibration factor.