Abstract: Various examples described herein are directed to systems and methods of detecting damage to an analyte sensor using analyte sensor impedance values. In some examples, a method of assessing sensor membrane integrity using sensor electronics comprises determining an impedance parameter of an analyte sensor and determining a membrane integrity state of the analyte sensor based on the impedance parameter.

Abstract: A display device configured to receive raw values, calculate smoothed values, and display the smoothed values only if the smoothed values satisfy a consistency check. In some embodiments, the consistency check may be satisfied if none of the smoothed values (i) corresponds to a raw value that triggered a first or second alarm and (ii) would not also trigger the first or second alarm. In some embodiments, if the smoothed values do not satisfy the consistency check, the display device may re-calculate the smoothed values such that the consistency check is satisfied. The display device may display the smoothed values in place of corresponding raw values in a historical trend graph.

Abstract: Systems, methods, and apparatuses for reducing error between calculated analyte levels and impractical analyte measurements using practical analyte measurements as reference measurements for calibration. Reducing the error may include converting a practical reference analyte measurement into an estimated impractical analyte level, updating a conversion function using the estimated impractical analyte level, and using the updated conversion function to calculate an analyte level. In some embodiments, the practical reference analyte measurement may be a capillary blood analyte measurement, and the estimated impractical analyte level may be an estimated venous blood analyte level. In some embodiments, the updated conversion function may minimize the error between analyte levels calculated using the updated conversion function and estimated venous blood analyte levels.

Abstract: A display device configured to receive raw values, calculate smoothed values, and display the smoothed values only if the smoothed values satisfy a consistency check. In some embodiments, the consistency check may be satisfied if none of the smoothed values (i) corresponds to a raw value that triggered a first or second alarm and (ii) would not also trigger the first or second alarm. In some embodiments, if the smoothed values do not satisfy the consistency check, the display device may re-calculate the smoothed values such that the consistency check is satisfied. The display device may display the smoothed values in place of corresponding raw values in a historical trend graph.

Abstract: This document discusses, among other things, systems and methods to compensate for the effects of temperature on sensors, such as analyte sensor. An example method may include determining a temperature-compensated glucose concentration level by receiving a temperature signal indicative of a temperature parameter of an external component, receiving a glucose signal indicative of an in vivo glucose concentration level, and determining a compensated glucose concentration level based on the glucose signal, the temperature signal, and a delay parameter.

Abstract: This document discusses, among other things, systems and methods to compensate for the effects of temperature on sensors, such as analyte sensor. An example method may include determining a temperature-compensated glucose concentration level by receiving a temperature signal indicative of a temperature parameter of an external component, receiving a glucose signal indicative of an in vivo glucose concentration level, and determining a compensated glucose concentration level based on the glucose signal, the temperature signal, and a delay parameter.

Abstract: This document discusses, among other things, systems and methods to compensate for the effects of temperature on sensors, such as analyte sensor. An example method may include determining a temperature-compensated glucose concentration level by receiving a temperature signal indicative of a temperature parameter of an external component, receiving a glucose signal indicative of an in vivo glucose concentration level, and determining a compensated glucose concentration level based on the glucose signal, the temperature signal, and a delay parameter.

Abstract: Systems, methods, and apparatuses for reducing error between calculated analyte levels and impractical analyte measurements using practical analyte measurements as reference measurements for calibration. Reducing the error may include converting a practical reference analyte measurement into an estimated impractical analyte level, updating a conversion function using the estimated impractical analyte level, and using the updated conversion function to calculate an analyte level. In some aspects, the practical reference analyte measurement may be a capillary blood analyte measurement, and the estimated impractical analyte level may be an estimated venous blood analyte level. In some aspects, the updated conversion function may minimize the error between analyte levels calculated using the updated conversion function and estimated venous blood analyte levels.

Abstract: This document discusses, among other things, systems and methods to compensate for the effects of temperature on sensors, such as analyte sensor. An example method may include determining a temperature-compensated glucose concentration level by receiving a temperature signal indicative of a temperature parameter of an external component, receiving a glucose signal indicative of an in vivo glucose concentration level, and determining a compensated glucose concentration level based on the glucose signal, the temperature signal, and a delay parameter.

Abstract: This document discusses, among other things, systems and methods to compensate for the effects of temperature on sensors, such as analyte sensor. An example method may include determining a temperature-compensated glucose concentration level by receiving a temperature signal indicative of a temperature parameter of an external component, receiving a glucose signal indicative of an in vivo glucose concentration level, and determining a compensated glucose concentration level based on the glucose signal, the temperature signal, and a delay parameter.

Abstract: Various examples are directed to systems and methods for generating a bolus dose for a host. A bolus application may display a first bolus configuration parameter question at a user interface and receive, through the user interface, a first answer to the first bolus configuration parameter question. The first answer may describe a previous bolus determination technique of the host. The bolus application may select a second bolus configuration parameter question using the first answer and provide the second bolus configuration parameter question at the user interface. The bolus application may determine a set of at least one bolus configuration parameter using the first answer and a second answer to the second bolus configuration parameter question.

Abstract: A display device configured to receive raw values, calculate smoothed values, and display the smoothed values only if the smoothed values satisfy a consistency check. In some embodiments, the consistency check may be satisfied if none of the smoothed values (i) corresponds to a raw value that triggered a first or second alarm and (ii) would not also trigger the first or second alarm. In some embodiments, if the smoothed values do not satisfy the consistency check, the display device may re-calculate the smoothed values such that the consistency check is satisfied. The display device may display the smoothed values in place of corresponding raw values in a historical trend graph.

Abstract: Systems, methods, and apparatuses for reducing error between calculated analyte levels and impractical analyte measurements using practical analyte measurements as reference measurements for calibration. Reducing the error may include converting a practical reference analyte measurement into an estimated impractical analyte level, updating a conversion function using the estimated impractical analyte level, and using the updated conversion function to calculate an analyte level. In some embodiments, the practical reference analyte measurement may be a capillary blood analyte measurement, and the estimated impractical analyte level may be an estimated venous blood analyte level. In some embodiments, the updated conversion function may minimize the error between analyte levels calculated using the updated conversion function and estimated venous blood analyte levels.

Abstract: Various examples are directed to systems and methods of and using analyte sensors. An example analyte sensor system comprises an analyte sensor and a hardware device in communication with the analyte sensor. The hardware device may be configured to perform operations comprising applying a first bias voltage to the analyte sensor, the first bias voltage less than an operational bias voltage of the analyte sensor, measuring a first current at the analyte sensor when the first bias voltage is applied, and applying a second bias voltage to the analyte sensor. The operations may further comprise measuring a second current at the analyte sensor when the second bias voltage is applied, detecting a plateau bias voltage using the first current and the second current, determining that the plateau bias voltage is less than a plateau bias voltage threshold, and executing a responsive action at the analyte sensor.

Abstract: Various examples described herein are directed to systems and methods of detecting damage to an analyte sensor using analyte sensor impedance values. In some examples, a method of assessing sensor membrane integrity using sensor electronics comprises determining an impedance parameter of an analyte sensor and determining a membrane integrity state of the analyte sensor based on the impedance parameter.

Abstract: Methods and modules for using physiological (biometric) variables to advance the state of the artificial pancreas. The method and system includes one or more modules for recursive model identification, hypoglycemia early alert and alarm, adaptive control, hyperglycemia early alert and alarm, plasma insulin concentration estimation, assessment of physical activity (e.g., presence, type, duration, expected effects on insulin sensitivity and GC), detection of acute stress and assessment of its impact on insulin sensitivity, detection of sleep and its stages and assessment of sleep stages on GC, sensor fault detection and diagnosis, software and controller performance evaluation and adjustment and/or pump fault detection and diagnosis.

Abstract: An analyte monitoring system may include an analyte sensor and a transceiver. The analyte sensor may include one or more sensors and a transceiver interface. The one or more sensors may be configured to generate sensor measurements indicative of an analyte level in a first medium. The sensors may include a temperature transducer configured to generate a sensor temperature measurement, and the sensor measurements may include the sensor temperature measurement. The transceiver interface may be configured to convey the sensor measurements. The transceiver may include a sensor interface and a processor. The sensor interface may be configured to receive the sensor measurements conveyed by the analyte sensor. The processor may be configured to adjust the sensor temperature measurement and calculate an analyte level in a second medium using at least the adjusted sensor temperature measurement and one or more of the sensor measurements.

Abstract: This document discusses, among other things, systems and methods to compensate for the effects of temperature on sensors, such as analyte sensor. An example method may include determining a temperature-compensated glucose concentration level by receiving a temperature signal indicative of a temperature parameter of an external component, receiving a glucose signal indicative of an in vivo glucose concentration level, and determining a compensated glucose concentration level based on the glucose signal, the temperature signal, and a delay parameter.

Abstract: This document discusses, among other things, systems and methods to compensate for the effects of temperature on sensors, such as analyte sensor. An example method may include determining a temperature-compensated glucose concentration level by receiving a temperature signal indicative of a temperature parameter of an external component, receiving a glucose signal indicative of an in vivo glucose concentration level, and determining a compensated glucose concentration level based on the glucose signal, the temperature signal, and a delay parameter.

Abstract: This document discusses, among other things, systems and methods to compensate for the effects of temperature on sensors, such as analyte sensor. An example method may include determining a temperature-compensated glucose concentration level by receiving a temperature signal indicative of a temperature parameter of an external component, receiving a glucose signal indicative of an in vivo glucose concentration level, and determining a compensated glucose concentration level based on the glucose signal, the temperature signal, and a delay parameter.