Abstract: Systems and methods for processing sensor data and end-of-life detection are provided. In some embodiments, a method for determining the end-of-life of a continuous analyte sensor includes receiving a sensor signal from an analyte sensor. A plurality of risk factors associated with end-of-life symptoms of analyte sensors is evaluated. The risk factors include a downward drift in sensor sensitivity over time, an amount of non-symmetrical, non-stationary noise and a duration of noise. An end-of-life status of the analyte sensor is determined based at least in part on the evaluating. An output related to the end-of-life status of the analyte sensor is provided.

Abstract: In accordance with a system and/or method for monitoring an analyte concentration, a sensor signal indicative of an analyte concentration in a host may be received from an analyte sensor. The sensor signal may be filtered using a Kalman filter having process noise with a process covariance and measurement noise with a measurement covariance. The filtering may include updating a value associated with at least one of the process covariance and the measurement covariance using a value associated with one or more parameters employed in a model of the Kalman filter. A filtered sensor signal representative of the analyte concentration in the host may be output from the Kalman filter.

Abstract: A method for providing clinical data representative of a concentration of a blood analyte in a patient includes receiving a signal from a continuous analyte sensor located within interstitial fluid of the patient and independently modeling two or more factors that influence the signal, the factors arising from individualized characteristics of the sensor and/or individualized physiological characteristics of the patient.

Abstract: Various examples are directed to systems and methods for generating an estimated analyte value. An analyte sensor system may access a first sensor signal from an in vivo analyte sensor and a first temperature signal from the ex vivo temperature sensor. The analyte sensor system may generate a first analyte sensor temperature based at least in part on the first temperature signal and generate a first estimated analyte value based at least in part on the first sensor signal and the first temperature-compensated sensitivity.

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.