Stephen J. Vanslyke

TL;DR: In this paper, a time-dependent algorithmic compensation function is applied to data output from a continuous analyte sensor to determine a time since sensor implantation and/or whether a newly initialized sensor has been used previously.

TL;DR: In this article, a method for determining the end-life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end- life status of the sensor and providing an output related to the end life status.

TL;DR: In this article, the authors present an analyte sensor system worn by a user to monitor and manage the battery life of a wireless sensor worn by the user in order to predict the remaining useful life of the battery based on the measured value and an assumed future usage.

TL;DR: In this paper, a priori calibration distribution information was used to calibrate at least one sensor data point from an analyte sensor, and the data point was converted to sensor data based on the a posteriori distribution information.

TL;DR: In this article, the authors present a system that provides smart alerts to users about diabetic states that are only provided when it makes sense to do so, e.g., when the system can predict or estimate that the user is not already cognitively aware of their current condition, e., particularly where the current condition is a diabetic state warranting attention.