Abstract: Methods, devices, and systems are provided for identifying dropouts in analyte monitoring system sensor data including segmenting sensor data into a plurality of time series wherein each time series is associated with a different instance of a repeating event, selecting a first time series to analyze for dropouts from the plurality of time series; comparing the selected first time series to a second time series among the plurality of time series, determining whether the selected first time series includes a portion that is more than a predefined threshold lower than a corresponding portion of the second time series, and displaying, on a computer system display, an indication that the selected first time series includes a dropout if the selected first time series includes a portion that is more than the predefined threshold lower than the corresponding portion of the second time series.

Abstract: Methods, devices, and systems are provided for correcting lag in measurements of analyte concentration level in interstitial fluid. The invention includes receiving a signal representative of sensor data from an analyte monitoring system related to an analyte level measured over time, computing rates of change of the sensor data for a time period of the sensor data, computing a rate distribution of the rates of change, transforming the rate distribution into a linear arrangement, determining a best-fit line for the transformed rate distribution, computing a slope of the best-fit line; and using the slope of the best-fit line as a representation of a variability of the analyte level to adjust an amount of lag correction applied to the sensor data. Numerous additional features are disclosed.

Abstract: Methods and devices to detect analyte in body fluid are provided. Embodiments include receiving one or more analyte sensor data, receiving a reference measurement value associated with an analyte level, determining a sensitivity parameter based on the received one or more analyte sensor data and the reference measurement value, performing a probability analysis based on prior analyte sensor data to determine presence of signal attenuation, and generating an output value based on the probability analysis.

Abstract: Methods and devices to monitor an analyte in body fluid are provided. Embodiments include continuous or discrete acquisition of analyte related data from a transcutaneously positioned in vivo analyte sensor automatically or upon request from a user.

Abstract: Method and apparatus for optimizing analyte sensor calibration including receiving a current blood glucose measurement, retrieving a time information for an upcoming scheduled calibration event for calibrating an analyte sensor, determining temporal proximity between the current blood glucose measurement and the retrieved time information for the upcoming calibration event, initiating a calibration routine to calibrate the analyte sensor when the determined temporal proximity is within a predetermined time period, and overriding the upcoming scheduled calibration event using the current blood glucose measurement are provided.

Abstract: Method, system and computer program product for providing real time detection of analyte sensor sensitivity decline is continuous glucose monitoring systems are provided.

Abstract: Methods and devices to detect analyte in body fluid are provided. Embodiments include positioning an analyte sensor in fluid contact with an analyte, detecting an attenuation in a signal from an analyte sensor after positioning during a predetermined time period, categorizing the detected attenuation in the analyte sensor signal based, at least in part, on one or more characteristics of the signal, performing signal processing to generate a reportable data associated with the detected analyte sensor signal during the predetermined time period, managing if and when to request additional reference signal measurements, and managing if and when to temporarily not display results.

Abstract: Methods, system and devices for providing improved calibration accuracy of continuous glucose monitoring system based on insulin delivery information are provided.

Abstract: Methods and devices to detect analyte in body fluid are provided. Embodiments include receiving one or more analyte sensor data, receiving a reference measurement value associated with an analyte level, determining a sensitivity parameter based on the received one or more analyte sensor data and the reference measurement value, performing a probability analysis based on prior analyte sensor data to determine presence of signal attenuation, and generating an output value based on the probability analysis.

Abstract: Method and apparatus for optimizing analyte sensor calibration including receiving a current blood glucose measurement, retrieving a time information for an upcoming scheduled calibration event for calibrating an analyte sensor, determining temporal proximity between the current blood glucose measurement and the retrieved time information for the upcoming calibration event, initiating a calibration routine to calibrate the analyte sensor when the determined temporal proximity is within a predetermined time period, and overriding the upcoming scheduled calibration event using the current blood glucose measurement are provided.

Abstract: Apparatus, method, system and kit for receiving a plurality of continuous analyte sensor values for corresponding reference analyte values, calculating a rate of change value for the continuous analyte sensor values, defining a plurality of data range windows of the reference analyte values, evaluating the corresponding continuous analyte sensor values, the rate of change values, the reference analyte values, and/or a plurality of corresponding difference values for the plurality of data range windows, and determining a best fit based on the evaluation of the plurality of data range windows are provided.

Abstract: Methods and devices to detect analyte in body fluid are provided. Embodiments include positioning an analyte sensor in fluid contact with an analyte, detecting an attenuation in a signal from an analyte sensor after positioning during a predetermined time period, categorizing the detected attenuation in the analyte sensor signal based, at least in part, on one or more characteristics of the signal, performing signal processing to generate a reportable data associated with the detected analyte sensor signal during the predetermined time period, managing if and when to request additional reference signal measurements, and managing if and when to temporarily not display results.

Abstract: Methods, system and devices for providing improved calibration accuracy of continuous glucose monitoring system based on insulin delivery information are provided.

Abstract: Methods of determining when to activate an analyte, e.g. glucose, related alarm, such as a hypoglycemia alarm, of a continuous analyte monitor is provided. Also provided are systems, devices and kits. Embodiments include methods for determining when to activate an analyte alarm of a continuous analyte monitor. The methods may include receiving information from the continuous analyte monitor related to the user's analyte concentration, wherein the information is received at a data processing component. The methods may also include receiving information that is input by the user, and the information is related to the user's analyte concentration.

Abstract: Methods, devices, systems, and computer program products are provided to improve sensitivity calibration of an in vivo analyte sensor and usability of an associated analyte monitoring system. In certain embodiments, methods are provided that improve the user experience of using an analyte monitoring system. Certain embodiments of the present disclosure include features that reduce the amount of calibration or re-calibration performed by the analyte monitoring system. More specifically methods of using a suspect calibration attempt to avoid having to recalibrate by adjusting the calibration or mitigating effects of sensor signal attenuation that caused the calibration attempt to be suspect are provided. Additional features are disclosed.

Abstract: Methods and devices to detect analyte in body fluid are provided. Embodiments include receiving one or more analyte sensor data, receiving a reference measurement value associated with an analyte level, determining a sensitivity parameter based on the received one or more analyte sensor data and the reference measurement value, performing a probability analysis based on prior analyte sensor data to determine presence of signal attenuation, and generating an output value based on the probability analysis.

Abstract: Methods, devices, and systems for calibrating an analyte sensor are provided. Embodiments include determining a sensitivity value associated with an analyte sensor, retrieving a prior sensitivity value associated with the analyte sensor, determining whether a variance between the determined sensitivity value and the retrieved prior sensitivity value is within a predetermined sensitivity range, determining a composite sensitivity value based on the determined sensitivity value and the retrieved prior sensitivity value, and assigning a successful calibration sensitivity value based on the retrieved prior sensitivity value when the variance is within the predetermined sensitivity range.

Abstract: Method and apparatus for providing calibration of analyte sensor including applying a control signal, detecting a measured response to the control signal, determining a variance in the detected measured response, and estimating a sensor sensitivity based on the variance in the detected measured response is provided

Abstract: Method and apparatus for providing calibration of analyte sensor including applying a control signal, detecting a measured response to the control signal, determining a variance in the detected measured response, and estimating a sensor sensitivity based on the variance in the detected measured response is provided

Abstract: Method and apparatus for providing calibration of analyte sensor including applying a control signal, detecting a measured response to the control signal, determining a variance in the detected measured response, and estimating a sensor sensitivity based on the variance in the detected measured response is provided