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: 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: 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: Systems, methods and apparatus are provided for determining an estimate of an analyte level over time. The invention includes sampling sensor data using an analyte sensor positioned at least partially subcutaneously; storing a plurality of datasets of sensor data, each at a different rate; determining an estimated analyte level based on the datasets; and outputting the estimated analyte level to a display. Numerous additional aspects are disclosed.

Abstract: Methods and apparatus for analyte level estimation are provided for filtering measurement data. In an embodiment, a present predicted analyte level estimate is determined. A present corrected analyte level estimate is determined based at least in part on the determined present predicted analyte level estimate and a received present monitored analyte measurement data. One or more of the medication infusion rate or the received present monitored analyte measurement data are filtered using a rate variance filter, wherein when the medication infusion rate exceeds a predetermined threshold level, the rate variance filter is adjusted from a predetermined setting to a modified setting to be responsive to changes in the present monitored analyte measurement data after a predetermined time period lapses.

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: Systems, methods and apparatus are provided for determining an estimate of an analyte level over time. The invention includes sampling sensor data using an analyte sensor positioned at least partially subcutaneously; storing a plurality of datasets of sensor data, each at a different rate; determining an estimated analyte level based on the datasets; and outputting the estimated analyte level to a display. Numerous additional aspects are disclosed.

Abstract: In particular embodiments, methods, devices and systems including calibrating analyte data associated with a monitored analyte level received from an analyte sensor based on a reference measurement, determining a lag time constant associated with the calibrated analyte data, and performing lag correction of the calibrated analyte data based on the determined time lag constant are disclosed.

Abstract: The present disclosure provides methods of processing data provided by a transcutaneous or subcutaneous analyte sensor utilizing different algorithms to strike a balance between signal responsiveness accompanied by signal noise and the introduction of error associated with that noise. The methods utilize the strengths of a lag correction algorithm and a smoothing algorithm to optimize the quality and value of the resulting data (glucose concentrations and the rates of change in glucose concentrations) to a continuous glucose monitoring system. Also provided are systems and kits.

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: Methods and devices and systems for determining an analyte value are disclosed.

Abstract: Methods and apparatuses for determining an analyte value are disclosed.

Abstract: Methods and apparatuses including determining a calibration parameter associated with a detected analyte value, calibrating the analyte value based on the calibration parameter, and dynamically updating the calibration parameter are disclosed. Also provided are systems, kits, and computer program products.

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: The present disclosure provides methods of processing data provided by a transcutaneous or subcutaneous analyte sensor utilizing different algorithms to strike a balance between signal responsiveness accompanied by signal noise and the introduction of error associated with that noise. The methods utilize the strengths of a lag correction algorithm and a smoothing algorithm to optimize the quality and value of the resulting data (glucose concentrations and the rates of change in glucose concentrations) to a continuous glucose monitoring system. Also provided are systems and kits.

Abstract: In particular embodiments, methods, devices and systems including calibrating analyte data associated with a monitored analyte level received from an analyte sensor based on a reference measurement, determining a lag time constant associated with the calibrated analyte data, and performing lag correction of the calibrated analyte data based on the determined time lag constant are disclosed.

Abstract: Systems, devices and methods for the management of glucose levels in the body of patient featuring user interface input mechanisms configured to provide haptic feedback to the user are provided.

Abstract: Methods and devices and systems for determining an analyte value are disclosed.

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: Analyte sensor faults are detected. Datasets of glucose values sensor electronics are coupled to a glucose sensor in fluid contact with interstitial fluid under a skin surface. Baseline median glucose value and glucose variability values are computed, based on the first dataset. A baseline data point is stored. Evaluation median glucose value and variability are computed, based on the second dataset of glucose values. An evaluation data point is stored. A magnitude of a vector that extends between the baseline data point and the evaluation data point is computed. A component of the magnitude of the vector that is parallel to a hypoglycemia risk contour line is computed and compared to a predefined threshold value. An indication that a sensor fault has been detected if the component is greater than a threshold is displayed.