Abstract: A closed loop/semi-closed loop infusion system provides therapy modification and safeguards against the over-delivery or under-delivery of insulin. A glucose sensor system is configured to obtain a measured blood glucose value. A controller is operationally connected with the glucose sensor system and configured to trigger an alarm based on a measured blood glucose value or amount of insulin delivered, selectively perform calibration of the glucose sensor system when the alarm is triggered, and adjust a therapy delivery parameter when the alarm is triggered, wherein the adjusted therapy delivery parameter is limited to be within a boundary. Thereafter, a delivery system delivers therapy at the adjusted therapy delivery parameter.

Abstract: A diabetes data management system selects variable threshold parameters that are utilized in a report. A first low threshold glucose reading and a first high threshold glucose reading for a before meal event timeframe are selected. A second low threshold glucose reading and a second high threshold glucose reading are selected for an after meal event timeframe. The threshold readings are stored in a database. The diabetes data management system analyzes glucose behavior around meal events. The system receives a plurality of glucose readings for a time period, receives a first time range as a pre-meal analysis period for the first meal event and receives a second time range as a post-meal analysis period for the first meal event. The system creates a graph which highlights the pre-meal analysis period, the post-meal analysis period, and displays the plurality of glucose readings for the time period.

Abstract: A closed loop system or semi-closed loop system for infusing insulin using sensor values applies a redundant sensor system as a fail-safe method against sensor failure. The redundant glucose sensors are used corroborate each other and a failing sensor is detected if the sensors no longer corroborate each other. The use of redundant sensors has the additional benefit of producing better sensor signals compared to the use of a single sensor.

Abstract: Embodiments of the invention provide analyte sensors having elements designed to modulate their chemical reactions as well as methods for making and using such sensors. In certain embodiments of the invention, the sensor includes an analyte modulating membrane that comprises a blended mixture of a linear polyurethane/polyurea polymer, and a branched acrylate polymer.

Abstract: A closed loop system or semi-closed loop system for infusing insulin using sensor values applies a redundant sensor system as a fail-safe method against sensor failure. The redundant glucose sensors are used corroborate each other and a failing sensor is detected if the sensors no longer corroborate each other. The use of redundant sensors has the additional benefit of producing better sensor signals compared to the use of a single sensor.

Abstract: A diabetes data management system selects variable parameters and one or more devices with data that are utilized in a report. The diabetes data management system analyzes data during a selected period. The system generates reports which highlight data from one or more device during the selected period including carbohydrate, insulin, and glucose data, reports which highlight data around and during meal events and other user-defined events, reports which overlay multiple data based on time of day and other factors, and automatically prepared logbook reports.

Abstract: A method of calibrating glucose monitor data includes collecting the glucose monitor data over a period of time at predetermined intervals, obtaining reference glucose values from a reference source that temporally correspond with the glucose monitor data obtained at the predetermined intervals, calculating the calibration characteristics using the reference glucose values and corresponding glucose monitor data to regress the obtained glucose monitor data, and calibrating the obtained glucose monitor data using the calibration characteristics. In additional embodiments, calculation of the calibration characteristics includes linear regression and, in particular embodiments, least squares linear regression. Alternatively, calculation of the calibration characteristics includes non-linear regression. Data integrity may be verified and the data may be filtered. Further, calibration techniques may be modified during a fast rate of change in the patient's blood glucose level to increase sensor accuracy.

Abstract: A closed loop/semi-closed loop infusion system provides therapy modification and safeguards against the over-delivery or under-delivery of insulin. A glucose sensor system is configured to obtain a measured blood glucose value. A controller is operationally connected with the glucose sensor system and configured to trigger an alarm based on a measured blood glucose value or amount of insulin delivered, selectively perform calibration of the glucose sensor system when the alarm is triggered, and adjust a therapy delivery parameter when the alarm is triggered, wherein the adjusted therapy delivery parameter is limited to be within a boundary. Thereafter, a delivery system delivers therapy at the adjusted therapy delivery parameter.

Abstract: A method of calibrating glucose monitor data includes collecting the glucose monitor data over a period of time at predetermined intervals, obtaining reference glucose values from a reference source that temporally correspond with the glucose monitor data obtained at the predetermined intervals, calculating the calibration characteristics using the reference glucose values and corresponding glucose monitor data to regress the obtained glucose monitor data, and calibrating the obtained glucose monitor data using the calibration characteristics. In additional embodiments, calculation of the calibration characteristics includes linear regression and, in particular embodiments, least squares linear regression. Alternatively, calculation of the calibration characteristics includes non-linear regression. Data integrity may be verified and the data may be filtered.

Abstract: A system is provided for sensing blood glucose data of a patient. The system includes a sensor, user interface, and an optional auxiliary device. If the connection between the sensor and user interface is by a wire, the sensor remains powered when the wire is disconnected. The communication between the sensor and the user interface may be wireless. The auxiliary device can be a patient monitor or other display or signal device, which displays information about the blood glucose data collected by the sensor. The sensor is connected to sensor electronics, which include a sensor power supply, a voltage regulator, and optionally a memory and processor.

Abstract: A system is provided for sensing blood glucose data of a patient. The system includes a sensor, user interface, and an optional auxiliary device. If the connection between the sensor and user interface is by a wire, the sensor remains powered when the wire is disconnected. The communication between the sensor and the user interface may be wireless. The auxiliary device can be a patient monitor or other display or signal device, which displays information about the blood glucose data collected by the sensor. The sensor is connected to sensor electronics, which include a sensor power supply, a voltage regulator, and optionally a memory and processor.

Abstract: Disclosed are a method and/or system for filtering sensor measurements. In one particular implementation, a sensor signal may be processed concurrently in a plurality of signal-filter paths. A particular signal-filter path may be selected to provide an output signal for obtaining a measurement based, at least in part, on a measurement of noise associated with the sensor signal.

Abstract: The subject matter disclosed herein relates to systems, methods and/or devices for calibrating sensor data to be used in estimating a blood glucose concentration. A relationship between sensor measurements and reference readings may be used to estimate a relationship between sensor measurements and blood glucose concentration. Such sensor measurements may be weighted according to a decreasing function of uncertainty associated with sensor values.

Abstract: A system is provided for sensing blood glucose data of a patient. The system includes a sensor, user interface, and an optional auxiliary device. If the connection between the sensor and user interface is by a wire, the sensor remains powered when the wire is disconnected. The communication between the sensor and the user interface may be wireless. The auxiliary device can be a patient monitor or other display or signal device, which displays information about the blood glucose data collected by the sensor. The sensor is connected to sensor electronics, which include a sensor power supply, a voltage regulator, and optionally a memory and processor.

Abstract: Embodiments of the invention provide analyte sensors having optimized elements and/or configurations of elements as well as methods for making and using such sensors. Typical embodiments of the invention include glucose sensors used in the management of diabetes.

Abstract: A monitor device for a fluid infusion system and its operating, display, and data processing characteristics are described herein. One embodiment of the monitor device is used in an insulin infusion system having an insulin infusion pump and a continuous glucose sensor transmitter. The monitor device is configured as a wireless bedside monitor that wirelessly receives status data from a device in the fluid infusion system, such as the infusion pump or the sensor transmitter. The monitor device supports a number of user interface features, alarm/alert features, and graphical display features, where such features enhance the overall operation and user-friendliness of the monitor device. For example, the monitor device can generate status icons that graphically indicate the time remaining for an exhaustible operating quantity of a device in the infusion system (e.g., a battery charge, a fluid reservoir volume, or a calibration or replacement period).

Abstract: A telemetered characteristic monitor system includes a remotely located data receiving device, a sensor for producing signal indicative of a characteristic of a user, and a transmitter device. The transmitter device includes a housing, a sensor connector, a processor, and a transmitter. The transmitter receives the signals from the sensor and wirelessly transmits the processed signals to the remotely located data receiving device. The processor coupled to the sensor processes the signals from the sensor for transmission to the remotely located data receiving device. The data receiving device may be a characteristic monitor, a data receiver that provides data to another device, an RF programmer for a medical device, a medication delivery device (such as an infusion pump), or the like.

Abstract: An infusion system is for infusing a fluid into the body of a patient. The infusion system includes at least one sensor for monitoring blood glucose concentration of the patient and an infusion device for delivering fluid to the patient. The sensor produces at least one sensor signal input. The infusion device uses the at least one sensor signal input and a derivative predicted algorithm to determine future blood glucose levels. The infusion device delivers fluid to the patient when future blood glucose levels are in a patient's target range. The infusion device is capable of suspending and resuming fluid delivery based on future blood glucose levels and a patient's low shutoff threshold. The infusion device suspends fluid delivery when future blood glucose levels falls below the low shutoff threshold. The infusion device resumes fluid delivery when a future blood glucose level is above the low shutoff threshold.

Abstract: An infusion system is for infusing a fluid into the body of a patient. The infusion system includes at least one sensor for monitoring blood glucose concentration of the patient and an infusion device for delivering fluid to the patient. The sensor produces at least one sensor signal input. The infusion device uses the at least one sensor signal input and a derivative predicted algorithm to determine future blood glucose levels. The infusion device delivers fluid to the patient when future blood glucose levels are in a patient's target range. The infusion device is capable of suspending and resuming fluid delivery based on future blood glucose levels and a patient's low shutoff threshold. The infusion device suspends fluid delivery when future blood glucose levels falls below the low shutoff threshold. The infusion device resumes fluid delivery when a future blood glucose level is above the low shutoff threshold.

Abstract: A diabetes data management system selects variable threshold parameters to that are utilized in a report. A first low threshold glucose reading and a first high threshold glucose reading for a before meal event timeframe are selected. A second low threshold glucose reading and a second high threshold glucose reading are selected for an after meal event timeframe. The threshold readings are stored in a database. The diabetes data management system analyzes glucose behavior around meal events. The system receives a plurality of glucose readings for a time period, receives a first time range as a pre-meal analysis period for the first meal event and receives a second time range as a post-meal analysis period for the first meal event. The system creates a graph which highlights the pre-meal analysis period, the post-meal analysis period, and displays the plurality of glucose readings for the time period.