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 fluid infusion system as described herein includes a number of local “body network” devices, such as an infusion pump, a handheld monitor or controller, a physiological sensor, and a bedside or hospital monitor. The body network devices can be configured to support communication of status data, physiological information, alerts, control signals, and other information between one another. In addition, the body network devices can be configured to support networked communication of status data, physiological information, alerts, control signals, and other information between the body network devices and “external” devices, systems, or communication networks. Such external communication allows the infusion system to be extended beyond the traditional short-range user environment. One particular system embodiment includes a network router device that functions as a centralized storage, processing, and routing unit for data received from the body network devices.

Abstract: A method of calibrating glucose monitor data includes collecting the glucose monitor data over a period of time at predetermined intervals. It also includes obtaining at least two reference glucose values from a reference source that temporally correspond with the glucose monitor data obtained at the predetermined intervals. Also included is calculating the calibration characteristics using the reference glucose values and the corresponding glucose monitor data to regress the obtained glucose monitor data. And calibrating the obtained glucose monitor data using the calibration characteristics is included. In preferred embodiments, the reference source is a blood glucose meter, and the at least two reference glucose values are obtained from blood tests. In additional embodiments, the calculation of the calibration characteristics is obtained using linear regression and in particular embodiments, least squares linear regression.

Abstract: A method of calibrating glucose monitor data includes collecting the glucose monitor data over a period of time at predetermined intervals. It also includes obtaining at least two reference glucose values from a reference source that temporally correspond with the glucose monitor data obtained at the predetermined intervals. Also included is calculating the calibration characteristics using the reference glucose values and the corresponding glucose monitor data to regress the obtained glucose monitor data. And calibrating the obtained glucose monitor data using the calibration characteristics is included. In preferred embodiments, the reference source is a blood glucose meter, and the at least two reference glucose values are obtained from blood tests. In additional embodiments, the calculation of the calibration characteristics is obtained using linear regression and in particular embodiments, least squares linear regression.

Abstract: A method of calibrating glucose monitor data includes collecting the glucose monitor data over a period of time at predetermined intervals. It also includes obtaining at least two reference glucose values from a reference source that temporally correspond with the glucose monitor data obtained at the predetermined intervals. Also included is calculating the calibration characteristics using the reference glucose values and the corresponding glucose monitor data to regress the obtained glucose monitor data. And calibrating the obtained glucose monitor data using the calibration characteristics is included. In preferred embodiments, the reference source is a blood glucose meter, and the at least two reference glucose values are obtained from blood tests. In additional embodiments, the calculation of the calibration characteristics is obtained using linear regression and in particular embodiments, least squares linear regression.