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: Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device to deliver fluid to a user in accordance with an operating mode involves identifying a fluid type associated with the fluid currently onboard the infusion device from among a plurality of possible fluid types that is different from a previous type of fluid previously onboard the infusion device. The identified fluid type has pharmacokinetics characteristics that are different from pharmacokinetics characteristics associated with the previous fluid type. The method continues by updating one or more parameters referenced by a control module of the infusion device implementing the operating mode to reflect the pharmacokinetics characteristics associated with the identified fluid type and autonomously operating the infusion device to deliver the fluid of the identified fluid type to the user in accordance with the operating mode and the one or more updated control parameters.

Abstract: Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device to deliver fluid to a user in accordance with an operating mode involves identifying a fluid type associated with the fluid currently onboard the infusion device from among a plurality of possible fluid types that is different from a previous type of fluid previously onboard the infusion device. The identified fluid type has pharmacokinetics characteristics that are different from pharmacokinetics characteristics associated with the previous fluid type. The method continues by updating one or more parameters referenced by a control module of the infusion device implementing the operating mode to reflect the pharmacokinetics characteristics associated with the identified fluid type and autonomously operating the infusion device to deliver the fluid of the identified fluid type to the user in accordance with the operating mode and the one or more updated control parameters.

Abstract: Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device capable of delivering fluid to a user involves identifying a condition of the user that is likely to influence a response to the fluid in the body of the user and classifying the condition as a first type of a plurality of types of conditions. After classifying the condition as the first type, the method continues by adjusting control information for operating the infusion device based on the first type and operating the infusion device to deliver the fluid to the user in accordance with the adjusted control information.

Abstract: Disclosed are methods, apparatuses, etc. for calibrating glucose monitoring sensors and/or insulin delivery systems. In certain example embodiments, blood glucose reference samples may be correlated with sensor measurements with regard to a delay associated with the sensor measurements. In certain other example embodiments, a blood-glucose concentration in a patient may be determined based, at least in part, on one or more probability models, one or more functions for estimating blood-glucose concentrations, and/or blood glucose reference sample-sensor measurement pairs.

Abstract: A method of measuring blood glucose of a patient is presented here. In accordance with certain embodiments, the method applies a constant voltage potential to a glucose sensor and obtains a constant potential sensor current from the glucose sensor, wherein the constant potential sensor current is generated in response to applying the constant voltage potential to the glucose sensor. The method continues by performing an electrochemical impedance spectroscopy (EIS) procedure for the glucose sensor to obtain EIS output measurements. The method also performs a nonlinear mapping operation on the constant potential sensor current and the EIS output measurements to generate a blood glucose value.

Abstract: An electronic controller for an insulin infusion device includes at least one processor device and at least one memory element that cooperate to provide a processor-implemented closed-loop initiation module. The initiation module is operated to obtain a most recent calibration factor for a continuous glucose sensor, the most recent calibration factor representing a first conversion value applicable to convert a first sensor value to a first blood glucose value. The initiation module also obtains a prior calibration factor for the sensor, and calibration timestamp data for the most recent calibration factor and the prior calibration factor. The initiation module regulates entry into a closed-loop operating mode of the insulin infusion device, based on the most recent calibration factor, the prior calibration factor, and the calibration timestamp data.

Abstract: Apparatus are provided for medical devices and related operating systems and methods. An exemplary medical device includes a motor, one or more data storage elements to maintain control information, and a control module coupled to the motor and the one or more data storage elements. The control module is configured to obtain updated control information via a peer-to-peer communication session over a network, store the updated control information in the one or more data storage elements, and thereafter operate the motor based at least in part on the updated control information.

Abstract: Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device capable of delivering fluid to a user involves storing alert configuration information for the user, identifying an alert condition while operating the infusion device to deliver the fluid based at least in part on the alert configuration information for the user, and in response to identifying the alert condition, providing a user notification in accordance with the user's stored alert configuration information.

Abstract: Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device capable of delivering fluid to a user involves storing alert configuration information for the user, identifying an alert condition while operating the infusion device to deliver the fluid based at least in part on the alert configuration information for the user, and in response to identifying the alert condition, providing a user notification in accordance with the user's stored alert configuration information.

Abstract: Systems and methods are provided for updating medical devices. An exemplary system includes a medical device and a remote device. The medical device is operable to regulate a condition of a user. The remote device receives measurement data correlative to the condition of the user, determines control information for the medical device based at least in part on the measurement data, and transmits the control information via a first peer-to-peer communication session. The medical device receives the control information via a second peer-to-peer communication session and thereafter regulates the condition of the user based at least in part on the control information and subsequent measurement data.

Abstract: A controller for an insulin infusion device includes at least one processor device and at least one memory element that cooperate to provide a processor-implemented closed-loop start-up module. The start-up module is operated to initiate a closed-loop mode of the infusion device and to obtain a most recent sensor glucose value for the user. The start-up module also calculates a difference between the most recent sensor glucose value and a target glucose setpoint value. When the difference is less than or equal to a threshold value, the closed-loop insulin infusion rate is adjusted over time, based on a fixed final target glucose value that is derived from the target glucose setpoint value. When the difference is greater than the threshold, the infusion rate is adjusted over time, based on a dynamic final target glucose value that decreases over time toward the target glucose setpoint value.

Abstract: Apparatus are provided for medical devices and related operating systems and methods. An exemplary medical device includes a motor, one or more data storage elements to maintain control information, and a control module coupled to the motor and the one or more data storage elements. The control module is configured to obtain updated control information via a peer-to-peer communication session over a network, store the updated control information in the one or more data storage elements, and thereafter operate the motor based at least in part on the updated control information.

Abstract: Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device capable of delivering fluid to a user involves storing alert configuration information for the user, identifying an alert condition while operating the infusion device to deliver the fluid based at least in part on the alert configuration information for the user, and in response to identifying the alert condition, providing a user notification in accordance with the user's stored alert configuration information.

Abstract: A controller for an insulin infusion device includes a processor device and a memory element that cooperate to provide a processor-implemented closed-loop insulin limit module. The insulin limit module is operated to obtain: a fasting blood glucose value of a user; a total daily insulin value of the user; and fasting insulin delivery data that is indicative of insulin delivered to the user during a fasting period. The insulin limit module calculates a maximum insulin infusion rate for the user based on the fasting blood glucose value, the total daily insulin value, and the fasting insulin delivery data. The maximum insulin infusion rate is applicable during a period of closed-loop operation of the insulin infusion device.

Abstract: The present invention provides systems and methods for monitoring in real time the physiological status of one or more subjects, especially subject engaged in potentially hazardous or dangerous activities. Systems include wearable items with one or more physiological sensors and a local data unit (LDU) operatively coupled to the sensors. The LDUs digitize and filter sensor data, extract physiological parameters, determine abnormal or not acceptable physiological conditions, and communicate to external monitoring facilities. The external facilities display status and data concerning monitored subjects. In preferred embodiments, communication between the LDUs and the external monitoring facilities dynamically adjusts to the condition of the subjects and to system changes such as subjects and external facilities entering and leaving and/or moving from place to place. The invention also provides program products for performing this invention's methods.

Abstract: An electronic controller for an insulin infusion device includes at least one processor device and at least one memory element that cooperate to provide a processor-implemented closed-loop initiation module. The initiation module is operated to obtain a most recent calibration factor for a continuous glucose sensor, the most recent calibration factor representing a first conversion value applicable to convert a first sensor value to a first blood glucose value. The initiation module also obtains a prior calibration factor for the sensor, and calibration timestamp data for the most recent calibration factor and the prior calibration factor. The initiation module regulates entry into a closed-loop operating mode of the insulin infusion device, based on the most recent calibration factor, the prior calibration factor, and the calibration timestamp data.

Abstract: Presented here are techniques for controlling glucose levels of a patient based on predicted time to a target glucose level. One methodology predicts a trajectory of the blood glucose level based on past observations of the blood glucose level, determines a cost expression based on the trajectory, and affects a future command to an infusion pump to affect a cost value according to the cost expression. Another methodology defines a target blood glucose concentration level for the patient, observes a current blood glucose concentration for the patient based on signals received from a blood-glucose sensor, and predicts a duration of time for the patient's blood glucose concentration to reach the target blood glucose concentration level based on the observed current blood glucose concentration.

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: An electronic controller for an insulin infusion device includes at least one processor device and at least one memory element that cooperate to provide a processor-implemented closed-loop initiation module. The initiation module is operated to obtain a most recent calibration factor for a continuous glucose sensor, the most recent calibration factor representing a first conversion value applicable to convert a first sensor value to a first blood glucose value. The initiation module also obtains a prior calibration factor for the sensor, and calibration timestamp data for the most recent calibration factor and the prior calibration factor. The initiation module regulates entry into a closed-loop operating mode of the insulin infusion device, based on the most recent calibration factor, the prior calibration factor, and the calibration timestamp data.