Abstract: Methods for setting a basal rate profile for an insulin pump, wherein the basal rate profile defines a basal rate delivery for a selected time interval and has a pre-defined number of profile segments each of which define the basal rate delivery for a subset of the selected time interval, include providing a curve representing the basal rate as a continuous function of time as an input for an input unit and generating the basal rate profile from the curve by a calculation unit by assigning curve values at selected time instances to the pre-defined number of profile segments.

Abstract: Methods for setting a basal rate profile for an insulin pump, wherein the basal rate profile defines a basal rate delivery for a selected time interval and has a pre-defined number of profile segments each of which define the basal rate delivery for a subset of the selected time interval, include providing a curve representing the basal rate as a continuous function of time as an input for an input unit and generating the basal rate profile from the curve by a calculation unit by assigning curve values at selected time instances to the pre-defined number of profile segments.

Abstract: Methods for setting a basal rate profile for an insulin pump, wherein the basal rate profile defines a basal rate delivery for a selected time interval and has a pre-defined number of profile segments each of which define the basal rate delivery for a subset of the selected time interval, include providing a curve representing the basal rate as a continuous function of time as an input for an input unit and generating the basal rate profile from the curve by a calculation unit by assigning curve values at selected time instances to the pre-defined number of profile segments.

Abstract: A method and system for optimizing post prandial blood glucose excursions for persons with diabetes via computation of time-varying optimal insulin profiles are disclosed. The method builds upon a mathematical model based on the physiologic description of the human glucoregulatory system. Model parameter values are specific for each patient and meal type, and are determined from measured data by minimizing differences between both measurements and model predictions, and which are used to provide the optimal insulin profiles that are useful to diabetics in managing their chronic disease.

Abstract: Embodiments of an assessment method for processing a signal corresponding to a glucose concentration and performing a retrospective analysis includes the steps of: a) initiating a first trigger, wherein the first trigger defines the beginning of a segment of a continuous measurement of glucose concentration or define the first of a series of spot measurements of glucose concentration; b) collecting data of the continuous measurement or the series of spot measurements of glucose concentration to be analyzed, wherein the collected data relates to a glucose concentration excursion corresponding to a reaction to a relevant event such as a meal or physical activity; c) analyzing the collected data initiated by a second trigger, wherein the second trigger defines the end of the collected data to be analyzed, wherein a measure for a grading of the excursion is determined from the collected data, and d) displaying the result of the analysis.

Abstract: Embodiments of an assessment method for processing a signal corresponding to a glucose concentration and performing a retrospective analysis comprises the steps of: a) initiating a first trigger, wherein the first trigger defines the beginning of a segment of a continuous measurement of glucose concentration or defines the first of a series of spot measurements of glucose concentration; b) collecting data of the continuous measurement or the series of spot measurements of glucose concentration to be analyzed, wherein the collected data relates to a glucose concentration excursion corresponding to a reaction to a relevant event such as a meal or physical activity; c) analyzing the collected data initiated by a second trigger, wherein the second trigger defines the end of the collected data to be analyzed, wherein a measure for a grading of the excursion is determined from the collected data, and d) displaying the results of the analysis.

Abstract: Embodiments of an assessment method for processing a signal corresponding to a glucose concentration and performing a retrospective analysis comprises the steps of: a) initiating a first trigger, wherein the first trigger defines the beginning of a segment of a continuous measurement of glucose concentration or defines the first of a series of spot measurements of glucose concentration; b) collecting data of the continuous measurement or the series of spot measurements of glucose concentration to be analyzed, wherein the collected data relates to a glucose concentration excursion corresponding to a reaction to a relevant event such as a meal or physical activity; c) analyzing the collected data initiated by a second trigger, wherein the second trigger defines the end of the collected data to be analyzed, wherein a measure for a grading of the excursion is determined from the collected data, and d) displaying the results of the analysis.

Abstract: A method and system for optimizing post prandial blood glucose excursions for persons with diabetes via computation of time-varying optimal insulin profiles are disclosed. The method builds upon a mathematical model based on the physiologic description of the human glucoregulatory system. Model parameter values are specific for each patient and meal type, and are determined from measured data by minimizing differences between both measurements and model predictions, and which are used to provide the optimal insulin profiles that are useful to diabetics in managing their chronic disease.

Abstract: Embodiments of an assessment method for processing a signal corresponding to a glucose concentration and performing a retrospective analysis comprises the steps of: a) initiating a first trigger, wherein the first trigger defines the beginning of a segment of a continuous measurement of glucose concentration or defines the first of a series of spot measurements of glucose concentration; b) collecting data of the continuous measurement or the series of spot measurements of glucose concentration to be analyzed, wherein the collected data relates to a glucose concentration excursion corresponding to a reaction to a relevant event such as a meal or physical activity; c) analyzing the collected data initiated by a second trigger, wherein the second trigger defines the end of the collected data to be analyzed, wherein a measure for a grading of the excursion is determined from the collected data, and d) displaying the results of the analysis.

Abstract: An administering device with an osmotic drive for administering an injectable product includes a housing with a first chamber containing a solvent, a second chamber containing a solution and a product chamber for accommodating the product. A semi-permeable membrane is disposed between the first chamber and the second chamber. The second chamber is adjoined by a delivery means for delivering product out of the product chamber. A triggering device for triggering the osmotic drive includes an impermeable separating means between the first chamber and the second chamber. The delivery means is slidable relative to the housing along a longitudinal axis of the housing.

Abstract: An administering device with an osmotic drive for administering an injectable product includes a housing with a first chamber containing a solvent, a second chamber containing a solution and a product chamber for accommodating the product. A semi-permeable membrane is disposed between the first chamber and the second chamber. The second chamber is adjoined by a delivery means for delivering product out of the product chamber. A triggering device for triggering the osmotic drive includes an impermeable separating means between the first chamber and the second chamber. The delivery means is slidable relative to the housing along a longitudinal axis of the housing.