60 results about "Insulin dosage" patented technology

A computer implemented method and associated apparatus for the combined control of insulin bolus dosing and basal delivery for the goal of achieving normal glycemic response to meals, exercise, stressors, and other perturbations to blood glucose levels. A run-to-run algorithm is used to monitor blood glucose levels and adjust insulin delivery as conditions are varied.

Embodiments of the invention provide apparatus, systems and methods wherein pre-event and post-event analyte concentration readings associated with an event are collected and processed to determine a numerical delta. The numerical delta may be displayed on a visual display to aid in a ready determination of the affect that the event (alone or in combination with medication and/or insulin dosages) had on the analyte concentration levels. Medication and/or insulin dosages may be displayed alongside the numerical delta to gauge immediate relationships between numerical delta, dosage and/or an associated event. Apparatus and systems for calculating and displaying the numerical delta are described, as are other aspects.

Diabetes health management systems for use in portable devices having and methods thereof having a user interface, a processor, a memory, and a communication circuit are disclosed. In one embodiment, a diabetes health management system has program code further including a communications module, a data module, a therapy module, and an analysis module. The communications module wirelessly couples the portable device to a plurality of user devices. The data module receives and stores into the memory blood glucose measurement values, insulin dosage data, and health data entries. The therapy module determines a therapy advice message based at least in part on the received blood glucose measurement values, the received insulin dosage data, and displays the therapy advice message on the user interface. The analysis module displays on the user interface a graphical representation of selected blood glucose measurement values, selected insulin dosage data, selected health data entries, or combinations thereof.

A system for management of a chronic medical condition generally comprises a plurality of networked physical and/or virtual elements configured to cooperate to aid in management of a chronic medical condition of a patient. The system is configured to provide a primary caregiver with current data relating to the patient's medical condition, and to allow the caregiver to provide appropriate changes to the patient's treatment via an analyte detection meter. The meter is generally configured to calculate a treatment dosage by combining a plurality of patient-affected and caregiver-affected variables. One embodiment relates to a system for management of a diabetic condition in which the primary caregiver is provided with glucose concentration data as well as other information relating to a diabetic condition. The primary caregiver can then make appropriate changes to correction factors to be implemented in an analyte detection meter which is configured to calculate an insulin dosage.

Methods and apparatus are provided for determining a diabetic patient's carbohydrate to insulin ratio (CIR), carbohydrate to blood glucose ratio (CGR), and insulin sensitivity factor (ISF) using the patient's record of blood glucose readings, carbohydrate consumption and insulin doses. The method provides the sensitivity factors that best account for the patient's observed blood glucose changes by linear regression of appropriately transformed variables. An apparatus that can collect and store the blood glucose readings, insulin dosages, and carbohydrate intake data and process these data according to this invention can generate statistically characterized sensitivity factors to advise the diabetic patient on optimal bolus insulin dosages.

A blood glucose maintenance system for use by hyperglycemic individuals measures their blood glucose level and calculates an appropriate glucose or insulin dosage based on the measurement. Recheck intervals responsive to dosage history are determined. Warning or alert messages or signals are produced if certain measurements or calculations fall outside established normal ranges. It is particularly useful for patients in a hospital or in-patient environment.

A method for individualized management of diabetes in insulin-dependent patients provides a period of evaluation as the patient adheres to a structured pattern of eating, sleeping, and physical activity. Glucose is monitored with a continuous glucose monitoring system, insulin doses are metered, carbohydrate consumption is quantified, and glucose, carbohydrate, and insulin data are collected and analyzed. Insulin dosage is adjusted in three steps: (1) an insulin dosage is estimated from conventional formulas, (2) adjustments are made according to the patient's clinical specifics, and (3) further insulin dose adjustments are made according to glucose data obtained during the evaluation period. By the end of the evaluation period, substantially normal glucose values are achieved, and quantitative relationships from data are calculated that are then applied to determine insulin dosages for an ensuing period of therapy. By this method, diabetic patients achieve a near normal glycemic profile, and without significant occurrence of hypoglycemic episodes.

A method of diabetes analysis includes receiving a plurality of glucose level readings for a user. A common event occurrence in at least two of the glucose level readings is determined. The at least two glucose level readings from the common event occurrence onwards in time for a time period is analyzed. A glucose level pattern formed by the at least two glucose level readings having a similar shape is determined. At least one anomalous glucose level reading having the similar shape and not conforming to the glucose level pattern is analyzed. The at least one anomalous glucose level reading is adapted to the pattern to form an adapted glucose level pattern. An insulin dosage for the time period beginning at the common event occurrence is calculated based on the adapted glucose level pattern.

Method and apparatus for providing sensor guard for data monitoring and detection system having a sensor for detecting one or more glucose levels, the sensor including a work electrode disposed on a base material, a reference electrode disposed on the base material, and a guard electrode disposed on the base material, where the guard electrode is maintained substantially at equipotential to the work electrode, and a transmitter operatively coupled to the work electrode and the reference electrode of the sensor for receiving said detected glucose levels, where the transmitter is further configured to transmit a respective signal corresponding to each of the detected glucose levels using a data transmission protocol including wireless data transmission protocols, to a receiver which is configured to receive the transmitted signals corresponding to said detected glucose levels is provided. The method and apparatus may also include insulin administration unit such as an insulin pump configured to be in data communication with the transmitter and/or the receiver for administering an appropriate insulin dosage based on the measured glucose levels.

A portable insulin injection pen and blood glucose monitoring device is integrated into a single unit for testing and treating diabetes symptoms. The device has a housing of a size suitable for transport in a user's clothing pocket or handbag. Within the housing is a blood glucose monitoring system for receiving a sample of the user's blood and detecting its glucose level, an insulin injection mechanism for administering an insulin injection, and a microprocessor that calculates an insulin dosage appropriate to the detected blood glucose level and sets the insulin injection mechanism to administer the calculated insulin dosage. A communication device automatically informs a remote emergency service provider, such as 911 or an emergency service to which the user has subscribed, if the microprocessor determines that the detected blood glucose level presents a potential danger to the user. The microprocessor also calculates treatment regimens specific to a particular user based on the detected blood glucose level and displays the treatment regimens on an LCD display. In a particularly advantageous embodiment, a GPS receiver within the housing detects the location of the device, and the communication device, which can be a cellular telephone separate from the housing connected wirelessly to the unit via a Bluetooth connection or cellular telephone circuitry within the housing itself, transmits information regarding the location to the remote emergency service.

A method for measuring and managing an analyte (e.g., blood glucose) in a bodily fluid includes storing a therapeutic administration protocol in a memory module of an analyte measurement and management device and measuring the analyte in the bodily fluid sample using an analyte measurement module of the device. The method also includes calculating, with a processor module of the device, a recommended therapeutic agent dosage (for example, an insulin dosage) and a recommended administration time for user-activated delivery of the dosage by employing the therapeutic administration protocol. The method further includes displaying the recommended therapeutic agent dosage and administration time to a user on a visual display of the device, delivering a therapeutic agent dosage to the user via a user-activated therapeutic agent delivery device, and detecting the user-activated administration of the therapeutic agent using a delivery device communication module of the device. In addition, the method includes communicating the aforementioned detection to the processor module and/or memory module using the delivery device communication module. The method employs analyte measurement, memory, processor, and delivery device modules, as well as a visual display, and user interface that are integrated as a single hand-held unit.

A technique is disclosed by which a weight scale, having electronic output, is couplable to a processing device such as a computer, and preferably, a hand-held computer, PDA, cell phone or the like. The processing device is configured to receive weight inputs from the weight scale and identification information of the food or food ingredients being weighed, and then convert the gram weight of the food into grams of carbohydrate and protein for that food. For diabetes applications, the process also converts the carbohydrate and protein information into rapid-acting insulin dosages which can then be used to determine manually the amount of insulin to be dosed to the person with diabetes. In a preferred embodiment, the calculated insulin dosages information is automatically provided to a insulin pump or other automatic means of dosing insulin to a patient to thereby automatically dose the patient properly.

The invention relates to a device and method for treating diabetic patients on insulin therapy. More specifically, the invention includes apparatus for infusing insulin into a patient in an amount determined by the patient's carbohydrate intake, blood glucose level, and the amount of insulin calculated to be present in the patient at the time the therapy is to be administered. In one embodiment, an insulin infusion device having an on-board processor obtains a patient's blood glucose value from a remote sensor and receives input from a user indicating their recent meal intake. The device may include an on-board food database for determining the carbohydrate content of the patient's recent meals and compare that with recent insulin deliveries into the patient to determine the insulin present in the patient prior to determining an appropriate insulin dosage.

The present invention is made to provide a safe and efficient blood glucose measuring device capable of collectively performing blood glucose measurement process and collectively performing insulin administration process on many patients, while ruling out the risk of misidentification and misprescription among the patients. When having read a patient ID with a patient ID reading section, a control section identifies a record of the patient of a measurement/administration results table. The control section does not perform blood glucose measurement on the patient of the identified record which shows that a blood glucose measurement flag is “true” and an insulin administration confirmation flag is “false”, and displays an insulin dosage on a display unit with respect to the patient by referring to a prescription information table based on the blood glucose level has been measured. The control section does not display the insulin dosage on the display unit again for the patient whose record is identified which shows that the insulin administration confirmation flag is “true”.

A method of forecasting optimal insulin dosage levels calculates a near real time blood glucose forecast based on frequently updated data representative of blood glucose levels and displays a near real time blood glucose forecast to a user.

The present invention relates to a method of controlling the amount of insulin before meal. The present invention confirms whether the action of residual active insulin is taken into account by judging whether conventional or rapid-acting insulin is injected within a certain period of time. When taking the action of residual active insulin into account, the method of interpolation and numerical integration is adopted to accurately measure the residual amount of in vivo active insulin according to insulin pharmacodynamical data, thus more accurately measuring the insulin amount required before meal. The present invention can effectively reduce hyperglycemia/hypoglycemia caused by improper insulin amount, thus making the treatment more accurate and safer. In addition, the concept and method of measuring insulin amount provided by the present invention is also applicable to the measurement of insulin amount not before meal, which deserves promotion and application.

A multifunctional glucose monitoring system and method of measuring glucose level, determining insulin dosage, and indicating insulin dosage on a syringe is disclosed. The multifunctional glucose monitoring system includes standard functionality with respect to acquiring a blood glucose reading. However, in addition, the multifunctional glucose monitoring system includes a dosage algorithm for calculating an insulin dosage based on the blood glucose reading and any other useful parameters, and includes a built-in marking device for marking the calculated dosage level on the barrel of an insulin syringe that is installed in the body of the multifunctional glucose monitoring system. A method includes the steps of measuring the glucose level, determining an insulin dosage, and indicating the insulin dosage on a syringe.

The invention provides a preprandial insulin dosage individualized decision-making system based on a Gaussian process. The system utilizes an artificial intelligence method to mine information contained in patient blood glucose monitoring and insulin infusion data at the same time, establishes a postprandial blood glucose prediction model conforming to a human body metabolism rule, utilizes a risksensitive optimization control thought to determine the risk sensitivity coefficient in an individualized mode, and uses a Bayesian optimization method to solve the optimization problem, so the safeand effective preprandial insulin dosage can still be determined even under the condition that deviation exists in model prediction, and postprandial blood glucose management is improved. Therefore, in order to improve postprandial blood glucose management, the preprandial insulin dosage individualized decision-making system based on Gaussian process learning risk sensitive control is designed byutilizing historical data of a patient, the system fully excavates information of historical data of blood glucose metabolism of the patient, and the postprandial blood glucose prediction model is established, so subsequent postprandial blood sugar control or postprandial high and low blood sugar early warning can be conveniently implemented.

A method and system for optimizing insulin dosages for diabetic subjects which includes a processor for calculating basal and bolus dosages to be recommended for meal types including breakfast, lunch, dinner, snack, or at miscellaneous times. The bolus calculations are specifically directed to time periods which are taken from either pre-meal, post-meal, bedtime, mid-sleep or miscellaneous times. The processor calculates an optimized bolus for a specific time period and meal type based upon prior basal dosages, prior blood glucose doses, hypoglycemia thresholds, mid-point of target ranges, and subject insulin sensitivity factors. A display is provided to the subject for sensing the optimized insulin dosage recommended at a specific time period and for a specific meal type.

The invention provides a preprandial insulin dosage learning optimization decision-making system assisted by expert experience. According to the system, artificial intelligence and expert experience methods are combined, information contained in patient blood sugar monitoring and insulin infusion data is mined at the same time, a safe and effective preprandial insulin dosage can still be determined based on historical data under the condition of few samples, the postprandial blood sugar management is improved, and meanwhile, the system is endowed with abilities of continuous adaptive learning and decision-making performance improvement. Therefore, in order to improve postprandial blood glucose management and utilize a small amount of patient historical data, an expert decision-making assisted preprandial insulin dose individualized learning decision-making system is designed, a model prediction evaluation method is introduced into the system, system decision errors under the condition of few samples are effectively avoided, and the blood glucose metabolism rule of the patient is continuously learned; and meanwhile, an iterative updating thought is further introduced, a postprandial blood sugar management target is determined in a self-adaptive mode, and safe and effective preprandial insulin doses can be rapidly determined under the condition that few samples are used for diabetic patients under different illness conditions.