59 results about "Basal rate" patented technology

Apparatuses and methods for medical monitoring physiological characteristics values such as blood glucose levels for the treatment of diabetes, are presented. The apparatuses and methods provide dynamic glucose monitoring functions that perform predictive analysis to anticipate harmful conditions, such as glucose crash and hyperglycemic incidents for a patient. The dynamic functions can also be used to maximize athletic performance and warn of inadequate nocturnal basal rate. Other aspects include advanced alarm and reminder functions, as well as advanced data presentation tools to further facilitate convenient and efficient management of various physiological conditions.

Apparatuses and methods for medical monitoring physiological characteristics values such as blood glucose levels for the treatment of diabetes, are presented. The apparatuses and methods provide dynamic glucose monitoring functions that perform predictive analysis to anticipate harmful conditions, such as glucose crash and hyperglycemic incidents for a patient. The dynamic functions can also be used to maximize athletic performance and warn of inadequate nocturnal basal rate. Other aspects include advanced alarm and reminder functions, as well as advanced data presentation tools to further facilitate convenient and efficient management of various physiological conditions.

A system and method for providing closed loop infusion formulation delivery which accurately calculates a delivery amount based on a sensed biological state by adjusting an algorithm's programmable control parameters. The algorithm calculates a delivery amount having proportional, derivative, and basal rate components. The control parameters may be adjusted in real time to compensate for changes in a sensed biological state that may result from daily events. Safety limits on the delivery amount may be included in the algorithm. The algorithm may be executed by a computing element within a process controller for controlling closed loop infusion formulation delivery. The biological state is sensed by a sensing device which provides a signal to the controller. The controller calculates an infusion formulation delivery amount based on the signal and sends commands to an infusion formulation delivery device which delivers an amount of infusion formulation determined by the commands.

An external infusion device for delivering insulin from a reservoir into a body of a user includes the capability to deliver time-shifted basal insulin. The external infusion device includes at least one drive mechanism operatively couplable to the reservoir to deliver insulin into the body of the user, at least one processor to control the external infusion device, at least one power supply, at least one display device operatively coupled to the processor to provide visual information to the user, at least one input device operatively coupled to the processor to allow the user to command the processor, and a housing. Time-shifting of basal insulin occurs when a portion of basal insulin is added to a bolus, to a current basal rate, or to a bolus and a current basal rate.

A system and method of temporarily adjusting a delivery of fluid or medications to a user from an infusion device that provides various delivery customizations, and may include a user interface. The user interface may provide access to a menu from which users can select specific delivery options appropriate for different times and situations.

Continuous glucose monitoring (CGM) data and insulin delivery data are used to generate more reliable projected alarms related to a projected glucose levels. A memory stores endogenous data related to measurements of glucose level in a patient, and also stores exogenous data, such as insulin on board, both of which are used by a processor to create projected alarms. Profiles of CGM data are created for use in tuning patient-specific insulin data, such at basal rate, carb ratio, and insulin sensitivity. A processor searches for patterns in the data profiles and if found, recommended changes to patient-specific insulin data are provided to permit more accurate control over a patient's glucose levels.

An external infusion device for delivering insulin from a reservoir into a body of a user includes the capability to deliver time-shifted basal insulin. The external infusion device includes at least one drive mechanism operatively couplable to the reservoir to deliver insulin into the body of the user, at least one processor to control the external infusion device, at least one power supply, at least one display device operatively coupled to the processor to provide visual information to the user, at least one input device operatively coupled to the processor to allow the user to command the processor, and a housing. Time-shifting of basal insulin occurs when a portion of basal insulin is added to a bolus, to a current basal rate, or to a bolus and a current basal rate.

A method of managing use of an insulin infusion device are provided. The method receives glucose data for a user of the infusion device, wherein the glucose data indicates blood glucose levels of the user for a period of time during which the insulin infusion device is regulating delivery of insulin to the user. The received glucose data is received to detect certain event occurrences, which may be indicative of a correctable basal rate setting of the insulin infusion device and / or indicative of potential maladjustment of a user-specific setting of a bolus calculator setting of the insulin infusion device. The method outputs a recommendation to adjust the basal rate setting and / or the bolus calculator setting as needed to address the detected event occurrences.

A structure, method, and computer program product for a diabetes control system provides, but is not limited thereto, the following: open-loop or closed-loop control of diabetes that adapts to individual physiologic characteristics and to the behavioral profile of each person. An exemplary aspect to this adaptation is biosystem (patient or subject) observation and modular control. Consequently, established is the fundamental architecture and the principal components for a modular system, which may include algorithmic observers of patients' behavior and metabolic state, as well as interacting control modules responsible for basal rate, insulin boluses, and hypoglycemia prevention.

The present disclosure relates to a system and method for determining a basal rate adjustment based on risk associated with a glucose state of a person with diabetes. A method may include detecting a glucose state of the person based on a received glucose measurement signal and determining a current risk metric associated with the detected glucose state. The method may include identifying a reference glucose state and a reference risk metric associated with the reference glucose state, and calculating an adjustment to a basal rate of a therapy delivery device based on the current risk metric associated with the detected glucose state and the reference risk metric associated with the reference glucose level.

An electronic computing device as presented here includes a device communications layer, a processor device, and a reporting layer. The device communications layer receives sensor data for a user of an insulin infusion device, wherein the sensor data indicates blood glucose levels of the user for a specified period of time, and over a plurality of days. The processor device analyzes the received sensor data to detect an event occurrence indicative of a correctable basal rate setting of the insulin infusion device. The reporting layer generates a report containing a graphical representation of the received sensor data and a recommendation to adjust a basal rate setting of the insulin infusion device, wherein the recommendation is intended to address the detected event occurrence.

Monitoring system and method for use with diabetic treatment management. The system includes: a communication interface configured to permit access to stored raw log data, obtained over a certain time, being indicative of glucose measurements, meals consumed and insulin delivery; and a control unit including an unsupervised learning controller configured to receive and process said raw log data and determine at least one global insulin pump setting of basal rate, correction factor, carbohydrate ratio and insulin activity curve parameters. The system may include a processing unit including a first processor for processing measured data indicative of blood glucose level and generating first processed data, a second processor including at least one fuzzy logic module which receives input parameters corresponding to the measured data, the first processed data and a reference data, and processes the data to produce a qualitative output parameter to determine whether any treatment parameter should be modified.

A system for infusing liquid to a body includes an infusion device, a network interface with a cell phone and wireless link and a network server system capable of communication with the infusion device through the network interface. The server system has access to a file of information specific to the controller for the infusion device. The infusion device includes a source of infusion fluid, a delivery port, a pump between the source of infusion fluid and the delivery port and a controller capable of programmable pump rate and sequence. A method for infusing liquid to a body includes controlling infusion using a programmable controller, establishing a file of information specific to the controller accessible to an extended area network server system and remotely transmitting commands to the controller. The information specific to the controller in the file is amended from a control terminal remote from the body. Operating instructions responsive to the updated information in the file are provided over an extended area network to a programmable two-way communication device. The device is capable of communication with the controller to forward operating commands. Requests for a bolus or a basal rate change are made through input to the two-way communication device which responds with commands transmitted over the wireless link to the controller consistent with the operating instructions from the server system. Network access through a monitoring terminal to the incidents of amending information specific to the controller is used for generating payments for the incidents of amending information specific to the controller accessed by the monitoring terminal.

A portable insulin delivery device that supplies insulin in a pre-pressurized chamber, passes the insulin through a pressure-dropping labyrinth to a flow control valve. The valve is activated by a piezoelectric actuator. This allows for precise insulin delivery. An electronic package provides for programming of basal rates and bolus. A pressure sensor relays data concerning normal operation and pressure changes that indicate problems. The processor, keypad, displays power source, fluid pressure sensor and fluid flow control actuator are housed in a base unit. A removable cartridge unit houses the pre-pressurized fluid reservoir, flow path labyrinth, and flow control valve.

A decision support system includes a measurement device configured to continuously measure a physiological parameter of a patient. An insulin delivery device provides insulin to the patient per an initial basal profile and the parameter measurements. A storage device holds historical data of insulin delivery to the patient. A processor determines deviations of the delivery of insulin from the basal profile for one or more time period(s) using the historical data, computes a respective first basal-profile adjustment for each of the one or more time period(s) using the determined deviations, and annunciates the computed first basal-profile adjustment(s). A method of recommending a basal-rate adjustment includes measuring the parameter, infusing the patient with insulin and storing the historical data, determining the deviations from the basal profile, computing the first basal-profile adjustments, and annunciating the computed first basal-profile adjustment(s).

A system for infusing liquid to a body includes an infusion device, a network interface with a cell phone and wireless link and a network server system capable of communication with the infusion device through the network interface. The server system has access to a file of information specific to the controller for the infusion device. The infusion device includes a source of infusion fluid, a delivery port, a pump between the source of infusion fluid and the delivery port and a controller capable of programmable pump rate and sequence. A method for infusing liquid to a body includes controlling infusion using a programmable controller, establishing a file of information specific to the controller accessible to an extended area network server system and remotely transmitting commands to the controller. The information specific to the controller in the file is amended from a control terminal remote from the body. Operating instructions responsive to the updated information in the file are provided over an extended area network to a programmable two-way communication device. The device is capable of communication with the controller to forward operating commands. Requests for a bolus or a basal rate change are made through input to the two-way communication device which responds with commands transmitted over the wireless link to the controller consistent with the operating instructions from the server system. Network access through a monitoring terminal to the incidents of amending information specific to the controller is used for generating payments for the incidents of amending information specific to the controller accessed by the monitoring terminal.

A drug infusion system capable of delivering a fluid medication to a patient under direction of a medical professional continually at a basal rate and at an interval rate in each of a plurality of time slots over a specified period of time. The total dose of the fluid medication to be delivered to the patient over the period of time based on the basal rate and the interval rate for each of the plurality of time slots is determined, compared the total dose against a maximum dose. The basal rate is adjusted, if necessary, so that the total dose does not exceed the maximum dose.

A device (1000) for delivering a therapeutic fluid (e.g. insulin) into a body of a patient are provided. In one aspect, the device can be implemented with a help of a patch unit (10) securable to a cradle unit (20) or to the body of the patient. The patch unit can employ a driving mechanism (120), a power source (210), a processor (110), a user interface (14) and a display(12). The processor can be adapted for controlling the driving mechanism by using one or more inputs. The inputs can corresponding to a basal rate and / or a bolus profile. The display can be adapted for displaying the inputs. The user interface can be adapted for adjusting the inputs.

The embodiments described herein may relate to methods and systems for adjusting insulin delivery. Some methods and systems may be configured to adjust insulin delivery to personalize automated insulin delivery for a person with diabetes. Such personalization may include adjusting user specific dosage parameters in response to a user provided insulin delivery amount, including a user provided insulin delivery amount that varies from a recommended insulin delivery amount. Methods and systems may include locking out automated modification of a baseline basal rate of insulin for the user for the time period after a user provides an insulin delivery amount.

A method of insulin delivery, the method may include obtaining one or more blood glucose readings of a user, and, based on the blood glucose readings, generating a set of insulin delivery actions that may include delivery of a baseline basal rate or predefined variations of the baseline basal rate. The method may also include monitoring previous insulin delivery actions to the user to determine whether the previous insulin delivery actions include insulin beyond a threshold amount, where the previous insulin delivery actions may include delivery of the baseline basal rate or predefined variations of the baseline basal rate, and, based on the previous insulin delivery actions including insulin beyond the threshold amount, adjusting the set of insulin delivery actions.

Monitoring system and method for use with diabetic treatment management. The system includes: a communication interface configured to permit access to stored raw log data, obtained over a certain time, being indicative of glucose measurements, meals consumed and insulin delivery; and a control unit including an unsupervised learning controller configured to receive and process said raw log data and determine at least one global insulin pump setting of basal rate, correction factor, carbohydrate ratio and insulin activity curve parameters. The system may include a processing unit including a first processor for processing measured data indicative of blood glucose level and generating first processed data, a second processor including at least one fuzzy logic module which receives input parameters corresponding to the measured data, the first processed data and a reference data, and processes the data to produce a qualitative output parameter to determine whether any treatment parameter should be modified.

An algorithm and method of making intelligent therapy recommendations for insulin pump parameters is described. The pump parameters include basal rates, carbohydrate-to-insulin ratios (CIR), and insulin sensitivity factors (ISF). A determination of whether a therapy recommendation should be made is based on comparing an updated recommended change with a threshold. The updated recommended change to the pump parameter is made based on a previous recommended change to the pump parameter and the difference between a current blood glucose value and a targeted blood glucose level. The algorithm and method confirms the therapy recommendation is within safety parameters before displaying the therapy recommendation.

An infusion pump system providing therapy to a patient in a closed-loop or semi-closed loop mode can safely automatically revert to open-loop therapy. The system stores a default open-loop basal rate profile in memory. The system also continually tracks the insulin on board for the patient over a plurality of closed-loop therapy intervals. When an error or event occurs requiring reversion to open-loop therapy, the system automatically provides therapy according to the open-loop basal rate profile and the tracked insulin on board amount.

An algorithm and method of making intelligent therapy recommendations for insulin pump parameters is described. The pump parameters include basal rates, carbohydrate-to-insulin ratios (CIR), and insulin sensitivity factors (ISF). A determination of whether a therapy recommendation should be made is based on comparing an updated recommended change with a threshold. The updated recommended change to the pump parameter is made based on a previous recommended change to the pump parameter and the difference between a current blood glucose value and a targeted blood glucose level. The algorithm and method confirms the therapy recommendation is within safety parameters before displaying the therapy recommendation.

An apparatus comprising a user interface configured to generate an electrical signal to start a basal insulin rate test when prompted by a user, an input configured to receive sampled blood glucose data of a patient that is obtained during a specified time duration, including a time duration during delivery of insulin according to a specified basal insulin rate pattern, and a controller communicatively coupled to the input and the user interface. The controller includes an insulin calculation module configured for determining at least one of an amount of basal insulin over-delivered and an amount of basal insulin under-delivered during the basal insulin rate test in trying to meet a target blood glucose baseline. Other devices and methods are disclosed.

Equivalent insulin pump retrospective virtual basal rates for daily injections are constructed from planned insulin injections according to a virtual basal rate profile developed for a patient, and a database of historical insulin injections, i.e. basal injections actually administered by the patient, providing a unified framework for analysis, design, optimization, and adaptation of MDI (multiple daily injections) and CSII (continuous subcutaneous insulin infusion (i.e. insulin pump)) treatment parameters for patients with diabetes.

An infusion pump system providing therapy to a patient in a closed-loop or semi-closed loop mode can safely automatically revert to open-loop therapy. The system stores a default open-loop basal rate profile in memory. The system also continually tracks the insulin on board for the patient over a plurality of closed-loop therapy intervals. When an error or event occurs requiring reversion to open-loop therapy, the system automatically provides therapy according to the open-loop basal rate profile and the tracked insulin on board amount.

Continuous glucose monitoring (CGM) data and insulin delivery data are used to generate more reliable projected alarms related to a projected glucose levels. A memory stores endogenous data related to measurements of glucose level in a patient, and also stores exogenous data, such as insulin on board, both of which are used by a processor to create projected alarms. Profiles of CGM data are created for use in tuning patient-specific insulin data, such at basal rate, carb ratio, and insulin sensitivity. A processor searches for patterns in the data profiles and if found, recommended changes to patient-specific insulin data are provided to permit more accurate control over a patient's glucose levels.