Embodiments of the subject matter described herein relate generally to medical devices, and more particularly, embodiments of the subject matter relate to providing rescue detection and related delivery protections during operation of a fluid infusion device.
Infusion pump devices and systems are relatively well known in the medical arts, for use in delivering or dispensing an agent, such as insulin or another prescribed medication, to a patient. A typical infusion pump includes a pump drive system which typically includes a small motor and drive train components that convert rotational motor motion to a translational displacement of a plunger (or stopper) in a reservoir that delivers medication from the reservoir to the body of a user via a fluid path created between the reservoir and the body of a user. Use of infusion pump therapy has been increasing, especially for delivering insulin for diabetics.
Continuous insulin infusion provides greater control of a diabetic's condition, and hence, control schemes are being developed that allow insulin infusion pumps to monitor and regulate a user's blood glucose level in a substantially continuous and autonomous manner. Regulating blood glucose level is complicated by variations in the response time for the type of insulin being used along with variations in a user's individual insulin response and daily activities (e.g., exercise, carbohydrate consumption, bolus administration, and the like). To compensate for these variations, the amount of insulin being infused in an automated manner may also vary. Reliance solely on currently sensed glucose values may result in delivery adjustments that are too late to avoid a hypoglycemic or hyperglycemic event, so accordingly, predictive algorithms may be utilized to provide estimations of the future blood glucose levels as an aid in regulating the blood glucose level.
One scenario that can be problematic occurs when a user consumes fast-acting carbohydrates, for example, to avoid a potential hypoglycemic event. This, in turn, can result in a spike in the user's blood glucose level, which, in turn, can result in a rising trend in glucose values indicating a need to deliver insulin to mitigate the rise in blood glucose level, thereby unintentionally counteracting the fast-acting carbohydrates. While a quick response time is desired to facilitate a stable blood glucose level, automatically recovering from responding too quickly may not be feasible since infusion devices are generally incapable of undoing a previous delivery. Thus, there is a need to distinguish actionable events that the infusion device should respond to from those that do not require an immediate response.
Infusion systems, infusion devices, and related operating methods are provided. An embodiment of a method of operating an infusion device to deliver fluid capable of influencing a physiological condition to a body of a user is provided. The method involves autonomously operating the infusion device to deliver the fluid based at least in part on measurement values for the physiological condition in the body of the user, detecting a nonactionable condition, such as a rescue condition, based on one or more of the measurement values, and in response to detecting the nonactionable condition, limiting delivery of the fluid while autonomously operating the infusion device.
An embodiment of an infusion system is also provided. The infusion system comprises a sensing arrangement to obtain measurement values for a physiological condition from a body of a user and an infusion device including an actuation arrangement operable to deliver fluid to the body of the user and a control system coupled to the actuation arrangement. The fluid influences the physiological condition of the user, and the control system is configured to autonomously operate the actuation arrangement to deliver a variable rate of infusion based on the measurement values, detect a rescue condition based on one or more of the measurement values, and temporarily limit the variable rate of infusion in response to the rescue condition.
An apparatus of an infusion device is also provided. The infusion device comprises an actuation arrangement operable to deliver fluid to a body of a user, a data storage element to maintain control parameters for a closed-loop operating mode, a communications interface to receive measurement values indicative of a physiological condition in the body of the user influenced by the fluid, and a control module coupled to the actuation arrangement, the data storage element, and the communications interface. The control module is configured to autonomously operate the actuation arrangement to deliver a variable rate of infusion based on the measurement values and the control parameters in accordance with the closed-loop operating mode, detect a rescue condition based on one or more of the measurement values, and temporarily limit the variable rate of infusion in response to the rescue condition.
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
A more complete understanding of the subject matter may be derived by referring to the detailed description and claims when considered in conjunction with the following figures, wherein like reference numbers refer to similar elements throughout the figures, which may be illustrated for simplicity and clarity and are not necessarily drawn to scale.
The following detailed description is merely illustrative in nature and is not intended to limit the embodiments of the subject matter or the application and uses of such embodiments. As used herein, the word “exemplary” means “serving as an example, instance, or illustration.” Any implementation described herein as exemplary is not necessarily to be construed as preferred or advantageous over other implementations. Furthermore, there is no intention to be bound by any expressed or implied theory presented in the preceding technical field, background, brief summary or the following detailed description.
While the subject matter described herein can be implemented in any electronic device that includes a motor, exemplary embodiments described below are implemented in the form of medical devices, such as portable electronic medical devices. Although many different applications are possible, the following description focuses on a fluid infusion device (or infusion pump) as part of an infusion system deployment. For the sake of brevity, conventional techniques related to infusion system operation, insulin pump and/or infusion set operation, and other functional aspects of the systems (and the individual operating components of the systems) may not be described in detail here. Examples of infusion pumps may be of the type described in, but not limited to, U.S. Pat. Nos. 4,562,751; 4,685,903; 5,080,653; 5,505,709; 5,097,122; 6,485,465; 6,554,798; 6,558,320; 6,558,351; 6,641,533; 6,659,980; 6,752,787; 6,817,990; 6,932,584; and 7,621,893; each of which are herein incorporated by reference.
Embodiments of the subject matter described herein generally relate to fluid infusion devices including a motor that is operable to linearly displace a plunger (or stopper) of a reservoir provided within the fluid infusion device to deliver a dosage of fluid, such as insulin, to the body of a user. Dosage commands that govern operation of the motor may be generated in an automated manner in accordance with the delivery control scheme associated with a particular operating mode, and the dosage commands may be generated in a manner that is influenced by a current (or most recent) measurement of a physiological condition in the body of the user. For example, in a closed-loop operating mode, dosage commands may be generated based on a difference between a current (or most recent) measurement of the interstitial fluid glucose level in the body of the user and a target (or reference) glucose value. In this regard, the rate of infusion may vary as the difference between a current measurement value and the target measurement value fluctuates. For purposes of explanation, the subject matter is described herein in the context of the infused fluid being insulin for regulating a glucose level of a user (or patient); however, it should be appreciated that many other fluids may be administered through infusion, and the subject matter described herein is not necessarily limited to use with insulin.
As described in greater detail below, primarily in the context of
Infusion System Overview
Turning now to
In the illustrated embodiment of
The sensing arrangement 104 generally represents the components of the infusion system 100 configured to sense, detect, measure or otherwise quantify a condition of the user, and may include a sensor, a monitor, or the like, for providing data indicative of the condition that is sensed, detected, measured or otherwise monitored by the sensing arrangement. In this regard, the sensing arrangement 104 may include electronics and enzymes reactive to a biological or physiological condition of the user, such as a blood glucose level, or the like, and provide data indicative of the blood glucose level to the infusion device 102, the CCD 106 and/or the computer 108. For example, the infusion device 102, the CCD 106 and/or the computer 108 may include a display for presenting information or data to the user based on the sensor data received from the sensing arrangement 104, such as, for example, a current glucose level of the user, a graph or chart of the user's glucose level versus time, device status indicators, alert messages, or the like. In other embodiments, the infusion device 102, the CCD 106 and/or the computer 108 may include electronics and software that are configured to analyze sensor data and operate the infusion device 102 to deliver fluid to the body of the user based on the sensor data and/or preprogrammed delivery routines. Thus, in exemplary embodiments, one or more of the infusion device 102, the sensing arrangement 104, the CCD 106, and/or the computer 108 includes a transmitter, a receiver, and/or other transceiver electronics that allow for communication with other components of the infusion system 100, so that the sensing arrangement 104 may transmit sensor data or monitor data to one or more of the infusion device 102, the CCD 106 and/or the computer 108.
Still referring to
In various embodiments, the CCD 106 and/or the computer 108 may include electronics and other components configured to perform processing, delivery routine storage, and to control the infusion device 102 in a manner that is influenced by sensor data measured by and/or received from the sensing arrangement 104. By including control functions in the CCD 106 and/or the computer 108, the infusion device 102 may be made with more simplified electronics. However, in other embodiments, the infusion device 102 may include all control functions, and may operate without the CCD 106 and/or the computer 108. In various embodiments, the CCD 106 may be a portable electronic device. In addition, in various embodiments, the infusion device 102 and/or the sensing arrangement 104 may be configured to transmit data to the CCD 106 and/or the computer 108 for display or processing of the data by the CCD 106 and/or the computer 108.
In some embodiments, the CCD 106 and/or the computer 108 may provide information to the user that facilitates the user's subsequent use of the infusion device 102. For example, the CCD 106 may provide information to the user to allow the user to determine the rate or dose of medication to be administered into the user's body. In other embodiments, the CCD 106 may provide information to the infusion device 102 to autonomously control the rate or dose of medication administered into the body of the user. In some embodiments, the sensing arrangement 104 may be integrated into the CCD 106. Such embodiments may allow the user to monitor a condition by providing, for example, a sample of his or her blood to the sensing arrangement 104 to assess his or her condition. In some embodiments, the sensing arrangement 104 and the CCD 106 may be used for determining glucose levels in the blood and/or body fluids of the user without the use of, or necessity of, a wire or cable connection between the infusion device 102 and the sensing arrangement 104 and/or the CCD 106.
In one or more exemplary embodiments, the sensing arrangement 104 and/or the infusion device 102 are cooperatively configured to utilize a closed-loop system for delivering fluid to the user. Examples of sensing devices and/or infusion pumps utilizing closed-loop systems may be found at, but are not limited to, the following U.S. Pat. Nos. 6,088,608, 6,119,028, 6,589,229, 6,740,072, 6,827,702, 7,323,142, and 7,402,153, all of which are incorporated herein by reference in their entirety. In such embodiments, the sensing arrangement 104 is configured to sense or measure a condition of the user, such as, blood glucose level or the like. The infusion device 102 is configured to deliver fluid in response to the condition sensed by the sensing arrangement 104. In turn, the sensing arrangement 104 continues to sense or otherwise quantify a current condition of the user, thereby allowing the infusion device 102 to deliver fluid continuously in response to the condition currently (or most recently) sensed by the sensing arrangement 104 indefinitely. In some embodiments, the sensing arrangement 104 and/or the infusion device 102 may be configured to utilize the closed-loop system only for a portion of the day, for example only when the user is asleep or awake.
As best illustrated in
The housing 202 is formed from a substantially rigid material having a hollow interior 214 adapted to allow an electronics assembly 204, a sliding member (or slide) 206, a drive system 208, a sensor assembly 210, and a drive system capping member 212 to be disposed therein in addition to the reservoir 205, with the contents of the housing 202 being enclosed by a housing capping member 216. The opening 220, the slide 206, and the drive system 208 are coaxially aligned in an axial direction (indicated by arrow 218), whereby the drive system 208 facilitates linear displacement of the slide 206 in the axial direction 218 to dispense fluid from the reservoir 205 (after the reservoir 205 has been inserted into opening 220), with the sensor assembly 210 being configured to measure axial forces (e.g., forces aligned with the axial direction 218) exerted on the sensor assembly 210 responsive to operating the drive system 208 to displace the slide 206. In various embodiments, the sensor assembly 210 may be utilized to detect one or more of the following: an occlusion in a fluid path that slows, prevents, or otherwise degrades fluid delivery from the reservoir 205 to a user's body; when the reservoir 205 is empty; when the slide 206 is properly seated with the reservoir 205; when a fluid dose has been delivered; when the infusion pump 200 is subjected to shock or vibration; when the infusion pump 200 requires maintenance.
Depending on the embodiment, the fluid-containing reservoir 205 may be realized as a syringe, a vial, a cartridge, a bag, or the like. In certain embodiments, the infused fluid is insulin, although many other fluids may be administered through infusion such as, but not limited to, HIV drugs, drugs to treat pulmonary hypertension, iron chelation drugs, pain medications, anti-cancer treatments, medications, vitamins, hormones, or the like. As best illustrated in
In the illustrated embodiment of
As best shown in
As illustrated in
The motor assembly 207 includes one or more electrical leads 236 adapted to be electrically coupled to the electronics assembly 204 to establish communication between the control electronics 224 and the motor assembly 207. In response to command signals from the control electronics 224 that operate a motor driver (e.g., a power converter) to regulate the amount of power supplied to the motor from a power supply, the motor actuates the drive train components of the drive system 208 to displace the slide 206 in the axial direction 218 to force fluid from the reservoir 205 along a fluid path (including tubing 221 and an infusion set), thereby administering doses of the fluid contained in the reservoir 205 into the user's body. Preferably, the power supply is realized one or more batteries contained within the housing 202. Alternatively, the power supply may be a solar panel, capacitor, AC or DC power supplied through a power cord, or the like. In some embodiments, the control electronics 224 may operate the motor of the motor assembly 207 and/or drive system 208 in a stepwise manner, typically on an intermittent basis; to administer discrete precise doses of the fluid to the user according to programmed delivery profiles.
Referring to
Referring to
In exemplary embodiments, the sensing arrangement 504 includes one or more interstitial glucose sensing elements that generate or otherwise output electrical signals having a signal characteristic that is correlative to, influenced by, or otherwise indicative of the relative interstitial fluid glucose level in the body 501 of the user. The output electrical signals are filtered or otherwise processed to obtain a measurement value indicative of the user's interstitial fluid glucose level. In exemplary embodiments, a blood glucose meter 530, such as a finger stick device, is utilized to directly sense, detect, measure or otherwise quantify the blood glucose in the body 501 of the user. In this regard, the blood glucose meter 530 outputs or otherwise provides a measured blood glucose value that may be utilized as a reference measurement for calibrating the sensing arrangement 504 and converting a measurement value indicative of the user's interstitial fluid glucose level into a corresponding calibrated blood glucose value. For purposes of explanation, the calibrated blood glucose value calculated based on the electrical signals output by the sensing element(s) of the sensing arrangement 504 may alternatively be referred to herein as the sensor glucose value, the sensed glucose value, or variants thereof.
In the illustrated embodiment, the pump control system 520 generally represents the electronics and other components of the infusion device 502 that control operation of the fluid infusion device 502 according to a desired infusion delivery program in a manner that is influenced by the sensed glucose value indicative of a current glucose level in the body 501 of the user. For example, to support a closed-loop operating mode, the pump control system 520 maintains, receives, or otherwise obtains a target or commanded glucose value, and automatically generates or otherwise determines dosage commands for operating an actuation arrangement, such as a motor 507, to displace the plunger 517 and deliver insulin to the body 501 of the user based on the difference between a sensed glucose value and the target glucose value. In other operating modes, the pump control system 520 may generate or otherwise determine dosage commands configured to maintain the sensed glucose value below an upper glucose limit, above a lower glucose limit, or otherwise within a desired range of glucose values. In practice, the infusion device 502 may store or otherwise maintain the target value, upper and/or lower glucose limit(s), and/or other glucose threshold value(s) in a data storage element accessible to the pump control system 520.
The target glucose value and other threshold glucose values may be received from an external component (e.g., CCD 106 and/or computing device 108) or be input by a user via a user interface element 540 associated with the infusion device 502. In practice, the one or more user interface element(s) 540 associated with the infusion device 502 typically include at least one input user interface element, such as, for example, a button, a keypad, a keyboard, a knob, a joystick, a mouse, a touch panel, a touchscreen, a microphone or another audio input device, and/or the like. Additionally, the one or more user interface element(s) 540 include at least one output user interface element, such as, for example, a display element (e.g., a light-emitting diode or the like), a display device (e.g., a liquid crystal display or the like), a speaker or another audio output device, a haptic feedback device, or the like, for providing notifications or other information to the user. It should be noted that although
Still referring to
In exemplary embodiments, the energy source 503 is realized as a battery housed within the infusion device 502 (e.g., within housing 202) that provides direct current (DC) power. In this regard, the motor driver module 514 generally represents the combination of circuitry, hardware and/or other electrical components configured to convert or otherwise transfer DC power provided by the energy source 503 into alternating electrical signals applied to respective phases of the stator windings of the motor 507 that result in current flowing through the stator windings that generates a stator magnetic field and causes the rotor of the motor 507 to rotate. The motor control module 512 is configured to receive or otherwise obtain a commanded dosage from the pump control system 520, convert the commanded dosage to a commanded translational displacement of the plunger 517, and command, signal, or otherwise operate the motor driver module 514 to cause the rotor of the motor 507 to rotate by an amount that produces the commanded translational displacement of the plunger 517. For example, the motor control module 512 may determine an amount of rotation of the rotor required to produce translational displacement of the plunger 517 that achieves the commanded dosage received from the pump control system 520. Based on the current rotational position (or orientation) of the rotor with respect to the stator that is indicated by the output of the rotor sensing arrangement 516, the motor control module 512 determines the appropriate sequence of alternating electrical signals to be applied to the respective phases of the stator windings that should rotate the rotor by the determined amount of rotation from its current position (or orientation). In embodiments where the motor 507 is realized as a BLDC motor, the alternating electrical signals commutate the respective phases of the stator windings at the appropriate orientation of the rotor magnetic poles with respect to the stator and in the appropriate order to provide a rotating stator magnetic field that rotates the rotor in the desired direction. Thereafter, the motor control module 512 operates the motor driver module 514 to apply the determined alternating electrical signals (e.g., the command signals) to the stator windings of the motor 507 to achieve the desired delivery of fluid to the user.
When the motor control module 512 is operating the motor driver module 514, current flows from the energy source 503 through the stator windings of the motor 507 to produce a stator magnetic field that interacts with the rotor magnetic field. In some embodiments, after the motor control module 512 operates the motor driver module 514 and/or motor 507 to achieve the commanded dosage, the motor control module 512 ceases operating the motor driver module 514 and/or motor 507 until a subsequent dosage command is received. In this regard, the motor driver module 514 and the motor 507 enter an idle state during which the motor driver module 514 effectively disconnects or isolates the stator windings of the motor 507 from the energy source 503. In other words, current does not flow from the energy source 503 through the stator windings of the motor 507 when the motor 507 is idle, and thus, the motor 507 does not consume power from the energy source 503 in the idle state, thereby improving efficiency.
Depending on the embodiment, the motor control module 512 may be implemented or realized with a general purpose processor, a microprocessor, a controller, a microcontroller, a state machine, a content addressable memory, an application specific integrated circuit, a field programmable gate array, any suitable programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof, designed to perform the functions described herein. In exemplary embodiments, the motor control module 512 includes or otherwise accesses a data storage element or memory, including any sort of random access memory (RAM), read only memory (ROM), flash memory, registers, hard disks, removable disks, magnetic or optical mass storage, or any other short or long term storage media or other non-transitory computer-readable medium, which is capable of storing programming instructions for execution by the motor control module 512. The computer-executable programming instructions, when read and executed by the motor control module 512, cause the motor control module 512 to perform or otherwise support the tasks, operations, functions, and processes described herein.
It should be appreciated that
Referring to
The pump control module 602 generally represents the hardware, circuitry, logic, firmware and/or other component of the pump control system 600 that is coupled to the communications interface 604 and configured to determine dosage commands for operating the motor 506 to deliver fluid to the body 501 based on data received from the sensing arrangement 504 and perform various additional tasks, operations, functions and/or operations described herein. For example, in exemplary embodiments, pump control module 602 implements or otherwise executes a command generation application 610 that supports one or more autonomous operating modes and calculates or otherwise determines dosage commands for operating the motor 506 of the infusion device 502 in an autonomous operating mode based at least in part on a current measurement value for a condition in the body 501 of the user. For example, in a closed-loop operating mode, the command generation application 610 may determine a dosage command for operating the motor 506 to deliver insulin to the body 501 of the user based at least in part on the current glucose measurement value most recently received from the sensing arrangement 504 to regulate the user's blood glucose level to a target reference glucose value. Additionally, the command generation application 610 may generate dosage commands for boluses that are manually-initiated or otherwise instructed by a user via a user interface element 608. For example, regardless of the operating mode being implemented, the command generation application 610 may determine a dosage command for operating the motor 506 to deliver a bolus of insulin to the body 501 of the user that corresponds to a correction bolus or meal bolus amount selected or otherwise indicated by the user via the user interface element 230, 540, 608.
Still referring to
It should be understood that
In exemplary embodiments, the control system 700 receives or otherwise obtains a target glucose value at input 702. In some embodiments, the target glucose value may be stored or otherwise maintained by the infusion device 502 (e.g., in memory 606), however, in some alternative embodiments, the target value may be received from an external component (e.g., CCD 106 and/or computer 108). In one or more embodiments, the target glucose value may be dynamically calculated or otherwise determined prior to entering the closed-loop operating mode based on one or more patient-specific control parameters. For example, the target blood glucose value may be calculated based at least in part on a patient-specific reference basal rate and a patient-specific daily insulin requirement, which are determined based on historical delivery information over a preceding interval of time (e.g., the amount of insulin delivered over the preceding 24 hours). The control system 700 also receives or otherwise obtains a current glucose measurement value (e.g., the most recently obtained sensor glucose value) from the sensing arrangement 504 at input 704. The illustrated control system 700 implements or otherwise provides proportional-integral-derivative (PID) control to determine or otherwise generate delivery commands for operating the motor 510 based at least in part on the difference between the target glucose value and the current glucose measurement value. In this regard, the PID control attempts to minimize the difference between the measured value and the target value, and thereby regulates the measured value to the desired value. PID control parameters are applied to the difference between the target glucose level at input 702 and the measured glucose level at input 704 to generate or otherwise determine a dosage (or delivery) command provided at output 730. Based on that delivery command, the motor control module 512 operates the motor 510 to deliver insulin to the body of the user to influence the user's glucose level, and thereby reduce the difference between a subsequently measured glucose level and the target glucose level.
The illustrated control system 700 includes or otherwise implements a summation block 706 configured to determine a difference between the target value obtained at input 702 and the measured value obtained from the sensing arrangement 504 at input 704, for example, by subtracting the target value from the measured value. The output of the summation block 706 represents the difference between the measured and target values, which is then provided to each of a proportional term path, an integral term path, and a derivative term path. The proportional term path includes a gain block 720 that multiplies the difference by a proportional gain coefficient, KP, to obtain the proportional term. The integral term path includes an integration block 708 that integrates the difference and a gain block 722 that multiplies the integrated difference by an integral gain coefficient, KI, to obtain the integral term. The derivative term path includes a derivative block 710 that determines the derivative of the difference and a gain block 724 that multiplies the derivative of the difference by a derivative gain coefficient, KD, to obtain the derivative term. The proportional term, the integral term, and the derivative term are then added or otherwise combined to obtain a delivery command that is utilized to operate the motor at output 730. Various implementation details pertaining to closed-loop PID control and determine gain coefficients are described in greater detail in U.S. Pat. No. 7,402,153, which is incorporated by reference.
In one or more exemplary embodiments, the PID gain coefficients are user-specific (or patient-specific) and dynamically calculated or otherwise determined prior to entering the closed-loop operating mode based on historical insulin delivery information (e.g., amounts and/or timings of previous dosages, historical correction bolus information, or the like), historical sensor measurement values, historical reference blood glucose measurement values, user-reported or user-input events (e.g., meals, exercise, and the like), and the like. In this regard, one or more patient-specific control parameters (e.g., an insulin sensitivity factor, a daily insulin requirement, an insulin limit, a reference basal rate, a reference fasting glucose, an active insulin action duration, pharmodynamical time constants, or the like) may be utilized to compensate, correct, or otherwise adjust the PID gain coefficients to account for various operating conditions experienced and/or exhibited by the infusion device 502. The PID gain coefficients may be maintained by the memory 606 accessible to the pump control module 602. In this regard, the memory 606 may include a plurality of registers associated with the control parameters for the PID control. For example, a first parameter register may store the target glucose value and be accessed by or otherwise coupled to the summation block 706 at input 702, and similarly, a second parameter register accessed by the proportional gain block 720 may store the proportional gain coefficient, a third parameter register accessed by the integration gain block 722 may store the integration gain coefficient, and a fourth parameter register accessed by the derivative gain block 724 may store the derivative gain coefficient.
Rescue Detection
In exemplary embodiments described herein, a pump control system 520, 600 is configured to detect a rescue condition which should be nonactionable in terms of insulin delivery based on the glucose measurement values obtained from the sensing arrangement 504 while autonomously operating the infusion device 502, and in response, automatically caps, limits, or otherwise restricts insulin delivery temporarily, thereby limiting the response or action that would otherwise be taken by the infusion device 502 autonomously in response to the rescue condition. Thus, when a user consumes fast-acting (or “rescue”) carbohydrates to avoid a potential hypoglycemic event while the infusion device is in a closed-loop operating mode, the pump control system 520, 600 recognizes a change in one or more characteristic(s) of the glucose measurement values indicative of a rescue condition and adjusts the autonomous operation of the infusion device in a manner that temporarily reduces insulin delivery. In this regard, once the rescue condition has expired or otherwise elapsed, the pump control system 520, 600 restores the delivery of insulin to the preceding delivery settings. Thus, the pump control system 520, 600 essentially treats a detected rescue condition a nonactionable event and alters the autonomous operation to allow the carbohydrates consumed by the user to achieve their intended effect before resuming normal or preceding regulation of the user's glucose level.
The various tasks performed in connection with the rescue management process 800 may be performed by hardware, firmware, software executed by processing circuitry, or any combination thereof. For illustrative purposes, the following description refers to elements mentioned above in connection with
Referring to
When the rescue management process 800 identifies the current glucose measurement is greater than the rescue monitoring threshold, the autonomous operation of the infusion device is maintained in its current state. For example, in a closed-loop operating mode, the pump control system 520, 600 may autonomously operate the motor 507 of the infusion device 502 to deliver a variable rate of insulin infusion based at least in part on the difference between the current sensor glucose measurement value and a target glucose value configured to regulate the sensor glucose measurement values to the target glucose value, as described above in the context of
When the rescue management process 800 identifies the current glucose measurement is less than the rescue monitoring threshold, the rescue management process 800 verifies or otherwise confirms that there has not been a meal announcement (task 806). In this regard, when a user manipulates the user interface 540, 608 to initiate a meal bolus or otherwise indicate that a meal is about to be consumed, the rescue management process 800 exits or otherwise terminates, thereby allowing the meal bolus to be delivered unimpeded and with the autonomous operating mode maintaining its current manner of glucose regulation.
In the absence of a meal announcement, the rescue management process 800 monitors or otherwise analyzes subsequent glucose measurements for one or more characteristics indicative of the user having consumed rescue carbohydrates and detects a rescue condition with the characteristic(s) violate a rescue threshold (tasks 808, 810). In exemplary embodiments, for each new glucose measurement value received during a monitoring window after detecting a glucose measurement below the monitoring threshold, the pump control system 520, 600 calculates or otherwise determines a rate of change associated with the respective glucose measurement value and detects a rescue condition when the rate of change associated with the current (or most recent) glucose measurement value exceeds a rescue threshold. For example, the pump control system 520, 600 may calculate the rate of change as the difference between the current sensor glucose measurement and the preceding sensor glucose measurement, where the rescue threshold value represents a change in glucose measurement values over successive samplings indicative of the user having consumed fast-acting rescue carbohydrates. In some embodiments, one or more of the current sensor glucose measurement, the preceding sensor glucose measurement and/or the rate of change associated with the current sensor glucose measurement may be determined by filtering a plurality of preceding glucose measurements. For example, the current sensor glucose measurement most recently received from a sensing arrangement 504 may be updated every 5 minutes, where each current sensor glucose measurement is a filtered average of five preceding output signals sampled at one minute intervals from the sensing element sensitive to a user's glucose level, resulting in a filtered measurement indicative of the user's current glucose level. Some examples of such filtering are described in U.S. patent application Ser. No. 14/281,766, which is incorporated by reference herein in its entirety.
In the absence of glucose measurements indicative of a rescue condition, the rescue management process 800 verifies or otherwise determines whether the rescue monitoring window has elapsed or expired (task 812). In this regard, the pump control system 520, 600 initiates a timer upon detecting a glucose measurement less than a rescue monitoring threshold and ceases monitoring for a rescue condition once the timer value exceeds a value corresponding to a monitoring window duration. The rescue monitoring window duration corresponds to an average duration or time period after consumption during which fast-acting rescue carbohydrates are likely to exhibit an effect on the user's sensor glucose measurement values. For example, the rescue monitoring window duration may be chosen to be 25 minutes or less. In this regard, when the rate of change between any two successive measurement values does not violate the rescue condition detection threshold within the rescue monitoring window, it may be presumed that any carbohydrates consumed were not fast-acting and therefore should be responded to in a normal manner as dictated by the current control scheme or operating mode in effect.
In the illustrated embodiment, the rescue management process 800 terminates or exits when the monitoring window has elapsed, thereby maintaining the normal autonomous operation of the infusion device. However, in other embodiments, the rescue management process 800 may repeat the task of determining whether the current glucose measurement is less than the rescue monitoring threshold after expiration of the monitoring window (task 804), and if so, the rescue management process 800 repeats the loop defined by tasks 806, 808, 810, 812 to detect or otherwise identify a potential rescue condition for as long as the glucose measurements are less than the rescue monitoring threshold upon expiration of a monitoring window. Thus, the rescue management process 800 may continue to monitor for a rescue condition for as long as the current glucose measurement is less than the rescue monitoring threshold until the user's glucose measurements rise above the rescue monitoring threshold to a more normal level.
In response to detecting a rescue condition, the rescue management process 800 automatically modifies or otherwise adjusts one or more delivery settings utilized for autonomously operating the infusion device to limit or otherwise restrict the delivery of fluid for a temporary period of time (tasks 814, 816). For example, in one embodiment, the pump control system 520, 600 modifies or otherwise adjusts the maximum delivery rate or maximum dosage associated with the autonomous operating mode from an initial value to a lower value to temporarily cap the dosage commands generated based on the user's glucose measurement values. In this regard, as a difference between the user's current or predicted glucose measurement value increases in response to the user metabolizing the rescue carbohydrates, the dosage command generated by the pump control system 520, 600 based on that difference in a closed-loop operating mode may be reduced or otherwise constrained to the maximum dosage, regardless of the magnitude of the difference. For example, the maximum delivery rate for the closed-loop operating mode may be temporarily set to a patient-specific safe basal rate of infusion, which may be a fraction of the normal maximum delivery rate for the closed-loop operating mode. In this manner, the response time for the closed-loop control is increased, thereby reducing the autonomous response or action taken in response to the rescue carbohydrates. In another embodiment, the pump control system 520, 600 modifies or otherwise adjusts values for one or more control parameters (e.g., one or more PID gain coefficients 720, 722, 724) to decrease the responsiveness of the autonomous control scheme and thereby limit the dosage or delivery rate that would otherwise be implemented in response to the rise in the user's glucose level.
In one or more embodiments, the pump control system 520, 600 automatically transitions from a closed-loop operating mode to a rescue mode having an associated maximum delivery rate (or maximum dosage) that is less than the maximum delivery rate associated with the closed-loop operating mode. In the rescue mode, the pump control system 520, 600 may continue to generate dosage commands in a manner that is influenced by the current glucose measurement value (or a predicted glucose measurement value based thereon) in a similar manner as is done in the closed-loop operating mode, albeit with the dosage commands being capped or limited to a lower maximum value. In other embodiments, the pump control system 520, 600 may generate dosage commands in a manner similar to the closed-loop operating mode, but with the dosage commands being proportionally scaled down, for example, based on the ratio of the limited maximum delivery rate to the normal closed-loop maximum delivery rate. In yet other embodiments, the rescue mode may correspond to a preexisting safe mode supported by the infusion device 502, in which case the pump control system 520, 600 automatically transitions from a closed-loop operating mode to the safe mode in response to the rescue condition. The safe mode is characterized by a reduced or limited rate of delivery of insulin relative to the normal closed-loop operating mode, for example, by having a lower maximum delivery rate, control parameters coefficients adjusted for a slower response time, or the like.
Still referring to
In exemplary embodiments, the pump control system 520, 600 also detects or otherwise identifies an exit condition in response to a meal announcement or other indication of a meal received from the user. Additionally, in one or more embodiments, the pump control system 520, 600 initiates a timer upon entering the rescue mode or otherwise initiating the limited delivery (e.g., task 816) and automatically terminating the rescue mode when the timer value exceeds a maximum threshold duration for the rescue recovery period. Thus, the pump control system 520, 600 ensures the period of limited delivery is only temporary before reverting back to the original delivery configuration for continued regulation of the user's glucose level. In an exemplary embodiment, the maximum threshold duration is a fixed duration of time that the safe (or reduced) delivery rate can be delivered without adversely affecting the glycemic outcome. That said, in other embodiments, the maximum threshold duration may be customizable or patient-specific to reflect varying physiological responses. For example, the maximum threshold duration may be chosen to be equal to a typical postprandial period required for the user's glucose level to peak after consuming rescue carbohydrates, thereby allowing the normal delivery configuration to assist in reducing the user's glucose level if the sensor glucose measurements do not exhibit a postprandial dip. In such embodiments, a patient-specific maximum threshold duration may be determined based on historical measurement data or the like to reflect each user's individual physiology and varying amount of time for reaching a postprandial peak.
It should be noted that any number of exit conditions may be monitored for and/or detected in parallel. For example, the pump control system 520, 600 may continually monitor sensor glucose measurement values and characteristics thereof for indication that the rescue condition is no longer present while also implementing a timeout period and monitoring for any potential meal announcements. By limiting the limited insulin delivery to a temporary duration, rescue carbohydrates may be allowed to achieve their intended effect without risking a potential hyperglycemic event.
After identifying an exit condition, the pump control system 520, 600 automatically restores operation of the infusion device 502 to the initial operating mode and/or the initial delivery settings prior to detecting the rescue condition. For example, the pump control system 520, 600 may restore a maximum delivery rate and/or dosage criteria associated with the closed-loop operating mode. Similarly, if other control parameters for the closed-loop operating mode were adjusted (e.g., PID gain coefficients), the pump control system 520, 600 may restore those control parameters to their initial values. In other embodiments, the pump control system 520, 600 restores the original insulin delivery by automatically transitioning from a rescue mode (or safe mode) back to the original closed-loop operating mode or other autonomous mode preceding the rescue mode. Thus, the pump control system 520, 600 may resume operating the motor 507 in a manner configured to reduce the difference between the current sensor glucose measurement from the sensing arrangement 504 and a target glucose value as described above.
To briefly summarize, the subject matter described herein allows for unannounced rescue carbohydrates consumed by a user to achieve their intended effect unimpeded by the current operating mode in effect when they were consumed by temporarily limiting the delivery of insulin. In this manner, potential hypoglycemic events are more readily avoided by consumption of rescue carbohydrates. At the same time, the period of limited delivery is itself limited, so as to not interfere with long-term regulation of the user's glucose level and provide protection from hyperglycemic events. Accordingly, better overall regulation of the user's glucose level can be achieved without requiring the user to undertake any additional actions upon consuming rescue carbohydrates (i.e., the user does not need to determine the amount of carbohydrates and make a corresponding announcement, manually suspend delivery, or the like).
For the sake of brevity, conventional techniques related to glucose sensing and/or monitoring, closed-loop glucose control, and other functional aspects of the subject matter may not be described in detail herein. In addition, certain terminology may also be used in the herein for the purpose of reference only, and thus is not intended to be limiting. For example, terms such as “first”, “second”, and other such numerical terms referring to structures do not imply a sequence or order unless clearly indicated by the context. The foregoing description may also refer to elements or nodes or features being “connected” or “coupled” together. As used herein, unless expressly stated otherwise, “coupled” means that one element/node/feature is directly or indirectly joined to (or directly or indirectly communicates with) another element/node/feature, and not necessarily mechanically.
While at least one exemplary embodiment has been presented in the foregoing detailed description, it should be appreciated that a vast number of variations exist. It should also be appreciated that the exemplary embodiment or embodiments described herein are not intended to limit the scope, applicability, or configuration of the claimed subject matter in any way. For example, the subject matter described herein is not necessarily limited to the infusion devices and related systems described herein. Moreover, the foregoing detailed description will provide those skilled in the art with a convenient road map for implementing the described embodiment or embodiments. It should be understood that various changes can be made in the function and arrangement of elements without departing from the scope defined by the claims, which includes known equivalents and foreseeable equivalents at the time of filing this patent application. Accordingly, details of the exemplary embodiments or other limitations described above should not be read into the claims absent a clear intention to the contrary.
This application claims the benefit of U.S. provisional patent application Ser. No. 62/234,471, filed Sep. 29, 2015, the entire content of which is incorporated by reference herein.
Number | Name | Date | Kind |
---|---|---|---|
3631847 | Hobbs, II | Jan 1972 | A |
4212738 | Henne | Jul 1980 | A |
4270532 | Franetzki et al. | Jun 1981 | A |
4282872 | Franetzki et al. | Aug 1981 | A |
4373527 | Fischell | Feb 1983 | A |
4395259 | Prestele et al. | Jul 1983 | A |
4433072 | Pusineri et al. | Feb 1984 | A |
4443218 | Decant, Jr. et al. | Apr 1984 | A |
4494950 | Fischell | Jan 1985 | A |
4542532 | McQuilkin | Sep 1985 | A |
4550731 | Batina et al. | Nov 1985 | A |
4559037 | Franetzki et al. | Dec 1985 | A |
4562751 | Nason et al. | Jan 1986 | A |
4671288 | Gough | Jun 1987 | A |
4678408 | Nason et al. | Jul 1987 | A |
4685903 | Cable et al. | Aug 1987 | A |
4731051 | Fischell | Mar 1988 | A |
4731726 | Allen, III | Mar 1988 | A |
4781798 | Gough | Nov 1988 | A |
4803625 | Fu et al. | Feb 1989 | A |
4809697 | Causey, III et al. | Mar 1989 | A |
4826810 | Aoki | May 1989 | A |
4871351 | Feingold | Oct 1989 | A |
4898578 | Rubalcaba, Jr. | Feb 1990 | A |
5003298 | Havel | Mar 1991 | A |
5011468 | Lundquist et al. | Apr 1991 | A |
5019974 | Beckers | May 1991 | A |
5050612 | Matsumura | Sep 1991 | A |
5078683 | Sancoff et al. | Jan 1992 | A |
5080653 | Voss et al. | Jan 1992 | A |
5097122 | Colman et al. | Mar 1992 | A |
5100380 | Epstein et al. | Mar 1992 | A |
5101814 | Palti | Apr 1992 | A |
5108819 | Heller et al. | Apr 1992 | A |
5153827 | Coutre et al. | Oct 1992 | A |
5165407 | Wilson et al. | Nov 1992 | A |
5247434 | Peterson et al. | Sep 1993 | A |
5262035 | Gregg et al. | Nov 1993 | A |
5262305 | Heller et al. | Nov 1993 | A |
5264104 | Gregg et al. | Nov 1993 | A |
5264105 | Gregg et al. | Nov 1993 | A |
5284140 | Allen et al. | Feb 1994 | A |
5299571 | Mastrototaro | Apr 1994 | A |
5307263 | Brown | Apr 1994 | A |
5317506 | Coutre et al. | May 1994 | A |
5320725 | Gregg et al. | Jun 1994 | A |
5322063 | Allen et al. | Jun 1994 | A |
5338157 | Blomquist | Aug 1994 | A |
5339821 | Fujimoto | Aug 1994 | A |
5341291 | Roizen et al. | Aug 1994 | A |
5350411 | Ryan et al. | Sep 1994 | A |
5356786 | Heller et al. | Oct 1994 | A |
5357427 | Langen et al. | Oct 1994 | A |
5368562 | Blomquist et al. | Nov 1994 | A |
5370622 | Livingston et al. | Dec 1994 | A |
5371687 | Holmes, II et al. | Dec 1994 | A |
5376070 | Purvis et al. | Dec 1994 | A |
5390671 | Lord et al. | Feb 1995 | A |
5391250 | Cheney, II et al. | Feb 1995 | A |
5403700 | Heller et al. | Apr 1995 | A |
5411647 | Johnson et al. | May 1995 | A |
5482473 | Lord et al. | Jan 1996 | A |
5485408 | Blomquist | Jan 1996 | A |
5505709 | Funderburk et al. | Apr 1996 | A |
5497772 | Schulman et al. | May 1996 | A |
5543326 | Heller et al. | Aug 1996 | A |
5569186 | Lord et al. | Oct 1996 | A |
5569187 | Kaiser | Oct 1996 | A |
5573506 | Vasko | Nov 1996 | A |
5582593 | Hultman | Dec 1996 | A |
5586553 | Halili et al. | Dec 1996 | A |
5593390 | Castellano et al. | Jan 1997 | A |
5593852 | Heller et al. | Jan 1997 | A |
5594638 | Illiff | Jan 1997 | A |
5609060 | Dent | Mar 1997 | A |
5626144 | Tacklind et al. | May 1997 | A |
5630710 | Tune et al. | May 1997 | A |
5643212 | Coutre et al. | Jul 1997 | A |
5660163 | Schulman et al. | Aug 1997 | A |
5660176 | Iliff | Aug 1997 | A |
5665065 | Colman et al. | Sep 1997 | A |
5665222 | Heller et al. | Sep 1997 | A |
5685844 | Marttila | Nov 1997 | A |
5687734 | Dempsey et al. | Nov 1997 | A |
5704366 | Tacklind et al. | Jan 1998 | A |
5750926 | Schulman et al. | May 1998 | A |
5754111 | Garcia | May 1998 | A |
5764159 | Neftel | Jun 1998 | A |
5772635 | Dastur et al. | Jun 1998 | A |
5779665 | Mastrototaro et al. | Jul 1998 | A |
5788669 | Peterson | Aug 1998 | A |
5791344 | Schulman et al. | Aug 1998 | A |
5800420 | Gross et al. | Sep 1998 | A |
5807336 | Russo et al. | Sep 1998 | A |
5814015 | Gargano et al. | Sep 1998 | A |
5822715 | Worthington et al. | Oct 1998 | A |
5832448 | Brown | Nov 1998 | A |
5840020 | Heinonen et al. | Nov 1998 | A |
5861018 | Feierbach et al. | Jan 1999 | A |
5868669 | Iliff | Feb 1999 | A |
5871465 | Vasko | Feb 1999 | A |
5879163 | Brown et al. | Mar 1999 | A |
5885245 | Lynch et al. | Mar 1999 | A |
5897493 | Brown | Apr 1999 | A |
5899855 | Brown | May 1999 | A |
5904708 | Goedeke | May 1999 | A |
5913310 | Brown | Jun 1999 | A |
5917346 | Gord | Jun 1999 | A |
5918603 | Brown | Jul 1999 | A |
5925021 | Castellano et al. | Jul 1999 | A |
5933136 | Brown | Aug 1999 | A |
5935099 | Peterson et al. | Aug 1999 | A |
5940801 | Brown | Aug 1999 | A |
5956501 | Brown | Sep 1999 | A |
5960403 | Brown | Sep 1999 | A |
5965380 | Heller et al. | Oct 1999 | A |
5972199 | Heller et al. | Oct 1999 | A |
5978236 | Faberman et al. | Nov 1999 | A |
5997476 | Brown | Dec 1999 | A |
5999848 | Gord et al. | Dec 1999 | A |
5999849 | Gord et al. | Dec 1999 | A |
6009339 | Bentsen et al. | Dec 1999 | A |
6032119 | Brown et al. | Feb 2000 | A |
6043437 | Schulman et al. | Mar 2000 | A |
6081736 | Colvin et al. | Jun 2000 | A |
6083710 | Heller et al. | Jul 2000 | A |
6088608 | Schulman et al. | Jul 2000 | A |
6101478 | Brown | Aug 2000 | A |
6103033 | Say et al. | Aug 2000 | A |
6119028 | Schulman et al. | Sep 2000 | A |
6120676 | Heller et al. | Sep 2000 | A |
6121009 | Heller et al. | Sep 2000 | A |
6134461 | Say et al. | Oct 2000 | A |
6143164 | Heller et al. | Nov 2000 | A |
6162611 | Heller et al. | Dec 2000 | A |
6175752 | Say et al. | Jan 2001 | B1 |
6183412 | Benkowski et al. | Feb 2001 | B1 |
6246992 | Brown | Jun 2001 | B1 |
6248093 | Moberg | Jun 2001 | B1 |
6259937 | Schulman et al. | Jul 2001 | B1 |
6329161 | Heller et al. | Dec 2001 | B1 |
6408330 | DeLaHuerga | Jun 2002 | B1 |
6424847 | Mastrototaro et al. | Jul 2002 | B1 |
6472122 | Schulman et al. | Oct 2002 | B1 |
6484045 | Holker et al. | Nov 2002 | B1 |
6484046 | Say et al. | Nov 2002 | B1 |
6485465 | Moberg et al. | Nov 2002 | B2 |
6503381 | Gotoh et al. | Jan 2003 | B1 |
6514718 | Heller et al. | Feb 2003 | B2 |
6544173 | West et al. | Apr 2003 | B2 |
6553263 | Meadows et al. | Apr 2003 | B1 |
6554798 | Mann et al. | Apr 2003 | B1 |
6558320 | Causey, III et al. | May 2003 | B1 |
6558351 | Steil et al. | May 2003 | B1 |
6560741 | Gerety et al. | May 2003 | B1 |
6565509 | Say et al. | May 2003 | B1 |
6579690 | Bonnecaze et al. | Jun 2003 | B1 |
6589229 | Connelly et al. | Jul 2003 | B1 |
6591125 | Buse et al. | Jul 2003 | B1 |
6592745 | Feldman et al. | Jul 2003 | B1 |
6605200 | Mao et al. | Aug 2003 | B1 |
6605201 | Mao et al. | Aug 2003 | B1 |
6607658 | Heller et al. | Aug 2003 | B1 |
6616819 | Liamos et al. | Sep 2003 | B1 |
6618934 | Feldman et al. | Sep 2003 | B1 |
6623501 | Heller et al. | Sep 2003 | B2 |
6641533 | Causey, III et al. | Nov 2003 | B2 |
6654625 | Say et al. | Nov 2003 | B1 |
6659980 | Moberg et al. | Dec 2003 | B2 |
6671554 | Gibson et al. | Dec 2003 | B2 |
6676816 | Mao et al. | Jan 2004 | B2 |
6689265 | Heller et al. | Feb 2004 | B2 |
6728576 | Thompson et al. | Apr 2004 | B2 |
6733471 | Ericson et al. | May 2004 | B1 |
6740072 | Starkweather et al. | May 2004 | B2 |
6746582 | Heller et al. | Jun 2004 | B2 |
6747556 | Medema et al. | Jun 2004 | B2 |
6749740 | Liamos et al. | Jun 2004 | B2 |
6752787 | Causey, III et al. | Jun 2004 | B1 |
6809653 | Mann et al. | Oct 2004 | B1 |
6817990 | Yap et al. | Nov 2004 | B2 |
6827702 | Lebel et al. | Dec 2004 | B2 |
6881551 | Heller et al. | Apr 2005 | B2 |
6892085 | McIvor et al. | May 2005 | B2 |
6893545 | Gotoh et al. | May 2005 | B2 |
6895263 | Shin et al. | May 2005 | B2 |
6916159 | Rush et al. | Jul 2005 | B2 |
6932584 | Gray et al. | Aug 2005 | B2 |
6932894 | Mao et al. | Aug 2005 | B2 |
6942518 | Liamos et al. | Sep 2005 | B2 |
7153263 | Carter et al. | Dec 2006 | B2 |
7153289 | Vasko | Dec 2006 | B2 |
7323142 | Pendo et al. | Jan 2008 | B2 |
7396330 | Banet et al. | Jul 2008 | B2 |
7402153 | Steil et al. | Jul 2008 | B2 |
7621893 | Moberg et al. | Nov 2009 | B2 |
8474332 | Bente, IV | Jul 2013 | B2 |
8674288 | Hanson et al. | Mar 2014 | B2 |
20010044731 | Coffman et al. | Nov 2001 | A1 |
20020013518 | West et al. | Jan 2002 | A1 |
20020055857 | Mault et al. | May 2002 | A1 |
20020082665 | Haller et al. | Jun 2002 | A1 |
20020137997 | Mastrototaro et al. | Sep 2002 | A1 |
20020161288 | Shin et al. | Oct 2002 | A1 |
20030060753 | Starkweather | Mar 2003 | A1 |
20030060765 | Campbell et al. | Mar 2003 | A1 |
20030078560 | Miller et al. | Apr 2003 | A1 |
20030088166 | Say et al. | May 2003 | A1 |
20030144581 | Conn et al. | Jul 2003 | A1 |
20030152823 | Heller | Aug 2003 | A1 |
20030176183 | Drucker et al. | Sep 2003 | A1 |
20030188427 | Say et al. | Oct 2003 | A1 |
20030199744 | Buse et al. | Oct 2003 | A1 |
20030208113 | Mault et al. | Nov 2003 | A1 |
20030220552 | Reghabi et al. | Nov 2003 | A1 |
20040061232 | Shah et al. | Apr 2004 | A1 |
20040061234 | Shah et al. | Apr 2004 | A1 |
20040064133 | Miller et al. | Apr 2004 | A1 |
20040064156 | Shah et al. | Apr 2004 | A1 |
20040073095 | Causey, III et al. | Apr 2004 | A1 |
20040074785 | Holker et al. | Apr 2004 | A1 |
20040093167 | Braig et al. | May 2004 | A1 |
20040097796 | Berman et al. | May 2004 | A1 |
20040102683 | Khanuja et al. | May 2004 | A1 |
20040111017 | Say et al. | Jun 2004 | A1 |
20040122353 | Shahmirian et al. | Jun 2004 | A1 |
20040167465 | Mihai et al. | Aug 2004 | A1 |
20040263354 | Mann et al. | Dec 2004 | A1 |
20050038331 | Silaski et al. | Feb 2005 | A1 |
20050038680 | McMahon et al. | Feb 2005 | A1 |
20050154271 | Rasdal et al. | Jul 2005 | A1 |
20050192557 | Brauker et al. | Sep 2005 | A1 |
20060229694 | Schulman et al. | Oct 2006 | A1 |
20060238333 | Welch et al. | Oct 2006 | A1 |
20060293571 | Bao et al. | Dec 2006 | A1 |
20070088521 | Shmueli et al. | Apr 2007 | A1 |
20070135866 | Baker et al. | Jun 2007 | A1 |
20080154503 | Wittenber et al. | Jun 2008 | A1 |
20090081951 | Erdmann et al. | Mar 2009 | A1 |
20090082635 | Baldus et al. | Mar 2009 | A1 |
20140066886 | Roy | Mar 2014 | A1 |
20150165117 | Palerm et al. | Jun 2015 | A1 |
20150165119 | Palerm et al. | Jun 2015 | A1 |
20150217051 | Mastrototaro et al. | Aug 2015 | A1 |
20150328402 | Nogueira et al. | Nov 2015 | A1 |
Number | Date | Country |
---|---|---|
4329229 | Mar 1995 | DE |
0319268 | Nov 1988 | EP |
0806738 | Nov 1997 | EP |
0880936 | Dec 1998 | EP |
1338295 | Aug 2003 | EP |
1631036 | Mar 2006 | EP |
2218831 | Nov 1989 | GB |
WO 9620745 | Jul 1996 | WO |
WO 9636389 | Nov 1996 | WO |
WO 9637246 | Nov 1996 | WO |
WO 9721456 | Jun 1997 | WO |
WO 9820439 | May 1998 | WO |
WO 9824358 | Jun 1998 | WO |
WO 9842407 | Oct 1998 | WO |
WO 9849659 | Nov 1998 | WO |
WO 9859487 | Dec 1998 | WO |
WO 9908183 | Feb 1999 | WO |
WO 9910801 | Mar 1999 | WO |
WO 9918532 | Apr 1999 | WO |
WO 9922236 | May 1999 | WO |
WO 0010628 | Mar 2000 | WO |
WO 0019887 | Apr 2000 | WO |
WO 0048112 | Aug 2000 | WO |
WO 02058537 | Aug 2002 | WO |
WO 03001329 | Jan 2003 | WO |
WO 03094090 | Nov 2003 | WO |
WO 2005065538 | Jul 2005 | WO |
Entry |
---|
PCT Search Report (PCT/US02/03299), dated Oct. 31, 2002, Medtronic Minimed, Inc. |
(Animas Corporation, 1999). Animas . . . bringing new life to insulin therapy. |
Bode B W, et al. (1996). Reduction in Severe Hypoglycemia with Long-Term Continuous Subcutaneous Insulin Infusion in Type I Diabetes. Diabetes Care, vol. 19, No. 4, 324-327. |
Boland E (1998). Teens Pumping it Up! Insulin Pump Therapy Guide for Adolescents. 2nd Edition. |
Brackenridge B P (1992). Carbohydrate Gram Counting a Key to Accurate Mealtime Boluses in Intensive Diabetes Therapy. Practical Diabetology, vol. 11, No. 2, pp. 22-28. |
Brackenridge, B P et al. (1995). Counting Carbohydrates How to Zero in on Good Control. MiniMed Technologies Inc. |
Farkas-Hirsch R et al. (1994). Continuous Subcutaneous Insulin Infusion: A Review of the Past and Its Implementation for the Future. Diabetes Spectrum From Research to Practice, vol. 7, No. 2, pp. 80-84, 136-138. |
Hirsch I B et al. (1990). Intensive Insulin Therapy for Treatment of Type I Diabetes. Diabetes Care, vol. 13, No. 12, pp. 1265-1283. |
Kulkarni K et al. (1999). Carbohydrate Counting a Primer for Insulin Pump Users to Zero in on Good Control. MiniMed Inc. |
Marcus A O et al. (1996). Insulin Pump Therapy Acceptable Alternative to Injection Therapy. Postgraduate Medicine, vol. 99, No. 3, pp. 125-142. |
Reed J et al. (1996). Voice of the Diabetic, vol. 11, No. 3, pp. 1-38. |
Skyler J S (1989). Continuous Subcutaneous Insulin Infusion [CSII] With External Devices: Current Status. Update in Drug Delivery Systems, Chapter 13, pp. 163-183. Futura Publishing Company. |
Skyler J S et al. (1995). The Insulin Pump Therapy Book Insights from the Experts. MiniMed⋅Technologies. |
Strowig S M (1993). Initiation and Management of Insulin Pump Therapy. The Diabetes Educator, vol. 19, No. 1, pp. 50-60. |
Walsh J, et al. (1989). Pumping Insulin: The Art of Using an Insulin Pump. Published by MiniMed⋅Technologies. |
(Intensive Diabetes Management, 1995). Insulin Infusion Pump Therapy. pp. 66-78. |
Disetronic My Choice™ D-TRON™ Insulin Pump Reference Manual. (no date). |
Disetronic H-TRON® plus Quick Start Manual. (no date). |
Disetronic My Choice H-TRONplus Insulin Pump Reference Manual. (no date). |
Disetronic H-TRON® plus Reference Manual. (no date). |
(MiniMed, 1996). The MiniMed 506. 7 pages. Retrieved on Sep. 16, 2003 from the World Wide Web: http://web.archive.org/web/19961111054527/www.minimed.com/files/506_pic.htm. |
(MiniMed, 1997). MiniMed 507 Specifications. 2 pages. Retrieved on Sep. 16, 2003 from the World Wide Web: http://web.archive.org/web/19970124234841/www.minimed.com/files/mmn075.htm. |
(MiniMed, 1996). FAQ: The Practical Things . . . pp. 1-4. Retrieved on Sep. 16, 2003 from the World Wide Web: http://web.archive.org/web/19961111054546/www.minimed.com/files/faq_pract.htm. |
(MiniMed, 1997). Wanted: a Few Good Belt Clips! 1 page. Retrieved on Sep. 16, 2003 from the World Wide Web: http://web.archive.org/web/19970124234559/www.minimed.com/files/mmn002.htm. |
(MiniMed Technologies, 1994). MiniMed 506 Insulin Pump User's Guide. |
(MiniMed Technologies, 1994). MiniMed™ Dosage Calculator Initial Meal Bolus Guidelines / MiniMed™ Dosage Calculator Initial Basal Rate Guidelines Percentage Method. 4 pages. |
(MiniMed, 1996). MiniMed™ 507 Insulin Pump User's Guide. |
(MiniMed, 1997). MiniMed™ 507 Insulin Pump User's Guide. |
(MiniMed, 1998). MiniMed 507C Insulin Pump User's Guide. |
(MiniMed International, 1998). MiniMed 507C Insulin Pump for those who appreciate the difference. |
(MiniMed Inc., 1999). MiniMed 508 Flipchart Guide to Insulin Pump Therapy. |
(MiniMed Inc., 1999). Insulin Pump Comparison / Pump Therapy Will Change Your Life. |
(MiniMed, 2000). MiniMed® 508 User's Guide. |
(MiniMed Inc., 2000). MiniMed® Now [I] Can Meal Bolus Calculator / MiniMed® Now [I] Can Correction Bolus Calculator. |
(MiniMed Inc., 2000). Now [I] Can MiniMed Pump Therapy. |
(MiniMed Inc., 2000). Now [I] Can MiniMed Diabetes Management. |
(Medtronic MiniMed, 2002). The 508 Insulin Pump A Tradition of Excellence. |
(Medtronic MiniMed, 2002). Medtronic MiniMed Meal Bolus Calculator and Correction Bolus Calculator. International Version. |
Abel, P., et al., “Experience with an implantable glucose sensor as a prerequiste of an artificial beta cell,” Biomed. Biochim. Acta 43 (1984) 5, pp. 577-584. |
Bindra, Dilbir S., et al., “Design and in Vitro Studies of a Needle-Type Glucose Sensor for a Subcutaneous Monitoring,” American Chemistry Society, 1991, 63, pp. 1692-1696. |
Boguslavsky, Leonid, et al., “Applications of redox polymers in biosensors,” Sold State Ionics 60, 1993, pp. 189-197. |
Geise, Robert J., et al., “Electropolymerized 1,3-diaminobenzene for the construction of a 1,1′-dimethylferrocene mediated glucose biosensor,” Analytica Chimica Acta, 281, 1993, pp. 467-473. |
Gernet, S., et al., “A Planar Glucose Enzyme Electrode,” Sensors and Actuators, 17, 1989, pp. 537-540. |
Gernet, S., et al., “Fabrication and Characterization of a Planar Electromechanical Cell and its Application as a Glucose Sensor,” Sensors and Actuators, 18, 1989, pp. 59-70. |
Gorton, L., et al., “Amperometric Biosensors Based on an Apparent Direct Electron Transfer Between Electrodes and Immobilized Peroxiases,” Analyst, Aug. 1991, vol. 117, pp. 1235-1241. |
Gorton, L., et al., “Amperometric Glucose Sensors Based on Immobilized Glucose-Oxidizing Enymes and Chemically Modified Electrodes,” Analytica Chimica Acta, 249, 1991, pp. 43-54. |
Gough, D. A., et al., “Two-Dimensional Enzyme Electrode Sensor for Glucose,” Analytical Chemistry, vol. 57, No. 5, 1985, pp. 2351-2357. |
Gregg, Brian A., et al., “Cross-Linked Redox Gels Containing Glucose Oxidase for Amperometric Biosensor Applications,” Analytical Chemistry, 62, pp. 258-263. |
Gregg, Brian A., et al., “Redox Polymer Films Containing Enzymes. 1. A Redox-Conducting Epoxy Cement: Synthesis, Characterization, and Electrocatalytic Oxidation of Hydroquinone,” The Journal of Physical Chemistry, vol. 95, No. 15, 1991, pp. 5970-5975. |
Hashiguchi, Yasuhiro, MD, et al., “Development of a Miniaturized Glucose Monitoring System by Combining a Needle-Type Glucose Sensor With Microdialysis Sampling Method,” Diabetes Care, vol. 17, No. 5, May 1994, pp. 387-389. |
Heller, Adam, “Electrical Wiring of Redox Enzymes,” Acc. Chem. Res., vol. 23, No. 5, May 1990, pp. 128-134. |
Jobst, Gerhard, et al., “Thin-Film Microbiosensors for Glucose-Lactate Monitoring,” Analytical Chemistry, vol. 68, No. 18, Sep. 15, 1996, pp. 3173-3179. |
Johnson, K.W., et al., “In vivo evaluation of an electroenzymatic glucose sensor implanted in subcutaneous tissue,” Biosensors & Bioelectronics, 7, 1992, pp. 709-714. |
Jönsson, G., et al., “An Electromechanical Sensor for Hydrogen Peroxide Based on Peroxidase Adsorbed on a Spectrographic Graphite Electrode,” Electroanalysis, 1989, pp. 465-468. |
Kanapieniene, J. J., et al., “Miniature Glucose Biosensor with Extended Linearity,” Sensors and Actuators, B. 10, 1992, pp. 37-40. |
Kawamori, Ryuzo, et al., “Perfect Normalization of Excessive Glucagon Responses to Intraveneous Arginine in Human Diabetes Mellitus With the Artificial Beta-Cell,” Diabetes vol. 29, Sep. 1980, pp. 762-765. |
Kimura, J., et al., “An Immobilized Enzyme Membrane Fabrication Method,” Biosensors 4, 1988, pp. 41-52. |
Koudelka, M., et al., “In-vivo Behaviour of Hypodermically Implanted Microfabricated Glucose Sensors,” Biosensors & Bioelectronics 6, 1991, pp. 31-36. |
Koudelka, M., et al., “Planar Amperometric Enzyme-Based Glucose Microelectrode,” Sensors & Actuators, 18, 1989, pp. 157-165. |
Mastrototaro, John J., et al., “An electroenzymatic glucose sensor fabricated on a flexible substrate,” Sensors & Actuators, B. 5, 1991, pp. 139-144. |
Mastrototaro, John J., et al., “An Electroenzymatic Sensor Capable of 72 Hour Continuous Monitoring of Subcutaneous Glucose,” 14th Annual International Diabetes Federation Congress, Washington D.C., Jun. 23-28, 1991. |
McKean, Brian D., et al., “A Telemetry-Instrumentation System for Chronically Implanted Glucose and Oxygen Sensors,” IEEE Transactions on Biomedical Engineering, Vo. 35, No. 7, Jul. 1988, pp. 526-532. |
Monroe, D., “Novel Implantable Glucose Sensors,” ACL, Dec. 1989, pp. 8-16. |
Morff, Robert J., et al., “Microfabrication of Reproducible, Economical, Electroenzymatic Glucose Sensors,” Annuaal International Conference of teh IEEE Engineering in Medicine and Biology Society, Vo. 12, No. 2, 1990, pp. 483-484. |
Moussy, Francis, et al., “Performance of Subcutaneously Implanted Needle-Type Glucose Sensors Employing a Novel Trilayer Coating,” Analytical Chemistry, vol. 65, No. 15, Aug. 1, 1993, pp. 2072-2077. |
Nakamoto, S., et al., “A Lift-Off Method for Patterning Enzyme-Immobilized Membranes in Multi-Biosensors,” Sensors and Actuators 13, 1988, pp. 165-172. |
Nishida, Kenro, et al., “Clinical applications of teh wearable artifical endocrine pancreas with the newly designed needle-type glucose sensor,” Elsevier Sciences B.V., 1994, pp. 353-358. |
Nishida, Kenro, et al., “Development of a ferrocene-mediated needle-type glucose sensor covereed with newly designd biocompatible membrane, 2-methacryloyloxyethylphosphorylcholine-co-n-butyl nethacrylate,” Medical Progress Through Technology, vol. 21, 1995, pp. 91-103. |
Poitout, V., et al., “A glucose monitoring system for on line estimation oin man of blood glucose concentration using a miniaturized glucose sensor implanted in the subcutaneous tissue adn a wearable control unit,” Diabetologia, vol. 36, 1991, pp. 658-663. |
Reach, G., “A Method for Evaluating in vivo the Functional Characteristics of Glucose Sensors,” Biosensors 2, 1986, pp. 211-220. |
Shaw, G. W., et al., “In vitro testing of a simply constructed, highly stable glucose sensor suitable for implantation in diabetic patients,” Biosensors & Bioelectronics 6, 1991, pp. 401-406. |
Shichiri, M., “A Needle-Type Glucose Sensor—A Valuable Tool Not Only for a Self-Blood Glucose Monitoring but for a Wearable Artifiical Pancreas,” Life Support Systems Proceedings, XI Annual Meeting ESAO, Alpbach-Innsbruck, Austria, Sep. 1984, pp. 7-9. |
Shichiri, Motoaki, et al., “An artificial endocrine pancreas—problems awaiting solution for long-term clinical applications of a glucose sensor,” Frontiers Med. Biol. Engng., 1991, vol. 3, No. 4, pp. 283-292. |
Shichiri, Motoaki, et al., “Closed-Loop Glycemic Control with a Wearable Artificial Endocrine Pancreas—Variations in Daily Insulin Requirements to Glycemic Response,” Diabetes, vol. 33, Dec. 1984, pp. 1200-1202. |
Shichiri, Motoaki, et al., “Glycaemic Control in a Pacreatectomized Dogs with a Wearable Artificial Endocrine Pancreas,” Diabetologia, vol. 24, 1983, pp. 179-184. |
Shichiri, M., et al., “In Vivo Characteristics of Needle-Type Glucose Sensor—Measurements of Subcutaneous Glucose Concentrations in Human Volunteers,” Hormone and Metabolic Research, Supplement Series vol. No. 20, 1988, pp. 17-20. |
Shichiri, M., et al., “Membrane design for extending the long-life of an implantable glucose sensor,” Diab. Nutr. Metab., vol. 2, No. 4, 1989, pp. 309-313. |
Shichiri, Motoaki, et al., “Normalization of the Paradoxic Secretion of Glucagon in Diabetes Who Were Controlled by the Artificial Beta Cell,” Diabetes, vol. 28, Apr. 1979, pp. 272-275. |
Shichiri, Motoaki, et al., “Telemetry Glucose Monitoring Device with Needle-Type Glucose Sensor: A useful Tool for Blood Glucose Monitoring in Diabetic Individuals,” Diabetes Care, vol. 9, No. 3, May-Jun. 1986, pp. 298-301. |
Shichiri, Motoaki, et al., “Wearable Artificial Endocrine Pancreas with Needle-Type Glucose Sensor,” The Lancet, Nov. 20, 1982, pp. 1129-1131. |
Shichiri, Motoaki, et al., “The Wearable Artificial Endocrine Pancreas with a Needle-Type Glucose Sensor: Perfect Glycemic Control in Ambulatory Diabetes,” Acta Paediatr Jpn 1984, vol. 26, pp. 359-370. |
Shinkai, Seiji, “Molecular Recognitiion of Mono- and Di-saccharides by Phenylboronic Acids in Solvent Extraction and as a Monolayer,” J. Chem. Soc., Chem. Commun., 1991, pp. 1039-1041. |
Shults, Mark C., “A Telemetry-Instrumentation System for Monitoring Multiple Subcutaneously Implanted Glucose Sensors,” IEEE Transactions on Biomedical Engineering, vol. 41, No. 10, Oct. 1994, pp. 937-942. |
Sternberg, Robert, et al., “Study and Development of Multilayer Needle-type Enzyme-based Glucose Microsensors,” Biosensors, vol. 4, 1988, pp. 27-40. |
Tamiya, E., et al., “Micro Glucose Sensors using Electron Mediators Immobilized on a Polypyrrole-Modified Electrode,” Sensors and Actuators, vol. 18, 1989, pp. 297-307. |
Tsukagoshi, Kazuhiko, et al., “Specific Complexation with Mono- and Disaccharides that can be Detected by Circular Dichroism,” J. Org. Chem., vol. 56, 1991, pp. 4089-4091. |
Urban, G., et al., “Miniaturized multi-enzyme biosensors integrated with pH sensors on flexible polymer carriers for in vivo applciations,” Biosensors & Bioelectronics, vol. 7, 1992, pp. 733-739. |
Ubran, G., et al., “Miniaturized thin-film biosensors using covalently immobilized glucose oxidase,” Biosensors & Bioelectronics, vol. 6, 1991, pp. 555-562. |
Velho, G., et al., “In vivo calibration of a subcutaneous glucose sensor for determination of subcutaneous glucose kinetics,” Diab. Nutr. Metab., vol. 3, 1988, pp. 227-233. |
Wang, Joseph, et al., “Needle-Type Dual Microsensor for the Simultaneous Monitoring of Glucose and Insulin,” Analytical Chemistry, vol. 73, 2001, pp. 844-847. |
Yamasaki, Yoshimitsu, et al., “Direct Measurement of Whole Blood Glucose by a Needle-Type Sensor,” Clinics Chimica Acta, vol. 93, 1989, pp. 93-98. |
Yokoyama, K., “Integrated Biosensor for Glucose and Galactose,” Analytica Chimica Acta, vol. 218, 1989, pp. 137-142. |
Number | Date | Country | |
---|---|---|---|
20170087300 A1 | Mar 2017 | US |
Number | Date | Country | |
---|---|---|---|
62234471 | Sep 2015 | US |