Embodiments of the subject matter described herein relate generally to medical devices, and more particularly, embodiments of the subject matter relate to detecting insertion site conditions 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 patient with diabetes glucose levels, 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.
In practice, it is advisable for the infusion set being utilized with the infusion device to be changed or replaced periodically to prevent infection. To mitigate tissue resistance and maintain effectiveness of insulin absorption, it is also advisable to periodically change or vary the location where the infusion set is inserted into the body, also known as the insertion site. Failure to timely change the infusion set or the insertion site can have undesirable physiological consequences, such as a potential hyperglycemic event. Accordingly, patients have typically been instructed to replace infusion sets within a fixed period of time (e.g., every 2 to 3 days) that attempts to ensure preemptive replacement that provides a safety margin in advance of the time of when a particular infusion set at a particular insertion site is likely to lose effectiveness. Preemptively replacing an infusion set can be beneficial for safety purposes, but it may also result in some infusion sets being replaced prematurely when it could otherwise be desirable to maximize the lifetime of the infusion set. For example, patients who are traveling, have a limited supply of infusion sets on hand, do not have immediate access to an infusion set, or experiencing other extenuating circumstances may prefer to avoid having to replace an infusion set according to a fixed schedule.
Additionally, some patients may forget to replace or rotate their infusion set. While providing reminders based on a fixed period of time may be effective, some patients may disregard or ignore the messages based on a perception that the infusion set is still functioning normally. Accordingly, there is a need to prolong the usable lifetime of an infusion set while also ensuring that patients are notified in a timely manner before any adverse events.
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 obtaining, from a sensing arrangement providing sensed measurements of the physiological condition in the body of the user, one or more measurement values during an initial monitoring period and determining a fasting reference value for a metric based on the one or more measurement values. After the initial monitoring period, the method continues by obtaining, from the sensing arrangement, an updated measurement value during a fasting period, determining a current value for the metric based at least in part on the updated measurement value, and generating a notification in response to a deviation between the current value and the fasting reference value exceeding a threshold.
Another embodiment of operating an infusion device operable to deliver insulin to a body of a patient involves obtaining, from a sensing arrangement, sensed glucose measurement values of a glucose level in the body of the patient during fasting periods during an initial period after initialization of an infusion set associated with the infusion device, determining a fasting amount of insulin in the body of the patient during the fasting periods, and determining a reference insulin estimate for achieving a reference glucose value based at least in part on the fasting amount of insulin and the sensed glucose measurement values. After the initial period, the method continues by obtaining, from the sensing arrangement, an updated glucose measurement value during a subsequent fasting period, determining a current amount of insulin in the body of the patient, determining a current insulin estimate for achieving the reference glucose value based at least in part on the current amount of insulin and the updated glucose measurement value, and generating an insertion site notification based on a relationship between the current insulin estimate and the reference insulin estimate.
In another embodiment, an apparatus of an infusion device is provided. The infusion device includes a communications interface to receive sensed measurements of a physiological condition in a body of a user, a fluid interface providing fluid communication with an infusion set to deliver fluid influencing the physiological condition to the body of the user, a user interface, and a control module coupled to the communications interface and the user interface. The control module is configurable to obtain one or more fasting measurement values for the physiological condition from the sensed measurements corresponding to fasting periods during an initial period of a lifetime of the infusion set, determine a fasting reference value for a metric based on the one or more fasting measurement values, and after the initial period, obtain an updated measurement value from the sensed measurements corresponding to a subsequent fasting period, determine a current value for the metric based at least in part on the updated measurement value, and provide a notification via the user interface based on a difference between the current value and the fasting reference value.
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, 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 infusion systems including a fluid infusion device having a motor or other actuation arrangement 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 patient (or 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
In exemplary embodiments, during an initial monitoring period after an infusion set is initialized or changed, the infusion device obtains sensed glucose measurement values that are coincident with, contemporaneous to, or otherwise temporally correspond to any fasting periods within the initial monitoring period and determines a fasting value for a reference metric based on those fasting measurement values corresponding to fasting periods. Depending on the embodiment, the fasting reference value may be an average fasting glucose measurement value over the fasting periods within the initial monitoring period, an estimated amount of insulin needed for achieving a target glucose value based on the fasting glucose measurement values, or some other metric that is a function of the glucose measurement values corresponding to the fasting periods within the initial monitoring period.
After the initial monitoring period, the sensed glucose measurement values obtained by the infusion device during subsequent fasting periods are utilized to determine an updated (or current) fasting value for the reference metric based on those recently sensed glucose measurement values that are coincident with, contemporaneous to, or otherwise temporally correspond to a subsequent fasting period. The current fasting value for the reference metric is compared to the fasting reference value determined based on the fasting sensor data from the initial monitoring period, and in response to a deviation between the current fasting value and the fasting reference value that exceeds a threshold, a notification is generated that indicates that the patient needs to replace, rotate, inspect, or otherwise attend to the infusion set.
It should be noted that although the subject matter may be described herein primarily in the context of the infusion device receiving and monitoring measurement values, the subject matter is not necessarily limited to implementation by the infusion device. In practice, the subject matter may be implemented in an equivalent manner by any other electronic or computing device that is communicatively coupled to at least one of the sensing arrangement and the infusion device and capable of receiving sensed measurement values for the patient as described below.
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, a 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 (e.g., via a drive system 508) 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. Additionally, in exemplary embodiments described herein, the pump control module 602 also implements or otherwise executes an insertion site monitoring application 612 that supports monitoring sensed glucose measurement values received via the sensing arrangement 504, analyzing the efficacy of the current infusion set or current insertion site based on the sensed glucose measurement values, and generating user notifications or alerts provided to the patient or user via the user interface element 608, as described in greater detail below in the context of
Still referring to
Depending on the embodiment, the pump control module 602 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 this regard, the steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in firmware, in a software module executed by the pump control module 602, or in any practical combination thereof. In exemplary embodiments, the pump control module 602 includes or otherwise accesses the data storage element or memory 606, which may be realized using any sort of non-transitory computer-readable medium capable of storing programming instructions for execution by the pump control module 602. The computer-executable programming instructions, when read and executed by the pump control module 602, cause the pump control module 602 to implement or otherwise generate the applications 610, 612 and perform the tasks, operations, functions, and processes described in greater detail below.
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.
Insertion Site Loss Detection
As described above, in exemplary embodiments described herein, measurement values from a sensing arrangement 104, 504 are utilized to determine whether an insertion site loss has occurred and provide corresponding notifications regarding use of the current infusion set and/or the current insertion site. In this regard, insertion site loss should be understood as referring to a condition where sensed glucose measurement values indicate the effectiveness of the current configuration of infusion set and insertion site has decreased to the point that a new infusion set and/or new insertion site should be utilized to avoid potential adverse events. For example, in response to detecting an insertion site loss condition, an infusion device 102, 502 may generate an alert that indicates that the infusion set 225 should be replaced and rotated to a new insertion site.
It should be noted that insertion site notifications may be provided using any number of devices of an infusion system 100, 500. For example, one or more graphical user interface (GUI) notifications may be generated or provided on any one of the infusion device 102, 200, 502 (e.g., display element 226, user interface element 540, 608, or the like), the sensing arrangement 104, 504, the computer 106, and/or the CCD 108. That said, for purposes of explanation, the subject matter may be described herein primarily in the context of the pump control system 520, 600 of the infusion device 102, 200, 502 generating the insertion site notifications; however, it should be appreciated that various aspects of the processes described below in the context of
In exemplary embodiments, the site monitoring process 800 is performed whenever a new infusion set is initialized and inserted in the body of a patient at an insertion site. The site monitoring process 800 monitors sensed measurement values during an initial monitoring period corresponding to an initial phase of the lifetime of the infusion set (e.g., the first 48 hours or the like), detects or identifies fasting conditions during that initial monitoring period, and then determines a fasting reference value for the infusion set based on the sensed measurement values coincident with, concurrent to, or otherwise temporally corresponding to fasting periods during the initial monitoring period. As described in greater detail below, a fasting period should be understood as referring to a window of time during which a fasting condition exists and the sensed glucose measurement values are relatively steady and not overly susceptible to variations due to insulin that remains active in the body of the patient.
The site monitoring process 800 detects or otherwise identifies a fasting condition by verifying or otherwise identifying when delivery of fluid by an infusion device is not currently suspended, when there are no active alerts or notification, and when a meal or bolus has not occurred within a threshold period of time (tasks 802, 804, 806, 808). In this regard, the monitoring application 612 may interact with one or more of the command generation application 610, the memory 606, and/or another application or process executed by the pump control module 602 to obtain information or data characterizing current delivery status and verify that the delivery of fluid is not currently suspended. For example, the monitoring application 612 may monitor a flag bit having a value that is set by the command generation application 610 to indicate whether the delivery is enabled (e.g., a logical low or ‘0’ bit value) or suspended (e.g., a logical high or ‘1’ bit value). After verifying delivery is not suspended, the monitoring application 612 may similarly interact with one or more of the command generation application 610, the memory 606, and/or another application or process executed by the pump control module 602 to obtain information or data characterizing current user interface status and verify that there is not an active alert or user notification presented by a user interface element 608.
After verifying delivery is not suspended and that there are no active alerts, the monitoring application 612 obtains historical bolus data from memory 606, which includes information or data characterizing the timing of boluses previously delivered by the infusion device 502 or meals manually announced, entered or otherwise input to the infusion device 502 by the patient or another user. In some embodiments, meals may also be automatically detected by the pump control module 602 based on sensed measurement values or other data. Based on the historical bolus and meal data, the monitoring application 612 verifies that the patient has not consumed a meal or administered a bolus within a threshold period of time (e.g., within the preceding 5 hours), and therefore, is likely to be fasting.
In exemplary embodiments, the site monitoring process 800 also verifies or otherwise confirms the physiological condition in the body of the patient is substantially constant or steady before detecting or identifying a fasting period for determining a fasting reference value (task 810). In this regard, the monitoring application 612 may verify or otherwise confirm that variations in the sensed measurement values over a preceding time interval are within a threshold range. For example, in one embodiment, the monitoring application 612 verifies that variations in sensed glucose measurement values over the preceding two hours of time is less than 20 milligrams per deciliter (mg/dL). Additionally, in exemplary embodiments, the monitoring application 612 also calculates or otherwise determines an estimated plasma insulin in the body of the patient and verifies or otherwise confirms the plasma insulin rate of change is less than a threshold value. In this regard, the monitoring application 612 ensures any lingering active insulin in the body of the patient is not unduly influencing sensed glucose measurement values during the fasting period. As used herein, the estimated plasma insulin should be understood as referring to an estimation of the concentration of the total insulin present in a patient's blood (including both basal and bolus insulin delivered) and the estimated plasma insulin rate of change corresponds to the rate of change of the total insulin concentration in the patient's blood. Here, it should also be noted that in practical embodiments, the equations utilized to estimate plasma insulin may vary depending on the type(s) of insulin being utilized to account for the rate or speed at which the insulin acts.
In one embodiment, the monitoring application 612 calculates or otherwise determines an estimated plasma insulin using the equation:
where s is the Laplace transform variable, Id(s) is the insulin delivered in units per hour (U/h), and Ip(s) is the estimated plasma insulin in units per hour. In this regard, the estimated plasma insulin rate of change corresponds to the derivative of the estimated plasma insulin equation. In one or more exemplary embodiments, the monitoring application 612 obtains historical delivery data from the command generation application 610 and/or the memory 606 which indicates the respective timing and amounts of insulin delivered by the infusion device 102, 502 over a preceding period of time, and then calculates or otherwise determines the rate of insulin delivered (Id(s)) in units per hour at discrete instances over a preceding duration of time (e.g., the preceding two hours) based on the historical delivery data. Using the insulin delivered, the monitoring application 612 calculates or otherwise determines the estimated plasma insulin (Ip(s)) at discrete instances over the preceding duration of time, and then determines the estimated plasma insulin rate of change between discrete estimated plasma insulin values over the preceding duration of time, and verifies that the difference between the minimum and maximum estimated plasma insulin rate of change values for that preceding duration is less than a threshold value. In this regard, a difference between minimum and maximum estimated plasma insulin rate of change values that exceeds the threshold value indicates that the sensed glucose measurement values are susceptible to variations due to the plasma insulin in the body of the user.
In one or more embodiments, the threshold value for the estimated plasma insulin rate of change is calculated as a function of the patient's total daily insulin requirement. For example, in one embodiments, the monitoring application 612 verifies the deviation in the between the minimum and maximum estimated plasma insulin rate of change values over the preceding two hours is less than a threshold value calculated using the following equation:
where TDI is the patient's total daily insulin requirement. The patient's total daily insulin requirement may also be calculated or determined by the monitoring application 612 based on historical insulin delivery data, such as, for example, the mean or median amount of insulin delivered per 24-hour time window over a preceding interval (e.g., the median amount of insulin per 24 hours during the preceding week). In other embodiments, the patient's total daily insulin requirement could be input or otherwise provided by a user. In other embodiments, the threshold value is calculated as a function of the patient's basal infusion rate. For example, in one embodiment, the monitoring application 612 verifies the deviation in the between the minimum and maximum estimated plasma insulin rate of change values over the preceding two hours is less than ten percent of the patient's basal rate. In yet other embodiments, the threshold value may be calculated as a function of another reference infusion rate for the patient (e.g., a minimum or maximum infusion rate limit associated with a particular operating mode).
When variations in the measurement values for the physiological condition in the body of the patient as well as variations in other metric(s) characterizing the physiological condition in the body of the patient are less than applicable thresholds or otherwise within an acceptable range, the site monitoring process 800 detects or otherwise identifies a fasting period suitable for determining a fasting value for a reference metric. Thereafter, whenever the patient consumes a meal, delivery is suspended, an alert is generated, or the patient's glucose level or metrics thereof become variable, the site monitoring process 800 determines the current fasting period is over and reverts to monitoring for another fasting period.
Still referring to
After detecting a fasting period, when the site monitoring process 800 determines the lifetime of the infusion set exceeds a threshold lifetime, the site monitoring process 800 continues by monitoring for a site loss condition using the sensed measurement values obtained for the fasting period(s) during the initial portion of the infusion set's lifetime (task 816). In this regard, the monitoring application 612 calculates or otherwise determines one or more fasting reference values based on the obtained sensed measurement values corresponding to the fasting period(s) during the initial period of the infusion set's lifetime. As described in greater detail below in the context of the site loss detection process 900 of
In exemplary embodiments, the site loss detection process 900 is performed once the lifetime of the current infusion set is greater than an initialization period over which reference fasting sensed measurement values are obtained (e.g., task 816). For example, in one or more embodiments, the site loss detection process 900 is performed once the lifetime of an infusion set is greater than forty-eight hours. The site loss detection process 900 calculates or otherwise determines one or more fasting reference measurement values based on sensed measurement values obtained during fasting periods within the initialization period of the infusion set (task 902). For example, in one embodiment, the monitoring application 612 calculates an average fasting sensor glucose level for the patient by averaging the sensed glucose measurement values obtained from the sensing arrangement 104, 504 during the fasting period(s) (e.g., task 814) that occurred during the initial forty-eight hours of the infusion set's usage (e.g., task 812).
In another embodiment, the monitoring application 612 calculates an estimated amount of insulin needed to achieve a target blood glucose level from the patient's fasting blood glucose level. In practice, the target blood glucose level may be a limit associated with an autonomous operating mode supported by the infusion device 102, 502, and in some embodiments, may be patient-specific. For example, in one embodiment, the target blood glucose level may be an upper glucose limit associated with a closed-loop operating mode. In another embodiment, the target blood glucose level may be the same target or reference glucose value associated with the closed-loop operating mode. The estimated amount of insulin needed to achieve a target blood glucose level may be calculated using the equation:
where FBG is the fasting sensor glucose level, FBGT is the target blood glucose level, TDI is the patient's total daily insulin requirement, and Ip(t) is the estimated plasma insulin as described above. Thus, in one embodiment, to determine a reference estimated amount of insulin during fasting periods, the monitoring application 612 calculates or otherwise determines estimated plasma insulin values for the fasting period(s) during the initialization period and calculates the reference estimated amount of insulin as a function of the average estimated fasting plasma insulin values during the initialization period and the average fasting sensor glucose level during the initialization period. In some embodiments, the reference estimated amount of insulin at fasting may be calculated or otherwise determined substantially in real-time during the initialization period and dynamically updated on a rolling basis to obtain a moving average over the initialization period having a final value that corresponds to the fasting reference value.
After determining a fasting reference value, the site loss detection process 900 continues by identifying or otherwise determining when a fasting period exists, and in response to detecting a fasting period, obtains a current sensed measurement value, calculates or otherwise determines an updated (or current) value for the reference metric based on the current sensed measurement value, and then detects or identifies a site loss condition based on the difference between the updated reference metric value and the fasting reference value (tasks 904, 906, 908, 910). In a similar manner as described above in the context of
In exemplary embodiments, the monitoring application 612 detects or otherwise identifies a site loss condition when the difference between the fasting reference value and the current or updated value for the reference metric deviates from the fasting reference value by more than a threshold percentage. For example, in one embodiment, the monitoring application 612 detects a site loss condition when the updated reference metric value is more than thirty percent greater than the fasting reference value. In such embodiments, if the current estimated amount of insulin needed to achieve the target blood glucose level is greater than the fasting reference estimated amount of insulin by more than thirty percent, a site loss condition is detected. Similarly, in embodiments where the glucose level is utilized as the reference metric, a site loss condition may be detected if the current sensed glucose measurement value is greater than the average of the sensed glucose measurement values from the fasting period(s) during the initialization period by more than thirty percent.
Still referring to
In one or more exemplary embodiments, the site loss detection process 900 is persistently performed once the lifetime of an infusion set exceeds a threshold amount. In this regard, while an initial insertion site loss notification may be cleared by a patient after inspecting the insertion site, the site loss detection process 900 may generate additional site loss notifications during subsequent fasting periods to provide continual reminders to the patient throughout the lifetime of the infusion set. Thus, if the patient chooses not to replace the infusion set initially, the patient may be subsequently apprised of the fact that the action taken in response to a preceding notification was not effective at resolving the discrepancy between the current reference metric values and the fasting reference value from the initialization period. Accordingly, the likelihood of the patient utilizing the infusion set for a prolonged duration or other potential adverse events is reduced.
By virtue of the subject matter described herein, a more flexible replacement schedule for infusion sets (and corresponding insertion site rotation) may be adopted, thereby allowing infusion sets to be used for a longer duration rather than replace preemptively. At the same time, infusion sets requiring relatively early replacement may also be alerted when a site loss condition is detected rather than waiting for a fixed time period to elapse after insertion. Site loss notifications may also reduce or eliminate the need for patients to monitor or track the lifetime of the current infusion set, thereby reducing the burden on patients and improving the user experience without compromising patient outcomes.
For the sake of brevity, conventional techniques related to glucose sensing and/or monitoring, closed-loop glucose control, sensor calibration, electrical signals and related processing, user interfaces, alerting, 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.
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 |
616261 | 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 |
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 |
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 |
PCTUS0203299 | Oct 2002 | WO |
WO 03001329 | Jan 2003 | WO |
WO 03094090 | Nov 2003 | WO |
WO 2005065538 | Jul 2005 | WO |
WO 2013033025 | Mar 2013 | WO |
Entry |
---|
Neha J. Parikh, Methods for Providing Sensor Site Rotation Feedback and Related Infusion Devices and Systems, U.S. Appl. No. 15/240,720, filed Aug. 18, 2016. |
(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 (1993). 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 Theropy 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 anti 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 Electrocalalytic 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 Wring 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 & Bioelectronks 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. |
Marzia Cescon, et al: “Early Detection of Infusion Set Failure During Insulin Pump Therapy in Type 1 Diabetes”, Journal of Diabetes Science and Technology, vol. 10, No. 6, Sep. 12, 2016 (Sep. 12, 2016), pp. 1268-1276, XP055442304, US ISSN: 1932-2968, DOI: 10.1177/1932296816663962. |
Nihat Baysal, et al: “Detectng Sensor and Insulin Infusion Set Anomalies in an Artificial Pancreas”, 2013 American Control Conference (ACC), IEEE, Jun. 17, 2013 (Jun. 17, 2013), pp. 2929-2933, XP032476248, ISSN: 0743-1619, DOI: 10.1109/ACC.2013.6580279. |
Number | Date | Country | |
---|---|---|---|
20180177946 A1 | Jun 2018 | US |