55 results about "Insulin infusion" patented technology

The invention provides an intelligent insulin closed-loop infusion system for type 1 diabetes mellitus, and relates to the technical field of diabetes mellitus treatment equipment. The system comprises a blood glucose monitoring module, a control module, an insulin infusion module, a user interaction module, a wireless communication module and a power module, and closed-loop precise infusion of insulin is achieved through cooperation of the multiple modules. Wherein a closed-loop algorithm based on a dynamic basic rate formula is arranged in the control module, and the insulin infusion amount can be dynamically adjusted in combination with an LSTM blood glucose prediction model and a metabolic parameter least square method updating unit; the insulin infusion module adopts a micro peristaltic pump controlled by PWM (Pulse Width Modulation) and a current monitoring type blockage detection unit, so that the infusion precision and safety are guaranteed. According to the system, the blood glucose standard reaching time proportion can be increased to 78%, the hypoglycemia occurrence frequency is reduced to 0.8 times per week, the system is remarkably superior to a traditional insulin pump and a simple closed-loop system, meanwhile, the system has the advantages of being long in sensor service life and low in power consumption, and the treatment convenience and safety of type 1 diabetes patients are improved.

A method of administering insulin to a patient to achieve and maintain euglycemia is disclosed. The method includes administering insulin to the patient at a drip rate that is based on a current blood glucose level of the patient and a weight of the patient. Insulin is administered during an initial phase, a transition phase (during which blood glucose level decreases slower than during the initial phase), and a maintenance phase. During the maintenance phase, the method includes adjusting the drip rate periodically based on a current drip rate and a percentage change in blood glucose level during a period of time. In addition, the maintenance phase considers a lookback period in which the drip rate is adjusted based on trends during the lookback period.

Methods, systems, and devices for regulating blood glucose such as implantable encapsulated devices optionally with insulin and / or glucagon secreting cells in combination with glucose sensors and insulin infusion systems. For example, encapsulation devices may be connected to an insulin infusion pump for distribution of insulin. The insulin infusion pump may feature an insulin pouch fluidly connected to an insulin pump (or a syringe) and a glucose sensor separate from the encapsulation device. The system may feature an additional implantable device comprising insulin and glucagon secreting cells.

The invention discloses an insulin infusion device for a diabetic patient and a control method, and relates to the technical field of medical instruments, a pump body in the device comprises a liquid medicine channel and a two-section type propelling mechanism connected with the liquid medicine channel in a sealed mode, and the two-section type propelling mechanism comprises a first-stage propelling mechanism, a second-stage propelling mechanism and a third-stage propelling mechanism which are sequentially and coaxially arranged in a nested mode, the driving rod, the first propelling lead screw and the second propelling lead screw are arranged on the base and are in threaded connection with one another, and the rotating motion of the driving rod is converted into axial motion of the first propelling lead screw and the second propelling lead screw; the stage switching detection assembly is used for detecting the displacement state of the first propelling screw rod and outputting a stage switching signal; the locking mechanism responds to a signal, and the driving rod and the first propelling lead screw are connected in a locking mode to enable the driving rod and the first propelling lead screw to rotate jointly. In the first stage, the efficiency requirement of large-dose infusion is met; in the second stage, precise propelling is achieved through the small screw pitch, and the precision requirement of small-dose infusion is met.

This invention discloses a novel centralized remote insulin infusion management method and system, relating to the field of diabetes telemedicine technology. The invention employs a dual-platform architecture separating monitoring and intervention, with the cloud server and dedicated monitoring station as independent cloud subsystems. A persistent WebSocket connection is established between the cloud and the execution terminal to complete identity verification and communication key negotiation. Remote commands are sequentially checked for legality and concurrent conflicts, and command issuance is controlled by a distributed concurrent lock at specified time intervals to prevent deadlock. After completing local security verification, the execution terminal forwards the command to the insulin pump, synchronizing the execution status to the cloud and management terminal in real time, achieving closed-loop control throughout the entire process. This invention significantly improves the real-time performance and security of remote insulin infusion, overcoming the shortcomings of traditional SMS remote control solutions, such as cumbersome processes, unreliable communication, and inability to adapt to centralized management.

The application discloses a closed-loop artificial pancreas insulin infusion control system, which comprises a detection module, a program module and an infusion module.The detection module is used for continuously detecting a current blood glucose value G.The program module is connected with the detection module, and a mixed artificial pancreas algorithm is preset in the program module, which is used for calculating an insulin infusion amount required by a user.The mixed artificial pancreas algorithm comprises a cPID algorithm and / or a cMPC algorithm.The input of the cPID algorithm is an intermediate value of the MPC algorithm, and the input of the cMPC algorithm is an output value of the PID algorithm.The infusion module is connected with the program module, and the program module sends the insulin infusion amount to the infusion module, and the infusion module infuses insulin according to the insulin infusion amount.Through deep combination of the PID algorithm and the MPC algorithm, the advantages of the PID algorithm and the MPC algorithm are fully utilized, the infusion result is more accurate and reliable, and the precise control of the closed-loop artificial pancreas insulin infusion system is realized.

Techniques disclosed herein related to controlling insulin delivery. In some embodiments, the techniques may involve delivering insulin via an insulin infusion device according to a closed-loop mode of delivery. The techniques may further involve determining, at a first time point, insulin delivery is to be switched from the closed-loop mode of delivery to a second mode of delivery. The techniques may further involve switching operation of the insulin infusion device to the second mode of delivery such that insulin is delivered via the insulin infusion device according to the second mode of delivery.

A method for controlling glucose in a flexibly configured dual-hormone artificial pancreas, which manages optional meal and / or exercise notifications using coordinated control actions, comprising the steps of: measuring a plasma glucose signal; calculating the increase (y) of the plasma glucose measurement; defining a model for the increase in plasma glucose; defining carbohydrate intake depending on the carbohydrate content estimated by the patient; and calculating the expected postprandial increase (y) of plasma glucose depending on the administered insulin bolus. * (s) step of defining the increase in corrected plasma glucose TIFF2026529166000143.tif69, corrected insulin infusion volume TIFF2026529166000144.tif59, and adjusted carbohydrate intake Steps to define TIFF2026529166000145.tif69; control action μ r and antagonistic control action μ cr The steps include defining a virtual control action μ(s) divided into and and a nominal value prefilter F r A method comprising the step of calculating a control action using a two-degree-of-freedom (2-DOF) feedback controller having (s).

The application discloses a personalized closed-loop artificial pancreas system, which comprises a detection module (100) for continuously detecting blood glucose values of a patient, an infusion module (102) for infusing insulin into the patient, and a program module (101) for controlling the detection module (100) and the infusion module (102). The program module (101) generates insulin infusion instructions according to the blood glucose values detected by the detection module (100) and controls the infusion module (102) to perform infusion. The program module (101) comprises a user interface. In response to an input of the patient, the program module (101) executes a corresponding meal mode function. The meal mode comprises a high-carbohydrate mode and a normal-carbohydrate meal mode. According to the input of the patient, the program module (101) executes the function of the high-carbohydrate mode or the normal-carbohydrate mode, so as to be applicable to people with different carbohydrate consumption habits, improve the adaptability of the closed-loop artificial pancreas to different people, and enable people with different carbohydrate consumption habits to maintain a satisfactory blood glucose control effect.

A personalized closed-loop infusion system and method. Relevant information of patients is uploaded to a cloud server (104), and is grouped on the basis of identifiable features of the patients; the relevant information of different patients, such as blood glucose data records and insulin infusion data records, is compared in a same group; and when the relevant information of the patients is the same or similar, insulin algorithm parameters of patients with well-controlled blood glucose can be used for modifying an insulin algorithm of patients with poorly-controlled blood glucose, and a closed-loop artificial pancreas system can quickly obtain personalized insulin algorithms suitable for the patients without the need of long-period learning of physiological characteristics and lifestyle habits of the patients, thereby benefiting diabetes treatment of the patients.

This application relates to a mobile control device, a device control method, and a computer program product. The mobile control device includes a first graphical element in its graphical user interface for receiving user-inputted high-dose infusion parameters. A first infusion limit in the memory limits the total sum of first high-dose infusion parameters input by the user within a preset time period, and a second infusion limit limits the total sum of second high-dose infusion parameters input by the user within a single day. A processor executes an early warning program: based on different comparison results between the total sum of first high-dose infusion parameters and the first infusion limit, and combined with different comparison results between the total sum of second high-dose infusion parameters and the second infusion limit, the processor controls the second graphical element to display different levels of infusion warnings. This improves the standardization and safety of insulin infusion when the user controls the insulin infusion device.

To provide a closed-loop blood glucose control system and method.SOLUTION: A control device (30) for determining a recommendation value of a control parameter of an insulin infusion device (20).SELECTED DRAWING: Figure 1

This invention discloses a closed-loop infusion system and method based on food image recognition. An imaging module acquires food images, and a food image recognition model analyzes these images to obtain food data. An insulin algorithm determines the patient's postprandial insulin infusion volume based on the food data and simulates the patient's postprandial blood glucose. While the artificial pancreas infuses insulin, real-time blood glucose data is monitored. The real-time blood glucose data is compared with the simulated blood glucose data, and the comparison results are used to correct the parameters of the insulin algorithm, making it more suitable for patients. This improves the accuracy and adaptability of the insulin algorithm and benefits the treatment of diabetes.

A method, system, and computer readable medium for a dual mode closed loop control (CLC) system is provided that integrates each of (i) an adaptive, individualized model predictive control (MPC) control law that adjusts the control strength of insulin infusion as a function of recent past control actions, glucose measurements, and derivatives thereof, (ii) an automatic bolus priming system (BPS) that commands an extra insulin injection upon detection of a viable metabolic condition (e.g., an unannounced meal), and (iii) a hyperglycemia mitigation system (HMS) to avoid pervasive hyperglycemia.

The invention discloses a pen type insulin syringe with digital display and data transmission functions. The pen type insulin syringe comprises a shell assembly, a refill sleeve, a shell lock, a dose adjusting knob, a hollow penetrating contact type rotary encoder, an injection driving mechanism, a dose memory display module, an injection dose indication window and an NFC data transmission system. When the device works, the dose adjusting knob is pulled out in the axial direction of the shell assembly, locking of the clamping structure on the dose adjusting knob is relieved, the dose adjusting knob is made to rotate freely, then the hollow penetrating contact type rotary encoder is driven by the dose adjusting knob to conduct dose adjustment, and after dose parameter setting is completed, the injection button is pressed in the axial direction, so that the dose parameter setting is completed. The injection driving mechanism is triggered to move along a preset track so as to push the medicament to complete the injection process. High-precision digital control and intelligent data management in the insulin infusion process are achieved, the accuracy of dose adjustment and injection is remarkably improved, and the convenience of user operation experience and medication compliance management is also optimized.

The invention relates to the technical field of medical equipment, and discloses a diabetic insulin infusion device which comprises a mounting shell, a medicine storage shell is fixedly mounted in the middle of the top end of the mounting shell, a containing cavity used for containing insulin is formed in the medicine storage shell, and a protective shell is detachably connected to one side of the top of the mounting shell; a driving motor is fixedly mounted on the inner side of the protective shell, a fixed seat is fixedly connected to the inner bottom wall of the capacity cavity, a movable rod is slidably connected to an inner through hole of the fixed seat, a rotating shaft is movably connected to the interior of the capacity cavity through a bearing, and a driving part is fixedly connected to the middle side of the exterior of the rotating shaft; and the inner side of the driving piece is rotationally connected with a hinge rod. Through the targeted anti-blocking design, the continuity and smoothness of insulin delivery in the infusion tube can be continuously guaranteed, abnormal blood glucose fluctuation caused by infusion interruption and the risk of hypoglycemia caused by blind supplementary infusion after blockage is removed are avoided, and the stability and accuracy of insulin infusion are remarkably improved.

The fluid conveying equipment comprises a medicine storage device, a rotating sleeve, a ratchet wheel, a ratchet wheel transmission part and a power assembly, and a piston rod of the medicine storage device is sleeved with the rotating sleeve in a threaded connection mode; the ratchet wheel is mounted on the rotating sleeve in a circumferential limiting manner; the ratchet wheel transmission part is elastically clamped on the tooth surface of the ratchet wheel; the power assembly is in transmission connection with the ratchet wheel transmission part and used for driving the ratchet wheel transmission part to do reciprocating rectilinear motion so as to drive the ratchet wheel to rotate in the single circumferential direction. According to the fluid conveying equipment, transmission of infusion control over liquid medicine in the medicine storage device can be achieved through one ratchet wheel, so that the structure of the fluid conveying equipment can be simplified, the size is reduced, and the control precision and reliability of the fluid conveying equipment in the working process are improved.

A method, system, and computer-readable medium are provided for a dual mode closed loop control (CLC) system that integrates each of (i) an adaptive, personalized model predictive control (MPC) control law that adjusts the control intensity of insulin infusion according to recent past control actions, glucose measurements, and derivatives thereof, and (ii) an adaptive, personalized model predictive control (MPC) control law that adjusts the control intensity of insulin infusion according to the recent past control actions, glucose measurements, and derivatives thereof. In one embodiment, the system includes (i) an insulin injection system (e.g., an automated meal dose initiation system (BPS) that commands additional insulin injection upon detection of viable metabolic conditions (e.g., unnotified feeding), and (iii) a hyperglycemia relief system (HMS) to avoid prevalent hyperglycemia.

This application relates to an interface display method, system, central station, readable storage medium, and program product, applied to a blood glucose monitoring system. The method includes: responding to a user-inputted multi-bed observation mode command, controlling the display interface of the blood glucose monitoring system to display multiple display segments; after each display segment completes device binding operations with a blood glucose monitoring device and an insulin infusion device, controlling the information display area in the display segment to display blood glucose measurement values ​​collected during the operation of the blood glucose monitoring device and insulin infusion information implemented during the operation of the insulin infusion device; in the event that at least one abnormal event is detected during the operation of the blood glucose monitoring device and / or insulin infusion device, obtaining alarm reminder information to be displayed according to abnormal event alarm rules; and controlling the alarm display area in the display segment to display the alarm reminder information. This method reduces the maintenance workload caused by the dispersion of devices and data by integrating the management of different devices.

The application discloses a closed-loop artificial pancreas insulin infusion control system, which comprises a detection module, an infusion module, a program module and an electronic module.The detection module is used for continuously detecting the current blood glucose value in a user's body; the infusion module comprises an infusion processor, a second processor and a program module; the infusion processor is used for calculating a first insulin infusion amount I1 according to the current blood glucose value by a first algorithm; the second processor is used for calculating a second insulin infusion amount I2 according to the current blood glucose value by a second algorithm; the program module is connected with the detection module and used for controlling the detection module and the infusion module; and the electronic module is used for optimizing and calculating the first insulin infusion amount I1 and the second insulin infusion amount I2 by a third algorithm to obtain a final insulin infusion amount I3, and sending the final insulin infusion amount I3 to the infusion module, so that the infusion module performs insulin infusion according to the final infusion amount I3.Through further processing of the result, the infusion result is more accurate and reliable, and the precise control of the closed-loop artificial pancreas insulin infusion system is realized.

The invention discloses a closed-loop artificial pancreas system which comprises a detection module used for continuously detecting the blood glucose level of a patient; the infusion module is used for infusing insulin into the body of the patient; the program module is used for controlling the detection module and the infusion module, at least according to the blood glucose value detected by the detection module, the program module generates an insulin infusion instruction and controls the infusion module to conduct infusion, the system adopts an infusion strategy of pre-infusion and supplementary infusion, the pre-infusion insulin amount is related to the pre-infusion meal amount, and the supplementary infusion amount is related to the pre-infusion meal amount. The supplementary infusion insulin amount is related to the meal amount estimated during supplementary infusion, the meal amount does not need to be determined clearly, the system determines the to-be-infused insulin amount according to the estimated meal amount, on one hand, the pressure for accurately determining the meal amount is relieved, and on the other hand, the meal amount can be accurately determined; meanwhile, the dynamic influence on the blood glucose level after dining and infusion of a large dosage is considered, and the infusion strategy of pre-infusion and supplementary infusion is adopted, so that the blood glucose level of a patient is kept at an ideal level.

A method of improving glycemic control is provided. The method includes stimulating a cutaneous distribution of a subject's vagus nerve within the subject's ear with a nerve stimulating signal. The method also includes monitoring the subject's blood glucose. The method further includes administering insulin infusions to the subject.

A method, system, and computer-readable medium are provided for a dual mode Closed-Loop Control (CLC) system integrating each of (i) an adaptive, personalized Model Predictive Control (MPC) control law that modulates the control strength of insulin infusion depending on recent past control actions, glucose measurements, and their derivative(s), (ii) an automatic Bolus Priming System (BPS) that commands additional insulin injections upon the detection of enabling metabolic conditions (e.g., an unannounced meal), and (iii) a hyperglycemia mitigation system (HMS) to avoid prevailing hyperglycemia.

The invention discloses an insulin pump control method and system based on blood glucose data, and relates to the technical field of insulin infusion control, and the method comprises the steps: obtaining real-time blood glucose sequence data and historical infusion record data, and carrying out the preprocessing; constructing an insulin pharmacokinetic attenuation model to calculate an in-transit insulin residual activity value; inputting the standardized blood glucose time series data into a Bayesian neural network prediction model to generate prediction uncertainty distribution parameters; calculating a prediction confidence index according to the prediction variance and comparing the prediction confidence index with a threshold value to obtain a confidence judgment result; selecting a dose optimization strategy or a conservative control strategy according to a confidence coefficient judgment result to calculate an insulin infusion dose; infusion is executed, and historical records are updated; the prediction uncertainty is quantified through the Bayesian neural network, the in-transit insulin activity is accurately modeled in combination with the pharmacokinetic model, and the control strategy is dynamically switched according to the confidence, so that the control error amplification caused by prediction misjudgment is effectively avoided, and the delayed hypoglycemia caused by the insulin superposition effect is prevented.

A method for improving blood glucose control of a hybrid controller meal and exercise announcement by substituting patient-initiated meal boluses of said hybrid controller by an automatic insulin correction signal without retuning of said hybrid controller, and by incorporating rescue carbohydrates suggestion for hypoglycemia mitigation, comprising the steps of measuring a plasma glucose (G(t)) signal by means of a continuous glucose monitor (CGM), calculating a glucose level (Ĝ(t)) by using a glucose-insulin model; computing a disturbance term d(t), generating a virtual signal uIMC(t), for mitigating the effect of d(t) on the output, by means of an IMC filter Q(s) and converting the virtual signal uIMC(t) into three feed forward actions: insulin infusion, rescue carbohydrate suggestion, and insulin-on-board reduction.

The invention discloses an insulin pump control system, which belongs to the technical field of medical equipment and comprises a multi-modal data acquisition module, a hierarchical prediction control module, an intelligent infusion module, a safety redundancy module, a data encryption transmission module and a user interaction module. The multi-modal data acquisition module simultaneously acquires physiological parameters, environmental parameters and behavior parameters, the hierarchical prediction control module outputs a predicted blood glucose value based on an LSTM neural network, the intelligent infusion module dynamically adjusts the insulin infusion rate according to a prediction result, and the safety redundancy module performs mutual inspection through double controllers. If monitoring is abnormal, triggering sound-light alarm and stopping insulin infusion. The insulin pump control system aims at solving the technical problems that an existing system is incomplete in parameter coverage and weak in prediction capacity, and accurate prediction of blood glucose, dynamic adaptation infusion and full-link data safety control are achieved.

The invention relates to the technical field of parameter adjustment, in particular to a self-adaptive dynamic parameter adjustment insulin infusion method and system, which comprises the following steps: acquiring equipment data of a patient and unifying a time axis, extracting key physiological indexes and classifying a current state, predicting a blood glucose trend to form an adjustment expectation, adjusting an injection speed to generate a parameter group and uploading the parameter group to a cloud, and updating a synchronization strategy according to a frequency threshold value, writing a parameter instruction based on doctor suggestions, and finishing remote updating of the injection parameter set. According to the method, the physiological state of the current period is clearly classified by means of the deep neural network structure, consistency comparison is carried out based on the trend direction and the current injection rate, dynamic adjustment of the injection rate is carried out in combination with the exercise intensity and calorie intake information of the specific time period, and the response accuracy of insulin infusion is improved; combined updating of feedback parameters and a continuous period is completed at a remote doctor end, and the stability and safety of overall blood glucose regulation are improved.

The application discloses a closed-loop artificial pancreas insulin infusion control system, which comprises a detection module, a program module connected with the detection module, an rMPC algorithm and a target blood glucose value G pre-set in the program module, and an infusion module. B The rMPC algorithm converts blood glucose in an original physical space which is asymmetric into blood glucose in an approximate symmetric risk space, can retain the characteristics of considering the changing short-term effects of a classical MPC algorithm, consider the asymmetry of blood glucose distribution, has the advantages of precision and flexibility, and realizes precise control of the closed-loop artificial pancreas insulin infusion system.

Methods and apparatuses for performing an insulin infusion process are described. For example, an apparatus may include at least one memory and logic coupled to the at least one memory. The logic may operate to determine a basal parameter for a patient based on a type 2 diabetes (T2D) multiple daily injection (MDI) information of the patient, the basal parameter indicating a basal infusion rate, determine an additional insulin (Iadd) value based on a mean blood glucose difference (BGdiff) information associated with the patient, determine an insulin volume to infuse into the patient based on the basal parameter and Iadd, and administer the insulin volume to the patient. Other embodiments are described.

The present invention relates to a method of controlling glucose in a flexible structure dual hormone artificial pancreas, the method managing optional meal and / or exercise alerts by means of coordinated control behavior, the method comprising: measuring a plasma glucose signal; calculating an incremental plasma glucose measure (y); defining an incremental plasma glucose model; defining carbohydrate uptake as a carbohydrate content estimated depending on the patient; defining an expected postprandial incremental plasma glucose according to the administered insulin bolus; defining a corrected incremental plasma glucose, a corrected insulin infusion, and a corrected carbohydrate uptake; defining a virtual control behavior, which is allocated between a regulatory behavior and an anti-regulatory behavior; and calculating the control behavior with a 2-DOF feedback controller having a pre-filter having a nominal value s).