44 results about "Artificial pancreas" patented technology

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.

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 invention discloses an automatic detection method based on the change rate of the difference between the actual blood glucose values, including: obtaining an actual blood glucose value of the user at the current time; obtaining a historical actual blood glucose value of the user at the previous time, and calculate a difference between the actual blood glucose values at the current time and at the previous time; calculating a change rate of the difference between the actual blood glucose values at the current time; and comparing the change rate of the difference between the actual blood glucose values at the current time with a preset threshold, and determining an event type based on the comparing result. Based on the determined event type, the artificial pancreas can automatically adjust the corresponding infusion strategy to achieve closed-loop control of the artificial pancreas.

The invention relates to a device for distributing and receiving a population of pancreatic islets heterogeneous in size, the device comprising a matrix having a first face opposite a second face, characterized in that the matrix comprises concentric channels centered on a center O, the channels have an opening for receiving the pancreatic cells, the opening leading out onto the first face, the opening extending over the entire length (L) of the channel, the opening having a width (I) taken along the section Si, the device being configured such that the widths of the opening of two adjacent channels have an equal or increasing value moving away from the center O and such that the widths of the opening of a channel closest to the center O and of a channel furthest from the center O have an increasing value moving away from the center O. The invention relates to the field of implantable devices, in particular artificial pancreas devices.

The invention discloses a closed-loop artificial pancreas device with integrated detection and infusion, comprising: infusion unit configured to deliver drugs; program unit comprising input end and output end, and the input end comprises a plurality of electrically connective regions for receiving signals of analyte data in the body fluid, after the output end is electrically connected to the infusion unit, according to the received signals of analyte data in the body fluid, the program unit controls whether the infusion unit delivers drugs; an infusion cannula with conductive area, the infusion cannula is the drug infusion channel; and a plurality of electrodes for detecting analyte data in body fluid, the electrode comprising conductive-area electrode and cannula-wall electrode, the conductive area of the infusion cannula being at least as a conductive-area electrode, and one or more cannula-wall electrodes being located on / in the wall of the infusion cannula.

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.

Exemplary embodiments described herein relate to a closed loop artificial pancreas system. The artificial pancreas system seeks to automatically and continuously control the blood glucose level of a user by emulating the endocrine functionality of a healthy pancreas. The artificial pancreas system uses a closed loop control system with a cost function. The penalty function helps to bound the infusion rate of insulin to attempt to avoid hypoglycemia and hyperglycemia. However, unlike conventional systems that use a generic or baseline parameter for a user's insulin needs in a cost function, the exemplary embodiments may use a customized parameter in the cost function that reflects the individualized insulin needs of the user. The use of the customized parameter causes the cost function to result in insulin dosages over time better suited to the individualized insulin needs of the user. This helps to better avoid hypoglycemia and hyperglycemia.

The application discloses a closed-loop artificial pancreas medicine infusion control system, which comprises an infusion module for outputting medicine, a program module, an input end and an output end of the program module, a plurality of electric connection areas of the input end for receiving a current blood glucose value, an algorithm preset in the program module, the output end and the infusion module being electrically connected, the algorithm calculating a required medicine amount of a user according to the received current blood glucose value, the program module controlling the infusion module to output the medicine according to the calculated required medicine amount of the user, and an infusion hose provided with at least two detection electrodes, the infusion hose being a medicine infusion channel, the electrodes being arranged on a pipe wall of the infusion hose, the infusion hose being communicated with the infusion module when the infusion hose is installed to a working position, the medicine flowing to the body through the infusion hose, and the different electrodes being electrically connected with different electric connection areas respectively to input the current blood glucose value into the program module. The algorithm is used to realize accurate control of the closed-loop artificial pancreas medicine infusion system.

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.

The invention discloses a miniature closed-loop artificial pancreas system, comprising: infusion unit configured to deliver drugs; program unit comprising input end and output end, and the input end comprises a plurality of electrically connective regions for receiving signals of analyte data in the body fluid, after the output end is electrically connected to the infusion unit, according to the received signals of analyte data in the body fluid, the program unit controls whether the infusion unit delivers drugs; an infusion cannula with conductive area, the infusion cannula is the drug infusion channel; and a plurality of electrodes for detecting analyte data in body fluid, the electrode comprising conductive-area electrode and cannula-wall electrode, and one or more cannula-wall electrodes being located on / in the wall of the infusion cannula. It takes only one insertion to perform both analyte detection and drug infusion.

The application discloses a full-closed-loop artificial pancreas medicine infusion control system, which comprises a program module, at least one detection module, a hypoglycemic medicine infusion module and a hyperglycemic medicine infusion module. An algorithm is preset in the program module, the detection module detects blood glucose values, the hypoglycemic medicine infusion module performs hypoglycemic medicine infusion according to infusion instructions calculated by the algorithm, the hyperglycemic medicine infusion module performs hyperglycemic medicine infusion according to infusion instructions calculated by the algorithm, and full-closed-loop control of artificial pancreas system medicine infusion is realized.

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.

The application discloses a closed-loop artificial pancreas medicine infusion control system, which comprises an infusion module for outputting medicine, a program module, an input end and an output end of the program module, a plurality of electric connection areas of the input end for receiving a current blood glucose value, an algorithm of the program module for calculating a required medicine amount of a user, the output end and the infusion module being electrically connected, the program module controlling the infusion module to output medicine according to the calculated required medicine amount of the user, and an infusion hose provided with at least two detection electrodes, the infusion hose being a medicine infusion channel, the electrodes being arranged on a pipe wall of the infusion hose, the infusion hose being communicated with the infusion module when the infusion hose is installed to a working position, medicine flowing to a body through the infusion hose, and the different electrodes being electrically connected with different electric connection areas respectively to input the current blood glucose value into the program module. The algorithm is used to realize accurate control of the closed-loop artificial pancreas medicine infusion system.

The application discloses a closed-loop artificial pancreas medicine infusion control system, which comprises an infusion module for outputting medicine, a program module comprising an input end and an output end, the input end comprising a plurality of electric connection areas for receiving a current blood glucose value, the program module being further provided with an algorithm, the output end being electrically connected with the infusion module, the algorithm being used for calculating a required medicine amount of a user according to the received current blood glucose value, and the program module being used for controlling the infusion module to output the medicine; an infusion tube with a conductive area, the infusion tube being a medicine infusion channel; and a plurality of electrodes for detecting blood glucose, the conductive area of the infusion tube serving as at least one conductive area electrode, when the infusion tube is installed to a working position, the infusion tube is communicated with the infusion module, so that the medicine flows to the body through the infusion tube, and different electrodes are electrically connected with different electric connection areas to input the current blood glucose value into the program module. The algorithm is used for realizing accurate control of the closed-loop artificial pancreas medicine infusion system.

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.

This invention discloses a closed-loop artificial pancreas multi-drug infusion control system, comprising: a detection module for detecting the current blood glucose level; a program module connected to the detection module, pre-programmed with one or more of the following algorithms: rMPC, rPID, and a composite artificial pancreas algorithm; and an infusion module connected to the program module, capable of infusing blood glucose-regulating and / or blood glucose-lowering drugs. Based on the corresponding output indications calculated by the rMPC, rPID, or composite artificial pancreas algorithm, the program module controls the infusion module to infuse the corresponding drugs. This system fully utilizes the advantages of the rPID and rMPC algorithms to handle complex scenarios, enabling the artificial pancreas to reliably provide the types and dosages of drugs for blood glucose control under various conditions, thereby achieving ideal blood glucose control and realizing precise control of the closed-loop artificial pancreas multi-drug infusion system.

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).

The invention discloses a full-closed-loop artificial pancreas control method and system integrating carbon and water quantification, terminal equipment and a storage medium. The method comprises the following steps: firstly, acquiring an image frame containing meals, and preprocessing the image frame; selecting a deep learning instance segmentation model to carry out segmentation processing on the image frame, and obtaining a segmentation mask and segmentation confidence of each meal; based on the segmentation processing result, three-dimensional reconstruction is carried out in combination with image geometric information, and meal volume information is obtained; calculating the total carbon-water content according to the unit carbon-water content of different meals, obtaining an estimated value of the total carbohydrate intake, and calculating and outputting an uncertainty index of the estimated value; the artificial pancreas system dynamically adjusts an infusion strategy based on the indexes and allows a user to confirm; and performing subsequent model optimization based on a multi-layer closed-loop feedback mechanism, setting a calibration factor and performing iterative optimization, and calibrating the total carbohydrate intake to the accuracy meeting the requirement.

The invention discloses an artificial pancreas and a preparation method and application thereof, and belongs to the technical field of biomedical engineering and biological materials. The preparation method of the device comprises the following steps: preparing a cavity by taking a cellulose acetate microporous film as a shell, reserving a filling opening, mixing a sodium alginate or polyacrylamide hydrogel precursor solution with exogenous living cells with a glucose responsive insulin secretion function, filling the mixed solution into the cavity, sealing the filling opening, and sealing the filling opening. The whole device is soaked in a calcium chloride solution for crosslinking, or after exogenous living cells with a glucose-responsive insulin secretion function are encapsulated by calcium alginate hydrogel or polyacrylamide hydrogel, a cellulose acetate microporous film is used as a shell for packaging, so that the artificial pancreas is formed. The preparation method has a wide application prospect in the field of preparation of implantable artificial pancreas devices for treating diabetes cells.

Distribution and reception device for a heterogeneous population of pancreatic cells, method and bioreactor The invention relates to a distribution and reception device for a heterogeneous population in size of pancreatic islets, comprising a matrix having a first face opposite a second face, characterized in that the matrix comprises concentric channels centered on a center O, the channels have an opening for receiving pancreatic cells, opening onto the first face, the opening extending over the entire length (L) of the channel, the opening having a width (l) taken according to section Si, the device being configured so that the widths of the opening of two adjacent channels have an equal or increasing value when moving away from the center O and that the widths of the opening of a channel closest to the center O and of a channel furthest from the center O have an increasing value when moving away from the center O.The field of implantable devices, in particular artificial pancreas. Figure for the abstract: Fig.1.

The invention discloses an automatic detection method based on the change rate of the difference between the actual blood glucose values, including: obtaining an actual blood glucose value of the user at the current time; obtaining a historical actual blood glucose value of the user at the previous time, and calculate a difference between the actual blood glucose values at the current time and at the previous time; calculating a change rate of the difference between the actual blood glucose values at the current time; and comparing the change rate of the difference between the actual blood glucose values at the current time with a preset threshold, and determining an event type according to the comparing result. According to the determined event type, the artificial pancreas can automatically adjust the corresponding infusion strategy to achieve closed-loop control of the artificial pancreas.

A system for managing a patient's glucose level includes a glucose sensor to generate and store data signals for measurements of the patient's glucose level made by the glucose sensor; an insulin pump; and sensor electronics operatively coupled to the glucose sensor, the sensor electronics comprising a memory storing one or more predetermined characteristics associated with the sensor electronics; and a computing device in electronic communication with the sensor electronics. The computing device comprises a processor configured to operate the sensor electronics to (i) receive the generated data signals, (ii) obtain the one or more predetermined sensor characteristics from the memory and (iii) execute a closed-loop algorithm to provide insulin delivery instructions to an insulin pump by at least using the data signals and predetermined characteristics.

The present disclosure discloses a data science driven system and associated methodology framework for mining relevant knowledge from input / output traces of a closed-loop control system for glycemic control to aid in actionable feedback for Type 1 diabetes management. The framework takes Continuous Glucose Monitor (CGM) records and insulin pump records from a closed loop control (CLC) system and interprets the CGM records and insulin pump data to provide medically useful information, wherein the closed-loop control system is operable for operation in an “auto mode” (AP) and a “manual mode” (SAP).

A method for controlling glucose in a flexibly structured dual-hormone artificial pancreas that manages optional meal and / or exercise notifications using coordinated control actions, which comprises: measuring a plasma glucose signal; calculating an incremental plasma glucose measurement (y); defining a model for incremental plasma glucose; defining a carbohydrate intake as dependent on a carbohydrate content estimated by the patient; defining an expected postprandial incremental plasma glucose y*(s) depending on the insulin bolus administered; defining a corrected incremental plasma glucose y(s), a corrected insulin infusion u(s), and a corrected carbohydrate d(s) intake; defining a virtual control action µ(s), divided into regulatory actions µr and counter-regulatory actions µcr and calculating control actions using a 2-DOF feedback controller with a nominal value pre-filter Fr(s).

The application discloses a closed-loop artificial pancreas medicine infusion control system, which comprises an infusion module, a program module, an infusion tube with a conductive area and a plurality of electrodes for detecting blood sugar. The infusion module is used for outputting medicine. The program module comprises an input end and an output end. The input end comprises a plurality of electric connection areas to receive a current blood sugar value. The program module is further provided with an algorithm for calculating the required medicine amount of a user. After the output end is electrically connected with the infusion module, the program module controls the infusion module to output medicine. The infusion tube is a medicine infusion channel. The conductive area of the infusion tube serves as at least one conductive area electrode. When the infusion tube is installed to a working position, the infusion tube is communicated with the infusion module so that the medicine flows to the body through the infusion tube. Different electrodes are electrically connected with different electric connection areas to input the current blood sugar value into the program module. The algorithm is used to realize the accurate control of the closed-loop artificial pancreas medicine infusion system.

A system for managing a patient's glucose level includes a glucose sensor to generate and store data signals for measurements of the patient's glucose level made by the glucose sensor; an insulin pump; and sensor electronics operatively coupled to the glucose sensor, the sensor electronics comprising a memory storing one or more predetermined characteristics associated with the sensor electronics; and a computing device in electronic communication with the sensor electronics. The computing device comprises a processor configured to operate the sensor electronics to (i) receive the generated data signals, (ii) obtain the one or more predetermined sensor characteristics from the memory and (iii) execute a closed-loop algorithm to provide insulin delivery instructions to an insulin pump by at least using the data signals and predetermined characteristics.

Machine learning in an artificial pancreas is described. An artificial pancreas system may include a wearable glucose monitoring device, an insulin delivery system, and a computing device. Broadly speaking, the wearable glucose monitoring device provides glucose measurements of a person continuously. The artificial pancreas algorithm, which may be implemented at the computing device, determines doses of insulin to deliver to the person based on a variety of aspects for the purpose of maintaining the person's glucose within a target range, as indicated by those glucose measurements. The insulin delivery system then delivers those determined doses to the person. As the artificial pancreas algorithm determines insulin doses for the person over time and effectiveness of the insulin doses to maintain the person's glucose level in the target range is observed, an underlying model of the artificial pancreas algorithm may be updated to better determine insulin doses.

The invention discloses a safe infusion closed-loop artificial pancreas system which can continuously calculate the insulin infusion amount required by a patient based on a historical blood glucose value and a fingertip blood glucose value during the long-time loss period of real-time blood glucose value data and infuse a proper amount of insulin for the patient. Infusion of inappropriate insulin and even interruption of insulin infusion due to lack of real-time blood glucose value data are avoided, life danger of a patient is avoided, and treatment of the patient is facilitated.