50 results about "Glucose management" patented technology

Automating the processes of receiving, storing and analyzing blood glucose readings obtained from a diabetic using one or more computer-based systems may provide a number of advantages in the management of levels of glucose in the diabetic's blood. Information regarding a blood glucose reading obtained from a user may be transmitted in one or more messages to the user, to an interested party (e.g. family member), or to a third party over a network, and may serve as the basis for a computer-based motivation strategy to encourage the diabetic to comply with a blood glucose management regime. Additionally, such information may be manually or automatically posted to a social network, thereby enabling the diabetic to receive words of encouragement and support from his or her social network connections, and thereby increase his or her motivation to comply with the blood glucose management regime accordingly.

The invention provides a diabetes patient blood glucose management method and system based on reinforcement learning, a medium and a terminal. The method comprises the following steps: training a decision network model based on a reinforcement learning algorithm to obtain a trained decision network model; acquiring current state information of a diabetes patient; and sending the current state information to the trained decision network model, so that the trained decision network model determines the insulin injection amount corresponding to the diabetes patient at the next future moment based on the current state information, and blood glucose management of the diabetic patient is achieved. According to the method, the decision network model is trained by a reinforcement learning algorithm based on historical blood sugar data and future carbohydrate intake of the diabetes patient, so that the relationship between carbohydrate and blood sugar change is utilized from historical information of the diabetes patient, the purpose of better controlling blood sugar is achieved, and the conditions of irregular intake time and intake amount of carbohydrates can be better adapted.

The invention discloses a blood glucose management-based integrated continuous blood glucose meter. The blood glucose management-based integrated continuous blood glucose meter comprises a blood sampling pen and a test paper needle; a blood sampling needle accommodating portion for accommodating the blood sampling needles is arranged in blood sampling pen, and the blood sampling needles are arranged in the blood sampling needle accommodating portion along a blood sampling pen direction; and a plurality of test paper strips are arranged in the test paper needle along a test paper needle direction. In the above scheme, blood sampling and measurement are designed in an integrated manner, so measurement can be carried out without other devices after blood sampling; and the blood sampling needles and the test paper strips are adopted, so hand-operated replacement after use is not needed, a user can conveniently use the meter, and the measurement waiting time is reduced, thereby the blood glucose measuring accuracy is improved.

The invention provides a preprandial insulin dosage individualized decision-making system based on a Gaussian process. The system utilizes an artificial intelligence method to mine information contained in patient blood glucose monitoring and insulin infusion data at the same time, establishes a postprandial blood glucose prediction model conforming to a human body metabolism rule, utilizes a risksensitive optimization control thought to determine the risk sensitivity coefficient in an individualized mode, and uses a Bayesian optimization method to solve the optimization problem, so the safeand effective preprandial insulin dosage can still be determined even under the condition that deviation exists in model prediction, and postprandial blood glucose management is improved. Therefore, in order to improve postprandial blood glucose management, the preprandial insulin dosage individualized decision-making system based on Gaussian process learning risk sensitive control is designed byutilizing historical data of a patient, the system fully excavates information of historical data of blood glucose metabolism of the patient, and the postprandial blood glucose prediction model is established, so subsequent postprandial blood sugar control or postprandial high and low blood sugar early warning can be conveniently implemented.

The invention provides a preprandial insulin dosage learning optimization decision-making system assisted by expert experience. According to the system, artificial intelligence and expert experience methods are combined, information contained in patient blood sugar monitoring and insulin infusion data is mined at the same time, a safe and effective preprandial insulin dosage can still be determined based on historical data under the condition of few samples, the postprandial blood sugar management is improved, and meanwhile, the system is endowed with abilities of continuous adaptive learning and decision-making performance improvement. Therefore, in order to improve postprandial blood glucose management and utilize a small amount of patient historical data, an expert decision-making assisted preprandial insulin dose individualized learning decision-making system is designed, a model prediction evaluation method is introduced into the system, system decision errors under the condition of few samples are effectively avoided, and the blood glucose metabolism rule of the patient is continuously learned; and meanwhile, an iterative updating thought is further introduced, a postprandial blood sugar management target is determined in a self-adaptive mode, and safe and effective preprandial insulin doses can be rapidly determined under the condition that few samples are used for diabetic patients under different illness conditions.

The invention provides a diabetes blood glucose prediction system and method based on CNN and model fusion. The system comprises a blood glucose management module, an inpatient management module, an intelligent user side and a terminal monitoring module. The blood glucose management module is connected with the intelligent user side through the network server; the blood glucose management module comprises a data input unit, a data processing unit, a data output unit, a reminding unit and a data display unit; the data input unit is connected with the hospitalized patient management module and the intelligent user side; the data output unit is connected with the intelligent user side, the reminding unit and the data display unit; the data input unit, the data processing unit and the data output unit are electrically connected; the intelligent user side comprises a warning error correction module, an information input module and a service module; and the terminal monitoring module is connected with the intelligent user side through the wireless transmission module. Multi-directional monitoring is achieved, harm of hyperglycemia or hypoglycemia to a patient is reduced, and accurate nursing is achieved.

The invention relates to an intelligent glucometer automatically started by inserting a test strip. The intelligent glucometer automatically started by inserting the test strip comprises an intelligent glucometer and a test strip, wherein the intelligent glucometer comprises a test strip slot unit, a test strip insertion detection unit, a blood glucose measurement unit, a micro control unit, application software, a display unit and a power supply unit, and the test strip comprises an insertion detection electrode, a ground electrode and a blood glucose measurement electrode,; the intelligent glucometer comprises a starting control unit and a main control unit; the test strip slot unit is in charge of respectively transmitting a signal to the test strip insertion detection unit and the blood glucose measurement unit, the test strip insertion detection unit and the blood glucose measurement unit transmit the detected signal to the micro control unit, the micro control unit and the main control unit mutually transmit the signals, the micro control unit transmits the signal to the starting control unit to realize starting of the intelligent glucometer, and the main control unit realizes signal transmission with the display unit by virtue of the application software. The intelligent glucometer provided by the invention can provide rich blood glucose management for a user, and automatic starting by inserting the test strip is supported, so that convenience of blood glucose measurement is improved.

A glucose management device and method of managing glucose using the same. The glucose management device has a housing with an input device and receives a vitro test element that determines a user's glucose level. Glucose measurement circuitry is electrically connected to the vitro test element to communicate data received from the vitro test element to a processor. The processor then prompts a user to input user information regarding units of insulin taken, other medication taken, and activity level into the input device so that the processor records the information for later downloading.

The invention belongs to the field of medical information, and discloses a blood glucose management method based on mobile terminal equipment. The method comprises the following steps of: displaying a blood glucose management operation interface of a patient; selecting a blood glucose measurement opportunity, measuring the blood glucose value of the patient and recording the blood glucose value; after performing evaluation, automatically recommending nursing measures to prompt or guide the user; making the user select the nursing measures; and storing the blood glucose value, the blood glucose measuring time, the nursing measures and the blood glucose recording time of the patient. The invention further discloses a management system which is installed on the mobile terminal, and an operation interface of the mobile terminal is provided with a nursing measure display frame so as to prompt or guide the user to take nursing measures. The system further comprises a blood glucose management system. With the blood glucose management method based on mobile terminal equipment and the management system adopted, the nursing measures can be automatically recommended so as to prompt or guide the user to take corresponding, uniform, standard and scientific nursing measures, the workload of medical staff can be simplified, and efficiency and accuracy can be improved.

The invention discloses a CGM-based intelligent blood glucose management system for a critical patient. The system comprises a CGM acquisition terminal, a CGM receiving terminal, a main control unit and an infusion pump unit, wherein the CGM acquisition terminal is used for acquiring the blood glucose value of a patient in real time; the CGM receiving end is used for receiving the acquired blood glucose value of the patient; the main control unit is used for analyzing the acquired blood glucose value of the patient and sending a control signal to an infusion pump unit; the control signal includes an insulin control signal and a nutrient solution control signal; the infusion pump unit comprises an insulin infusion pump and a nutrient solution infusion pump; the insulin control signal includes a blood glucose value processing signal, an initial regulation and control signal and a real-time regulation and control signal; mapping data corresponding to the control signal is set in the maincontrol unit; and the infusion pump unit is used for carrying out insulin and nutrient solution infusion on the patient according to the received control signal. According to the invention, the bloodglucose management precision and safety of critical patients can be effectively improved.

A blood glucose management device is disclosed that is operable to seamlessly and sequentially provide a sequence of at least two displays of data relating to one or more blood glucose measurements to a user, upon minimal user interaction with the blood glucose management device.

The present invention relates to a method for providing mealtime information for a gestational diabetic patient. More specifically, the present invention relates to a method for providing mealtime information for blood glucose management, which provides a user with a meal guide message or a snack guide message to prevent damages caused by hypoglycemia when a user's mealtime is delayed by comparinga time difference between daily mealtimes constituting a unit time with a set threshold time, and which helps prevent a user from suffering hypoglycemia due to a long time of hunger by comparing a time difference between the last mealtime of the day and the first mealtime of the next day with a set threshold time.

The application discloses a lancet device (100) that includes a base (102) that supports a lancet (104) and a cover (106). The cover can move controllably from an un-depressed position to a depressed position when a predetermined force is applied. The cover can provide access to the lancet in the depressed position.

The invention discloses a blood glucose management method. The identity information and the blood glucose detection data of an object to be monitored transmitted by a blood glucose detection terminalare received; the identity information and the blood glucose detection data are processed and saved; the login request of a medical terminal is received, and the login request is verified; and after passing of verification, the identity information and the blood glucose detection data of the object to be monitored are pushed to the medical terminal according to the instruction transmitted by the medical terminal. The invention also provides a blood glucose management platform. According to the blood glucose management method and platform, the basic information and the blood glucose detection data of the object to be monitored are automatically acquired through the blood glucose detection terminal so that time and labor can be saved, automatic matching of the patient and the data can be realized and the convenience and the accuracy of data management can be enhanced.

The invention discloses an integrative and intelligent blood glucose management device. The integrative and intelligent blood glucose management device comprises a detecting head and a main engine, the detecting head is connected with the main machine, the detecting head comprises a groove portion used for placing a glucometer, a test paper inserting mouth which test paper can be inserted in and an idler wheel, and one end of the test paper is inserted in the glucometer through the test paper inserting mouth; the idler wheel is located between the test paper inserting mouth and the glucometer,the test paper tightly fits the idler wheel, and the idler wheel is arranged on a connecting rod; when the test paper is inserted in, the idler wheel is rolled by hand in one direction to drive the test paper to be inserted in the glucometer, and when the idler wheel is rolled by hand in an opposite direction, the idler wheel drives the test paper to be away from the glucometer and the test paperinserting mouth; the configuration of the glucometer can detect samples on the test paper, stores the data, and transfers the data to the main engine, and the main engine can analyze and store the data. The integrative and intelligent blood glucose management device is simple in structure, easy to operate, clean and sanitary to avoid blood-borne diseases so as to manage the blood glucose data conveniently.

The invention discloses an MDI dose suggestion system based on Bayesian optimization. The MDI dose suggestion system comprises an index calculation module, a Gaussian process learning module and a secure Bayesian optimization module, the index calculation module is used for recording the collected 24-hour blood glucose of a certain patient in the previous day, dividing the blood glucose in sections and converting the blood glucose into an asymmetric penalty index and a hypoglycemia safety index which can describe the blood glucose management level; the Gaussian process learning module takes the index result and the insulin dose as input training to obtain a prediction model, and obtains a prediction result corresponding to the dose by using the prediction model; the safety Bayesian optimization module calculates the maximum improvement expectation by using random distribution of the asymmetric penalty index prediction model obtained by prediction of the Gaussian process learning module, obtains a safety limiting function by using hypoglycemia safety index distribution, adds the safety limiting function as a risk penalty factor into the improvement expectation, and finally obtains a safety expectation improvement value; the blood glucose management level of the diabetic patient is evaluated through multiple indexes, and the optimal blood glucose control effect is gradually achieved.

The invention discloses an intelligent diabetes mellitus caloric management method and system. The method comprises the following steps: S1, acquiring the caloric of each diet taken by a patient in acertain time period; S2, obtaining heat consumed by each movement of the patient in the time period; S3, acquiring a fasting blood glucose value and a glycosylated hemoglobin value, a postprandial blood glucose value and a glycosylated hemoglobin value, and a postprandial two-hour blood glucose value and a glycosylated hemoglobin value of the patient in the time period; S4, substituting the regionof the patient, the calorie of each diet, the calorie consumed by each exercise, the fasting blood glucose value and glycosylated hemoglobin value, the postprandial blood glucose value and glycosylated hemoglobin value, and the postprandial two-hour blood glucose value and glycosylated hemoglobin value into the embedded graph model for training; substituting the embedded graph model training result into a graph convolutional neural network for training to obtain a heat control scheme which is similar to the patient and marked as a patient subjected to blood glucose management, and recommending the heat control scheme to the patient.