Insulin infusion control method and system for insulin pump

Abstract

The invention discloses an insulin infusion control method and system for an insulin pump, and relates to the technical field of insulin infusion control, and the system comprises a dynamic monitoring module, a data analysis module, an evaluation adjustment module and an execution feedback module which operate in sequence; wherein the dynamic monitoring module is used for regularly detecting a blood glucose value once within a set time interval M, and acquiring the meal ordering amount and meal ordering time of a corresponding patient from a meal ordering system in real time under the condition that the patient uses the meal ordering system in a hospital; according to the technical key points, the insulin infusion rate can be more accurately adjusted by dynamically monitoring the blood glucose value and the ordering condition of a patient and combining data analysis so as to adapt to different requirements of the patient before and after a meal; the insulin infusion rate is adjusted in real time according to the ordering condition under the condition that the patient freely orders the food in the hospital, so that the flexibility and comfort of the patient in dining are improved, and the living quality and satisfaction of the patient are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of insulin infusion control, and in particular to an insulin infusion control method and system for an insulin pump. Background Art

[0002] An insulin pump is an insulin infusion system that simulates the secretion of insulin by the human pancreas. It continuously infuses trace amounts of insulin into the human body through precise control, so that the insulin in the body of diabetic patients conforms to normal physiological changes, thereby better controlling the patient's daily blood sugar level and saving the patient from the pain of injecting insulin with a syringe.

[0003] The document entitled "An Insulin Pump Control System and Insulin Pump Control Method," with application number 202110859584.8, states: "The communication module of the insulin pump control device can receive blood glucose signals transmitted by a subcutaneously implanted blood glucose sensor, and the human-computer interaction module can receive insulin pump control instructions input by the user. Thus, the control module can generate a target control signal based on the insulin pump control instructions input by the user, or can generate a target control signal based on the blood glucose signal. The target insulin pump infuses insulin into the patient's body based on the target control signal, thereby achieving insulin pump infusion control." The insulin pump control device can be a small wearable device or a smartphone, and integrates dynamic blood glucose monitoring and insulin pump control functions. Users no longer need to carry other control devices for controlling the insulin pump or a scanner for scanning and reading blood glucose signals in addition to their usual mobile phone. This significantly reduces the number of devices carried by the user and alleviates the user's burden. However, it cannot flexibly adjust the insulin infusion rate for different scenarios.

[0004] In combination with the above documents and existing technologies, when controlling the insulin infusion rate, it is usually dependent on the doctor's experience and the patient's self-monitoring, and it is difficult to achieve precise control of the insulin infusion rate. At the same time, for patients who need continuous insulin infusion, they need to perform infusion operations at different times every day, but for some hospitalized patients, their meal times cannot be grasped, and some meal times may overlap with infusion times. For patients after or during meals, the intake of carbohydrates will increase their blood sugar levels, so it is necessary to increase the insulin infusion rate at this time, but the specific rate is currently controlled manually or no corresponding adjustment is made, which may cause the patient's blood sugar level to be unstable due to the infusion rate being too fast or too slow. Summary of the Invention

[0005] (1) Technical problems solved

[0006] In response to the shortcomings of the existing technology, the present invention provides an insulin infusion control method and system for an insulin pump. By dynamically monitoring the patient's blood sugar level and meal ordering situation and combining data analysis, the insulin infusion rate can be adjusted more accurately to meet the patient's different needs before and after meals; ensuring that patients can order meals freely in the hospital and adjusting the insulin infusion rate in real time according to the meal ordering situation, which increases the flexibility and comfort of patients' meals, helps to improve the patients' quality of life and satisfaction, and solves the problems raised in the background technology.

[0007] (2) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] An insulin infusion control method and system for an insulin pump, comprising:

[0010] The dynamic monitoring module regularly checks the blood sugar level within a set time interval M. If the patient uses the hospital's in-house meal ordering system, the module obtains the patient's order quantity and order time from the system in real time.

[0011] A data analysis module, comprising a first analysis unit and a second analysis unit, wherein the first analysis unit is triggered when the insulin infusion time period is obtained before the meal ordering time; and the second analysis unit is triggered when the insulin infusion time period is obtained after or coincides with the meal ordering time;

[0012] The evaluation and adjustment module adjusts the insulin pump's infusion rate according to the output of the corresponding triggering unit and monitors the corresponding patient's blood glucose level during any period of insulin infusion rate adjustment. When the blood glucose level is lower than the preset standard range, the real-time insulin infusion rate is continuously reduced until the patient's blood glucose level is within the standard range. If the time period T of the continuous reduction in the real-time insulin infusion rate exceeds the set threshold T0, a level 1 warning signal is triggered;

[0013] When the blood sugar level is higher than the preset standard range, the real-time insulin infusion rate is continuously increased until the patient's blood sugar level is within the standard range. If the time period T of the continuous increase in the real-time insulin infusion rate exceeds the set threshold T0, a secondary warning signal is triggered;

[0014] The execution feedback module, when a first-level warning signal is obtained, will feed back the signal to the nurse station, prompting the implementation of the injection strategy and injecting glucose into the patient; when a second-level warning signal is obtained, the signal will be fed back to the nurse station, and the prompt suggestion strategy will be implemented, suggesting reducing the intake of carbohydrates in meals.

[0015] Furthermore, the meal size ordered by the corresponding patient includes carbohydrate content and net weight.

[0016] Furthermore, the first analysis unit is triggered to collect the basic data set of the corresponding patient, and based on the processed basic data set, an estimation calculation model is built to generate an estimated value of the basal insulin infusion rate of the corresponding patient, and the basic data set includes the patient's weight, age and diabetes grade coefficient.

[0017] Furthermore, the basic data set is processed as follows:

[0018] A rule engine is established based on the patient's age. The age adjustment coefficient is set to 0.8 when the patient is < 20 years old, 1.0 when the patient is 20 ≤ < 40 years old, 1.2 when the patient is 40 ≤ < 60 years old, and 1.4 when the patient is ≥ 60 years old.

[0019] The HbA1c levels of the corresponding patients were collected, and a rule engine was built again to classify the diabetes level into three levels: mild, moderate, and severe. HbA1c < 7% indicates mild, 7% ≤ HbA1c < 9% indicates moderate, and HbA1c ≥ 9% indicates severe. Corresponding coefficients were set for mild, moderate, and severe, respectively, at 1.0, 1.5, and 2.0.

[0020] Furthermore, when building an estimated calculation model to generate an estimated value of the basal insulin infusion rate, the formula is as follows:

[0021] ;

[0022] Where, Vr gz represents the estimated basal insulin infusion rate, k is a constant with a value of 0.01, gt represents the patient's actual weight, nx represents the age adjustment coefficient, and dx represents the diabetes grade coefficient.

[0023] Furthermore, when building a rate adjustment calculation model to generate an insulin infusion rate adjustment value, the formula used is as follows:

[0024] ;

[0025]

[0026]

[0027] Where, Vr o represents the insulin infusion rate adjustment value, yl represents the insulin dose value, th represents the carbohydrate content, ts xrepresents the carbohydrate coefficient, tl represents the food intake adjustment value, zs represents the net weight, tz x Indicates the adjustment factor.

[0028] Furthermore, when the real-time insulin infusion rate is continuously reduced, the frequency is adjusted by reducing it by 1 unit per minute / hour; when the real-time insulin infusion rate is continuously increased, the frequency is adjusted by increasing it by 1 unit per minute / hour.

[0029] A method for controlling insulin infusion for an insulin pump comprises the following steps:

[0030] S1. Regularly check the blood glucose level within a set time interval M. If the patient uses the hospital's meal ordering system, obtain the patient's order quantity and order time in real time from the ordering system;

[0031] S2. When the obtained insulin infusion time period is before the meal ordering time, the first analysis unit is triggered; when the obtained insulin infusion time period is after the meal ordering time or coincides with the meal ordering time, the second analysis unit is triggered;

[0032] wherein, triggering the first analysis unit to collect the basic data set of the corresponding patient, and building an estimation calculation model based on the processed basic data set to generate an estimated value of the basal insulin infusion rate of the corresponding patient;

[0033] The following formula was used to build the estimated calculation model to generate an estimate of the basal insulin infusion rate:

[0034]

[0035] Where, Vr gz represents the estimated basal insulin infusion rate, k is a constant that can be determined based on clinical experience and research data, with a value of 0.01, gt represents the patient's actual weight, nx represents the age adjustment factor, which is a factor that changes according to age, and dx represents the diabetes grade factor, which is set according to the diabetes grade;

[0036] Triggering the second analysis unit to obtain the estimated basal insulin infusion rate of the corresponding patient, extract the meal quantity ordered by the corresponding patient, build a rate adjustment calculation model, and generate an insulin infusion rate adjustment value;

[0037] The rate adjustment calculation model is built to generate the insulin infusion rate adjustment value based on the following formula:

[0038]

[0039]

[0040]

[0041] Where, Vr o represents the insulin infusion rate adjustment value, yl represents the insulin dose value, th represents the carbohydrate content, ts x represents the carbohydrate coefficient, tl represents the food intake adjustment value, zs represents the net weight, tz x represents the adjustment factor;

[0042] S3. The insulin pump adjusts the infusion rate according to the output result of the corresponding triggering unit, and monitors the corresponding patient's blood glucose level during any period of adjusting the insulin infusion rate. When the blood glucose level is lower than the preset standard range, the real-time insulin infusion rate is continuously reduced until the patient's blood glucose level is within the standard range. If the time period T of continuously reducing the real-time insulin infusion rate exceeds the set threshold value T0, a first-level warning signal is triggered;

[0043] When the blood sugar level is higher than the preset standard range, the real-time insulin infusion rate is continuously increased until the patient's blood sugar level is within the standard range. If the time period T of the continuous increase in the real-time insulin infusion rate exceeds the set threshold T0, a secondary warning signal is triggered;

[0044] S4. When a first-level warning signal is obtained, the signal is fed back to the nurse station, prompting the implementation of the injection strategy to inject glucose into the patient; when a second-level warning signal is obtained, the signal is fed back to the nurse station, and the prompt suggestion strategy is implemented, suggesting reducing the intake of carbohydrates in meals.

[0045] (3) Beneficial effects

[0046] The present invention provides an insulin infusion control method and system for an insulin pump, which has the following beneficial effects:

[0047] (1) By dynamically monitoring the patient's blood sugar level and meal ordering, combined with data analysis, the insulin infusion rate can be adjusted more accurately to meet the patient's different needs before and after meals; ensuring that patients can freely order meals in the hospital and adjusting the insulin infusion rate in real time according to the meal ordering situation, which increases the flexibility and comfort of patients' meals and helps improve their quality of life and satisfaction;

[0048] (2) By meticulously managing patients’ diet and insulin infusion, it helps reduce the occurrence of hyperglycemia and hypoglycemia, and to a certain extent, can reduce the additional medical expenses caused by diabetes, thereby reducing the cost of diabetes management;

[0049] (3) By setting the first and second level warning signals, the system can trigger warnings in time when the blood sugar level is abnormal, and notify medical staff to handle the situation. The warning signals will be fed back to the nurse station in a timely manner, and specific treatment suggestions will be given, which will help improve the management effect and service quality of patients and enhance patients' satisfaction and trust in medical services. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 This is a schematic diagram of the modular structure of an insulin infusion control system for an insulin pump according to the present invention;

[0051] Figure 2 The figure is a schematic diagram of the overall process of an insulin infusion control method for an insulin pump according to the present invention. DETAILED DESCRIPTION

[0052] The following will provide a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0053] Example 1:

[0054] See also Figure 1 , this embodiment provides an insulin infusion control system for an insulin pump, the system comprising a dynamic monitoring module, a data analysis module, an evaluation and adjustment module, and an execution feedback module operating in sequence;

[0055] Among them, the dynamic monitoring module:

[0056] Regularly test the blood sugar level within a set time interval M. If the patient uses the hospital's meal ordering system, obtain the patient's order quantity and order time in real time from the ordering system;

[0057] Among them, a micro glucose sensor is used to detect the blood sugar level of the corresponding patient, and the value of M is 1~5 minutes. Generally speaking, the blood sugar level is automatically detected every 1 minute. In order to ensure that the system can cope with the insulin infusion rate of the patient before and after meals, it is necessary to ensure that the system can accurately understand the patient's meal ordering situation and adjust the subsequent insulin infusion rate control operation according to the patient's pre-meal and post-meal status;

[0058] The hospital's ordering system typically uses QR codes, which patients can scan on their mobile devices to select the dishes they want. The ordering system uses the same principles and algorithms as existing ordering software on the market, providing an estimated delivery time for the dishes ordered and allowing patients 40 minutes for mealtimes. That means the estimated delivery time plus 40 minutes is the patient's post-meal time.

[0059] The meal size for each patient included carbohydrate content and net weight;

[0060] Generally speaking, hospital cafeterias have clear specifications for the number and types of dishes ordered by patients. For each dish of the corresponding category, there are also reference values ​​for the carbohydrate content and net weight. Usually, the middle value is taken as the obtained carbohydrate content and net weight. If multiple dishes are added together, the cumulative calculation can be used.

[0061] Data analysis module:

[0062] It has a built-in first analysis unit and a second analysis unit. When the obtained insulin infusion time period is before the meal ordering time, it means that the insulin injection time is during the non-meal time period, and the first analysis unit is triggered; when the obtained insulin infusion time period is after the meal ordering time or coincides with the meal ordering time, it means that the insulin injection time is during the meal time period, and the second analysis unit is triggered.

[0063] The method for obtaining the insulin infusion time period is as follows:

[0064] The hospital sets the schedule for insulin injections for patients. Taking into account the patient's particularity, the meal times or periods for this type of patients are different from those for other types of patients.

[0065] triggering the first analysis unit to collect a basic data set of the corresponding patient, and building an estimation calculation model based on the processed basic data set to generate an estimated value of the basal insulin infusion rate of the corresponding patient;

[0066] The basic data set includes the patient's weight, age, and diabetes grade coefficient;

[0067] The basic data set is processed as follows:

[0068] The patient's weight and age are directly obtained from the personal information they fill out when they are admitted to the hospital. A rule engine is established based on age, setting the age adjustment coefficient to 0.8 when the age is < 20 years old, 1.0 when the age is 20 ≤ age < 40 years old, 1.2 when the age is 40 ≤ age < 60 years old, and 1.4 when the age is ≥ 60 years old.

[0069] The process for obtaining the diabetes grade coefficient is as follows: collecting the patient's glycated hemoglobin (HbA1c) level, and then building a rule engine to categorize the diabetes grade into three levels: mild, moderate, and severe. The corresponding coefficients for mild, moderate, and severe are set to 1.0, 1.5, and 2.0, respectively.

[0070] This can be intuitively seen through the following chart:

[0071] Diabetes level Corresponding glycated hemoglobin (HbA1c) level range Setting coefficient Mild HbA1c < 7% 1.0 Moderate 7% ≤ HbA1c < 9% 1.5 severe HbA1c ≥ 9% 2.0

[0072] The following formula was used to build the estimated calculation model to generate an estimate of the basal insulin infusion rate:

[0073]

[0074] Where, Vr gz represents the estimated basal insulin infusion rate. k is a constant that can be determined based on clinical experience and research data and is set to 0.01. gt represents the patient's actual weight. nx represents the age-adjusted coefficient, which varies according to age. dx represents the diabetes grade coefficient, which is set according to the diabetes grade. Before calculation, each parameter needs to be dimensionless to remove the unit of each data to facilitate subsequent calculation and processing.

[0075] For example:

[0076] Assume that a patient weighs 70 kg, is 50 years old, and has stage 2 diabetes. The constant k is set to 0.01. Then, the patient's weight = 70 kg, the age adjustment factor = 1.2 (because 50 years old is between 40 and 60 years old), and the diabetes stage factor = 1.5 (because the patient has stage 2 diabetes).

[0077] The estimated basal insulin infusion rate is:

[0078] Estimated basal insulin infusion rate = 0.01 × 70 × 1.2 × 1.5 = 1.26 units / hour;

[0079] In addition, the formula provides a basic framework that can be adjusted and optimized based on actual clinical data and patient conditions;

[0080] Triggering the second analysis unit to obtain the estimated basal insulin infusion rate of the corresponding patient, extract the meal quantity ordered by the corresponding patient, build a rate adjustment calculation model, and generate an insulin infusion rate adjustment value;

[0081] Adjusting the insulin infusion rate after a meal is necessary because food intake directly affects the patient's blood sugar level. In particular, after consuming foods containing carbohydrates, blood sugar levels will rise. In order to control this rise and keep blood sugar within the target range, the insulin infusion rate needs to be increased. By adjusting the insulin infusion rate, the blood sugar changes after food intake can be better matched, thereby avoiding the occurrence of hyperglycemia or hypoglycemia.

[0082] The rate adjustment calculation model is built to generate the insulin infusion rate adjustment value based on the following formula:

[0083]

[0084]

[0085]

[0086] Where, Vr o represents the insulin infusion rate adjustment value, yl represents the insulin dose value, th represents the carbohydrate content, ts x represents the carbohydrate coefficient, tl represents the food intake adjustment value, zs represents the net weight, tz x represents the adjustment factor;

[0087] It should be noted that Vr in the formula gz The insulin dose value yl is the estimated insulin infusion rate for patients outside of mealtimes, i.e., the daily amount of insulin required by the patient to maintain basal blood sugar levels. The insulin dose value yl is the additional amount of insulin given to cover the current or subsequent rise in blood sugar after food intake. The food intake adjustment value tl is the insulin infusion amount further adjusted based on the amount of food intake. This is usually an amount proportional to food intake and is fine-tuned based on food intake for more precise blood sugar control.

[0088] For example:

[0089] Assuming a patient has a basal infusion rate (i.e., estimated insulin infusion rate) of 1 unit / hour, is about to consume a meal containing 50 grams of carbohydrate, with a carbohydrate index of 0.1 units / gram, an adjustment factor of 0.02 units / gram, and a food intake of 300 grams;

[0090] Calculate carbohydrate insulin requirement (i.e. insulin dose value): 50 × 0.1 = 5 units;

[0091] Assuming no additional adjustments, the insulin dose value is 5 units;

[0092] Calculate the food intake adjustment (i.e., food intake adjustment value): 300 × 0.02 = 6 units;

[0093] Calculate the adjusted insulin infusion rate (i.e., insulin infusion rate adjustment value): 1 + 5 + 6 = 12 units / hour;

[0094] Therefore, the patient's insulin infusion rate after a meal should be adjusted to 12 units / hour to better control postprandial blood glucose.

[0095] Traditional methods often rely on the doctor's experience and the patient's self-monitoring, making it difficult to achieve precise control of the insulin infusion rate. This solution dynamically monitors the patient's blood sugar level and meal ordering habits, combined with data analysis, to more accurately adjust the insulin infusion rate to meet the patient's different needs before and after meals. It ensures that patients can freely order meals within the hospital and adjust the insulin infusion rate in real time based on the meal ordering habits. This increases the flexibility and comfort of patients' meals and helps improve their quality of life and satisfaction.

[0096] By meticulously managing patients' diet and insulin infusion, this program helps reduce the incidence of hyperglycemia and hypoglycemia. To a certain extent, it can reduce the additional medical expenses caused by diabetes, thereby reducing the cost of diabetes management.

[0097] In summary, this technical solution achieves precise control of the insulin infusion rate through dynamic monitoring and data analysis, improves the flexibility and comfort of patients' meals, and optimizes the effect of diabetes management. It has significant technical advantages and application value.

[0098] Assessment and Adjustment Module:

[0099] The insulin pump's infusion rate is adjusted according to the output result of the corresponding triggering unit, and the corresponding patient's blood glucose level is monitored during any period of adjusting the insulin infusion rate. When the blood glucose level is lower than the preset standard range, the real-time insulin infusion rate is continuously reduced until the patient's blood glucose level is within the standard range. If the time period T of continuously reducing the real-time insulin infusion rate exceeds the set threshold value T0, a first-level warning signal is triggered. When the blood glucose level is higher than the preset standard range, the real-time insulin infusion rate is continuously increased until the patient's blood glucose level is within the standard range. If the time period T of continuously increasing the real-time insulin infusion rate exceeds the set threshold value T0, a second-level warning signal is triggered.

[0100] The preset standard range value represents the normal blood sugar range for the average person. For example, the standard range is usually 70-180 mg / dL. If the patient's blood sugar value is 60 mg / dL, it means that the patient is at risk of hypoglycemia.

[0101] When continuously reducing the real-time insulin infusion rate, adjust the frequency by reducing it by 1 unit / hour per minute;

[0102] When continuously increasing the real-time insulin infusion rate, adjust it by increasing it by 1 unit / hour per minute.

[0103] Execution feedback module:

[0104] If a first-level warning signal is obtained, the signal will be fed back to the nurse station, prompting the implementation of the injection strategy and injecting glucose into the patient; if a second-level warning signal is obtained, the signal will be fed back to the nurse station, implementing the prompt suggestion strategy and suggesting that the patient reduce the intake of carbohydrates in meals or exercise for 30 minutes.

[0105] In traditional diabetes management, hypoglycemia or hyperglycemia events are often difficult to detect and address in a timely manner. This solution, by setting primary and secondary warning signals, can trigger warnings in a timely manner when blood sugar levels are abnormal, notifying medical staff to take action. Through the execution feedback module, this solution can promptly feedback warning signals to the nurse station and provide specific treatment suggestions, helping to improve patient management effectiveness and service quality, and enhance patient satisfaction and trust in medical services.

[0106] In summary, this technical solution solves the technical problems in traditional diabetes management by adjusting the insulin infusion rate in real time, setting an early warning mechanism, and forming a closed-loop management of patient feedback and treatment. It improves the accuracy and safety of insulin use, reduces the risk of hypoglycemia and hyperglycemia events, and improves patient management effects and service quality.

[0107] Example 2:

[0108] See also Figure 2 Based on Example 1, this embodiment further provides a method for controlling insulin infusion for an insulin pump, comprising the following specific steps:

[0109] S1. Regularly check the blood glucose level within a set time interval M. If the patient uses the hospital's meal ordering system, obtain the patient's order quantity and order time in real time from the ordering system;

[0110] S2. When the obtained insulin infusion time period is before the meal ordering time, the first analysis unit is triggered; when the obtained insulin infusion time period is after the meal ordering time or coincides with the meal ordering time, the second analysis unit is triggered;

[0111] S3. The insulin pump adjusts the infusion rate according to the output result of the corresponding triggering unit, and monitors the corresponding patient's blood glucose level during any period of adjusting the insulin infusion rate. When the blood glucose level is lower than the preset standard range, the real-time insulin infusion rate is continuously reduced until the patient's blood glucose level is within the standard range. If the time period T of continuously reducing the real-time insulin infusion rate exceeds the set threshold value T0, a first-level warning signal is triggered;

[0112] The value of the threshold T0 is set according to actual needs;

[0113] When the blood sugar level is higher than the preset standard range, the real-time insulin infusion rate is continuously increased until the patient's blood sugar level is within the standard range. If the time period T of the continuous increase in the real-time insulin infusion rate exceeds the set threshold T0, a secondary warning signal is triggered;

[0114] S4. When a first-level warning signal is obtained, the signal is fed back to the nurse station, prompting the implementation of the injection strategy to inject glucose into the patient; when a second-level warning signal is obtained, the signal is fed back to the nurse station, and the prompt suggestion strategy is implemented, suggesting reducing the intake of carbohydrates in meals.

[0115] In the application, the several formulas involved are all calculated by taking their numerical values ​​after removing the dimensions, and the formulas are established by collecting a large amount of data and performing software simulation to obtain a formula for the most recent real situation. Some coefficients or weights in the formulas are set by technical personnel in this field according to actual conditions, so they will not be elaborated here.

[0116] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those skilled in the art will appreciate that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0117] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, and may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment as needed.

[0118] The above is only a specific implementation method of the present application, but the scope of protection of the present application is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed in this application, which should be covered by the scope of protection of the present application.

Claims

1. An insulin infusion control system for an insulin pump, characterized in that: The system includes: The dynamic monitoring module regularly checks the blood sugar level within a set time interval M. If the patient uses the hospital's in-house meal ordering system, the module obtains the patient's order quantity and order time from the system in real time. A data analysis module, comprising a first analysis unit and a second analysis unit, wherein the first analysis unit is triggered when the insulin infusion time period is obtained before the meal ordering time; and the second analysis unit is triggered when the insulin infusion time period is obtained after or coincides with the meal ordering time; The evaluation and adjustment module adjusts the insulin pump's infusion rate according to the output of the corresponding triggering unit and monitors the corresponding patient's blood glucose level during any period of insulin infusion rate adjustment. When the blood glucose level is lower than the preset standard range, the real-time insulin infusion rate is continuously reduced until the patient's blood glucose level is within the standard range. If the time period T of the continuous reduction in the real-time insulin infusion rate exceeds the set threshold T0, a level 1 warning signal is triggered; When the blood glucose level is higher than the preset standard range, the real-time insulin infusion rate will be continuously increased until the patient's blood glucose level is within the standard range. If the time period T of continuously increasing the real-time insulin infusion rate exceeds the set threshold value T0, a secondary warning signal will be triggered.

2. The insulin infusion control system for an insulin pump according to claim 1, characterized in that: The meal size for each patient includes carbohydrate content and net weight.

3. The insulin infusion control system for an insulin pump according to claim 2, characterized in that: The first analysis unit is triggered to collect the basic data set of the corresponding patient, and an estimation calculation model is built based on the processed basic data set to generate an estimated value of the basal insulin infusion rate of the corresponding patient. The basic data set includes the patient's weight, age and diabetes grade coefficient.

4. The insulin infusion control system for an insulin pump according to claim 3, characterized in that: The basic data set is processed as follows: A rule engine is established based on the patient's age. The age adjustment coefficient is set to 0.8 when the patient is < 20 years old, 1.0 when the patient is 20 ≤ < 40 years old, 1.2 when the patient is 40 ≤ < 60 years old, and 1.4 when the patient is ≥ 60 years old. The HbA1c levels of the corresponding patients were collected, and a rule engine was built again to classify the diabetes level into three levels: mild, moderate, and severe. HbA1c < 7% indicates mild, 7% ≤ HbA1c < 9% indicates moderate, and HbA1c ≥ 9% indicates severe. Corresponding coefficients were set for mild, moderate, and severe, respectively, at 1.0, 1.5, and 2.

0.

5. The insulin infusion control system for an insulin pump according to claim 4, characterized in that: The following formula was used to build the estimated calculation model to generate an estimate of the basal insulin infusion rate: ； Where, Vr gz represents the estimated basal insulin infusion rate, k is a constant with a value of 0.01, gt represents the patient's actual weight, nx represents the age adjustment coefficient, and dx represents the diabetes grade coefficient.

6. The insulin infusion control system for an insulin pump according to claim 5, characterized in that: The rate adjustment calculation model is built to generate the insulin infusion rate adjustment value based on the following formula: ； ； ； Where, Vr o represents the insulin infusion rate adjustment value, yl represents the insulin dose value, th represents the carbohydrate content, ts x represents the carbohydrate coefficient, tl represents the food intake adjustment value, zs represents the net weight, tz x Indicates the adjustment factor.

7. The insulin infusion control system for an insulin pump according to claim 6, characterized in that: When the real-time insulin infusion rate is continuously reduced, the frequency should be adjusted by reducing it by 1 unit per minute / hour; when the real-time insulin infusion rate is continuously increased, the frequency should be adjusted by increasing it by 1 unit per minute / hour.

8. The insulin infusion control system for an insulin pump according to claim 7, characterized in that: It also includes an execution feedback module. When a first-level warning signal is obtained, the signal is fed back to the nurse station to prompt the implementation of the injection strategy and inject glucose into the patient. If a secondary warning signal is received, the signal will be fed back to the nurse station, and a prompt and suggestion strategy will be implemented, suggesting reducing the intake of carbohydrates in meals.

9. A method for controlling insulin infusion for an insulin pump, using the system according to any one of claims 1 to 8, characterized in that: The steps include: S1. Regularly check the blood glucose level within a set time interval M. If the patient uses the hospital's meal ordering system, obtain the patient's order quantity and order time in real time from the ordering system; S2. When the obtained insulin infusion time period is before the meal ordering time, the first analysis unit is triggered; when the obtained insulin infusion time period is after the meal ordering time or coincides with the meal ordering time, the second analysis unit is triggered; S3. The insulin pump adjusts the infusion rate according to the output result of the corresponding triggering unit, and monitors the corresponding patient's blood glucose level during any period of adjusting the insulin infusion rate. When the blood glucose level is lower than the preset standard range, the real-time insulin infusion rate is continuously reduced until the patient's blood glucose level is within the standard range. If the time period T of continuously reducing the real-time insulin infusion rate exceeds the set threshold value T0, a first-level warning signal is triggered; When the blood sugar level is higher than the preset standard range, the real-time insulin infusion rate is continuously increased until the patient's blood sugar level is within the standard range. If the time period T of the continuous increase in the real-time insulin infusion rate exceeds the set threshold T0, a secondary warning signal is triggered; S4. If a level 1 warning signal is received, the signal is fed back to the nurse station to prompt the patient to perform the injection strategy and inject glucose into the patient. If a secondary warning signal is received, the signal will be fed back to the nurse station, and a prompt and suggestion strategy will be implemented, suggesting reducing the intake of carbohydrates in meals.

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