Automatic adjusting method and device for insulin basic rate and first equipment

Abstract

The invention relates to an automatic adjusting method and device for the insulin basic rate and first device.The method is applied to the first device and comprises the steps that an initial basic rate and a first control instruction corresponding to the initial basic rate are generated according to basic data and historical blood glucose data corresponding to a target object at the current moment; after execution of the first control instruction is finished, a blood glucose change curve of the target object is obtained; when the blood glucose change curve is obtained, if the blood glucose change curve does not meet the first preset condition, the blood glucose change curve serves as historical blood glucose data of the next moment, and an adjustment scheme of the initial basic rate is generated. According to the method and the device, the problems of poor basic rate accuracy, incapability of automatic adjustment and inconvenience in use due to influence of human factors in related technologies are solved, the initial basic rate is automatically calculated and automatically adjusted, the accuracy of the initial basic rate of insulin can be improved, and the use of a user is facilitated.

Description

Technical Field

[0001] The present application relates to the field of medical device technology, and in particular to a method, device and first apparatus for automatically adjusting the basal rate of insulin. Background Art

[0002] At present, medical devices will have initial parameters set after leaving the factory, but the basal rate in the medical device is empty. The current way to set the basal rate is to manually set the basal rate according to the user guide and personal experience; for example, for the basal rate of an insulin pump, if the total amount of insulin used by the patient before is 30U, 50% is generally allocated to the large dose, and 50% (15U) is allocated to the basal rate. Then, according to the patient's basic situation and the doctor's personal experience, the 15U basal rate is segmented and allocated to 24 hours. Taking the 1-segment method as an example, the doctor allocates 15U to 24 hours on average, and the initial basal rate is set to 0.625U / h; if other segmentation methods are used, the hourly rate is slightly different. The defects of this basal rate setting method are: affected by human factors, the basal rate is poor in accuracy, and it will not be automatically adjusted, which is inconvenient to use.

[0003] There is no effective solution to the problem that the related technology is affected by human factors, has poor basic rate accuracy, does not automatically adjust, and is inconvenient to use. Summary of the invention

[0004] In this embodiment, a method, an apparatus and a first device for automatically adjusting the basal rate of insulin are provided to solve the problems in the related art that the basal rate is affected by human factors, the accuracy is poor, and it cannot be adjusted automatically, which is inconvenient to use.

[0005] In a first aspect, a method for automatically adjusting the basal rate of insulin is provided in this embodiment, and the method is applied to a first device; the method comprises:

[0006] Generate an initial basal rate and a first control instruction corresponding to the initial basal rate according to the basal data and historical blood sugar data corresponding to the target object at the current moment;

[0007] After the execution of the first control instruction is completed, obtaining a blood sugar change curve of the target object;

[0008] When the blood sugar change curve is obtained, if the blood sugar change curve does not meet the first preset condition, the blood sugar change curve is used as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate.

[0009] In some embodiments, the method further comprises:

[0010] After obtaining the blood sugar change of the target object, if the blood sugar change cannot be obtained, the historical blood sugar data at the current moment is used as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate.

[0011] In some embodiments, generating an initial basal rate and a first control instruction corresponding to the initial basal rate according to the basal data and historical blood glucose data corresponding to the target object at the current moment includes:

[0012] Obtaining the basic data and historical blood sugar data corresponding to the target subject at the current moment; the basic data includes medication type, weight and age;

[0013] Determine a sensitivity coefficient based on the basic data;

[0014] Determine a 24-hour average target blood sugar value based on the historical blood sugar data;

[0015] An initial basal rate and a first control instruction corresponding to the initial basal rate are generated according to the historical blood sugar data, the sensitivity coefficient and the average target blood sugar value.

[0016] In some embodiments, the method further comprises:

[0017] After generating an initial basal rate and a first control instruction corresponding to the initial basal rate, determining whether to import the initial basal rate in response to a user operation; the initial basal rate is a basal rate curve formed by an average usage over 24 hours;

[0018] If imported, the initial basal rate will be used as the recommended solution at the current moment.

[0019] In some embodiments, obtaining the historical blood glucose data corresponding to the target object at the current moment includes:

[0020] Before using the first device, in the case where the user uses the medicine by himself, obtaining first blood glucose data corresponding to the medicine used by the user by himself as historical blood glucose data;

[0021] Or, before using the first device, when using a dynamic blood glucose monitoring system, second blood glucose data of the dynamic blood glucose monitoring system is obtained as historical blood glucose data.

[0022] In some embodiments, if the blood glucose change curve does not meet the first preset condition, the blood glucose change curve is used as the historical blood glucose data at the next moment to generate an adjustment plan for the initial basal rate, including:

[0023] If the measured blood sugar data in the blood sugar change curve is not within the preset target range, or the fluctuation amplitude of the measured blood sugar data in the blood sugar change curve is greater than or equal to the preset fluctuation threshold, the blood sugar change curve is used as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate.

[0024] In some embodiments, the method further comprises:

[0025] If the blood sugar change curve meets the first preset condition, the historical blood sugar data at the current moment is used as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate.

[0026] In a second aspect, in this embodiment, a device for automatically adjusting the basal rate of insulin is provided, the device is applied to a first device, and the device includes: a first calculation module, an acquisition module, and a second calculation module;

[0027] The first calculation module is used to generate an initial basal rate and a first control instruction corresponding to the initial basal rate according to the basal data and historical blood sugar data corresponding to the target object at the current moment;

[0028] The acquisition module is used to acquire the blood sugar change curve of the target object after the execution of the first control instruction is completed;

[0029] The second calculation module is used to, when the blood sugar change curve is obtained, if the blood sugar change curve does not meet the first preset condition, use the blood sugar change curve as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate.

[0030] In a third aspect, a computer device is provided in this embodiment, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for automatically adjusting the basal insulin rate described in the first aspect is implemented.

[0031] In a fourth aspect, in this embodiment, a storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, the method for automatically adjusting the basal insulin rate described in the first aspect above is implemented.

[0032] Compared with the related art, the method, apparatus and first device for automatic adjustment of the basal rate of insulin provided in this embodiment, wherein the method is applied to the first device; including generating an initial basal rate and a first control instruction corresponding to the initial basal rate according to the basal data and historical blood sugar data corresponding to the target object at the current moment; obtaining the blood sugar change curve of the target object after the execution of the first control instruction; when the blood sugar change curve is obtained, if the blood sugar change curve does not meet the first preset condition, the blood sugar change curve is used as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate, which solves the problems in the related art that the basal rate is affected by human factors, the accuracy of the basal rate is poor, and it will not adjust automatically, which is inconvenient to use, and realizes automatic calculation of the initial basal rate and automatic adjustment of the initial basal rate, which can improve the accuracy of the initial basal rate of insulin and facilitate user use.

[0033] Details of one or more embodiments of the present application are set forth in the following drawings and description to make other features, objects, and advantages of the present application more readily apparent. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0035] Figure 1 It is a hardware structure block diagram of a terminal device for an automatic adjustment method of insulin basal rate provided in an embodiment of the present application;

[0036] Figure 2 is a flow chart of a method for automatically adjusting the basal insulin rate provided by an embodiment of the present application;

[0037] Figure 3 is a structural schematic diagram of a first device provided in an embodiment of the present application;

[0038] Figure 4 is a structural schematic diagram of a first device provided in another embodiment of the present application;

[0039] Figure 5 yes Figure 2 Flow chart of step S210;

[0040] Figure 6 It is a structural block diagram of an automatic adjustment device for insulin basal rate provided in one embodiment of the present application.

[0041] In the figure: 102, processor; 104, memory; 106, transmission device; 108, input and output device; 210, first computing module; 220, acquisition module; 230, second computing module. DETAILED DESCRIPTION

[0042] In order to more clearly understand the purpose, technical solutions and advantages of the present application, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments.

[0043] Unless otherwise defined, the technical terms or scientific terms involved in this application shall have the general meaning understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the", "these" and the like in this application do not represent quantitative restrictions, and they can be singular or plural. The terms "include", "comprise", "have" and any variants thereof involved in this application are intended to cover non-exclusive inclusions; for example, a process, method and system, product or device comprising a series of steps or modules (units) is not limited to the listed steps or modules (units), but may include unlisted steps or modules (units), or may include other steps or modules (units) inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether directly or indirectly. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there can be three relationships. For example, "A and / or B" can mean: A exists alone, A and B exist at the same time, and B exists alone. Usually, the character " / " indicates that the objects associated with each other are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.

[0044] The method embodiment provided in this embodiment can be executed in a terminal, a computer or a similar computing device. For example, running on a terminal, Figure 1 FIG. 1 is a hardware structure block diagram of a terminal for the automatic adjustment method of the insulin basal rate of this embodiment. Figure 1 As shown, the terminal may include one or more ( Figure 1 Only one is shown in the figure) processor 102 and memory 104 for storing data, wherein processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA. The above terminal may also include a transmission device 106 and an input and output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown.

[0045] The memory 104 can be used for storing computer programs, for example, software programs and modules of application software, such as the computer programs corresponding to the automatic adjustment method for insulin basal rate in the present embodiment, and the processor 102 executes various functional applications and data processing by running the computer programs stored in the memory 104, that is, realizing the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory or other non-volatile solid-state memory. In some instances, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network and a combination thereof.

[0046] The transmission device 106 is used to receive or send data via a network. The above network includes a wireless network provided by the communication provider of the terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (Radio Frequency, referred to as RF) module, which is used to communicate with the Internet wirelessly.

[0047] In this embodiment, a method for automatically adjusting the basal rate of insulin is provided, which is applicable to a first device. Figure 2 is a flow chart of the method for automatically adjusting the basal insulin rate of this embodiment, such as Figure 2 As shown, the process includes the following steps:

[0048] Step S210, generating an initial basal rate and a first control instruction corresponding to the initial basal rate according to the basal data and historical blood sugar data corresponding to the target subject at the current moment;

[0049] Step S220, after the first control instruction is executed, obtaining a blood sugar change curve of the target object;

[0050] Step S230, when the blood sugar change curve is obtained, if the blood sugar change curve does not meet the first preset condition, the blood sugar change curve is used as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate.

[0051] It should be noted that the first device can be a client, an injection device, etc.; injection devices include but are not limited to insulin pumps, infusion pumps or nutrition pumps, etc. If it is a client, the calculated results (initial basal rate, first control instructions and adjustment plan, etc.) will be transmitted to the target device to complete the setting of the target device. If the first device is an injection device, and the injection device has a built-in processing module as a component of the injection device, such as Figure 3 If the injection device does not have a built-in processing module, such as Figure 4 As shown. The above steps can be performed in the external processing module, and after the calculation results are obtained, they are transmitted to the injection device to complete the setting; the external processing module is connected to the injection device by wireless means (which can be WiFi, Bluetooth or NFC, etc.). The external processing module can be a mobile terminal, and one mobile terminal can be connected to multiple injection devices, which can reduce hardware costs.

[0052] Among them, by setting the allocation strategy, setting the calculation formula or the neural network model, the basic data and historical blood sugar data corresponding to the target object at the current moment are processed accordingly, so as to generate the initial basal rate and the first control instruction corresponding to the initial basal rate. The corresponding device will execute according to the first control instruction corresponding to the initial basal rate, thereby automatically completing the setting of the initial basal rate.

[0053] For example, the allocation strategy according to the setting can be: the total injection volume of the basic data is allocated to the basic rate according to the preset ratio, and then the allocated injection volume is allocated to 24 hours to obtain the initial basic rate and the corresponding first control instruction. According to the setting calculation formula, it can be: the conversion formula is constructed according to the basic data and the historical blood sugar data, and then the basic data and the historical blood sugar data at the current moment are input into the conversion formula to obtain the initial basic rate and the corresponding first control instruction. The calculation formula can also be to calculate the quasi-drug amount; first, the quasi-drug amount of the target object for one week is calculated according to the calculation formula based on the basic data; for any moment of each day (each moment has seven quasi-drug amounts); the average of the seven quasi-drug amounts is obtained to obtain the average insulin amount at that moment, and then the initial basic rate formed by the average insulin amount for 24 hours and the corresponding first control instruction are obtained. According to the setting of the neural network model, it can be: the basic data and the historical blood sugar data are input into the well-trained neural network model to obtain the initial basic rate and the corresponding first control instruction. Among them, the first control instruction is used for the target device to complete the setting of the initial basic rate according to the first control instruction and operate based on the initial basic rate.

[0054] On the basis of obtaining the initial basal rate and the first control instruction, after the execution of the first control instruction, the blood glucose change curve of the target object is obtained. At this time, if the blood glucose change curve of the target object can be obtained, it means that the first device is closed-loop; then determine whether the blood glucose change curve meets the first preset condition; when the blood glucose change curve does not meet the first preset condition, the blood glucose change curve is used as the historical blood glucose data at the next moment to generate an adjustment plan for the initial basal rate; thereby achieving automatic adjustment of the initial basal rate, improving the accuracy of the initial basal rate for insulin, and facilitating user use. After obtaining the adjustment plan for the initial basal rate, information processing or analysis can be further performed according to the adjustment plan, and applied in different scenarios according to the processing results or analysis results.

[0055] In the related art, the basal rate is set manually according to the user guide and personal experience, and the basal rate will not be adjusted automatically after setting; the defects are: affected by human factors, the accuracy of the basal rate is poor, and it will not be adjusted automatically, which is inconvenient to use. However, the present application first generates an initial basal rate and a first control instruction corresponding to the initial basal rate based on the basic data and historical blood sugar data corresponding to the target object at the current moment; then generates an adjustment plan for the initial basal rate based on the blood sugar change curve obtained after execution combination; further adjusts the accuracy of the initial basal rate; solves the problem in the related art that the basal rate is affected by human factors, the accuracy of the basal rate is poor, and it will not be adjusted automatically, which is inconvenient to use, and realizes automatic calculation of the initial basal rate and automatic adjustment of the initial basal rate, which can improve the accuracy of the initial basal rate for insulin and is convenient for users to use.

[0056] The above steps are described in detail below:

[0057] In some embodiments, the method for automatically adjusting the basal rate of insulin further includes the following steps:

[0058] After obtaining the blood sugar change of the target object, if no blood sugar change is obtained, the historical blood sugar data at the current moment is used as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate.

[0059] Specifically, after obtaining the target object's blood sugar change, if no blood sugar change is found, it is considered that the first device is open-loop, and the historical blood sugar data at the current moment is used as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate. At this time, it can be considered that the initial basal rate remains unchanged, avoiding the situation where the first device cannot be used when the first device is open-loop.

[0060] In some of the embodiments, Figure 5As shown, the step S210 generates an initial basal rate and a first control instruction corresponding to the initial basal rate according to the basal data and historical blood glucose data corresponding to the target object at the current moment, including the following steps:

[0061] Step S211, obtaining the basic data and historical blood sugar data corresponding to the target subject at the current moment; the basic data includes the type of medication, weight and age;

[0062] Step S212, determining the sensitivity coefficient according to the basic data;

[0063] Step S213, determining a 24-hour average target blood sugar value based on historical blood sugar data;

[0064] Step S214, generating an initial basal rate and a first control instruction corresponding to the initial basal rate according to the historical blood glucose data, the sensitivity coefficient and the average target blood glucose value.

[0065] Specifically, in actual application, the embodiments of the present application obtain the basic data and historical blood sugar data corresponding to the target object at the current moment in a manner including but not limited to obtaining the basic data and historical blood sugar data that meet the above requirements from data pre-stored in a database; it may also be downloading the basic data and historical blood sugar data that meet the requirements from a network platform; it may also be generating the corresponding basic data and historical blood sugar data according to demand, etc. The embodiments of the present application do not limit the manner in which the basic data and historical blood sugar data are obtained.

[0066] The above process of generating the initial basal rate and the first control instruction corresponding to the initial basal rate may be considered as setting a calculation formula for calculation.

[0067] Among them, the sensitivity coefficient is equal to the coefficient of the drug type divided by (body weight*0.5*18), or divided by (body weight*0.44*18). Among them, the sensitivity coefficient is determined by the pharmacokinetic curve, and the sensitivity coefficients of different drug effects of the same drug type are also different. For example: when using rapid-acting insulin, the coefficient of the drug type is 1800; when using short-acting insulin, the coefficient of the drug type is 1500. The sensitivity coefficients of other drug types are not elaborated here one by one. 18 is the adult age; those under 18 are considered prepubertal children, and the coefficient is 0.44; those greater than or equal to 18 are considered adults, and the coefficient is 0.5.

[0068] The historical blood sugar data includes the upper and lower limits of the target blood sugar value for each hour. The average target blood sugar value for 24 hours is equal to (the upper limit of the target blood sugar value plus the lower limit of the target blood sugar value) divided by 2 for each hour.

[0069] Among them, the initial basal rate BASAL is equal to (historical blood sugar data minus the average target blood sugar value) divided by the sensitivity coefficient. Each historical blood sugar data corresponds to an initial basal rate; since the historical blood sugar data is a curve, the corresponding initial basal rate is also a curve.

[0070] In this embodiment, when the first device is an insulin pump, the setting of the insulin pump is completed according to the initial basal rate determined above as a recommended solution, and the set insulin pump executes according to the first control instruction. The 24-hour initial basal rate can meet the actual usage needs of the user and further ensure the accuracy of the initial basal rate.

[0071] In some embodiments, the method for automatically adjusting the basal rate of insulin further includes the following steps:

[0072] After generating an initial basal rate and a first control instruction corresponding to the initial basal rate, determining whether to import the initial basal rate in response to a user operation; the initial basal rate is a basal rate curve formed by an average usage for 24 hours;

[0073] If imported, the initial base rate will be used as the recommended plan at the current moment.

[0074] Specifically, whether the initial basal rate is set to the first device can be determined by the user. After the initial basal rate and the first control instruction corresponding to the initial basal rate are generated, a prompt message is sent to determine whether to import it, and the user determines; in response to the user's import operation, it is determined that the initial basal rate is imported; then the initial basal rate is used as the recommended solution at the current moment. In response to the user's non-import operation, it is determined that the initial basal rate is not imported, and the execution begins under the first control instruction according to the parameters originally set in the first setting. In this embodiment, the right to select the recommended solution is allocated to the user to ensure the reliability of the use of the first device.

[0075] In some embodiments, obtaining the historical blood glucose data corresponding to the target object at the current moment in step S221 includes the following steps:

[0076] Before using the first device, in the case where the user uses the medicine by himself, obtaining first blood glucose data corresponding to the medicine used by the user by himself as historical blood glucose data;

[0077] Or, before using the first device, when using a dynamic blood glucose monitoring system, second blood glucose data of the dynamic blood glucose monitoring system is obtained as the historical blood glucose data.

[0078] Specifically, the first device has multiple usage scenarios; the first scenario is: use the medicine by yourself first, and then use the first device. At this time, the first blood glucose data corresponding to the user's self-use of the medicine is used as the historical blood glucose data. Since the first blood glucose data corresponding to the self-use of the medicine may have missing data, the median algorithm can be used to complete the missing data, thereby ensuring the integrity of the first blood glucose data. The second scenario is: use the dynamic blood glucose monitoring system first, and then use the first device. The dynamic blood glucose monitoring system CGM can automatically monitor the user's blood glucose data, thereby ensuring the integrity of the second blood glucose data.

[0079] For example, the first device is an insulin pump, which uses long-acting insulin. In the first scenario, the user first injects long-acting insulin and then uses the insulin pump. In the second scenario, the user first injects long-acting insulin and then uses the artificial pancreas system. The artificial pancreas system includes a dynamic blood glucose monitoring system and an insulin pump. If the artificial pancreas system in the above scenario is closed-loop, an adjustment plan will be generated to automatically adjust the initial basal rate, thereby ensuring the reliability of the use of the first device.

[0080] In this embodiment, it can be applied to a variety of scenarios, lower the threshold for use, and facilitate user use.

[0081] In some embodiments, the historical blood glucose data are continuous blood glucose values ​​greater than or equal to 24 hours, and the blood glucose values ​​of the target subject during meal time periods are excluded from the historical blood glucose data.

[0082] Specifically, if the historical blood sugar data exceeds 24 hours, the blood sugar value of 24 hours can be intercepted as the historical blood sugar data, or the median algorithm can be used to supplement it to the blood sugar value of multiples of 24 hours. Of course, if the historical blood sugar data is less than 24 hours, the median algorithm can also be used to supplement it to 24 hours, and then the supplemented historical blood sugar data is used to calculate the basic data.

[0083] In this embodiment, invalid data in the historical blood glucose data is eliminated and the integrity of the historical blood glucose data is ensured, which can further improve the accuracy of the initial basal rate calculation.

[0084] In some embodiments, if the blood glucose change curve does not meet the first preset condition in step S230, the blood glucose change curve is used as the historical blood glucose data at the next moment to generate an adjustment plan for the initial basal rate, including the following steps:

[0085] If the measured blood sugar data in the blood sugar change curve is not within the preset target range, or the fluctuation amplitude of the measured blood sugar data in the blood sugar change curve is greater than or equal to the preset fluctuation threshold, the blood sugar change curve is used as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate.

[0086] Specifically, for the first device in the closed loop, the initial base rate will be automatically adjusted according to the adjustment plan to optimize the initial base rate. The specific process is:

[0087] After the execution of the first control instruction is completed, the blood sugar change curve of the target object is obtained; if the measured blood sugar data in the blood sugar change curve is not within the preset target range, or the fluctuation range of the measured blood sugar data in the blood sugar change curve is greater than or equal to the preset fluctuation threshold; then the initial basal rate is unreasonable, and steps S211 to S214 are re-executed, and the historical blood sugar data in these steps are replaced accordingly, and a new basal rate and the corresponding second control instruction are calculated, and the initial basal rate is replaced with the new basal rate. Then at the next moment, when the first setting executes the second control instruction, it will be executed according to the new basal rate.

[0088] In this embodiment, not only can the continuous adjustment of the initial basic rate be achieved, but also the stability of the use of the first device can be ensured.

[0089] In some embodiments, the method for automatically adjusting the basal rate of insulin further includes the following steps:

[0090] If the blood sugar change curve meets the first preset condition, the historical blood sugar data at the current moment is used as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate.

[0091] Specifically, if the measured blood sugar data in the blood sugar change curve is within the preset target range, and the fluctuation range of the measured blood sugar data in the blood sugar change curve is less than the preset fluctuation threshold, the initial basal rate is considered reasonable, and the historical blood sugar data at the current moment is used as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate. Of course, in other embodiments, the initial basal rate can be directly kept unchanged and used as a recommended plan as the basal rate at the next moment.

[0092] In this embodiment, the basal rate at the next moment is calculated in the same manner as the initial basal rate, which simplifies the amount of calculation and improves operating efficiency.

[0093] It should be noted that the steps shown in the above process or the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0094] In this embodiment, a basic data setting device is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. The terms "module", "unit", "subunit" and the like used below can implement a combination of software and / or hardware of predetermined functions. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware is also possible and conceivable.

[0095] Figure 6 is a structural block diagram of the automatic adjustment device for the basal insulin rate of this embodiment, such as Figure 6 As shown, the device includes: a first calculation module 210, an acquisition module 220 and a second calculation module 230;

[0096] A first calculation module 210, configured to generate an initial basal rate and a first control instruction corresponding to the initial basal rate according to the basal data and historical blood glucose data corresponding to the target object at the current moment;

[0097] An acquisition module 220 is used to acquire a blood sugar change curve of a target object after the first control instruction is executed;

[0098] The second calculation module 230 is used to, when the blood sugar change curve is obtained, if the blood sugar change curve does not meet the first preset condition, use the blood sugar change curve as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate.

[0099] The above device solves the problems in the related technology of poor basal rate accuracy, inability to adjust automatically, and inconvenience in use due to human factors. The device realizes automatic calculation of the initial basal rate and automatic adjustment of the initial basal rate, which can improve the accuracy of the initial basal rate of insulin and facilitate user use.

[0100] In some of these embodiments, the automatic adjustment device for the basal insulin rate further includes an adjustment module;

[0101] The adjustment module is used to, after obtaining the blood sugar change of the target object, use the historical blood sugar data at the current moment as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate when no blood sugar change can be obtained.

[0102] In some of the embodiments, the first calculation module 210 is further used to obtain the basic data and historical blood sugar data corresponding to the target object at the current moment; the basic data includes the type of medication, weight and age;

[0103] Determine the sensitivity coefficient based on basic data;

[0104] Determine the average target blood sugar value for 24 hours based on historical blood sugar data;

[0105] An initial basal rate and a first control instruction corresponding to the initial basal rate are generated according to historical blood sugar data, a sensitivity coefficient and an average target blood sugar value.

[0106] In some of these embodiments, the automatic adjustment device for the basal insulin rate further includes an introduction module;

[0107] An import module is used to determine whether to import the initial basal rate in response to a user operation after generating an initial basal rate and a first control instruction corresponding to the initial basal rate; the initial basal rate is a basal rate curve formed by an average usage of 24 hours;

[0108] If imported, the initial base rate will be used as the recommended plan at the current moment.

[0109] In some of the embodiments, the first calculation module 210 is further used to obtain first blood glucose data corresponding to the self-use of the drug by the user as the historical blood glucose data when the user uses the drug by himself before using the first device;

[0110] Or, before using the first device, when using a dynamic blood glucose monitoring system, second blood glucose data of the dynamic blood glucose monitoring system is obtained as the historical blood glucose data.

[0111] In some embodiments, the second calculation module 230 is further configured to use the blood glucose change curve as the historical blood glucose data at the next moment to generate an adjustment plan for the initial basal rate if the blood glucose change curve does not meet the first preset condition, including:

[0112] If the measured blood sugar data in the blood sugar change curve is not within the preset target range, or the fluctuation amplitude of the measured blood sugar data in the blood sugar change curve is greater than or equal to the preset fluctuation threshold, the blood sugar change curve is used as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate.

[0113] In some of the embodiments, the automatic adjustment device for the basal rate of insulin further includes a third processing module;

[0114] The third processing module is used to use the historical blood sugar data at the current moment as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate if the blood sugar change curve meets the first preset condition.

[0115] It should be noted that the above modules can be functional modules or program modules, and can be implemented by software or hardware. For modules implemented by hardware, the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0116] In this embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0117] Optionally, the computer device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0118] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0119] S1, generating an initial basal rate and a first control instruction corresponding to the initial basal rate according to the basal data and historical blood sugar data corresponding to the target object at the current moment;

[0120] S2, after the first control instruction is executed, obtaining a blood sugar change curve of the target object;

[0121] S3, when the blood sugar change curve is obtained, if the blood sugar change curve does not meet the first preset condition, the blood sugar change curve is used as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate.

[0122] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementation modes, and will not be repeated in this embodiment.

[0123] In addition, in combination with the automatic adjustment method for the basal rate of insulin provided in the above embodiments, a storage medium can also be provided in this embodiment to implement the method. The storage medium stores a computer program; when the computer program is executed by the processor, any one of the automatic adjustment methods for the basal rate of insulin in the above embodiments is implemented.

[0124] It should be understood that the specific embodiments described herein are only used to explain the application, rather than to limit it. Based on the embodiments provided in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the protection scope of this application.

[0125] Obviously, the drawings are only some examples or embodiments of the present application. For ordinary technicians in the field, the present application can also be applied to other similar situations based on these drawings without creative work. In addition, it is understandable that although the work done in this development process may be complicated and lengthy, for ordinary technicians in the field, certain changes in design, manufacturing or production based on the technical content disclosed in this application are only conventional technical means and should not be regarded as insufficient content disclosed in this application.

[0126] The term "embodiment" in this application refers to a specific feature, structure or characteristic described in conjunction with the embodiment that can be included in at least one embodiment of the present application. The appearance of this phrase in various locations in the specification does not necessarily mean the same embodiment, nor does it mean that it is mutually exclusive with other embodiments and is independent or optional. It is clearly or implicitly understood by those of ordinary skill in the art that the embodiments described in this application can be combined with other embodiments without conflict.

[0127] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of patent protection. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the scope of protection of the present application. Therefore, the scope of protection of the present application shall be subject to the attached claims.

Claims

1. A method for automatically adjusting the basal rate of insulin, characterized in that: The method is applied to a first device; the method comprises: Generate an initial basal rate and a first control instruction corresponding to the initial basal rate according to the basal data and historical blood sugar data corresponding to the target object at the current moment; After the execution of the first control instruction is completed, obtaining a blood sugar change curve of the target object; When the blood sugar change curve is obtained, if the blood sugar change curve does not meet the first preset condition, the blood sugar change curve is used as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate.

2. The method for automatically adjusting the basal rate of insulin according to claim 1, characterized in that: The method further comprises: After obtaining the blood sugar change of the target object, if the blood sugar change cannot be obtained, the historical blood sugar data at the current moment is used as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate.

3. The method for automatically adjusting the basal rate of insulin according to claim 1, characterized in that: The step of generating an initial basal rate and a first control instruction corresponding to the initial basal rate according to the basal data and historical blood sugar data corresponding to the target object at the current moment includes: Obtaining the basic data and historical blood sugar data corresponding to the target subject at the current moment; the basic data includes medication type, weight and age; Determine a sensitivity coefficient based on the basic data; Determine a 24-hour average target blood sugar value based on the historical blood sugar data; An initial basal rate and a first control instruction corresponding to the initial basal rate are generated according to the historical blood sugar data, the sensitivity coefficient and the average target blood sugar value.

4. The method for automatically adjusting the basal rate of insulin according to claim 3, characterized in that: The method further comprises: After generating an initial basal rate and a first control instruction corresponding to the initial basal rate, determining whether to import the initial basal rate in response to a user operation; the initial basal rate is a basal rate curve formed by an average usage over 24 hours; If imported, the initial basal rate will be used as the recommended solution at the current moment.

5. The method for automatically adjusting the basal rate of insulin according to claim 2, characterized in that: The step of obtaining the historical blood sugar data corresponding to the target object at the current moment includes: Before using the first device, in the case where the user uses the medicine by himself, obtaining first blood glucose data corresponding to the medicine used by the user by himself as historical blood glucose data; Or, before using the first device, when using a dynamic blood glucose monitoring system, second blood glucose data of the dynamic blood glucose monitoring system is obtained as historical blood glucose data.

6. The method for automatically adjusting the basal rate of insulin according to claim 1, characterized in that: If the blood sugar change curve does not meet the first preset condition, the blood sugar change curve is used as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate, including: If the measured blood sugar data in the blood sugar change curve is not within the preset target range, or the fluctuation amplitude of the measured blood sugar data in the blood sugar change curve is greater than or equal to the preset fluctuation threshold, the blood sugar change curve is used as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate.

7. The method for automatically adjusting the basal rate of insulin according to claim 1, characterized in that: The method further comprises: If the blood sugar change curve meets the first preset condition, the historical blood sugar data at the current moment is used as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate.

8. An automatic adjustment device for the basal rate of insulin, characterized in that: The device is applied to a first device, and comprises: a first calculation module, an acquisition module and a second calculation module; The first calculation module is used to generate an initial basal rate and a first control instruction corresponding to the initial basal rate according to the basal data and historical blood sugar data corresponding to the target object at the current moment; The acquisition module is used to acquire the blood sugar change curve of the target object after the execution of the first control instruction is completed; The second calculation module is used to, when the blood sugar change curve is obtained, if the blood sugar change curve does not meet the first preset condition, use the blood sugar change curve as the historical blood sugar data at the next moment to generate an adjustment plan for the initial basal rate.

9. A first device, comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps of the method for automatically adjusting the basal insulin rate according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for automatically adjusting the basal insulin rate according to any one of claims 1 to 7 are implemented.

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