Blood glucose monitoring method, device and equipment and storage medium

Abstract

The invention discloses a blood glucose monitoring method, device and equipment and a storage medium, and relates to the technical field of blood glucose monitoring, and the blood glucose monitoring method comprises the following steps: continuously collecting a plurality of blood glucose values of a target user before meals every day; acquiring a plurality of daily fluctuation parameters based on the plurality of daily blood glucose values, wherein the fluctuation parameters are used for representing the blood glucose fluctuation condition of the target user; obtaining the daily blood glucose statistics and the corresponding control limit of the target user through the multiple daily fluctuation parameters; obtaining a continuous blood glucose control chart of the target user according to the daily blood glucose statistics of the target user and the corresponding control limit, and monitoring the blood glucose of the target user according to the continuous blood glucose control chart. According to the method, the blood glucose values of multiple days can be dynamically processed through the multiple fluctuation parameters, the static data are converted into the continuous dynamic control chart according to the multiple fluctuation parameters, and the blood glucose data of the target user in a period of time are subjected to relation analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of blood sugar monitoring, and in particular to a blood sugar monitoring method, device, equipment and storage medium. Background Art

[0002] One in three people worldwide is at risk of developing diabetes, and it is estimated that the number of people with diabetes will double in the next three decades. It occurs when the pancreas does not produce enough insulin or the body cannot effectively use the insulin it produces. Since insulin is a hormone that regulates blood sugar, insufficient insulin leads to hyperglycemia, or elevated blood sugar, which over time can cause serious damage to many systems in the body, especially nerves and blood vessels. More seriously, complications of diabetes can lead to blindness, kidney failure, heart attack, stroke, and lower limb amputation.

[0003] Since the incubation period of prediabetes is long and the human body does not have obvious discomfort, and the course of diabetes patients can be as long as decades, the measurement and monitoring of individual blood sugar is a common treatment method in clinical practice. However, traditional blood sugar monitoring methods usually rely on manual measurement, which only statically observes whether the blood sugar data at a single time is abnormal. However, blood sugar changes dynamically, and the blood sugar data at a single time cannot reflect the dynamic changes of the patient's blood sugar, thereby increasing the risk of complications and making it difficult for doctors to adjust treatment plans in a timely manner. Summary of the invention

[0004] Based on the defects of the above-mentioned prior art, the present invention provides a blood glucose monitoring method, device, equipment and storage medium, which solves the problem that the prior method directly analyzes the patient's blood glucose through a blood glucose meter, only statically observes whether the blood glucose data at each single time is abnormal, and the blood glucose data at a single time cannot reflect the dynamic changes of the patient's blood glucose.

[0005] The present invention adopts the following technical solutions:

[0006] In a first aspect, the present invention provides a blood glucose monitoring method, comprising the following steps:

[0007] Continuously collect multiple blood sugar values ​​of the target user before meals every day;

[0008] Based on the multiple blood glucose values ​​of each day, a plurality of fluctuation parameters of each day are obtained, wherein the fluctuation parameters are used to characterize the blood glucose fluctuation of the target user; and the blood glucose statistics and corresponding control limits of the target user are obtained through the multiple fluctuation parameters of each day.

[0009] A continuous blood glucose control chart of the target user is obtained according to the target user's daily blood glucose statistics and the corresponding control limits, and the blood glucose of the target user is monitored according to the continuous blood glucose control chart.

[0010] Preferably, the multiple fluctuation parameters of each day are obtained based on the multiple blood sugar values ​​of each day, as follows:

[0011] As shown:

[0012]

[0013] In the formula, is the mean blood sugar level of the target user on the i-th day, X in is the target user's blood sugar value at the nth time point on the i-th day, is the target user's blood sugar variance on day i, X ij is the target user’s blood glucose value at the jth time point on the i-th day.

[0014] Preferably, the method of obtaining the target user's daily blood glucose statistics and corresponding control limits through multiple daily fluctuation parameters specifically includes the following steps:

[0015] Obtain corresponding independent statistics based on the target user's daily blood sugar mean and variance;

[0016] Obtain the target user's daily blood sugar statistics based on two consecutive days of independent statistics;

[0017] The mean and variance of the target user's daily blood glucose statistics are fitted to obtain the target user's daily control limits.

[0018] Preferably, the corresponding independent statistics are obtained according to the mean and variance of the target user's daily blood sugar level, as shown below:

[0019]

[0020] Where U i and V i are the independent mean statistics and independent variance statistics of the target user’s blood glucose value on the i-th day, u0 is the mean blood glucose value of the target user when blood glucose is normal, σ0 is the standard deviation of blood glucose value when blood glucose is normal, φ -1 (·) is the symbol of the inverse function of the standard normal distribution function, and H(·) is the symbol of the chi-square distribution function.

[0021] Preferably, the daily blood glucose statistics of the target user are obtained based on independent statistics for two consecutive days, as shown below:

[0022] A i =λW i +(1-λ)A (i-1) ,i=1,2,…,;

[0023] Where W i is the maximum absolute value of the independent mean statistic of blood glucose and the independent variance statistic of blood glucose, Ai is the target user’s blood glucose statistic on the i-th day, and λ is the smoothing coefficient.

[0024] Preferably, the mean and variance of the target user's daily blood glucose statistics are fitted to obtain the target user's daily control limits, as shown below:

[0025]

[0026] in,

[0027]

[0028] In the formula, UCL FM It is the control limit used to observe whether the target user's daily blood sugar is out of control. i ) is the mean of the target user’s blood glucose statistics, Var(A i ) is the variance of the target user’s blood glucose statistic, κ is the control chart coefficient, f,a is the coefficient of introducing the rapid initial response technology, and t is the number of days for blood glucose measurement.

[0029] In a second aspect, the present invention further provides a blood glucose monitoring device, comprising:

[0030] A collection module, used to continuously collect multiple blood sugar values ​​of the target user before meals every day;

[0031] A calculation module, used to obtain multiple fluctuation parameters of each day based on multiple blood glucose values ​​of each day, wherein the fluctuation parameters are used to characterize the blood glucose fluctuation of the target user; and to obtain the target user's daily blood glucose statistics and corresponding control limits through the multiple fluctuation parameters of each day;

[0032] The monitoring module is used to obtain a continuous blood glucose control chart of the target user based on the target user's daily blood glucose statistics and the corresponding control limits, and monitor the target user's blood glucose based on the continuous blood glucose control chart.

[0033] In a third aspect, the present invention provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned blood glucose monitoring method when executing the program.

[0034] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the storage medium stores a computer program, and the computer program implements the above-mentioned blood glucose monitoring method when executed by a processor.

[0035] Compared with the prior art, at least one of the above technical solutions adopted by the present invention can achieve the following beneficial effects:

[0036] The present invention first continuously collects multiple blood sugar values ​​of the target user before meals every day, and obtains multiple fluctuation parameters for characterizing the target user's blood sugar fluctuations based on the multiple blood sugar values ​​every day. Compared with the existing method of statically observing whether the blood sugar data at a single time is abnormal, the present invention can dynamically process the blood sugar values ​​of multiple days through multiple fluctuation parameters. The target user's daily blood sugar statistics and corresponding control limits are obtained through multiple fluctuation parameters; the target user's continuous blood sugar control chart is obtained according to the target user's daily blood sugar statistics and corresponding control limits, and the target user's blood sugar is monitored according to the continuous blood sugar control chart. The present invention can convert static data into a continuous dynamic control chart according to multiple fluctuation parameters, and conduct a connection analysis of the target user's blood sugar data for a period of time, which reflects the dynamic changes in the patient's blood sugar and reduces the risk of complications. Doctors can adjust the treatment plan in time according to these changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 is a flow chart of a blood glucose monitoring method of the present invention;

[0039] Figure 2 This is a graph showing the blood sugar levels and control chart before meals for a patient in an embodiment of the present invention for 13 consecutive days. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] 1. Explanatory Examples In order to enable those skilled in the art to fully understand how to implement the present invention, this section provides an illustrative example that expands and describes the technical solution of the claims.

[0042] In order to solve the deficiencies of the prior art, the present invention provides a blood glucose monitoring method, specifically a new dynamic monitoring method for jointly monitoring blood glucose mean fluctuation and variance stability. The basic assumptions proposed are as follows:

[0043] Normal blood sugar data is usually considered to be normally distributed. u0=0,σ0=1, when δ is 0 and ρ is 1, it means that blood sugar is under control, otherwise it is too high or too low. Blood sugar measurement values ​​are independent of each other.

[0044] Figure 1 A flow chart of a blood glucose monitoring method of the present invention is shown below. Figure 1 A blood glucose monitoring method provided by an embodiment of the present invention is described in detail, which specifically includes the following steps:

[0045] Step 1: Continuously collect the target user’s blood sugar levels before three meals every day.

[0046] Use X ij represents the measured value of blood sugar, i represents the day, j = 1, 2, 3…n represents the number of times blood sugar is measured in a day. Determine the time point of blood sugar measurement of the target user in a day. For example, if the target user measures blood sugar three times a day before meals, the blood sugar observation values ​​of the target user on the first day are expressed as: 11 , X 12 and X 13 .

[0047] Step 2: Based on the multiple blood glucose values, multiple fluctuation parameters are obtained to characterize the blood glucose fluctuation of the target user.

[0048] The present invention selects blood glucose mean and variance as fluctuation parameters for characterizing the blood glucose fluctuation of target users. Blood glucose mean reflects the average blood glucose level in a period of time. For diabetic patients, the ideal average blood glucose level helps to evaluate the long-term blood glucose control effect. Blood glucose variance reflects the fluctuation of blood glucose level. High variance means large blood glucose fluctuations, which may lead to an increase in hypoglycemia or hyperglycemia events. Monitoring variance can help understand the stability of blood glucose control of target users. If the target user's blood glucose variance is monitored to increase, it may be necessary to adjust the treatment plan, such as changing the insulin dose, adjusting the diet or increasing exercise to reduce fluctuations.

[0049] Calculate the mean and variance of the target user's daily blood sugar:

[0050]

[0051] In the formula, is the mean blood sugar level of the target user on the i-th day, X in is the target user's blood sugar value at the nth time point on the i-th day, is the target user's blood sugar variance on day i, X ij is the target user’s blood glucose value at the jth time point on the i-th day.

[0052] Step 3: Obtain the target user's daily blood glucose statistics and corresponding control limits through multiple fluctuation parameters.

[0053] Obtain the corresponding independent statistics based on the target user's daily blood sugar mean and variance:

[0054]

[0055] Where U i and V i are the independent mean statistics and independent variance statistics of the target user's blood sugar values ​​measured every day. u0 is the mean blood sugar value when the target user's blood sugar is normal, σ0 is the standard deviation of the blood sugar value when the target user's blood sugar is normal, φ -1 (·) is the sign of the inverse function of the standard normal distribution function, H(·) is the sign of the chi-square distribution function, and the patient measures blood sugar n times a day.

[0056] Obtain the target user's daily blood sugar statistics A based on two consecutive days of independent statistics i :

[0057] W i =max{|U i |,|V i |};

[0058] A i =λW i +(1-λ)A (i-1) ,i=1,2,...,;

[0059] Where W i It is the maximum absolute value of the independent mean statistic of blood glucose and the independent variance statistic of blood glucose. i It is the statistic of the target user's blood sugar on the i-th day reflected in the control chart, taking into account the mean change and variance change of blood sugar, as well as the impact of the blood sugar statistic on the i-1th day. Based on the degree of influence of the blood sugar on the i-1th day on the blood sugar on the i-th day, it prevents small adverse changes in the target user's blood sugar from going undetected, so the coefficient λ is attached, λ∈[0,1].

[0060] Fit the mean and variance of the target user's daily blood sugar statistics to obtain the target user's daily control limits:

[0061]

[0062] In the formula, UCL FM It is the control limit used to observe whether the target user's blood sugar is out of control. When the target user's blood sugar control exceeds the control limit, the blood sugar is out of control. i ) is the mean of the target user’s blood glucose statistics, Var(A i) is the variance of the target user's blood glucose statistics. κ is the control chart coefficient, which is 2.41. f is the proportional coefficient of the fast initial response, which is 0.40. a is the adjustment parameter of the fast initial response, which is 0.40. The fast initial response technology can compress the control limit at the first t time points and detect the abnormal blood glucose of the target user more quickly. t is the day of blood glucose measurement, for example: on the third day of blood glucose measurement, t is 3.

[0063] Step 4: Obtain a continuous blood glucose control chart of the target user based on the target user's daily blood glucose statistics and the corresponding control limits, and monitor the target user's blood glucose based on the continuous blood glucose control chart.

[0064] Comparing the blood sugar statistics and the blood sugar control limit of the new dynamic monitoring method for jointly monitoring the mean fluctuation and variance stability of blood sugar, if A i >UCL FM If the blood sugar level is too high or too low, necessary corresponding measures should be taken.

[0065] According to the previously calculated independent statistics, if |U i |>|V i |, the mean blood sugar level will shift and lead to blood sugar out of control. Specifically, U i >0 indicates an increase in mean value (m+), U i <0 means the mean decreases (m-). i |<|V i |, the blood sugar variance will shift and cause blood sugar to lose control. i >0 indicates an increase in variance (v+), V i <0 means variance reduction (v-).

[0066] 2. Evidence of the effects of the embodiments The embodiments of the present invention have achieved some positive effects during the development or use process, and indeed have great advantages over the prior art, which are described below in conjunction with the data and charts of the test process.

[0067] The present invention is further described by taking the pre-meal blood glucose data of a patient for 13 consecutive days as an example.

[0068] Table 1 Observed blood sugar values ​​before meals for a patient for 13 consecutive days

[0069] Serial number morning middle Night 1 7.4 7. 5.3 2 9.6 14.3 12.2 3 8.7 8.9 6.2 4 7.3 11.4 4.6 5 6.4 5.4 5.7 6 6.2 5.4 6.3 7 5.5 4.3 4.9 8 5.5 3.9 6.3 9 5.9 4.4 4.9 10 6.4 4.7 6.3 11 6.4 4.1 6.4 12 5.2 4.6 4.5 13 6.0 5.4 6.2

[0070] According to the given parameters, the smoothing coefficient λ=0.05; the fast initial response proportional coefficient f=0.4; a is 0.4; t is 1 to 13, because blood glucose is measured for a total of 13 days; κ=2.41.

[0071] Combined with the patient's 13-day pre-meal blood sugar measurement data, a blood sugar control chart of the patient monitored by a new dynamic monitoring method that jointly monitors blood sugar mean fluctuations and variance stability is generated;

[0072] Based on the patient's pre-meal blood sugar data three times a day in the morning, noon and evening, the patient's daily blood sugar mean and variance were calculated.

[0073] According to the mean and variance of the patient's daily blood sugar, calculate the independent statistic U corresponding to the patient's daily i and V i .

[0074] Using the formula given above, calculate the patient's blood sugar statistic A i .

[0075] According to the previous control limit formula, calculate the patient's blood sugar control limit UCL FM .

[0076] According to the calculated statistic A i and control limit UCL FM , draw the patient's blood sugar control chart for these 13 days, such as Figure 2 shown.

[0077] From the monitoring effect of the control chart, the blood sugar statistics from point 2 to point 8 are beyond the control limit, indicating that blood sugar is high or low. From the perspective of blood sugar mean, the second and third days are out of control due to the increase in blood sugar mean (m+), while the eighth day is out of control due to the decrease in blood sugar mean (m-). From the perspective of blood sugar variance, there is a problem of increased blood sugar variance (v+) on the fourth day, while the patients on the 5th, 6th, and 7th days are due to reduced blood sugar variance (v-). However, if the doctor's requirements for the patient's pre-meal blood sugar: 5-8mmol / L (normal pre-meal blood sugar value; 3.9-6.1mmol / L), only refer to static data, then the patient's blood sugar from the 5th to the 8th day does not exceed the control limit. Therefore, the new dynamic monitoring method for jointly monitoring blood sugar mean fluctuations and variance stability can provide advice to doctors on whether they need to modify the treatment plan for the patient.

[0078] Based on the same concept, the present invention also provides a blood sugar monitoring device, including a collection module, a calculation module and a monitoring module.

[0079] The collection module is used to continuously collect multiple blood sugar values ​​of the target user before meals every day.

[0080] The calculation module is used to obtain multiple daily fluctuation parameters based on multiple daily blood sugar values, and the fluctuation parameters are used to characterize the blood sugar fluctuation of the target user; the target user's daily blood sugar statistics and corresponding control limits are obtained through the multiple daily fluctuation parameters.

[0081] The monitoring module is used to obtain a continuous blood glucose control chart of the target user based on the target user's daily blood glucose statistics and the corresponding control limits, and monitor the target user's blood glucose based on the continuous blood glucose control chart.

[0082] The present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the above-mentioned blood glucose monitoring method is implemented when the processor executes the program.

[0083] The present invention also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned blood glucose monitoring method is implemented.

[0084] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0085] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A blood glucose monitoring method, characterized in that: The following steps are involved: Continuously collect multiple blood sugar values ​​of the target user before meals every day; Based on the multiple blood glucose values ​​of each day, a plurality of fluctuation parameters of each day are obtained, wherein the fluctuation parameters are used to characterize the blood glucose fluctuation of the target user; and the blood glucose statistics and corresponding control limits of the target user are obtained through the multiple fluctuation parameters of each day. A continuous blood glucose control chart of the target user is obtained according to the target user's daily blood glucose statistics and the corresponding control limits, and the blood glucose of the target user is monitored according to the continuous blood glucose control chart.

2. A blood glucose monitoring method as claimed in claim 1, characterized in that: The multiple fluctuation parameters include a mean and a variance. The multiple fluctuation parameters of each day are obtained based on the multiple blood sugar values ​​of each day, as shown below: In the formula, is the mean blood sugar level of the target user on the i-th day, X in is the target user's blood sugar value at the nth time point on the i-th day, is the target user's blood sugar variance on day i, X ij is the target user’s blood glucose value at the jth time point on the i-th day.

3. A blood glucose monitoring method as claimed in claim 2, characterized in that: The method of obtaining the target user's daily blood glucose statistics and corresponding control limits through multiple daily fluctuation parameters specifically includes the following steps: Obtain corresponding independent statistics based on the target user's daily blood sugar mean and variance; Obtain the target user's daily blood sugar statistics based on two consecutive days of independent statistics; The mean and variance of the target user's daily blood glucose statistics are fitted to obtain the target user's daily control limits.

4. A blood glucose monitoring method as claimed in claim 3, characterized in that: The corresponding independent statistics are obtained according to the mean and variance of the target user's daily blood sugar level, as shown below: Where U i and V i are the independent mean statistics and independent variance statistics of the target user’s blood glucose value on the i-th day, u0 is the mean blood glucose value of the target user when blood glucose is normal, σ0 is the standard deviation of blood glucose value when blood glucose is normal, φ -1 (·) is the symbol of the inverse function of the standard normal distribution function, and H(·) is the symbol of the chi-square distribution function.

5. A blood glucose monitoring method as claimed in claim 4, characterized in that: The target user's daily blood sugar statistics are obtained based on independent statistics for two consecutive days, as shown below: THE i =λW i +(1-λ)A (i-1) ,i=1,2,…,; Where W i is the maximum absolute value of the independent mean statistic of blood glucose and the independent variance statistic of blood glucose, A i is the target user’s blood glucose statistic on the i-th day, and λ is the smoothing coefficient.

6. A blood glucose monitoring method as claimed in claim 5, characterized in that: The mean and variance of the target user's daily blood sugar statistics are fitted to obtain the target user's daily control limits, as shown below: in, Where UCLFM is the control limit used to observe whether the target user's daily blood sugar is out of control, E(A i ) is the mean of the target user’s blood glucose statistics, Var(A i ) is the variance of the target user’s blood glucose statistic, κ is the control chart coefficient, f,a is the coefficient of introducing the rapid initial response technology, and t is the number of days for blood glucose measurement.

7. A blood glucose monitoring device, characterized in that: include: A collection module, used to continuously collect multiple blood sugar values ​​of the target user before meals every day; A calculation module, used to obtain multiple fluctuation parameters of each day based on multiple blood glucose values ​​of each day, wherein the fluctuation parameters are used to characterize the blood glucose fluctuation of the target user; and to obtain the target user's daily blood glucose statistics and corresponding control limits through the multiple fluctuation parameters of each day; The monitoring module is used to obtain a continuous blood glucose control chart of the target user based on the target user's daily blood glucose statistics and the corresponding control limits, and monitor the target user's blood glucose based on the continuous blood glucose control chart.

8. A computer device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the blood glucose monitoring method described in any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by the processor, the blood glucose monitoring method according to any one of claims 1 to 6 is implemented.

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