Automatic drug delivery system for first aid of hypoglycemic patient

By integrating blood sugar and acceleration monitoring data in the emergency system of patients with hypoglycemia, evaluating the patient's status and determining the first aid intensity value, the problems of insufficient response speed and poor targeting of the existing system are solved, and more efficient first aid results are achieved.

CN120148740AActive Publication Date: 2025-06-13YOUAN TECHNOLOGY (NANTONG) CO LTD

Patent Information

Application Number
CN202510630234.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-16
Publication Date
2025-06-13
Estimated Expiration
2045-05-16

AI Technical Summary

Technical Problem

The existing emergency system for patients with hypoglycemia depends on the frequency and accuracy of blood sugar monitoring, the reaction speed may be insufficient, and the same dosing measures cannot adapt to changes in exercise status caused by changes in blood sugar levels, resulting in low first aid results.

Method used

An automatic dosing system is designed to obtain the blood sugar level curve and acceleration monitoring curve of patients with hypoglycemia, evaluate the patient's status, determine the first aid intensity value, and perform corresponding first aid operations.

Benefits of technology

By combining blood sugar and acceleration data, the response speed and targetedness of the first aid system are improved, and the first aid effect of patients with hypoglycemia is improved.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of medical care informatics, in particular to an automatic drug delivery system for first aid of hypoglycemia patients, comprising: a data acquisition module for acquiring a blood glucose level curve and an acceleration monitoring curve; the evaluation value determination module is used for determining a second evaluation value in an unconscious faint state according to the blood glucose level curve and the acceleration monitoring curve; the intensity value determining module is used for determining the first-aid intensity value of the hypoglycemia patient according to the second evaluation value and the target curve segment of the acceleration monitoring curve; the first-aid operation module is used for providing first-aid operation of the corresponding level for the hypoglycemia patient through the first-aid intensity value. According to the invention, the first-aid intensity value is determined, so that the drug delivery system for first aid makes the corresponding response operation, and the first-aid effect of the hypoglycemia patient is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of healthcare informatics, and particularly relates to an automatic drug administration system for first aid of hypoglycemic patients. Background Art

[0002] Hypoglycemia is an acute pathological condition commonly seen in patients with diabetes and other related diseases. It is a series of clinical symptoms caused by too low blood glucose levels, manifested as dizziness, palpitation, sweating, tremors, and confusion. In severe cases, it can lead to coma or even death. Therefore, for hypoglycemic patients, especially diabetic patients, determining the severity level of blood glucose and taking timely and effective first aid drug administration measures based on the severity level is crucial.

[0003] Existing first aid devices rely on the frequency and accuracy of blood glucose monitoring. In the case of sudden first aid situations, the response speed of the blood glucose sensors of the first aid devices may be insufficient, resulting in delays in first aid. Moreover, the changes in the motion states caused by the blood glucose levels of hypoglycemic patients vary. Using the same drug administration measures reduces the pertinence of the automatic drug administration system for first aid, leading to poor first aid effects for hypoglycemic patients. Summary of the Invention

[0004] In order to solve the above technical problem of the poor first aid effect of existing hypoglycemic patients, the purpose of the present invention is to provide an automatic drug administration system for first aid of hypoglycemic patients, and the specific technical solutions adopted are as follows: An embodiment of the present invention provides an automatic drug administration system for first aid of hypoglycemic patients, including: A data acquisition module for acquiring the blood glucose level curve and the acceleration monitoring curve of a hypoglycemic patient in the current period; An evaluation value determination module for analyzing the fluctuation of blood glucose values and the influence of eating on the change of blood glucose values based on the blood glucose level curve, and determining a first evaluation value for the hypoglycemic patient in a normal state; determining a second evaluation value for the hypoglycemic patient in an unconscious fainting state according to the first evaluation value, the continuously decreasing state of the blood glucose value of the blood glucose level curve, and the acceleration fluctuation of the acceleration monitoring curve; An intensity value determination module for determining the first aid intensity value of the hypoglycemic patient according to the second evaluation value and the acceleration fluctuation of the target curve segment of the acceleration monitoring curve; A first aid operation module for providing corresponding levels of first aid operations for the hypoglycemic patient through the first aid intensity value.

[0005] Further, the determination of the first evaluation value for the hypoglycemic patient in a normal state includes: Determining the blood glucose fluctuation value according to the difference between adjacent blood glucose values on the blood glucose level curve; Set a normal blood glucose standard, and screen out marked blood glucose values greater than the normal blood glucose standard from all the blood glucose values corresponding to the blood glucose level curve; Determine an influence index of food intake on blood glucose value changes according to the average value of the ratios of the marked blood glucose values at the previous moment and the next moment; Fuse the blood glucose fluctuation value and the influence index to determine a first evaluation value for the hypoglycemic patient to be in a normal state.

[0006] Further, the determining a second evaluation value for the hypoglycemic patient to be in an unconscious fainting state according to the first evaluation value, the continuous decrease state of the blood glucose values of the blood glucose level curve, and the acceleration fluctuation condition of the acceleration monitoring curve includes: Determine the slope corresponding to every two adjacent data points on the blood glucose level curve, and determine a blood glucose value continuous decrease index through the slope; Determine the moment corresponding to the lowest blood glucose value on the blood glucose level curve as a first target moment; on the acceleration monitoring curve, determine a state instantaneous index of the hypoglycemic patient according to the fluctuation difference and data difference between the accelerations before and after the first target moment; Determine the degree of rapid increase in acceleration according to each acceleration amplitude on the acceleration monitoring curve; Fuse the first evaluation value, the blood glucose value continuous decrease index, the state instantaneous index, and the degree of rapid increase in acceleration to determine a second evaluation value for the hypoglycemic patient to be in an unconscious fainting state.

[0007] Further, the determining the state instantaneous index of the hypoglycemic patient includes: Calculate a first variance and a first average value of all the accelerations before the first target moment on the acceleration monitoring curve, and calculate a second variance and a second average value of all the accelerations after the first target moment on the acceleration monitoring curve; Determine a second ratio between the second variance and the first variance, and determine a first ratio between the second average value and the first average value; use the product of the second ratio and the first ratio as the state instantaneous index of the hypoglycemic patient.

[0008] Further, the determining the degree of rapid increase in acceleration according to each acceleration amplitude on the acceleration monitoring curve includes: Determine the moment corresponding to the maximum acceleration amplitude on the acceleration monitoring curve as a second target moment, and obtain an acceleration monitoring curve segment between the first target moment and the second target moment; Determine the degree of rapid increase in acceleration based on the difference between the maximum acceleration amplitude and each acceleration amplitude on the acceleration monitoring curve segment.

[0009] Further, the second evaluation value for determining that the hypoglycemic patient is in an unconscious fainting state includes: Perform a negative correlation process on the first evaluation value to obtain the negative correlation value of the first evaluation value; Calculate the product of the negative correlation value and the blood glucose value continuous decline index, and perform a normalization process on the product to obtain a normalized value as the risk weight of the hypoglycemic patient; Use the risk weight to perform a weighted process on the state instantaneous index to determine the hypoglycemia risk value of the hypoglycemic patient; Determine the second evaluation value for the hypoglycemic patient to be in an unconscious fainting state according to the product of the hypoglycemia risk value and the degree of rapid increase in acceleration.

[0010] Further, the determining the first aid intensity value of the hypoglycemic patient according to the second evaluation value and the acceleration fluctuation condition of the target curve segment of the acceleration monitoring curve includes: Determine the target curve segment on the acceleration monitoring curve after the second target moment, and determine the acceleration stillness degree according to the similarity of accelerations at adjacent moments on the target curve segment; Determine the first aid intensity value of the hypoglycemic patient according to the second evaluation value and the acceleration stillness degree.

[0011] Further, the determining the acceleration stillness degree includes: Calculate the average value of the absolute values of the differences between the accelerations at the adjacent moments on the target curve segment, perform a negative correlation process on the average value to obtain the negative correlation value of the average value, and use the negative correlation value of the average value as the acceleration stillness degree.

[0012] Further, the determining the first aid intensity value of the hypoglycemic patient according to the second evaluation value and the acceleration stillness degree includes: Calculate the product of the second evaluation value and the acceleration stillness degree, perform a normalization process on the product of the second evaluation value and the acceleration stillness degree to obtain a normalized value, and use the normalized value as the first aid intensity value of the hypoglycemic patient.

[0013] Further, the first aid operation module includes a drug administration unit and a warning unit; The drug administration unit is used to perform a drug administration operation for the hypoglycemic patient through the first aid intensity value; The warning unit is used to perform a warning operation for the hypoglycemic patient through the first aid intensity value.

[0014] Another embodiment of the present invention provides a first-aid device for hypoglycemic patients, including a processor and a memory. The processor is used to process instructions stored in the memory to implement an automatic drug delivery system for first aid of hypoglycemic patients.

[0015] The present invention has the following beneficial effects: The existing automatic drug delivery systems for first aid rely on the frequency and accuracy of blood glucose monitoring. In the case of sudden first aid, the reaction speed of existing blood glucose sensors may be insufficient, and the same first aid operation cannot adapt to the varying motion states caused by blood glucose levels, resulting in low effectiveness during first aid for hypoglycemic patients.

[0016] The present invention provides an automatic drug delivery system for first aid of hypoglycemic patients. The system first obtains the blood glucose level curve and acceleration monitoring curve at the current time period. When obtaining data, it not only obtains blood glucose data but also obtains acceleration data. Analyzing the acceleration data helps to reflect the patient's body motion state, facilitating subsequent analysis of different motion states of hypoglycemic patients. Secondly, it determines the second evaluation value for the unconscious fainting state of hypoglycemic patients. When determining the second evaluation value, all factors related to blood glucose conditions are considered as much as possible, namely the first evaluation value in the normal state, the state of continuous decline in blood glucose value, and the acceleration fluctuation situation. It can overcome the defect of relying solely on blood glucose monitoring and improve the numerical accuracy and reliability of the second evaluation value in the unconscious fainting state from multiple perspectives. Then, it determines the first-aid intensity value for hypoglycemic patients, considering not only the second evaluation value in the unconscious fainting state but also the acceleration fluctuation situation of the target curve segment, providing a reliable first-aid basis for hypoglycemic patients, enabling the drug delivery system for first aid to make corresponding response operations and improving the first-aid effect for hypoglycemic patients. Brief Description of the Drawings

[0017] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for description in the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0018] Figure 1 It is a structural diagram of an automatic drug delivery system for first aid of hypoglycemic patients according to an embodiment of the present invention; Figure 2 It is a flowchart for implementing step S112 in an embodiment of the present invention; Figure 3 It is an example diagram of a blood glucose level curve with marked blood glucose values in an embodiment of the present invention; Figure 4This is the flowchart for implementing step S122 in the embodiments of the present invention; Figure 5 This is an example diagram of an acceleration monitoring curve segment in the acceleration monitoring curve in the embodiments of the present invention. Detailed implementation manners

[0019] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation manners, structures, features, and effects of the technical solutions proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0021] The application scenario targeted by the present invention can be: The existing automatic drug delivery system for hypoglycemia first aid monitors the blood glucose level of a patient in real time through a blood glucose sensor, and then decides whether to initiate the first aid procedure through the analysis of the patient's blood glucose status; once it is determined that the patient needs first aid, the system will supplement the patient with sugar through an automatic drug delivery device to ensure that the patient receives first aid in the shortest time. If the patient faints during the drug delivery process, the system will automatically trigger an alarm.

[0022] However, the response time of the existing first aid devices depends on the frequency and accuracy of blood glucose monitoring. In the case of a sudden first aid situation, the reaction speed of the existing blood glucose sensors may be insufficient, resulting in a delay in first aid. Moreover, the changes in the motion state caused by the blood glucose levels of hypoglycemic patients vary, and the use of the same drug delivery method reduces the pertinence of the automatic drug delivery system, resulting in low first aid effectiveness.

[0023] To overcome the above-mentioned existing defects, an embodiment of the present invention provides an automatic drug delivery system for hypoglycemia first aid. The structural schematic diagram of the system is as Figure 1 shown, including: a data acquisition module 101, an evaluation value determination module 102, an intensity value determination module 103, and a first aid operation module 104. Specifically: The data acquisition module 101 is used to acquire the blood glucose level curve and the acceleration monitoring curve of a hypoglycemic patient in the current period.

[0024] Here, the blood glucose level curve can reflect the changes in blood glucose values of hypoglycemic patients over a period of time, and the acceleration monitoring curve can reflect the body activity acceleration signals of hypoglycemic patients over a period of time, which is used to reflect the changes in movement characteristics or physiological tremors during hypoglycemic attacks. Both the blood glucose level curve and the acceleration monitoring curve are used in subsequent data analysis steps and are the basic data for determining the first aid intensity value later.

[0025] For the blood glucose level curve, the blood glucose values at each moment in the current period are collected by a blood glucose monitor on the hypoglycemic patient, and the blood glucose values at all moments are curve-fitted to obtain the blood glucose level curve. The abscissa of the blood glucose level curve is the monitoring time period (moment), and the ordinate is the blood glucose level (blood glucose value); for the acceleration monitoring curve, the accelerations at each moment in the current period are collected by an acceleration sensor on the hypoglycemic patient, and the accelerations at all moments are curve-fitted to obtain the acceleration monitoring curve. The abscissa of the acceleration monitoring curve is the monitoring time period (moment), and the ordinate is the acceleration.

[0026] Among them, the current period can be set to 10 minutes. Of course, the implementer can set the size of the current period according to the specific actual situation; the blood glucose monitor can select a certified CGM (Continuous Glucose Monitoring) device, such as Dexcom, Medtronic, Abbott FreeStyle Libre, etc., and the acceleration sensor can select a smart bracelet or a patch-type sensor. The accuracy, ease of use, and connection methods of different devices may be different, so selection needs to be made according to personal needs; the curve fitting method can select the least squares method. The implementation process of the least squares method is prior art and is not within the protection scope of the present invention, so it will not be elaborated in detail here.

[0027] So far, in this embodiment, the blood glucose level curve and the acceleration monitoring curve of the hypoglycemic patient in the current period are obtained.

[0028] The evaluation value determination module 102 is used to analyze the blood glucose value fluctuation situation and the influence of eating on the blood glucose value change based on the blood glucose level curve, and determine the first evaluation value when the hypoglycemic patient is in a normal state; according to the first evaluation value, the continuously decreasing state of the blood glucose value of the blood glucose level curve, and the acceleration fluctuation situation of the acceleration monitoring curve, determine the second evaluation value when the hypoglycemic patient is in an unconscious fainting state.

[0029] The above evaluation value determination module 102 can be implemented through steps S112 to S122 (not shown in the figure): S112, analyze the blood glucose value fluctuation situation and the influence of eating on the blood glucose value change based on the blood glucose level curve, and determine the first evaluation value when the hypoglycemic patient is in a normal state.

[0030] Here, the first evaluation value represents the possibility that a hypoglycemic patient is in a normal state, which is affected by factors such as the fluctuation of blood glucose values and the impact of eating on blood glucose value changes: when the degree of blood glucose value fluctuation is greater, it indicates that the blood glucose level of the hypoglycemic patient in the current period is unstable and may exceed the normal blood glucose level range, and the possibility that the hypoglycemic patient is in a normal state is smaller; when the impact of eating on blood glucose value changes is greater, it indicates that the blood glucose being higher than the normal blood glucose level is affected by the result of eating, and although the blood glucose is higher than the normal blood glucose level, the possibility that the hypoglycemic patient is in a normal state is still greater.

[0031] The above step S112 can be achieved by Figure 2 the steps S1121 to S1124 shown below: S1121, determine the blood glucose fluctuation value according to the difference between adjacent blood glucose values on the blood glucose level curve.

[0032] As an example, the calculation formula for the blood glucose fluctuation value of a hypoglycemic patient in the current period can be: ; in the formula, represents the blood glucose fluctuation value of the hypoglycemic patient, e represents the current period, n represents the number of moments in the current period, represents the blood glucose value at the i-th moment in the current period, represents the blood glucose value at the (i + 1)-th moment in the current period, represents the absolute value function.

[0033] Another example, when determining the blood glucose fluctuation value, the variance or standard deviation of the blood glucose values at all moments on the blood glucose level curve can also be calculated to determine the blood glucose fluctuation value.

[0034] S1122, set the normal blood glucose standard, and screen out the marked blood glucose values greater than the normal blood glucose standard from all the blood glucose values corresponding to the blood glucose level curve.

[0035] Specifically, obtain the blood glucose values at all moments on the blood glucose level curve, compare the blood glucose values with the set normal blood glucose standard, and use the blood glucose values greater than the normal blood glucose standard as the marked blood glucose values to obtain several marked blood glucose values. An example graph of the blood glucose level curve with marked blood glucose values is as Figure 3 shown.

[0036] It should be noted that if there are no marked blood glucose values greater than the normal blood glucose standard on the blood glucose level curve, the impact of eating on blood glucose value changes is not analyzed, and the first evaluation value of the hypoglycemic patient being in a normal state is directly determined by the blood glucose fluctuation value.

[0037] The standards for blood glucose levels generally include: the normal range of fasting blood glucose is generally 3.9 - 6.1 mmol / L (70 - 110 mg / dL); the normal range of postprandial blood glucose (2 hours after a meal) is less than 7.8 mmol / L (140 mg / dL); the normal range of hypoglycemia is usually defined as a blood glucose level below 3.9 mmol / L (70 mg / dL). In this embodiment, the normal blood glucose standard is set to 6 mmol / L, and the implementer can set the size of the normal blood glucose standard according to the specific actual situation without specific limitation.

[0038] S1123. Determine the influence index of food intake on blood glucose value change according to the average value of the ratios of marked blood glucose values at the previous moment and the next moment.

[0039] Here, the influence index of food intake on blood glucose value change is quantified by analyzing the attenuation degree of blood glucose values exceeding the normal blood glucose standard. The larger the ratio of marked blood glucose values at adjacent moments, the more it indicates that the blood glucose values exceeding the normal blood glucose standard show a decaying trend over time, that is, the situation of blood glucose exceeding the normal blood glucose standard may be caused by a meal.

[0040] Specifically, for all marked blood glucose values at adjacent moments, calculate the ratio of the marked blood glucose value at the previous moment and the next moment, and then calculate the average value of all the ratios of marked blood glucose values as the influence index of food intake on blood glucose value change.

[0041] As an example, the calculation formula for the influence index of food intake on blood glucose value change in the current period of a blood glucose patient can be: ; where represents the influence index of food intake on blood glucose value change in the current period of a blood glucose patient, m represents the number of marked blood glucose values, represents the marked blood glucose value at the j-th moment, represents the marked blood glucose value at the (j + 1)-th moment.

[0042] It should be noted that when analyzing the influence index, this embodiment only analyzes continuously adjacent marked blood glucose values and does not analyze isolated marked blood glucose values; generally, even in the case of hypoglycemic patients, the blood glucose value does not reach zero, so the denominator of the ratio in this embodiment does not reach zero.

[0043] S1124. Integrate the blood glucose fluctuation value and the influence index to determine the first evaluation value for a hypoglycemic patient to be in a normal state.

[0044] Here, the blood glucose fluctuation value is negatively correlated with the first evaluation value. The larger the blood glucose fluctuation value, the higher the severity of blood glucose fluctuation in the current period, and the smaller the probability that the hypoglycemic patient is in a normal state. Therefore, the first evaluation value for the hypoglycemic patient to be in a normal state is smaller. The influencing index is positively correlated with the first evaluation value. The larger the influencing index, the more it indicates that the blood glucose data exceeding the normal blood glucose standard shows a decay trend over time, and the greater the probability that the blood glucose data exceeding the normal blood glucose standard is caused by eating. The greater the probability that the hypoglycemic patient is in a normal state. Therefore, the first evaluation value for the hypoglycemic patient to be in a normal state is larger.

[0045] As an example, perform a negative correlation process on the blood glucose fluctuation value. For example, take the reciprocal of the blood glucose fluctuation value, and use the product of the reciprocal of the blood glucose fluctuation value and the influencing index as the first evaluation value for the hypoglycemic patient to be in a normal state.

[0046] Another example is to use the value obtained by adding the reciprocal of the blood glucose fluctuation value and the influencing index as the first evaluation value for the hypoglycemic patient to be in a normal state.

[0047] S122. Determine the second evaluation value indicating that the hypoglycemic patient is in an unconscious fainting state based on the first evaluation value, the continuous decline state of the blood glucose value of the blood glucose level curve, and the acceleration fluctuation of the acceleration monitoring curve.

[0048] It should be noted that during the monitoring of the blood glucose level of a hypoglycemic patient, if the blood glucose level is lower than the normal blood glucose standard, it indicates that the probability of the hypoglycemic patient being in an abnormal state is greater, and the rapid decline of the blood glucose level may also mean that the patient is in a hypoglycemic state. Here, the patient may experience symptoms such as sweating, palpitation, tremor, dizziness, etc. Determining the second evaluation value is to provide more standard data support for the subsequent drug delivery system. When the blood glucose level is urgent and the hypoglycemic patient shows symptoms of syncope, which is an unconscious situation at this time, the patient may be in a stationary state for a long time, which is considered a state requiring first aid.

[0049] Here, the second evaluation value represents the probability that the hypoglycemic patient is in an unconscious fainting state, which is affected by the probability that the patient is in a normal state, the trend of the blood glucose level being in a continuous decline, and the change of the physical state. For the first evaluation value, when the probability that the hypoglycemic patient is in a normal state is greater, the probability of being in an unconscious fainting state is smaller; in the current period, the greater the degree of the continuous decline trend of the blood glucose level of the hypoglycemic patient, the greater the promoting effect on the risk of syncope for the patient, and the greater the probability of being in an unconscious fainting state; when the acceleration data shows a relatively significant change behavior, it indicates that the physical state of the patient has an instantaneous change, which can reflect whether the hypoglycemic patient is in a fainting physical state.

[0050] The above step S122 can be achieved byFigure 4 The steps S1221 to S1224 shown are implemented as follows: S1221, determine the slope corresponding to every two adjacent data points on the blood glucose level curve, and determine the blood glucose value continuous decline index through the slope.

[0051] In this embodiment, the larger the blood glucose value continuous decline index is, the more it can indicate that the blood glucose level of the hypoglycemic patient is in a continuous decline trend, and then it has a certain promoting effect on the syncope risk of the patient.

[0052] Specifically, first determine the slope corresponding to every two adjacent data points on the blood glucose level curve, that is, one slope corresponds to two adjacent data points, and then analyze the blood glucose value change trend through the slope to determine the blood glucose value continuous decline index.

[0053] As an example, the calculation formula for the blood glucose value continuous decline index of a blood glucose patient in the current period can be: ; where, represents the blood glucose value continuous decline index of a blood glucose patient in the current period, N represents the number of slopes, represents the c-th slope on the blood glucose level curve, represents the (c + 1)-th slope on the blood glucose level curve, and 0.1 is used to avoid the denominator of the fraction being zero. Of course, the implementer can also use other non-zero constants other than 0.1.

[0054] Another example, screen out all negative slopes from all slopes, and use the average value of all negative slopes as the blood glucose value continuous decline index of a blood glucose patient in the current period. Among them, a negative slope refers to a slope less than 0.

[0055] S1222, determine the moment corresponding to the lowest blood glucose value on the blood glucose level curve as the first target moment; on the acceleration monitoring curve, determine the state instantaneous index of the hypoglycemic patient according to the fluctuation difference and data difference between the accelerations before and after the first target moment.

[0056] In this embodiment, using the first target moment to divide the blood glucose level curve is to judge the emergency degree of the patient in the current hypoglycemic situation. The greater the difference in the patient's state before and after the moment corresponding to the lowest blood glucose value, the greater the state instantaneous index of the patient, and the greater the possibility that the patient is in an unconscious fainting state.

[0057] Specifically, calculate the first variance and the first average value of all accelerations on the acceleration monitoring curve before the first target moment, and calculate the second variance and the second average value of all accelerations on the acceleration monitoring curve after the first target moment; determine the second ratio between the second variance and the first variance, and determine the first ratio between the second average value and the first average value; use the product of the second ratio and the first ratio as the instantaneous state index of the hypoglycemic patient.

[0058] As an example, the calculation formula for the instantaneous state index of a hypoglycemic patient can be: ; where represents the instantaneous state index of the hypoglycemic patient, represents the fluctuation variance of the acceleration data after the first target moment, that is, the second variance, represents the fluctuation variance of the acceleration data before the first target moment, that is, the first variance, represents the average value of the acceleration data after the first target moment, that is, the second average value, represents the average value of the acceleration data before the first target moment, that is, the first average value, represents the second ratio, represents the first ratio.

[0059] In the calculation formula of the instantaneous state index, represents the difference in the degree of fluctuation between the acceleration data corresponding to the two time periods. The greater the acceleration fluctuation in the second time period than that in the first moment, that is the greater, the more it can indicate that the patient's physical state has been significantly perceived; represents the data difference between accelerations, the greater, the more significant the change in the acceleration monitoring data when the blood glucose level of the hypoglycemic patient shows a continuous decline, and the more the patient's movement status changes, and the greater the instantaneous state index.

[0060] It should be noted that if the first target moment is the last moment in the monitoring time period, the monitoring duration of the acceleration sensor needs to be extended a little longer, such as it can be set to 3 minutes.

[0061] S1223. Determine the degree of sudden increase in acceleration according to each acceleration amplitude on the acceleration monitoring curve.

[0062] In this embodiment, the instantaneous state index is introduced in the calculation process of the second evaluation value, that is, the instantaneous change of the patient's physical state, so as to reflect whether the patient has a fainting physical condition. However, if a hypoglycemic patient squats consciously, it will also cause a significant change in the acceleration data. In order to distinguish the influence of the non-unconscious fainting state of the patient on the instantaneous change of acceleration and ensure that the change of the patient's physical state can better reflect the patient's hypoglycemia level, it is necessary to quantify the degree of rapid increase in acceleration.

[0063] First, determine the moment corresponding to the maximum acceleration amplitude on the acceleration monitoring curve as the second target moment, and obtain the acceleration monitoring curve segment located between the first target moment and the second target moment; secondly, determine the degree of rapid increase in acceleration according to the difference between the maximum acceleration amplitude and each acceleration amplitude on the acceleration monitoring curve segment.

[0064] The first target moment can be denoted as and the second target moment can be denoted as An example diagram of the acceleration monitoring curve segment in the acceleration monitoring curve is as shown in Figure 5 The acceleration monitoring curve segment can represent the curve segment with large fluctuations in the patient's state after hypoglycemia. The greater the degree of rapid increase in acceleration of this curve segment, the more it indicates that the patient may be in an instantaneous change of motion state. It can be considered that due to the patient's unconscious fainting, a significant change in acceleration has occurred.

[0065] As an example, the calculation formula for the degree of rapid increase in acceleration can be: ; in the formula, represents the degree of rapid increase in acceleration, M represents the number of acceleration amplitudes corresponding to the acceleration monitoring curve segment, represents the maximum acceleration amplitude on the acceleration monitoring curve, represents the xth acceleration amplitude on the acceleration monitoring curve segment.

[0066] In the calculation formula for the degree of rapid increase in acceleration, if each acceleration amplitude on the acceleration monitoring curve segment has a large difference from the maximum acceleration amplitude, it indicates that a significant change in the patient's acceleration has occurred, that is, the acceleration shows a rapid increase, and the patient's motion state has suddenly changed instantaneously, that is, it is considered that the patient has an unconscious fainting, resulting in a significant change in acceleration.

[0067] S1224. Integrate the first evaluation value, the blood glucose value continuous decline index, the state instantaneous index, and the degree of rapid increase in acceleration to determine the second evaluation value of the hypoglycemic patient in the unconscious fainting state.

[0068] In this embodiment, for hypoglycemic patients, the changing trend of unstable or rapidly decreasing blood glucose levels indicates that the patients' blood glucose levels are developing towards hypoglycemic levels, and the hypoglycemic state of the patients may often lead to fainting and weakness. Therefore, when determining the second evaluation value, first determine the positive and negative correlation relationships between the first evaluation value, the blood glucose value continuous decrease index, the state instantaneous index, and the acceleration sharp increase degree and the second evaluation value, and then combine all the factors related to the second evaluation value of the unconscious fainting state to determine the second evaluation value.

[0069] The larger the first evaluation value of the patient in the normal condition, since the unconscious fainting state belongs to the abnormal condition, the smaller the second evaluation value of the diabetic patient in the unconscious fainting state. Therefore, the first evaluation value and the second evaluation value show a negative correlation, and the negative correlation processing needs to be performed on the first evaluation value; the larger the blood glucose value continuous decrease index, the higher the hypoglycemic risk of the patient, the greater the possibility of the diabetic patient being in the unconscious fainting state, and the larger the second evaluation value; the larger the state instantaneous index, the higher the significance of the state change of the patient in the two time periods before and after the time corresponding to the minimum blood glucose value as the dividing line, the greater the possibility of the diabetic patient being in the unconscious fainting state, and the larger the second evaluation value; the greater the acceleration sharp increase degree, the more obvious the acceleration sharp increase state, the greater the possibility of being in the conscious syncope state, and the larger the second evaluation value.

[0070] First, perform negative correlation processing on the first evaluation value to obtain the negative correlation value of the first evaluation value; secondly, calculate the product of the negative correlation value and the blood glucose value continuous decrease index, and perform normalization processing on the product to obtain the normalized value as the risk weight of the hypoglycemic patient; then, use the risk weight to perform weighted processing on the state instantaneous index to determine the hypoglycemic risk value of the hypoglycemic patient; determine the second evaluation value of the hypoglycemic patient in the unconscious fainting state according to the product of the hypoglycemic risk value and the acceleration sharp increase degree.

[0071] Regarding the negative correlation processing, the reciprocal of the first evaluation value can be used as the negative correlation value of the first evaluation value. Of course, exp(-) can also be used to achieve it.

[0072] So far, this embodiment has determined the second evaluation value of the hypoglycemic patient in the unconscious fainting state.

[0073] The intensity value determination module 103 is used to determine the first aid intensity value of the hypoglycemic patient according to the second evaluation value and the acceleration fluctuation condition of the target curve segment of the acceleration monitoring curve.

[0074] Here, the first-aid intensity value represents the degree of quantifying the amount of hypoglycemia treatment drugs provided according to the current condition of the hypoglycemic patient, that is, the severity of the hypoglycemic state of the hypoglycemic patient. For the first-aid intensity value, it mainly responds to the emergency of the hypoglycemic patient, realizes the grading of the actual state of the hypoglycemic patient, and then implements corresponding first-aid operations according to the different states of the patient.

[0075] First, determine the target curve segment after the second target moment on the acceleration monitoring curve, and determine the acceleration stillness degree according to the similarity of accelerations at adjacent moments on the target curve segment; secondly, determine the first-aid intensity value of the hypoglycemic patient according to the second evaluation value and the acceleration stillness degree.

[0076] Furthermore, the calculation method of the acceleration stillness degree can be: calculate the average value of the absolute value of the difference between accelerations at adjacent moments on the target curve segment, perform a negative correlation process on the average value to obtain the negative correlation value of the average value, and use the negative correlation value of the average value as the acceleration stillness degree.

[0077] The calculation method of the first-aid intensity value can be: perform a normalization process on the product of the second evaluation value and the acceleration stillness degree to obtain a normalized value, and use the normalized value as the first-aid intensity value of the hypoglycemic patient.

[0078] Regarding the acceleration stillness degree, the target curve segment after the second target moment represents the acceleration performance of the patient after a significant jump in the patient's acceleration. The greater the stillness state degree, that is, the greater the acceleration stillness degree, it indicates that the physical state of the hypoglycemic patient is worse, the hypoglycemia risk state is more urgent, and more first-aid operations are required. Regarding the second evaluation value in the unconscious fainting state, the greater the second evaluation value, it indicates that the risk state of the hypoglycemic patient is more urgent and more first-aid operations are required.

[0079] As an example, the calculation formula of the first-aid intensity value of the hypoglycemic patient can be: ; where z represents the first-aid intensity value of the hypoglycemic patient, th represents the hyperbolic tangent function, which is used to implement the normalization operation, represents the second evaluation value of the hypoglycemic patient in the unconscious fainting state, G represents the number of acceleration data of the target curve segment, represents the (h + 1)-th acceleration on the target curve segment, represents the h-th acceleration on the target curve segment, represents the absolute value function, represents the acceleration stillness degree.

[0080] In the calculation formula of the first-aid intensity value, The smaller it is, the smaller the acceleration difference between adjacent moments on the target curve segment, the higher the acceleration similarity on the target curve segment, and the greater the degree of acceleration stillness. Combining with the second evaluation value in the unconscious fainting state, that is is used to illustrate the degree of first aid requirement for hypoglycemic patients. The larger the product, the more urgent the patient's condition, and the system needs to make a more timely first aid response.

[0081] So far, the first aid intensity value of the hypoglycemic patient has been obtained in this embodiment.

[0082] The first aid operation module 104 is used to provide corresponding-level first aid operations for hypoglycemic patients according to the first aid intensity value.

[0083] Here, the first aid operation module includes a drug administration unit and a warning unit. The first aid operations include drug administration operations and warning operations. The drug administration unit performs drug administration operations through the first aid intensity value, and the warning unit also performs warning operations through the first aid intensity value. After obtaining the first aid intensity value, corresponding response operations are made for different first aid requirements to make the first aid device, that is, the first aid operation.

[0084] A first threshold and a second threshold are set, and the first threshold is less than the second threshold. In this embodiment, the first threshold can be set to 0.5, and the second threshold can be set to 0.8. The first and second thresholds are used to quantify the emergency level corresponding to the first aid intensity value, and the magnitudes of the first threshold and the second threshold can be set by the implementer according to specific actual requirements, because the first aid levels of different patients are affected by their physical conditions, and the level division situations may be different.

[0085] When the first aid intensity value is greater than the second threshold of 0.8, it can be determined that the patient's blood sugar level is low and is very likely to be in an unconscious fainting condition. At this time, during the automatic drug administration process of the drug administration system, the system will promptly trigger an emergency handling program, such as automatically dialing the emergency phone number through the mobile phone to ensure timely rescue.

[0086] When the first aid intensity value is less than or equal to the second threshold of 0.8 and greater than the first threshold of 0.5, it can be determined that the patient's blood sugar level is continuously decreasing and the physical condition is poor, and may be in a state of weakness and approaching fainting. At this time, the automatic drug administration system will perform an automatic drug administration operation on the patient to ensure that the patient's blood sugar level can be increased in time to avoid the direct fainting phenomenon caused by continuous decrease.

[0087] When the first aid intensity value is less than or equal to the second threshold of 0.5, it can be determined that the patient's blood sugar level has unstable fluctuations and the blood sugar level shows a downward trend. Then the automatic drug administration system at this time will prompt the patient to supplement sugar, and the patient can be prompted to open the switch on the drug administration device by himself / herself to stabilize the blood sugar level in the patient's body by self-supplementing glucose.

[0088] For a drug delivery device, such as a contact mask, the contact mask needs to fit tightly against the facial skin to prevent drug leakage. At the same time, a suitable electrode is attached to the position where the drug delivery device contacts the skin to ensure good contact between the electrode and the skin. The drugs for hypoglycemic patients are stored in a medicine storage tank, and a drug delivery structure connected by a catheter timely supplies sugar to patients in a hypoglycemic state. When the symptoms are mild, the patient can be prompted to administer the drug manually by touching a switch. The data integration center in the automatic control mechanism collects the patient's real-time blood glucose level and judges the patient's state through data processing. When the situation is relatively serious, the automatic control mechanism is used to automatically administer the drug to hypoglycemic patients, and an alarm can be given in an emergency.

[0089] Thus, this embodiment has completed the automatic drug administration operation for first aid of hypoglycemic patients.

[0090] Another embodiment of the present invention also provides a first aid device for hypoglycemic patients, including a processor and a memory. The processor is used to process the instructions stored in the memory to implement an automatic drug delivery system for first aid of hypoglycemic patients.

[0091] In summary, the present invention first obtains a blood glucose level curve and an acceleration monitoring curve; then, through the blood glucose level curve and the acceleration monitoring curve, determines an evaluation value for the unconscious fainting state of hypoglycemic patients; next, according to the second evaluation value and the acceleration fluctuation of the target curve segment of the acceleration monitoring curve, determines the first aid intensity value for hypoglycemic patients; finally, provides corresponding levels of first aid operations for hypoglycemic patients through the first aid intensity value. The present invention combines the analysis of acceleration data characteristics to analyze the motion state of hypoglycemic patients, enabling the drug delivery system for first aid to make corresponding response operations, so that the system has a faster response time, automated operation, accurate drug supply, and improves the first aid ability and survival rate of hypoglycemic patients.

[0092] The above-described embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the various embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. An automatic drug delivery system for emergency treatment of hypoglycemic patients, characterized in that: include: A data acquisition module is used to obtain the blood sugar level curve and acceleration monitoring curve of the hypoglycemic patient in the current period; An evaluation value determination module is used to analyze the blood sugar level fluctuation and the influence of eating on the blood sugar level change based on the blood sugar level curve to determine a first evaluation value that the hypoglycemic patient is in a normal state; and to determine a second evaluation value that the hypoglycemic patient is in an unconscious fainting state based on the first evaluation value, the blood sugar level curve's continuous decline in blood sugar value, and the acceleration fluctuation of the acceleration monitoring curve; an intensity value determination module, used to determine the emergency rescue intensity value of the hypoglycemic patient according to the second evaluation value and the acceleration fluctuation of the target curve segment of the acceleration monitoring curve; The first aid operation module is used to provide the hypoglycemia patient with a first aid operation of a corresponding level according to the first aid intensity value.

2. The automatic drug delivery system for emergency treatment of hypoglycemia patients according to claim 1, characterized in that: The first evaluation value of determining that the hypoglycemic patient is in a normal state includes: Determining a blood sugar fluctuation value according to differences between adjacent blood sugar values ​​on the blood sugar level curve; Setting a normal blood sugar standard, and screening out a marked blood sugar value greater than the normal blood sugar standard from all blood sugar values ​​corresponding to the blood sugar level curve; Determining the effect of eating on the change of blood sugar level according to the average value of the ratio of the marked blood sugar level at the previous moment and the next moment; The blood sugar fluctuation value and the influencing index are integrated to determine a first evaluation value of the hypoglycemic patient being in a normal state.

3. The automatic drug delivery system for emergency treatment of hypoglycemia patients according to claim 1, characterized in that: The second evaluation value for determining that the hypoglycemic patient is in an unconscious fainting state comprises: Determine the slope corresponding to every two adjacent data points on the blood sugar level curve, and determine the blood sugar level continuous decline index through the slope; Determine the moment corresponding to the lowest blood sugar value on the blood sugar level curve as the first target moment; on the acceleration monitoring curve, determine the instantaneous indicator of the state of the hypoglycemic patient according to the fluctuation difference and data difference between the acceleration before the first target moment and after the first target moment; Determining the degree of acceleration surge according to each acceleration amplitude on the acceleration monitoring curve; The first evaluation value, the blood sugar level continuous decrease index, the state instantaneous index and the degree of acceleration surge are integrated to determine a second evaluation value that the hypoglycemic patient is in an unconscious fainting state.

4. The automatic drug delivery system for emergency treatment of hypoglycemia patients according to claim 3, characterized in that: Determining the instantaneous indicator of the state of the hypoglycemic patient includes: Calculating a first variance and a first average value of all accelerations on the acceleration monitoring curve before the first target moment, and calculating a second variance and a second average value of all accelerations on the acceleration monitoring curve after the first target moment; Determine a second ratio between the second variance and the first variance, and determine a first ratio between the second average value and the first average value; and use the product of the second ratio and the first ratio as an instantaneous indicator of the state of the hypoglycemic patient.

5. The automatic drug delivery system for emergency treatment of hypoglycemia patients according to claim 3, characterized in that: Determining the degree of acceleration surge according to each acceleration amplitude on the acceleration monitoring curve includes: Determine the time corresponding to the maximum acceleration amplitude on the acceleration monitoring curve as the second target time, and obtain the acceleration monitoring curve segment between the first target time and the second target time; The degree of acceleration surge is determined according to the difference between the maximum acceleration amplitude and each acceleration amplitude on the acceleration monitoring curve segment.

6. The automatic drug delivery system for emergency treatment of hypoglycemia patients according to claim 3, characterized in that: The second evaluation value for determining that the hypoglycemic patient is in an unconscious fainting state comprises: Performing negative correlation processing on the first evaluation value to obtain a negative correlation value of the first evaluation value; Calculating the product of the negative correlation value and the blood sugar level continuous decline index, normalizing the product, and obtaining a normalized value as the risk weight of the hypoglycemic patient; Using the risk weight to perform weighted processing on the instantaneous state indicator, to determine the hypoglycemia risk value of the hypoglycemia patient; A second assessment value of the hypoglycemia patient being in an unconscious fainting state is determined according to the product of the hypoglycemia risk value and the degree of acceleration surge.

7. The automatic drug delivery system for emergency treatment of hypoglycemia patients according to claim 5, characterized in that: The step of determining the emergency rescue intensity value of the hypoglycemic patient according to the second evaluation value and the acceleration fluctuation of the target curve segment of the acceleration monitoring curve comprises: Determine a target curve segment on the acceleration monitoring curve that is located after the second target moment, and determine the acceleration static degree according to the similarity of accelerations at adjacent moments on the target curve segment; The emergency rescue intensity value for the hypoglycemic patient is determined according to the second evaluation value and the acceleration stillness degree.

8. The automatic drug delivery system for emergency treatment of hypoglycemia patients according to claim 7, characterized in that: Determining the acceleration static degree includes: The average absolute value of the difference between the accelerations at adjacent moments on the target curve segment is calculated, the average value is negatively correlated to obtain a negative correlation value of the average value, and the negative correlation value of the average value is used as the acceleration static degree.

9. The automatic drug delivery system for emergency treatment of hypoglycemia patients according to claim 7, characterized in that: Determining the emergency rescue intensity value of the hypoglycemic patient according to the second evaluation value and the acceleration static degree includes: The product of the second evaluation value and the acceleration stillness degree is calculated, and the product of the second evaluation value and the acceleration stillness degree is normalized to obtain a normalized value, and the normalized value is used as the emergency rescue intensity value for the hypoglycemic patient.

10. The automatic drug delivery system for emergency treatment of hypoglycemia patients according to claim 1, characterized in that: The first aid operation module includes a medication unit and a warning unit; The drug administration unit is used to perform a drug administration operation for the hypoglycemic patient according to the emergency intensity value; The warning unit is used to perform a warning operation for the hypoglycemia patient according to the emergency intensity value.

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