CN115804593A - Glucose monitoring system for glucose concentration levels before and after meals - Google Patents

Abstract

The present invention provides a glucose monitoring system aimed at the glucose concentration before and after a meal, which is a glucose monitoring system for detecting the glucose concentration of the object to be measured and giving guidance information, and is characterized in that it includes a sensing module, a communication module and a processing module, the sensing module is configured to detect the glucose data of the subject to be tested, the glucose data includes the glucose concentration of the subject to be tested with time between before and after the meal; the communication module is configured to receive the glucose data and send it to the processing module; processing The module is configured to determine the fluctuation type of the glucose concentration based on the glucose data, the fluctuation type reflects the change trend of the glucose concentration between pre-meal and post-meal, and generate guidance information or suggestions related to eating behavior according to the fluctuation type.

Description

Glucose monitoring system for glucose concentration levels before and after meals

technical field

The present invention specifically relates to a glucose monitoring system for glucose concentration before and after a meal, and is a glucose monitoring system for detecting the glucose concentration of an object to be tested and giving guidance information.

Background technique

Diabetes and its chronic complications have become one of the diseases that seriously affect human health today. In order to delay and reduce the chronic complications of diabetes, glucose needs to be strictly controlled. Therefore, a continuous glucose monitoring system (CGMS) for dynamically reflecting glucose fluctuations is widely used. At present, a variety of dynamic glucose monitoring systems have been approved by the US FDA and/or CE to be used in Europe and the United States. Most of them are minimally invasive, using subcutaneous probes to monitor interstitial fluid glucose, and a few monitor on the skin surface. The interstitial fluid glucose concentration measured by CGMS has a good correlation with venous glucose concentration and fingertip glucose concentration, and can be used as an auxiliary glucose monitoring method.

At present, the dynamic glucose monitoring system generally has a high and low glucose early warning mechanism, so that it can send an early warning signal when the glucose is too low or too high. At the same time, clinicians can design more individualized treatment plans through the high and low glucose early warning mechanism. .

However, the existing technology does not provide users with dietary reason analysis and guidance information or suggestions based on the thinking of the CGMS dynamic curve, but only gives some simple suggestions based on the glucose level in the curve (such as whether to seek a doctor or other educational guidance suggestions) , and doctors or diabetes educators need to spend 30-60 minutes to interpret the dynamic curve of dietary time to output risk level assessment and auxiliary decision-making suggestions.

Contents of the invention

The present invention is accomplished in view of the above-mentioned state of the art, and its purpose is to provide a glucose monitoring system for glucose concentration before and after a meal, which is a glucose monitoring system for detecting the glucose concentration of an object to be measured and giving guidance information, which can Analyze the fluctuation characteristics according to the glucose dynamic curve and help the subjects and doctors to read the report quickly and accurately and provide suggestions or guidance information related to dietary behavior.

For this reason, the present invention discloses a glucose monitoring system for glucose concentration before and after a meal, which is a glucose monitoring system for detecting the glucose concentration of an object to be measured and giving guidance information, and is characterized in that it includes a sensing module, a communication module and A processing module, the sensing module is configured to detect the glucose data of the subject to be tested, the glucose data includes the glucose concentration of the subject to be tested that changes with time between before and after meals; the communication module is configured receiving said glucose data and sending to said processing module; said processing module being configured to determine a fluctuation pattern of glucose concentration based on said glucose data, said fluctuation pattern reflecting said glucose concentration being between pre-meal and post-meal change trends, and generate guidance information or suggestions related to eating behaviors according to the fluctuation types.

In this case, the sensing module can continuously monitor the time-varying glucose concentration between before and after meals of the subject to be measured in real time and generate data to send to the communication module, which is more convenient and faster than manual collection of glucose concentration; in addition , the communication module can send the real-time glucose data of the object to be measured to the processing module to generate real-time and continuous dynamic glucose data, the sampling period is short, and the data accuracy rate is improved; in addition, the processing module can receive and determine according to the received glucose data According to the fluctuation type of the glucose concentration of the subject to be tested, according to the fluctuation type, guidance information or suggestions related to eating behavior are generated and provided to the subject or the doctor in time, and the time spent on traditional manual collection of glucose concentration and seeking doctor's advice is reduced.

According to the glucose monitoring system provided in the present invention, optionally, the glucose monitoring system further includes a recording module, and the recording module is used to record the meal time when the subject to be measured starts to eat. In this case, the glucose monitoring system can determine the meal time of the subject to provide more accurate guidance information or suggestions for the subject or the doctor according to the dynamic glucose curve.

According to the glucose monitoring system provided by the present invention, optionally, the glucose data includes the glucose concentration of multiple detection points and the detection time matching the multiple detection points, if the meal time entered by the subject to be measured Located at the midpoint of the detection time corresponding to two adjacent detection points, any one of the two adjacent detection points is used as a meal detection point. Between two detection points and not at the midpoint of the corresponding detection time, the detection point closest to the meal time entered by the subject to be tested is taken as the meal detection point. In this case, the glucose monitoring system can more accurately grasp the glucose data of the subject to be measured to determine the corresponding fluctuation characteristics.

According to the glucose monitoring system provided by the present invention, optionally, the time before the meal is the detection time corresponding to the detection point of the meal, and the time after the meal is 3 hours to 5 hours after the time before the meal. Hour. In this case, the glucose monitoring system can determine the fluctuation type according to the change of the glucose concentration of the subject to provide corresponding guidance information or suggestions to the subject or the doctor.

According to the glucose monitoring system provided by the present invention, optionally, the processing module acquires the glucose concentration, the maximum glucose fluctuation range and the meal glucose fluctuation range of the meal detection point based on the glucose data, and based on the meal detection point The type of fluctuation is obtained from the glucose concentration, the maximum glucose fluctuation magnitude and the meal glucose fluctuation magnitude, wherein the maximum meal glucose fluctuation magnitude is the time between the time before the meal and the time after the meal The difference between the maximum glucose concentration and the minimum glucose concentration among the detection points, the meal glucose fluctuation range is between the glucose concentration at the meal detection point and the time before the meal and the time after the meal The difference between the smallest glucose concentrations among the detection points.

In this case, the glucose monitoring system can compare the obtained glucose concentration, maximum glucose fluctuation range and meal glucose fluctuation range with the glucose concentration and fluctuation type algorithm configured in the processing module to determine Corresponding wave type.

According to the glucose monitoring system provided by the present invention, optionally, the fluctuation types include rising, falling, rising first and then falling, falling first and then rising, normal fluctuations not high before meals, and normal fluctuations high before meals. In this case, the glucose monitoring system can determine whether the meal time of the subject to be tested belongs to rising, falling, first rising and then falling, first falling and then rising, fluctuating normal before meal not high and fluctuating normal before meal according to the obtained glucose data. Which one of the higher fluctuation types and provide corresponding guidance information or suggestions for the subject or the doctor according to the determined fluctuation type.

According to the glucose monitoring system provided by the present invention, optionally, the guidance information or suggestions related to eating behavior include suggestions for meal order, meal speed, meal time, and insulin intake time before and after meals. At least one of advice, advice on the type of insulin intake before and after meals, and advice on the amount of insulin intake before and after meals.

In this case, the glucose monitoring system can provide the test subject or the doctor with recommendations on the order of meals, the speed of meals, the timing of meals, the timing of insulin intake before and after meals, the timing of insulin before and after meals, and One of the suggestions on the type of insulin intake and the advice on the amount of insulin intake before and after meals can improve the quality of life of the subject, and can also reduce the need for the subject to seek a doctor and the doctor to provide evaluation advice. time spent.

According to the glucose monitoring system provided in the present invention, optionally, the processing module performs noise reduction processing on the glucose data. In this case, the glucose monitoring system can eliminate possible variables in the glucose data that affect the determination of the fluctuation type to obtain a more accurate fluctuation type.

According to the glucose monitoring system provided by the present invention, optionally, the processing module obtains a glucose concentration curve based on the glucose data and performs smoothing processing on the glucose concentration curve. In this case, the glucose monitoring system can display a smoother glucose dynamic curve for the subject or the doctor, which can improve user experience.

According to the glucose monitoring system provided in the present invention, optionally, the glucose monitoring system further includes a display module configured to display at least one of guidance information, glucose concentration curve and fluctuation type, the guidance information Include reasons for the type of fluctuation described and guidance information or advice related to eating behavior. In this case, the subject or the doctor can observe the glucose data of the subject in real time, and can obtain corresponding fluctuation types and guidance information or suggestions without analysis and evaluation by the doctor.

According to the glucose monitoring system provided in the present invention, optionally, the glucose monitoring system further includes a storage module configured to store the glucose data. In this case, the glucose monitoring system can store the glucose data of more days or meal times, and can compare the glucose data of multiple days or meal times to provide more references for the subjects or doctors. information.

According to the glucose monitoring system provided in the present invention, optionally, the sensing module is used to acquire the glucose concentration in the interstitial fluid, and the sensing module acquires the glucose concentration at a preset frequency. In this case, the interstitial fluid glucose concentration that can be measured by the glucose monitoring system has a good correlation with the venous glucose concentration and finger glucose concentration, and can be used as an auxiliary glucose monitoring method to improve measurement accuracy.

According to the glucose monitoring system provided by the present invention, optionally, the input module, the processing module and the display module are integrated into a mobile terminal device, and the mobile terminal device has a software program configured to pass The input module inputs the meal time, obtains the fluctuation type and guidance information through the processing module, and displays the guidance information through the display module. In this case, the subject to be tested can monitor his own glucose concentration in real time through a convenient way such as a mobile terminal device, and can obtain corresponding guidance and suggestions to improve the quality of life.

According to the glucose monitoring system provided by the present invention, optionally, the processing module classifies the fluctuation type of the glucose concentration based on the classification conditions related to the glucose concentration, and the classification conditions include a first classification condition, a second classification condition, The third classification condition, and the fourth classification condition, the first classification condition is that the maximum glucose fluctuation range is not less than the first preset value; the second classification condition is that the meal glucose fluctuation range is not less than the second preset value. set value; the third classification condition is that the first peak value of the glucose data appears within the preset time after the meal time; the fourth classification condition is that the glucose concentration corresponding to the meal detection point is not less than The third preset value.

In this case, the glucose monitoring system can more quickly obtain the fluctuation type corresponding to the glucose concentration of the subject to be tested at a certain meal time according to the classified conditions in the processing module and provide corresponding guidance information or suggestions in time.

According to the glucose monitoring system provided in the present invention, optionally, the second preset value is greater than the first preset value, and the third preset value is greater than the second preset value. In this case, the glucose monitoring system can more quickly obtain the fluctuation type corresponding to the glucose concentration of the subject to be tested at a certain meal time according to the classified conditions in the processing module and provide corresponding guidance information or suggestions in time.

According to the glucose monitoring system provided by the present invention, optionally, the first preset value is 1.5 to 2.0 mmol/L, the second preset value is 4.0 to 5.0 mmol/L, and the third preset value is not Less than 7.0mmol/L. In this case, the glucose concentration curve measured by the glucose monitoring system can more accurately classify the fluctuation type.

According to the glucose monitoring system provided by the present invention, optionally, the preset time is 0.5 to 2 hours. In this case, the glucose monitoring system can accurately monitor the glucose concentration at the meal time.

According to the glucose monitoring system provided by the present invention, optionally, the sensing module detects the glucose concentration of the interstitial fluid of the subject to be measured through a sensor component capable of reacting with glucose. In this case, the glucose monitoring system can acquire the required glucose data of the subject to be tested from the sensing module and can analyze and process it, and then provide corresponding guidance information to the subject to be tested or the doctor.

According to the glucose monitoring system provided in the present invention, optionally, the communication module transmits the glucose data to the processing module in a wireless or wired manner. In this case, transmitting the glucose data to the processing module in a wireless manner can be more convenient for the subject to be tested and can form a good user experience, and transmitting the glucose data to the processing module in a wired manner can improve data integrity and stability.

According to the glucose monitoring system provided by the present invention, optionally, the wireless method includes at least one of Bluetooth, Wi-Fi, 3G/4G/5G, NFC, UWB and Zig-Bee. In this case, wirelessly transmitting glucose data to the processing module can be more convenient for the subject to be tested and can form a good user experience, and can remotely observe the glucose concentration of the subject to be tested, which is convenient for doctors to provide professional guidance information or suggestions and medical care.

According to the present invention, it is possible to provide a glucose monitoring system for glucose concentration before and after a meal, which is a glucose monitoring system for detecting the glucose concentration of the subject to be tested and giving guidance information or suggestions, which can analyze fluctuation characteristics according to the glucose dynamic curve And help the subject and the doctor read the report quickly and accurately and provide guidance information or advice or guidance information related to eating behavior.

Description of drawings

FIG. 1 is a schematic diagram of an application scenario of a glucose monitoring system for glucose concentrations before and after a meal according to an embodiment of the present invention;

2 is a structural block diagram of a glucose monitoring system for glucose concentrations before and after a meal according to an embodiment of the present invention;

Fig. 3a is a glucose concentration curve graph of a glucose monitoring system whose fluctuation type is rising for glucose concentration before and after a meal according to an embodiment of the present invention;

Fig. 3b is a glucose concentration curve graph in which the fluctuation type of the glucose monitoring system for the glucose concentration before and after meals according to the embodiment of the present invention is decreased;

Fig. 3c is a glucose concentration curve graph in which the fluctuation type of the glucose monitoring system for the glucose concentration before and after meals according to the embodiment of the present invention is rising first and then falling;

Fig. 3d is a graph of the glucose concentration curve in which the fluctuation type of the glucose monitoring system for the glucose concentration before and after a meal according to the embodiment of the present invention is a drop first and then rise;

Fig. 3e-1 is a graph of the glucose monitoring system for the glucose concentration before and after meals according to the embodiment of the present invention, the fluctuation type is fluctuation normal and the glucose concentration curve is not high before meals;

Fig. 3e-2 is a graph of the glucose concentration curve before and after a meal in which the fluctuation type of the glucose monitoring system for the glucose concentration before and after a meal is fluctuating and normal;

Fig. 4a is a schematic diagram of the real-time monitoring interface of the mobile terminal device of the glucose monitoring system for the glucose concentration before and after meals according to the embodiment of the present invention;

Fig. 4b is a schematic interface diagram of the diet analysis of the mobile terminal device of the glucose monitoring system for the glucose concentration before and after meals according to the embodiment of the present invention;

Fig. 4c is a schematic diagram of the interface of the mobile terminal device of the glucose monitoring system for the glucose concentration before and after meals according to the embodiment of the present invention;

Fig. 4d is a schematic diagram of the interface of the food record of the mobile terminal device of the glucose monitoring system for the glucose concentration before and after meals according to the embodiment of the present invention;

Fig. 4e is a schematic diagram of an interface displayed by a mobile terminal device of a glucose monitoring system for glucose concentration before and after a meal according to an embodiment of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

It should be noted that the terms "first", "second", "third" and "fourth" in the description and claims of the present invention and the above drawings are used to distinguish different objects, rather than using to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally further includes For other steps or units inherent in these processes, methods, products or apparatuses. In the following description, the same reference numerals are given to the same components, and repeated descriptions are omitted. In addition, the drawings are only schematic diagrams, and the ratio of dimensions between components, the shape of components, and the like may be different from the actual ones.

The glucose monitoring system for the glucose concentration before and after meals provided by the present invention is a glucose monitoring system for detecting the glucose concentration of the subject to be tested and giving guidance information, which can analyze fluctuation characteristics according to the glucose dynamic curve and help the subject to be tested and The doctor quickly and accurately reads the report and provides guidance information or advice or guidance information related to eating behavior. A detailed description will be given below in conjunction with the accompanying drawings.

The present invention discloses a glucose monitoring system for glucose concentration before and after a meal. In some examples, the glucose monitoring system for glucose concentration before and after a meal may also be referred to as a glucose concentration monitoring system or a glucose monitoring system for short.

Fig. 1 is a schematic diagram of an application scenario of a glucose monitoring system for glucose concentrations before and after a meal according to an embodiment of the present invention, and Fig. 2 is a structural block diagram of a glucose monitoring system for glucose concentrations before and after a meal according to an embodiment of the present invention .

As shown in Figures 1 and 2, the present invention discloses a glucose monitoring system 1 for glucose concentration before and after a meal, which is a glucose monitoring system 1 for detecting the glucose concentration of the subject 2 and giving guidance information, and may include sensor Module 11, communication module 12, and processing module 134, the sensing module 11 can be configured to detect the glucose data of the subject 2, and the glucose data can include the glucose concentration of the subject 2 between before and after meals as a function of time; The communication module 12 may be configured to receive the glucose data and send it to the processing module 134; the processing module 134 may be configured to determine the fluctuation pattern of the glucose concentration based on the glucose data, the fluctuation pattern reflects the change trend of the glucose concentration between pre-meal and post-meal, and Guidance information or advice related to eating behavior may be generated according to the type of fluctuation.

In this case, the sensing module 11 can continuously monitor the time-varying glucose concentration of the subject 2 before and after the meal in real time and generate data to send to the communication module 12, which is more convenient than manually collecting the glucose concentration Rapidly; in addition, the communication module 12 can send the real-time glucose data of the subject 2 to the processing module 134 to generate real-time and continuous dynamic glucose data, the sampling period is short, and the data accuracy rate is improved; in addition, the processing module 134 can receive and Determine the fluctuation type of the glucose concentration of the subject 2 according to the received glucose data, and then generate guidance information or suggestions related to dietary behavior according to the fluctuation type and provide them to the subject 2 or the doctor in time, and reduce the traditional manual collection of glucose concentration and seeking Time spent on doctor's advice.

In some examples, the glucose data may include glucose concentrations at multiple detection points and detection times that match the multiple detection points. point, then take any one of the two adjacent detection points as the meal detection point, if the meal time entered by the subject 2 is not between the two adjacent detection points and not at the midpoint of the corresponding detection time, then The detection point closest to the meal time entered by the subject 2 is taken as the meal detection point. In this case, the glucose monitoring system 1 can more accurately grasp the glucose data of the subject 2 to determine corresponding fluctuation characteristics.

In some examples, as shown in Figure 2, the glucose monitoring system 1 may include a sensing module 11, in which case the glucose monitoring system 1 is capable of collecting glucose concentration information.

In some examples, the sensing module 11 may be an implantable or semi-implantable glucose detection sensor. Preferably, the sensing module 11 may be an implantable glucose detection sensor. In this case, the implantable or semi-implantable sensor can reduce the physiological pain caused by the traditional blood collection method of the subject 2 in the past, and has the advantages of short collection period, large sampling data, and continuous sampling. In some other examples, the sensing module 11 may also be a non-implantable sensor. In this case, the sampled patient needs to collect blood regularly, and the data accuracy is high.

In some examples, the sensing module 11 can be used to acquire the glucose concentration in the interstitial fluid, in other words, the sensing module 11 can be a subcutaneous implanted sensor. In this case, since the glucose concentration in the interstitial fluid is equal to or strictly corresponds to plasma glucose in a steady state, the rate of change of the blood glucose concentration in a short period of time after the intake of high-sugar food or glucose injection It is ahead of the interstitial fluid, so it can accurately reflect the glucose concentration of the object to be measured, that is, the glucose concentration of the interstitial fluid that can be measured by the glucose monitoring system 1 has a good correlation with the venous glucose concentration and finger glucose concentration , and can be used as an auxiliary glucose monitoring method to improve measurement accuracy.

In some examples, the sensing module 11 can acquire the glucose concentration at a preset frequency (or a preset collection frequency). In this case, a plurality of glucose concentrations can be obtained, so that an approximately continuous glucose concentration curve can be formed.

In some examples, the sensing module 11 can be adjusted at a preset frequency. For example, when the glucose concentration of the subject 2 varies in a small range, the sensing module 11 can obtain the glucose concentration at a lower preset frequency. When the glucose concentration of the measured object 2 changes greatly, the sensing module 11 can acquire the glucose concentration at a relatively high preset frequency. In this case, the preset frequency of the sensing module 11 can be adjusted according to actual conditions.

In some examples, the sensing module 11 can also be used to acquire glucose data in other body fluids of the subject 2 to be measured. For example, glucose concentration in urine.

In some other examples, the sensing module 11 can detect the glucose concentration of the interstitial fluid of the subject 2 through a sensor component capable of reacting with glucose. In this case, the glucose monitoring system 1 can acquire the required glucose data of the subject 2 from the sensing module 11 and analyze and process it, and then provide corresponding guidance information to the subject 2 or the doctor.

In some examples, the sensing module 11 may be composed of bioactive substances and micro-electrodes. In this case, the biologically active substance is able to react with glucose and have a chemical signal on the tiny electrodes to form an electrical signal and generate data.

In some examples, the sensing module 11 may be arranged near the upper arm of the subject 2 to be measured, thereby reducing the impact of the sensing module 11 on the daily life behavior of the subject 2 to be measured.

In some examples, preferably, the communication module 12 may be a wireless communication device, and the communication mode of the wireless communication device may be at least one of Bluetooth, Wi-Fi, 3G/4G/5G, NFC, UWB and Zig-Bee. In other examples, the communication module 12 may be a wired communication device. In this case, interference such as radiation and noise can be prevented to improve the stability and effectiveness of data transmission.

In some examples, the sensing module 11 and the communication module 12 can be integrated into one body and can be implanted into the body of the object 2 to be measured in implantable or semi-implantable manners. In this case, the sensing module 11 can directly send the glucose data of the subject 2 to the communication module 12 after detecting the glucose data of the subject 2 to realize instant detection, which is fast and fast, and reduces the trouble of the subject 2 needing to carry the communication module 12 in real time.

In some examples, the communication module 12 may transmit the glucose data to the processing module 134 wirelessly or by wire. In this case, transmitting the glucose data to the processing module 134 in a wireless manner can be more convenient for the subject 2 to be measured and can form a good user experience, and transmitting the glucose data to the processing module 134 in a wired manner can improve the integrity and stability of the data sex.

In some examples, preferably, the communication module 12 can wirelessly transmit the glucose data to the processing module 134 . In this case, the glucose monitoring system 1 can bring better user experience to the subject 2 or other users.

In some examples, the wireless manner may include at least one of Bluetooth, Wi-Fi, 3G/4G/5G, NFC, UWB, and Zig-Bee. In this case, transmitting the glucose data to the processing module 134 in a wireless manner can be more convenient for the subject 2 to be measured and can form a good user experience, and can remotely observe the glucose concentration of the subject 2 to be measured, which is convenient for doctors to provide professional guidance and suggestions and medical care.

In some examples, the communication module 12 can perform data transmission in a Bluetooth manner. In this case, the processing module 134 can acquire the monitoring data of the sensing module 11 within a limited range.

In some examples, as shown in FIG. 2 , the glucose monitoring system 1 may further include a display module 131 configured to display at least one of guidance information, a glucose concentration curve, and a fluctuation type. The display module 131 can also be integrated in the mobile terminal device, in other words, the display module can be a display interface of the mobile terminal device.

For example, FIGS. 4a to 4e are schematic diagrams showing the real-time monitoring interface of the mobile terminal device of the glucose monitoring system for glucose concentration before and after meals, the interface diagram of diet analysis, and the interface diagram of guidance information according to the embodiment of the present invention. Schematic diagram of the interface of dietary records, and a schematic diagram of the interface of dietary behavior records.

In some examples, the guidance information includes a reason for the type of fluctuation and guidance information or advice related to eating behavior. In this case, the subject 2 or the doctor can observe the glucose data of the subject 2 in real time, and can obtain corresponding fluctuation types and guidance suggestions without analysis and evaluation by the doctor.

In some examples, as shown in FIG. 2 , the glucose monitoring system 1 may further include a recording module 132, which may be used to record the meal time when the subject 2 begins to eat. In this case, the glucose monitoring system 1 can determine the meal time of the subject 2 so as to provide more accurate guidance information or suggestions for the subject 2 or the doctor according to the dynamic glucose curve.

In some examples, preferably, the entry module 132 can be integrated with the processing module 134 . In this case, the meal information entered by the subject 2 can be received by the processing module 134 in real time and used for processing and analysis.

In some examples, entry module 132 may automatically identify meal times based on glucose concentration. In this case, the operation steps of the subject 2 can be reduced, and the convenience of the glucose monitoring system 1 can be improved.

In some examples, the input module 132 can also input at least one of the food name, food type, and food amount of the meal. Wherein, the food type can be carbohydrate, fat or protein.

In some examples, the input module 132 can also input whether there is exercise, exercise time or exercise type before and after meals.

For example, as shown in Figures 4b and 4e, the subject 2 to be tested can enter his diet-related information into the mobile terminal device of the glucose monitoring system 1 through the input module, such as check-in time, diet menu, etc.

In some examples, the glucose monitoring system 1 may also include a storage module 133 configured to store glucose data. In this case, the glucose monitoring system 1 can store the glucose data of more days or meal times, and can compare the glucose data of multiple days or multiple meal times to provide more reliable information for the subject 2 or the doctor. Reference information.

In some examples, the storage module 133 may be disposed on the sensing module 11 . In this case, the glucose data acquired by the sensing module 11 can be temporarily stored in the storage module 133 . In some examples, the storage module 133 may be disposed in the processing module 134 . In this case, the glucose data from the sensing module 11 is collected and stored in the storage module 133 for a long time. In other words, the storage module 133 may include a first storage module (not shown) and a second storage module (not shown), the first storage module is integrated in the sensing module 11, the second storage module is integrated in the mobile terminal device 13, the second storage module A storage module can be used to temporarily store glucose data, and transmit the glucose data of the first storage module to the second storage module when the communication module 12 is working normally.

In some examples, the storage module 133 may overwrite the old glucose data with the new glucose data, and the detection time difference between the new glucose data and the old glucose data may be more than 14 days. In this case, the storage space of the storage module 133 can be fully utilized.

In some examples, preferably, the processing module 134 is located in the mobile terminal device 13 (described later). For example, a personal mobile phone, a laptop, a computer, a custom processor, etc. In this case, observers such as the subject 2 or a doctor can obtain the glucose data of the subject 2 conveniently and quickly.

In some examples, the processing module 134 may also be a cloud processing device. In this case, the processing module 134 can monitor the glucose concentration of each test object 2 at the same time.

In some examples, the input device of the mobile terminal device 13 can be used to input meal time information, in other words, the input module 132 can be the input device of the mobile terminal device 13, in this case, can use voice input, touch screen input or The meal time information of the subject 2 to be tested is entered by means of keyboard input. In this case, the input information can be conveniently and quickly processed and analyzed by the processing module 134 and generate corresponding guidance information based on the glucose data to be fed back to the subject 2 or the doctor.

In some examples, as mentioned above, the storage module 133 and the processing module 134 can be integrated in the same mobile terminal device 13 . In this case, the processing module 134 and the storage module 133 can coordinate and process the glucose data of the subject 2 to generate multiple data types and store multi-day data.

In some examples, the display module 131 and the processing module 134 can be integrated in the same mobile terminal device 13 . In this case, the processing module 134 can display the glucose concentration of the test subject 2 to the test subject 2 or the doctor in real time after data processing, and can control the display module 131 to display corresponding guidance information or suggestions in time.

In some examples, the input module 132, the processing module 134 and the display module 131 can be integrated into the mobile terminal device 13, and the mobile terminal device 13 has a software program configured to input the meal time through the input module 132, and obtain the fluctuation time through the processing module 134. type and guide information, and display the guide information through the display module 131. In this case, the subject 2 to be tested can monitor his own glucose concentration in real time through the mobile terminal device 13, and can obtain corresponding guidance and suggestions to improve the quality of life.

In some examples, the input module 132, the processing module 134 and the display module 131 may not be integrated with the mobile terminal device 13, that is, the input module 132, the processing module 134 and the display module 131 may be set separately. In this case, the functions of the input module 132 , the processing module 134 and the display module 131 can be respectively implemented in different positions.

In some examples, if the meal time entered by the subject 2 is outside of two adjacent detection points, the detection point closest to the meal time may be used as the meal time detection point. In this case, the glucose monitoring system 1 can more accurately grasp the glucose data of the subject 2 to determine corresponding fluctuation characteristics.

In some examples, the time before the meal may be the detection time corresponding to the detection point of the meal, and the time after the meal may be 3 hours to 5 hours after the time before the meal. In this case, the glucose monitoring system 1 can determine the fluctuation type according to the change of the glucose concentration of the subject 2 to provide corresponding guidance information or advice or information to the subject 2 or the doctor.

In some examples, the time before the meal is the detection time corresponding to the detection point of the meal, and the time after the meal is 3 hours, 4 hours, 5 hours, 6 hours, etc. after the time before the meal. In this case, the glucose monitoring system 1 can determine the fluctuation type according to the change of the glucose concentration of the subject 2 to provide corresponding guidance information or suggestions or information to the subject 2 or the doctor.

In some examples, the processing module 134 can obtain the glucose concentration at the meal detection point, the maximum glucose fluctuation magnitude and the meal glucose fluctuation magnitude based on the glucose data, and can obtain the glucose concentration at the meal detection point, the maximum glucose fluctuation magnitude and the meal glucose fluctuation magnitude Wave type.

In some examples, the maximum meal glucose fluctuation magnitude may be the difference between the maximum glucose concentration and the minimum glucose concentration among the detection points between the time before the meal and the time after the meal.

In some examples, the meal glucose fluctuation magnitude may be the difference between the glucose concentration at the test point of the meal and the smallest glucose concentration among the test points between the time before the meal and the time after the meal.

In this case, the glucose monitoring system 1 can compare the glucose concentration and fluctuation type algorithm configured in the processing module 134 according to the obtained glucose concentration, maximum glucose fluctuation range, and meal glucose fluctuation range of the subject 2 at the meal detection point. Compare to determine the corresponding wave type.

Fig. 3a is a glucose concentration curve graph of the glucose monitoring system for the glucose concentration before and after a meal according to an embodiment of the present invention, and the fluctuation type is a rising glucose concentration; The fluctuation type of the glucose monitoring system is a graph of reduced glucose concentration; FIG. 3c is a glucose concentration graph of the glucose monitoring system for the glucose concentration before and after meals according to an embodiment of the present invention. Fig. 3d is the glucose concentration curve graph of the glucose monitoring system for the glucose concentration before and after the meal according to the embodiment of the present invention, the fluctuation type is the first drop and then rise; Fig. 3e-1 is the glucose concentration curve for the meal The fluctuation type of the glucose monitoring system for the glucose concentration before and after the meal is a graph of the glucose concentration curve that is not high before the normal meal; FIG. 3e-2 is the fluctuation type of the glucose monitoring system for the glucose concentration before and after the meal related to the embodiment of the present invention It is a curve graph of fluctuating normal high glucose concentration before meals.

In other examples, the processing module 134 can also obtain the glucose concentration at the meal detection point, the maximum glucose fluctuation range, and the meal glucose fluctuation range based on the glucose data, and can obtain the glucose concentration at the meal detection point, the maximum glucose fluctuation range, and the meal glucose fluctuation range Amplitude is another mathematical way or algorithm to get the wave type. In this case, the glucose monitoring system 1 can compare the glucose concentration and fluctuation type algorithm configured in the processing module 134 according to the obtained glucose concentration, maximum glucose fluctuation range, and meal glucose fluctuation range of the subject 2 at the meal detection point. Compare to determine the corresponding wave type.

In some examples, the fluctuation type may include rising, falling, rising and then falling, falling and then rising, normal low fluctuation before meals, and normal fluctuation high before meals. In this case, the glucose monitoring system 1 can determine according to the obtained glucose data whether the meal time of the subject 2 belongs to rising, falling, rising first and then falling, falling first and then rising, normal fluctuations, not high before meals, and normal fluctuations Which one of the fluctuation types that are higher before meals and provide corresponding guidance information or suggestions for the subject 2 or the doctor according to the determined fluctuation types.

In some examples, the fluctuation type may divide the fluctuation type at each meal time according to three meals. In some examples, the guidance information or suggestion can be provided according to the monitoring days and fluctuation types of the glucose monitoring system 1 and is not limited to one kind of guidance information or suggestion. For example, the monitoring days of the glucose monitoring system 1 can be set to 15 consecutive days, or longer or shorter days. In this case, according to the corresponding three meal information, fluctuation types and days, the glucose monitoring system 1 can provide guidance information or suggestions to adapt to the glucose concentration of the subject 2 so as to help them improve their quality of life.

Figure 4a is a schematic diagram of the real-time monitoring interface of the mobile terminal device of the glucose monitoring system for the glucose concentration before and after a meal according to the embodiment of the present invention; Schematic interface diagram of the diet analysis of the mobile terminal device of the glucose monitoring system; FIG. 4c is a schematic interface diagram of the guidance information of the mobile terminal device of the glucose monitoring system for glucose concentrations before and after meals according to an embodiment of the present invention.

In some examples, one fluctuation type may correspond to multiple guidance suggestions according to the monitoring days of the glucose monitoring system 1 .

In some examples, as shown in Figures 4a, 4b and 4c, the guidance suggestions may include guidance suggestions for diet at different times of the same day. For example, the guidance suggestions can include guidance suggestions corresponding to breakfast, lunch and dinner. Specifically, the glucose monitoring system 1 can give the type of breakfast time as rising, the type of lunch time as rising, and the type of dinner time. for lowering.

In some examples, the guidance advice may include the number of days to monitor, for example, the guidance advice may indicate that day is day 1 of using glucose monitoring system 1, the guidance advice may indicate that day is day 2 of use of glucose monitoring system 1, the guidance advice may indicate The current day is the 14th day when the glucose monitoring system 1 is used, etc.

In some examples, as mentioned above, the guidance suggestion may include the reasons for the type of fluctuations. Specifically, if the type of fluctuations is elevated, there may be multiple reasons, such as eating too much carbohydrates, eating too much fat, For reasons such as a single breakfast structure or high secretion of glycemic hormones in the morning, one or more reasons can be given in the guidance. In this case, it is possible for the subject 2 to preliminarily deduce the cause of the corresponding fluctuation type.

In some examples, the reasons for the fluctuation types in each guidance recommendation may be different from each other. In this case, it is possible to make the object 2 to be measured fully understand the multiple reasons for the occurrence of the corresponding fluctuation type.

Fig. 4d is a schematic diagram of the diet record interface of the mobile terminal device of the glucose monitoring system for the glucose concentration before and after the meal according to the embodiment of the present invention; A schematic diagram of the interface displayed by the dietary behavior record of the mobile terminal device of the glucose monitoring system.

In some examples, as shown in Figures 4c, 4d, and 4e, the guidance suggestion can also include a reference menu, and the reference menu can include food names and food weights. For example, the reference menu can be one or two halves of tartary buckwheat noodles with poached eggs on tomato lettuce, two taels of cold okra, and three steamed shrimps. In some examples, the reference menu can have different recipes, which can match the wave type. In some examples, the reference menu given by the guidance suggestion may be different each time. In this case, the test subject 2 can obtain a plurality of different recipes.

In some examples, guidance advice can look like this:

The type of breakfast time: rising type, the number of days is 1, the corresponding guidance information or suggestion is: do you eat a lot of carbohydrates, carbohydrates rise quickly and have a large range, you can refer to the menu tomato lettuce poached egg half of tartary buckwheat noodles, cold salad 2 taels of okra, 3 steamed shrimp;

The type of breakfast moment: Elevated type, the number of days is 2, and the corresponding guidance information or suggestion is: Do you eat a lot of fat? Lipids also raise sugar, you can refer to the menu for one and a half whole wheat bread, one cucumber, one tomato, and one cup of sugar-free soy milk;

The type of breakfast time: reduced type, the number of days is 1, and the corresponding guidance information or suggestion is: Do you do a lot of exercise after meals? You can refer to the menu for a small bowl of red bean barley porridge, 1 tael of boiled green beans, 2 taels of fried shrimp with fungus;

The type of breakfast time: reduced type, the number of days is 2, and the corresponding guidance information or suggestion is: Is this meal less than usual? You can refer to the menu for a small bowl of tofu brain, 1 tael of fried dough sticks, 2 taels of cold cabbage and seaweed shreds;

The type of dinner time: rising type, the number of days is 1, the corresponding guidance information or suggestion is: the glucose rise is slightly larger, and the food with high carbohydrate content should be eaten less. You can refer to the menu soba noodles 2 taels, stewed stew: 1 tael each of eggplant, beans, cabbage, bell pepper, and pork.

In some examples, guidance information or recommendations related to eating behavior may also include recommendations for meal order, meal speed, meal timing, insulin timing before and after meals, insulin intake before and after meals. At least one of advice on the type of intake and advice on the amount of insulin intake before and after meals.

In this case, the glucose monitoring system 1 can provide the subject 2 or the doctor with suggestions on the sequence of meals, the speed of meals, the time of meals, the timing of insulin intake before and after meals, and the time of taking insulin before and after meals for the subject 2 or the doctor according to the determined fluctuation type. One of the suggestions on the type of insulin intake before and after meals and the advice on the amount of insulin intake before and after meals can improve the quality of life of the subject 2 and reduce the need for the subject 2 to seek doctors and doctors. Time spent providing evaluation recommendations.

In some examples, the processing module 134 may perform noise reduction processing on the glucose data. In this case, the glucose monitoring system 1 can eliminate possible variables in the glucose data that affect the determination of the fluctuation type to obtain a more accurate fluctuation type.

In some examples, the processing module 134 may obtain and smooth the glucose concentration profile based on the glucose data. In this case, the glucose monitoring system 1 can display a smoother glucose dynamic curve for the subject 2 or the doctor, which can facilitate the doctor to interpret and classify the glucose dynamic curve, thereby giving more accurate guidance and suggestions, and improving user experience.

In some examples, the processing module 134 may classify the fluctuation type of the glucose concentration based on classification conditions related to the glucose concentration, the classification conditions including a first classification condition, a second classification condition, a third classification condition, and a fourth classification condition, The first classification condition is that the maximum glucose fluctuation range is not less than the first preset value; the second classification condition is that the meal glucose fluctuation range is not less than the second preset value; the third classification condition is that the first peak value of the glucose data occurs at the meal time After the preset time; the fourth classification condition is that the glucose concentration corresponding to the meal detection point is not less than the third preset value.

In this case, the glucose monitoring system 1 can more quickly obtain the fluctuation type corresponding to the glucose concentration of the subject 2 at a certain meal time according to the classified conditions in the processing module 134 and the fluctuation characteristics of the glucose data curve, and provide corresponding information in time. guidance advice.

In some examples, the second preset value may be greater than the first preset value, and the third preset value may be greater than the second preset value. In this case, the glucose monitoring system 1 can be optimized in algorithm and can more quickly obtain the fluctuation type corresponding to the glucose concentration of the subject 2 at a certain meal time according to the classified conditions in the processing module 134 and provide corresponding information in time. guidance advice.

In some examples, the first preset value can be 1.5 to 2.0mmol/L, for example, the first preset value can be 1.5mmol/L, 1.6mmol/L, 1.7mmol/L, 1.8mmol/L, 1.9mmol/L L, or 2.0mmol/L, etc., preferably, the first preset value may be 1.7mmol/L or 1.8mmol/L. In this case, it can be judged whether the glucose fluctuation before and after a meal is large.

In some examples, the second preset value can be 4.0 to 5.0mmol/L, for example, the second preset value can be 4.1mmol/L, 4.2mmol/L, 4.3mmol/L, 4.4mmol/L, 4.5mmol/L L, 4.6mmol/L, 4.7mmol/L, 4.8mmol/L, 4.9mmol/L or 2.mmol/L0 etc., preferably, the second preset value can be 4.4mmol/L, 4.5mmol/L, or 4.6mmol/L. In this case, it can be judged whether the glucose fluctuation after a meal is large.

In some examples, the third preset value may not be less than 7.0 mmol/L. For example, the third preset value can be 7.0mmol/L, 7.2mmol/L, 7.4mmol/L, 7.6mmol/L, 7.8mmol/L, 8.0mmol/L, 8.2mmol/L, 8.4mmol/L, 8.8mmol /L, 9.0mmol/L or 10.0mmol/L, etc., preferably, the third preset value may be 7.0mmol/L, 7.2mmol/L, or 7.4mmol/L. In this case, it is possible to determine whether the pre-meal glucose is high. Therefore, the glucose concentration curve measured by the glucose monitoring system 1 can more accurately classify fluctuation types.

In some examples, the preset time may be 0.5 to 2 hours. For example, the preset time can be 0.5h, 0.6h, 0.7h, 0.8h, 0.9h, 1.0h, 1.2h, 1.3h, 1.4h, 1.5h, 1.6h, 1.7h, 1.8h, 1.9h, or 2.0 h, preferably, the preset time may be 0.8h, 0.9h, 1.0h, or 1.2h. In this case, the glucose monitoring system 1 can determine whether the glucose concentration drops first and then rises or rises first and then falls, so as to accurately monitor the glucose concentration at the meal time.

In some examples, the preset time can be set to a greater or lesser range of 0.5 to 2 hours. In this case, the glucose monitoring system 1 can accurately monitor the glucose concentration at meal times. For example, according to the above four classification conditions of the first classification condition, the second classification condition, the third classification condition, and the fourth classification condition, the following fluctuation types can be obtained (the units of the data described in the following algorithms are all Use mmol/L for glucose concentration):

In some examples, as shown in Fig. 3a: the analysis period of the glucose concentration curve whose fluctuation type is rising is the meal time point—4 hours after the meal. The fluctuation type is the rising glucose concentration curve. The fluctuation characteristics of the curve are: 1. The crest rises as a whole (some can fall); 2. The lowest value of the trough is not lower than the glucose value (undetermined value) at mealtime - the first preset value. The fluctuation type is the formula algorithm of the rising glucose concentration curve: 1. The highest value of the peak-the lowest value of the trough>=the second preset value; 2. Glucose value (indeterminate value)-the lowest value of the trough<the first default value.

In some examples, as shown in FIG. 3 b : the analysis period of the glucose concentration curve whose fluctuation type is postprandial glucose decrease is the meal time point—4 hours after the meal. The fluctuation type of the glucose concentration curve is that the postprandial glucose decreases. The fluctuation characteristics of the glucose concentration curve are 1. The peak decreases as a whole (some can rise); 2. The lowest value of the trough is lower than the glucose value (indeterminate value) at the meal - the first preset value. The formula algorithm of the glucose concentration curve whose fluctuation type is postprandial glucose reduction is 1. Peak peak value-trough minimum value<second preset value; 2 glucose value (undetermined value)-trough minimum value>=first preset set value.

In some examples, as shown in FIG. 3 c , the analysis period of the glucose concentration curve whose fluctuation type is that the postprandial glucose rises first and then falls is the meal time point—4 hours after the meal. The fluctuation type is that the postprandial glucose first rises and then falls. The fluctuation characteristics of the glucose concentration curve are 1. First, there is a rise-based fluctuation, and then a decline-based fluctuation; value)-the first preset value; 3. The first rising peak starts within 1 hour from the meal time. The formula algorithm of the glucose concentration curve whose fluctuation type is that the postprandial glucose first rises and then falls is 1. The highest value of the peak-the lowest value of the trough>=the second preset value; 2. The glucose value (unfixed value)-the lowest value of the trough during meals >=the first preset value.

In some examples, as shown in FIG. 3d , the analysis period of the glucose concentration curve whose fluctuation type is that the postprandial glucose drops first and then rises is the meal time point—4 hours after the meal. The fluctuation type is that the glucose concentration curve first drops and then rises after a meal. The fluctuation characteristics of the glucose concentration curve are 1. First, there is a fluctuation that is mainly a decline, and then a fluctuation that is mainly an increase; - the first preset value; 3. The first wave peak with a main decline starts within 1 hour from the meal time. The formula algorithm of the glucose concentration curve whose fluctuation type is that the postprandial glucose drops first and then rises is 1. Glucose value (indeterminate value) during meals-the lowest value of the valley>=the first preset value; 2. The highest value of the peak-the lowest value of the valley >=Second preset value.

In some examples, as shown in Fig. 3e-1: the fluctuation type is postprandial glucose fluctuation, and the analysis period of the glucose concentration curve with normal preprandial not high is the meal time point—4 hours after meal. The fluctuation type is postprandial glucose fluctuation. The fluctuation characteristics of the glucose concentration curve that is not high before meals are: 1. The peak rises first and then falls (there may be partial rises and partial falls alternately); 2. The trough is higher than (glucose value at mealtime - first preset value) (indeterminate value). The fluctuation type is postprandial glucose fluctuation. The formula algorithm of the glucose concentration curve that is not high before meals is 1. The highest value of the peak - the lowest value of the trough < the second preset value; 2. Glucose value during meals (unfixed value) - The lowest value of the trough<the first preset value; 3. The pre-meal glucose<the third preset value.

In some examples, as shown in Fig. 3e-2: the fluctuation type is postprandial glucose fluctuation, and the analysis period of the glucose concentration curve with normal preprandial high is the meal time point—4 hours after meal. The fluctuation type is postprandial glucose fluctuation. The fluctuation characteristics of the high preprandial glucose concentration curve are 1. The peak rises first and then falls (there may be partial rises and partial falls alternately); 2. The trough is higher than (glucose value at mealtime - first preset value) (indeterminate value). The fluctuation type is postprandial glucose fluctuation. The formula algorithm of the high preprandial glucose concentration curve is 1. The highest value of the peak - the lowest value of the trough < the second preset value; 2. Glucose value during meals (unfixed value) - Lowest value of trough<first preset value; 3. pre-meal glucose>=third preset value.

In addition, other types: the analysis period is the meal time point - 4 hours after the meal, and the judgment logic or fluctuation characteristics do not meet the above five types, then the evaluation result of the fluctuation trend is irregular fluctuation of postprandial glucose (this kind of logic needs to be iterated, further classification ).

Although the present invention has been specifically described above with reference to the drawings and examples, it should be understood that the above description does not limit the present invention in any form. Those skilled in the art can make modifications and changes to the present invention as required without departing from the true spirit and scope of the present invention, and these modifications and changes all fall within the scope of the present invention.

Claims (20)

1. A glucose monitoring system for glucose concentration before and after meals is a glucose monitoring system for detecting the glucose concentration of a to-be-detected object and giving guidance information, and is characterized by comprising a sensing module, a communication module and a processing module, wherein the sensing module is configured to detect glucose data of the to-be-detected object, and the glucose data comprises the glucose concentration of the to-be-detected object which changes along with time between before meals and after meals; the communication module is configured to receive the glucose data and send to the processing module; the processing module is configured to determine a fluctuation type of the glucose concentration based on the glucose data, the fluctuation type reflecting a trend of change of the glucose concentration between before and after a meal, and generate guidance information or advice related to eating behavior according to the fluctuation type.

2. The glucose monitoring system of claim 1, wherein:

the glucose monitoring system further comprises an entry module, and the entry module is used for entering the dining time when the object to be tested starts to have a meal.

3. The glucose monitoring system of claim 2, wherein:

the glucose data comprises glucose concentration of a plurality of detection points and detection time matched with the detection points, if the meal time recorded by the object to be detected is located at the midpoint of the detection time corresponding to two adjacent detection points, any one of the two adjacent detection points is used as the meal detection point, and if the meal time recorded by the object to be detected is not between the two adjacent detection points and is not at the midpoint of the corresponding detection time, the detection point closest to the meal time recorded by the object to be detected is used as the meal detection point.

4. The glucose monitoring system of claim 3, wherein:

the time before meal is the detection time corresponding to the meal detection point, and the time after meal is 3-5 hours after the time before meal.

5. The glucose monitoring system of claim 3, wherein:

the processing module obtains a glucose concentration, a maximum glucose fluctuation width, and a meal glucose fluctuation width of the meal detection point based on the glucose data, and obtains the fluctuation type based on the glucose concentration, the maximum glucose fluctuation width, and the meal glucose fluctuation width of the meal detection point, wherein the maximum meal glucose fluctuation width is a difference between a maximum glucose concentration and a minimum glucose concentration among detection points between a time before the meal and a time after the meal, and the meal glucose fluctuation width is a difference between a glucose concentration of the meal detection point and a minimum glucose concentration among detection points between the time before the meal and the time after the meal.

6. The glucose monitoring system of claim 1, wherein:

the fluctuation types comprise rising, falling, rising first and falling second, low before the normal meal and high before the normal meal.

7. The glucose monitoring system of claim 5, wherein:

the instructional information or advice related to the eating behavior comprises at least one of advice for a sequence of meals, advice for a speed of meals, advice for a time of insulin intake before and after meals, advice for a type of insulin intake before and after meals, and advice for an amount of insulin intake before and after meals.

8. The glucose monitoring system of claim 1, wherein:

and the processing module is used for carrying out noise reduction processing on the glucose data.

9. The glucose monitoring system of claim 1, wherein:

the processing module obtains a glucose concentration curve based on the glucose data and smoothes the glucose concentration curve.

10. The glucose monitoring system of claim 1, wherein:

the glucose monitoring system further includes a display module configured to display at least one of instructional information, a glucose concentration profile, and a fluctuation type, the instructional information including a reason for generating the fluctuation type and instructional information or advice relating to eating behavior.

11. The glucose monitoring system of claim 2, wherein:

the glucose monitoring system also includes a storage module configured to store the glucose data.

12. The glucose monitoring system of claim 1, wherein:

the sensing module is used for acquiring the glucose concentration in interstitial fluid, and the sensing module acquires the glucose concentration at a preset frequency.

13. The glucose monitoring system of claim 11, wherein:

the input module, the processing module and the display module are integrated in a mobile terminal device, the mobile terminal device is provided with a software program, the software program is configured to input the dining time through the input module, obtain the fluctuation type and the guidance information through the processing module, and display the guidance information through the display module.

14. The glucose monitoring system of claim 5, wherein:

the processing module classifies a fluctuation type of the glucose concentration based on a classification condition related to the glucose concentration, the classification condition including a first classification condition, a second classification condition, a third classification condition, and a fourth classification condition,

the first classification condition is that the maximum glucose fluctuation amplitude is not less than a first preset value;

the second classification condition is that the fluctuation range of the dining glucose is not less than a second preset value;

the third classification condition is that the first peak of the glucose data occurs within a preset time after the meal time;

and the fourth classification condition is that the glucose concentration corresponding to the dining detection point is not less than a third preset value.

15. The glucose monitoring system of claim 14, wherein:

the second preset value is larger than the first preset value, and the third preset value is larger than the second preset value.

16. The glucose monitoring system of claim 14, wherein:

the first preset value is 1.5-2.0 mmol/L, the second preset value is 4.0-5.0 mmol/L, and the third preset value is not less than 7.0mmol/L.

17. The glucose monitoring system of claim 14, wherein:

the preset time is 0.5 to 2 hours.

18. The glucose monitoring system of claim 14, wherein:

the sensing module detects the glucose concentration of interstitial fluid of the object to be detected through a sensor component capable of reacting with glucose.

19. The glucose monitoring system of claim 1, wherein:

and the communication module transmits the glucose data to the processing module in a wireless mode or a wired mode.

20. The glucose monitoring system of claim 1, wherein:

the wireless mode comprises at least one of Bluetooth, wi-Fi, 3G/4G/5G, NFC, UWB and Zig-Bee.

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