CN115804594A - Glucose monitoring system for glucose concentration levels before and after exercise - Google Patents

Abstract

The invention provides a glucose monitoring system for glucose concentration before and after movement, which is used for detecting the glucose concentration of an object to be detected and giving out 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 the glucose data of the object to be detected, and the glucose data comprises the time-varying glucose concentration of the object to be detected between before and after movement; the communication module is configured to receive the glucose data and send the glucose data 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 exercise, and generate guidance information or advice related to the exercise behavior according to the fluctuation type.

Description

Glucose monitoring system for glucose concentration levels before and after exercise

technical field

The present invention specifically relates to a glucose monitoring system for glucose concentration before and after exercise, 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 is not based on the thinking of the CGMS dynamic curve to provide users with exercise reason analysis and guidance information or suggestions, 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 advice) , and doctors or diabetes educators need to spend 30-60 minutes to interpret the dynamic curve of the exercise moment 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 exercise, which is a glucose monitoring system for detecting the glucose concentration of the 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 quickly and accurately read the report and provide suggestions or guidance information related to exercise behavior.

For this reason, the present invention discloses a glucose monitoring system for glucose concentration before and after exercise, 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 that changes with time between before exercise and after exercise; the communication module is configured receiving the glucose data and sending to the processing module; the processing module is configured to determine a fluctuation pattern of glucose concentration based on the glucose data, the fluctuation pattern reflecting the glucose concentration between pre-exercise and post-exercise Change trends, and generate guidance information or suggestions related to sports behaviors according to the fluctuation types.

In this case, the sensing module can continuously monitor the time-varying glucose concentration of the subject before and after exercise 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, guidance information or suggestions related to exercise behavior are generated and provided to the subject or the doctor in time according to the fluctuation type, 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 exercise time when the subject to be measured starts exercising. In this case, the glucose monitoring system can determine the exercise time of the subject to provide more accurate guidance information or advice for the subject or the doctor according to the dynamic glucose curve.

The glucose data includes the glucose concentration of multiple detection points and the detection time matching the multiple detection points, if the exercise time entered by the subject to be tested is located at the midpoint of the detection time corresponding to two adjacent detection points , then take any one of the two adjacent detection points as a motion detection point, if the motion time entered by the object to be measured is not between two adjacent detection points or not located in the corresponding The midpoint of the detection time, the detection point closest to the motion time recorded by the object to be measured is taken as the motion 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 pre-exercise time is the detection time corresponding to the motion detection point, and the post-exercise time is 3 hours to 5 hours after the pre-exercise time. 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 in the present invention, optionally, the processing module obtains the glucose concentration, the first glucose fluctuation amplitude and the second glucose fluctuation amplitude at the motion detection point based on the glucose data, and based on the motion The glucose concentration at the detection point, the first glucose fluctuation amplitude and the second glucose fluctuation amplitude obtain the fluctuation type, wherein the first glucose fluctuation amplitude is the time before the exercise and the time after the exercise The difference between the maximum glucose concentration among the detection points between times and the glucose concentration at the exercise detection point, the second glucose fluctuation range is the difference between the glucose concentration at the exercise detection point and the time before the exercise The difference between the minimum glucose concentration among the detection points between and the post-exercise time.

In this case, the glucose monitoring system can compare the obtained glucose concentration, the first glucose fluctuation range and the second glucose fluctuation range with the algorithm of glucose concentration and fluctuation type configured in the processing module To determine the corresponding fluctuation 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 exercise, and normal fluctuations before exercise are high. In this case, the glucose monitoring system can determine whether the exercise moment of the subject to be tested belongs to rising, falling, first rising and then falling, first falling and then rising, fluctuation before normal exercise and not high before fluctuation and normal exercise 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 in the present invention, optionally, the guidance information or suggestions related to exercise behavior include at least one of suggestions for exercise intensity, suggestions for exercise time, and suggestions for exercise methods.

In this case, the glucose monitoring system can provide at least one of recommendations for exercise intensity, exercise time, and exercise methods for the subject or the doctor according to the determined fluctuation type. The quality of life of the subject to be tested can be improved, and the time spent for the subject to be tested to seek a doctor and the doctor to provide evaluation suggestions can also be reduced.

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 the reason for the type of fluctuation and the instructional information or suggestion related to the exercise 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 exercise moments, and can compare the glucose data of multiple days or exercise moments 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 records exercise 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 first glucose fluctuation range is not less than the first preset value; the second classification condition is that the second glucose fluctuation range is not less than the first preset value Two preset values; the third classification condition is that the first peak value of the glucose data appears within a preset time after the exercise time; the fourth classification condition is the glucose concentration corresponding to the exercise detection point 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 measured at a certain exercise time according to the classified conditions in the processing module, and provide corresponding guidance information or suggestions in a timely manner.

According to the glucose monitoring system provided in the present invention, optionally, the second preset value is equal to 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 measured at a certain exercise time according to the classified conditions in the processing module, and provide corresponding guidance information or suggestions in a timely manner.

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 1.5 to 2.0 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 10 minutes to 1 hour. In this case, the glucose monitoring system can accurately monitor the glucose concentration at the time of exercise.

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, a glucose monitoring system for glucose concentration before and after exercise can be provided, which is a glucose monitoring system for detecting the glucose concentration of the object to be measured 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 exercise behavior.

Description of drawings

1 is a schematic diagram of an application scenario of a glucose monitoring system for glucose concentration before and after exercise 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 exercise according to an embodiment of the present invention;

Fig. 3a is a glucose concentration graph with the fluctuation type of the glucose monitoring system for the glucose concentration before and after exercise according to an embodiment of the present invention being an increase;

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 exercise 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 exercise according to the embodiment of the present invention is rising first and then falling;

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

Fig. 3e-1 is a graph of glucose concentration before and after exercise in which the fluctuation type of the glucose monitoring system for the glucose concentration before and after exercise according to the embodiment of the present invention is a small fluctuation and not high before exercise;

Fig. 3e-2 is a graph of glucose concentration before and after exercise in which the fluctuation type of the glucose monitoring system for the glucose concentration before and after exercise according to the embodiment of the present invention is a small fluctuation;

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 exercise according to the embodiment of the present invention;

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

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

Fig. 4e is a schematic diagram of the glucose concentration recording interface of the mobile terminal device of the glucose monitoring system for the glucose concentration before and after exercise according to the 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 exercise 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 exercise 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 exercise. In some examples, the glucose monitoring system for glucose concentration before and after exercise 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 scene of a glucose monitoring system for glucose concentration before and after exercise according to an embodiment of the present invention, and Fig. 2 is a structural block diagram of a glucose monitoring system for glucose concentration before and after exercise 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 exercise, which is a glucose monitoring system 1 for detecting the glucose concentration of the subject 2 and giving guidance information, which may include 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 before exercise and after exercise over time; The communication module 12 can be configured to receive the glucose data and send it to the processing module 134; the processing module 134 can be 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 before exercise and after exercise, and Guidance information or suggestions related to motor behavior can 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 exercise in real time and generate data to send to the communication module 12, which is more convenient than manual collection of 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 exercise 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 motion detection point, if the motion time entered by the object to be measured 2 is not between the two adjacent detection points or not located in the corresponding For the midpoint of the detection time, the detection point closest to the motion time recorded by the object 2 to be measured is taken as the motion 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 diagrams showing the real-time monitoring interface of the mobile terminal device, the interface diagram of exercise analysis, and the interface diagram of guidance information of the glucose monitoring system for glucose concentration before and after exercise according to the embodiment of the present invention. Schematic diagram of interface for exercise recording and interface diagram for glucose concentration recording.

In some examples, the guidance information includes a reason for the type of fluctuation and guidance information or advice related to the athletic activity. 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 , and the recording module 132 may be used to record the exercise time when the subject 2 starts exercising. In this case, the glucose monitoring system 1 can determine the exercise time of the subject 2 to provide more accurate guidance information or advice for the subject 2 or the doctor according to the glucose dynamic curve.

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

In some examples, the logging module 132 can automatically identify the exercise time based on the 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 may also input at least one of the time, type, and amount of exercise.

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

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 exercise moments, and can compare the glucose data of multiple days or exercise moments 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 the exercise time information. In other words, the input module 132 can be the input device of the mobile terminal device 13. In this case, voice input, touch screen input or The exercise time information of the object 2 to be measured is entered by way 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 in the mobile terminal device 13, and the mobile terminal device 13 has a software program configured to input exercise time through the input module 132, and obtain fluctuations 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 movement time entered by the subject 2 to be measured is outside two adjacent detection points, the detection point closest to the movement time may be used as the movement 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 exercise may be the detection time corresponding to the motion detection point, and the time after exercise may be 3 hours to 5 hours after the time before exercise. 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 exercise is the detection time corresponding to the motion detection point, and the time after exercise is 1 hour, 2 hours, 3 hours, 4 hours, 5 hours, 6 hours, 7 hours, 8 hours wait. 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 may obtain the glucose concentration at the motion detection point, the first glucose fluctuation magnitude, and the second glucose fluctuation magnitude based on the glucose data, and based on the glucose concentration at the motion detection point, the first glucose fluctuation magnitude, and the second glucose Volatility Gets the volatility type.

In some examples, the first glucose fluctuation amplitude may be the difference between the maximum glucose concentration among the detection points between the time before exercise and the time after exercise and the glucose concentration at the detection point of exercise.

In some examples, the second magnitude of glucose fluctuation may be the difference between the glucose concentration at the exercise detection point and the minimum glucose concentration among the detection points between the time before exercise and the time after exercise.

In this case, the glucose monitoring system 1 can obtain the glucose concentration at the motion detection point of the subject 2, the first glucose fluctuation amplitude and the second glucose fluctuation amplitude and the glucose concentration and fluctuation type configured in the processing module 134. Algorithms are compared to determine the corresponding wave type.

Fig. 3a is the glucose concentration graph of the glucose monitoring system for the glucose concentration before and after exercise according to the embodiment of the present invention, and the fluctuation type is a rising glucose concentration curve; Fig. 3b is the glucose concentration before and after exercise according to the embodiment of the present invention 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 exercise 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 exercise according to the embodiment of the present invention. The fluctuation type of the glucose monitoring system of the glucose concentration before and after exercise is small and the glucose concentration curve graph is not high before exercise; Fig. 3e-2 is the fluctuation of the glucose monitoring system for the glucose concentration before and after exercise involved in the embodiment of the present invention The type is a curve graph of high glucose concentration before exercise with small fluctuations.

In some other examples, the processing module 134 may also be based on the glucose concentration at the motion detection point, the first glucose fluctuation magnitude and the second glucose fluctuation magnitude, and may be based on the glucose concentration at the motion detection point, the first glucose fluctuation magnitude and the second glucose Volatility Amplitude obtains the volatility type in other mathematical ways or algorithms. In this case, the glucose monitoring system 1 can obtain the glucose concentration at the motion detection point of the subject 2, the first glucose fluctuation amplitude and the second glucose fluctuation amplitude and the glucose concentration and fluctuation type configured in the processing module 134. Algorithms are compared to determine the corresponding wave type.

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

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 exercise information, fluctuation type and number of days, the glucose monitoring system 1 can provide guidance information or suggestions to adapt to the glucose concentration of the subject 2 to help him improve the 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 glucose concentration before and after exercise according to the embodiment of the present invention; Schematic interface diagram of the exercise 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 concentration before and after exercise 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 .

As shown in Figs. 4a, 4b and 4c, in some examples, the guidance suggestion may include guidance suggestions for different types of exercise with the same exercise intensity and punch times. For example, guidance suggestions can include guidance suggestions corresponding to walking, brisk walking, housework, and ball games. Specifically, the first check-in is low-intensity walking. Energy 2.625 kcal, walking for 12 minutes is equivalent to walking 1,000 steps of energy; walking helps the absorption of food, promotes gastrointestinal motility, and makes defecation normal; the second check-in is low-intensity walking, and the corresponding guidance information or suggestions are : Low-intensity, 1 kg of body weight consumes 2.625 kcal of energy for 1 hour, walking for 12 minutes is equivalent to walking 1000 steps of energy; exercising 3-5 times a week, 0.5-1 hour each time, can increase insulin sensitivity by 30%; A punch card is a moderate-intensity brisk walking exercise, and the corresponding guidance information or suggestions are: moderate intensity, 1 kg of body weight consumes 4.2 kcal for 1 hour, 8 minutes of brisk walking is equivalent to walking 1000 steps of energy, and the knee and ankle joints of brisk walking If the pressure is high, you can use knee pads and ankle pads to protect it; the second check-in is moderate-intensity brisk walking, and the corresponding guidance information or suggestions are: medium-intensity, 1 kg of body weight consumes 4.2 kcal for 1 hour, and brisk walking for 8 minutes It is equivalent to the energy of walking 1,000 steps. When walking fast, pay attention to the walking posture, raise your chest, raise your hips, and tighten your lower abdomen. Don't bend your back.

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 reason for the fluctuation type. Specifically, if the fluctuation type is elevated, there may be various reasons, for example: 1. Do you exercise after meals? Generally, the calories of a meal are far greater than the calories consumed by exercise, and the overall performance of postprandial exercise glucose may still increase, but the increase rate is small; 2. People often have hypoglycemic factors and glycemic factors at the same time. If the strength of the factor is strong, the glucose will decrease, and vice versa, it will rise. If the glucose rises after exercise, it is generally because the exercise intensity, time, and energy consumption are small, which cannot match the factors that increase blood sugar such as food; 3. If the glucose rises after a meal Moderate exercise, the effect of exercise is to consume energy and reduce the rate of food sugar rise. If you eat less and exercise more, your glucose will decrease, and if you eat more and exercise less, your glucose will increase. If the fluctuation type is lower, there may be many reasons, for example: 1. Exercise is a good weight for lowering blood sugar. Generally, exercise works faster than hypoglycemic drugs. When glucose is relatively high or rising, exercise a little Glucose will often decrease; 2. When exercising, the glycogen in the muscles is consumed, the glucose in the blood is absorbed by the muscles, and the glucose will decrease rapidly and significantly; 3. The hypoglycemic effect of exercise can last up to 8 hours, even if due to the There will be many small fluctuations in glucose due to the action of various weights of raising and lowering sugar all the time, but the overall glucose tends to decrease. 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 interface of the mobile terminal equipment of the glucose monitoring system for the glucose concentration before and after exercise according to the embodiment of the present invention; Schematic diagram of the glucose concentration recording interface of the mobile terminal device of the glucose monitoring system.

In some examples, the guidance information or suggestions related to exercise behavior may also include at least one of suggestions for exercise intensity, exercise time, and exercise methods.

In this case, the glucose monitoring system 1 can provide the subject 2 or the doctor with at least one of suggestions for exercise intensity, suggestions for exercise time, and suggestions for exercise methods according to the determined fluctuation type, by such as The above suggestions can improve the quality of life of the subject 2, and can also reduce the time spent by the subject 2 seeking a doctor and providing evaluation suggestions.

In some examples, guidance advice may look like (without limitation):

Daily exercise: walking; guidance information or suggestions: low-intensity, 1 kg body weight consumes 2.625 kcal for 1 hour, and walking for 12 minutes is equivalent to walking 1000 steps; if you walk less than 4000 steps a day, your physical activity is relatively low.

Daily exercise: brisk walking; guidance information or suggestions: moderate intensity, 1 kg of body weight consumes 4.2 kcal of energy for 1 hour, 8 minutes of brisk walking is equivalent to walking 1000 steps of energy; those with better body shape can choose to walk at a medium speed, 100-120 steps per minute .

Daily exercise: running; guidance information or suggestions: high-intensity, 1 kg of body weight consumes 8.4 kcal of energy for 1 hour, running for 4 minutes is equivalent to walking 1000 steps of energy; It is more suitable if the legs are not sore and limp.

Housework activities: cooking; guidance information or suggestions: low-intensity, 1 kg body weight consumes 2.625 kcal for 1 hour, cooking for 12 minutes is equivalent to walking 1000 steps; develop cooking habits, you can enjoy the process of cooking.

Housework activities: house cleaning; guidance information or suggestions: moderate intensity, 1 kg of body weight consumes 3.675 kcal for 1 hour, and cleaning the house for 9 minutes is equivalent to walking 1000 steps of energy; although the activity of cleaning the house is not strong, but often repeated, it is harmful to the muscles Also good exercise.

Fitness exercise: yoga; guidance information or suggestions: low-intensity, 1 kg body weight consumes 2.625 kcal for 1 hour, 12 minutes of yoga is equivalent to walking 1000 steps of energy; it is best to practice yoga on an empty stomach, not with a full meal.

Fitness exercise: aerobics; guidance information or suggestions: moderate intensity, 1 kg of body weight consumes 3.675 kcal in 1 hour, 9 minutes of aerobics is equivalent to walking 1000 steps of energy; aerobics is both entertainment and exercise.

Ball sports: table tennis; guidance information or suggestions: moderate intensity, 1 kg of body weight consumes 4.2 kcal of energy in 1 hour, playing table tennis for 8 minutes is equivalent to walking 1000 steps of energy; table tennis can exercise people's reaction speed.

Ball games: basketball; guidance information or suggestions: high-intensity, 1 kg of body weight consumes 6.3 kcal of energy for 1 hour, playing basketball for 5 minutes is equivalent to walking 1000 steps of energy; playing basketball regularly can cultivate people's sense of teamwork.

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 first glucose fluctuation range is not less than the first preset value; the second classification condition is that the second 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 appears in Within a preset time after the exercise time; the fourth classification condition is that the glucose concentration corresponding to the exercise 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 exercise 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 exercise 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 exercise is large.

In some examples, the second preset value can be 1.5 to 2.0mmol/L, for example, the second preset value can be 1.5mmol/L, 1.6mmol/L, 1.7mmol/L, 1.8mmol/L, 1.9mmol /L, or 2.0mmol/L, etc., preferably, the second preset value can be 1.7mmol/L or 1.8mmol/L. In this case, it can be judged whether the glucose fluctuation before and after exercise 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 tell if the pre-exercise glucose was 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 10 minutes to 1 hour. For example, the preset time can be 0.5h, 0.6h, 0.7h, 0.8h, 0.9h, 1.0h, preferably, the preset time can be 0.8h, 0.9h, 1.0h. 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 time of exercise.

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 the time of exercise. 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. 3 a , the analysis period of the glucose concentration curve whose fluctuation type is rising is the time point of exercise—4 hours after exercise. The fluctuation type is the rising glucose concentration curve. The fluctuation characteristics of the curve are 1. The peak rises as a whole (some can fall) 2. The peak peak value is not lower than the glucose value (indeterminate value) + the first preset value when starting exercise; 3. The lowest value of the trough is not lower than the glucose value (unfixed value) when starting exercise-the first preset value. The fluctuation type is the formula algorithm of the rising glucose concentration curve: 1. The highest value of the peak-glucose value during exercise (unfixed value)>=the first preset value; 2. Glucose value during exercise (unfixed value)-trough The lowest value<the second preset value.

In some examples, as shown in Fig. 3b: the analysis period of the glucose concentration curve whose fluctuation type is decreasing is the exercise time point—4 hours after exercise. The fluctuation type is a reduced glucose concentration curve. The fluctuation characteristics of the curve are 1. The peak decreases as a whole (some can rise); 2. The highest peak value is lower than the glucose value (unfixed value) + the first preset value when starting exercise; 3. The trough The lowest value is lower than the glucose value (unfixed value)-the first preset value when starting exercise. The fluctuation type is the formula algorithm of the reduced glucose concentration curve: 1. Peak peak value-glucose value during exercise (indeterminate value)<first preset value; 2. Glucose value during exercise (indeterminate value)-lowest trough value> = second preset value.

In some examples, as shown in FIG. 3 c : the analysis period of the glucose concentration curve whose fluctuation type is rising first and then falling is the exercise time point—4 hours after exercise. The fluctuation type of the glucose concentration curve is that the fluctuation type is rising first and then falling. The fluctuation characteristics of the glucose concentration curve are 1. The fluctuation mainly rises first, and then the fluctuation mainly falls; 2. The peak peak value is not lower than the glucose value when starting exercise (indefinite )+the first preset value; 3. The lowest value of the trough is not higher than the glucose value (unfixed value)-the first preset value when starting exercise; within 0.5 hours. The formula algorithm of the glucose concentration curve whose fluctuation type is rising first and then falling is 1. The highest peak value-glucose value during exercise (unfixed value)>=the first preset value; 2. Glucose value during exercise (unfixed value)- The lowest value of the trough>=the second preset value.

In some examples, as shown in FIG. 3d , the analysis period of the glucose concentration curve whose fluctuation type is a drop first and then rise is the time point of exercise—4 hours after exercise. The fluctuation type of the glucose concentration curve is that it drops first and then rises. The fluctuation characteristics of the glucose concentration curve are 1. First, there is a fluctuation that mainly falls, and then a fluctuation that mainly rises; 2. The peak peak value is not lower than the glucose value when starting exercise (indefinite ) + the first preset value; 3. The trough is not higher than the glucose value (unfixed value) at the start of exercise - the first preset value; 4. The first decline-based peak start time is 0.5 hours away from the exercise moment Inside. The formula algorithm of the glucose concentration curve whose fluctuation type is first falling and then rising is 1. Glucose value (indeterminate value) during exercise-the lowest value of the valley>=the first preset value; 2. The highest value of the peak-glucose value during exercise (not fixed) fixed value)>=second preset value.

In some examples, as shown in Fig. 3e-1: the fluctuation type is small fluctuations, and the analysis period of the glucose concentration curve before exercise is the time point of exercise—4 hours after exercise. The fluctuation type is small fluctuation. The fluctuation characteristics of the glucose concentration curve that is not high before exercise are 1. The peak part rises and part falls alternately; ); 3. The trough is higher than (glucose value at the start of exercise-the first preset value) (indeterminate value); 4. The glucose is lower than the third preset value at the start of exercise. The fluctuation type is a small fluctuation. The formula algorithm of the glucose concentration curve that is not high before exercise is 1. The highest value of the peak-glucose value during exercise (indeterminate value)<the first preset value; 2. Glucose value during exercise (indeterminate) value)-the lowest value of the trough<the second preset value; 3, the pre-exercise glucose<the third preset value.

In some examples, as shown in Fig. 3e-2: the fluctuation type is small fluctuations, and the analysis period of the glucose concentration curve before exercise is higher than the exercise time point—4 hours after exercise. The fluctuation type is small fluctuation. The fluctuation characteristics of the high glucose concentration curve before exercise are 1. The peak part rises and part falls alternately; 2. The peak is lower than (glucose value during exercise + first preset value) (unfixed value) 3. The trough is higher than (glucose value during exercise-the first preset value) (indeterminate value); 4. The glucose is not lower than the third preset value when starting to exercise. The type of fluctuation is small. The formula algorithm of the high glucose concentration curve before exercise is 1. The highest value of the peak-glucose value during exercise (indeterminate value)<the first preset value; 2. Glucose value during exercise (indeterminate) value)-bottom minimum value<second preset value; 3, pre-exercise glucose>=third preset value.

In addition, other types: the analysis period is the time point of exercise—4 hours after exercise, if the judgment logic or fluctuation characteristics do not meet the above five types, then the evaluation result of the fluctuation trend is that the glucose fluctuates irregularly after exercise (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 the glucose concentration before and after exercise is a glucose monitoring system for detecting the glucose concentration of the object to be measured and providing 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 time-varying glucose concentration between before and after exercise of the subject to be tested; the communication module is configured to receive the The glucose data is sent to the processing module; the processing module is configured to determine the fluctuation type of glucose concentration based on the glucose data, the fluctuation type reflects the change trend of the glucose concentration between before exercise and after exercise, And generate guidance information or suggestions related to sports behavior according to the fluctuation type. 2. The glucose monitoring system according to claim 1, characterized in that: The glucose monitoring system also includes a recording module, which is used to record the exercise time when the subject to be measured starts to exercise. 3. The glucose monitoring system according to claim 2, characterized in that: The glucose data includes the glucose concentration of multiple detection points and the detection time matching the multiple detection points, if the exercise time entered by the subject to be tested is located at the midpoint of the detection time corresponding to two adjacent detection points , then take any one of the two adjacent detection points as a motion detection point, if the motion time entered by the object to be measured is not between two adjacent detection points or not located in the corresponding The midpoint of the detection time, the detection point closest to the motion time recorded by the object to be measured is taken as the motion detection point. 4. The glucose monitoring system according to claim 3, characterized in that: The pre-exercise time is the detection time corresponding to the motion detection point, and the post-exercise time is 3 hours to 5 hours after the pre-exercise time. 5. The glucose monitoring system according to claim 3, characterized in that: The processing module obtains the glucose concentration, the first glucose fluctuation amplitude and the second glucose fluctuation amplitude of the motion detection point based on the glucose data, and based on the glucose concentration of the motion detection point, the first glucose fluctuation amplitude and the The second glucose fluctuation magnitude obtains the fluctuation type, wherein the first glucose fluctuation magnitude is the maximum glucose concentration and the The difference between the glucose concentration at the exercise detection point, the second glucose fluctuation range is the smallest among the glucose concentration at the exercise detection point and the detection point between the time before the exercise and the time after the exercise The difference between the glucose concentrations. 6. The glucose monitoring system according to claim 1, characterized in that: The fluctuation types include rising, falling, first rising and then falling, first falling and then rising, low fluctuation before normal movement, and high fluctuation before normal movement. 7. The glucose monitoring system according to claim 5, characterized in that: The guidance information or suggestions related to exercise behavior include at least one of suggestions for exercise intensity, suggestions for exercise time, and suggestions for exercise methods. 8. The glucose monitoring system according to claim 1, characterized in that: The processing module performs noise reduction processing on the glucose data. 9. The glucose monitoring system according to claim 1, characterized in that: The processing module obtains a glucose concentration curve based on the glucose data and performs smoothing processing on the glucose concentration curve. 10. The glucose monitoring system according to claim 2, characterized in that: The glucose monitoring system further includes a display module configured to display at least one of guidance information, a glucose concentration curve, and a fluctuation type, the guidance information including the cause of the fluctuation type and information related to exercise behavior. Guidance information or advice. 11. The glucose monitoring system according to claim 10, characterized in that: The glucose monitoring system also includes a storage module configured to store the glucose data. 12. The glucose monitoring system according to claim 1, characterized in that: 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. 13. The glucose monitoring system according to claim 11, characterized in that: The input module, the processing module and the display module are integrated in the mobile terminal device, the mobile terminal device has a software program, and the software program is configured to input exercise time through the input module, and obtain fluctuation types and guidance through the processing module information, and display guidance information through the display module. 14. The glucose monitoring system according to claim 5, characterized in that: The processing module classifies the fluctuation type of the glucose concentration based on classification conditions related to the glucose concentration, the classification conditions include a first classification condition, a second classification condition, a third classification condition, and a fourth classification condition, The first classification condition is that the first glucose fluctuation range is not less than a first preset value; The second classification condition is that the second glucose fluctuation range 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 exercise time; The fourth classification condition is that the glucose concentration corresponding to the motion detection point is not less than a third preset value. 15. The glucose monitoring system of claim 14, wherein: The second preset value is equal to the first preset value, and the third preset value is greater than the second preset value. 16. The glucose monitoring system of claim 14, wherein: The first preset value is 1.5 to 2.0 mmol/L, the second preset value is 1.5 to 2.0 mmol/L, and the third preset value is not less than 7.0 mmol/L. 17. The glucose monitoring system of claim 14, wherein: The preset time is 10 minutes to 1 hour. 18. The glucose monitoring system of claim 14, wherein: 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. 19. The glucose monitoring system of claim 1, wherein: The communication module transmits the glucose data to the processing module in a wireless or wired manner. 20. The glucose monitoring system of claim 1, wherein: The wireless mode includes at least one of Bluetooth, Wi-Fi, 3G/4G/5G, NFC, UWB and Zig-Bee.

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