Glucose monitoring system for pre- and post-sleep glucose concentration levels

Abstract

The application provides a glucose monitoring system for glucose concentration before and after sleep, which is used for detecting glucose concentration of a to-be-detected object and giving guidance information, and comprises a sensing module, a communication module and a processing module, the sensing module is configured to detect glucose data of the to-be-detected object, the glucose data comprises time-varying glucose concentration between before sleep and after sleep of the to-be-detected object; 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 reflects a change trend of the glucose concentration between before sleep and after sleep, and guidance information or suggestions related to sleep behavior are generated according to the fluctuation type.

Description

TECHNICAL FIELD

[0001] The present application relates to a glucose monitoring system for glucose concentration before and after sleep, and is a glucose monitoring system for detecting glucose concentration of a subject and giving guidance information. BACKGROUND

[0002] 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, it is necessary to strictly control glucose, and therefore, a dynamic glucose monitoring system (CGMS) for dynamically reflecting glucose fluctuations is widely used. At present, there are many dynamic glucose monitoring systems that have been certified by the US FDA and / or CE to allow use in Europe and the United States, most of which are minimally invasive, using a subcutaneous probe to monitor interstitial fluid glucose, and a few of which are monitored on the skin surface. The interstitial fluid glucose concentration measured by CGMS has good correlation with venous glucose concentration and fingertip glucose concentration, and can be used as an auxiliary glucose monitoring means.

[0003] At present, the dynamic glucose monitoring system generally has a high and low glucose warning mechanism, so that it can issue a warning signal when the glucose is too low or too high, and at the same time, the clinician can design a more individualized treatment plan through the high and low glucose warning mechanism.

[0004] However, the prior art does not provide sleep reason analysis and guidance information or suggestions for users based on the CGMS dynamic curve, and only gives some simple suggestions (such as whether to find a doctor, etc. Education and guidance suggestions) according to the high and low glucose in the curve, and the doctor or diabetes educator needs to spend 30-60 minutes to interpret the dynamic curve at the time of sleep in order to output risk level assessment and auxiliary decision suggestions. SUMMARY

[0005] The present application is completed in view of the above-mentioned prior art, and its purpose is to provide a glucose monitoring system for glucose concentration before and after sleep, which is a glucose monitoring system for detecting glucose concentration of a subject and giving guidance information, which can analyze fluctuation characteristics according to glucose dynamic curve and help the subject and the doctor to quickly and accurately read the report and provide suggestions or guidance information related to sleep behavior.

[0006] To this end, the application discloses a glucose monitoring system for glucose concentration before and after sleep, which is used for detecting glucose concentration of a to-be-tested object and giving guidance information, and is characterized in that the glucose monitoring system comprises a sensing module, a communication module and a processing module, the sensing module is configured to detect glucose data of the to-be-tested object, the glucose data comprises time-varying glucose concentration between before sleep and after sleep of the to-be-tested object; 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 reflects a change trend of the glucose concentration between before sleep and after sleep, and generates guidance information or suggestions related to sleep behavior according to the fluctuation type.

[0007] In this case, the sensing module can continuously monitor the time-varying glucose concentration between before sleep and after sleep of the to-be-tested object in real time and generate data to send to the communication module, which is more convenient and rapid than manual collection of glucose concentration; in addition, the communication module can send real-time glucose data of the to-be-tested object to the processing module to generate real-time and continuous dynamic glucose data, the sampling period is short, and the data accuracy is improved; in addition, the processing module can receive and determine the fluctuation type of the glucose concentration of the to-be-tested object according to the received glucose data, and then generate guidance information or suggestions related to sleep behavior according to the fluctuation type to provide the to-be-tested object or the doctor in time, and reduce the time spent on traditional manual collection of glucose concentration and seeking of doctor's suggestions.

[0008] According to the glucose monitoring system provided by the application, the glucose monitoring system can optionally further comprise an input module, and the input module is used for inputting a sleep time when the to-be-tested object starts to sleep. In this case, the glucose monitoring system can determine the sleep time of the to-be-tested object so as to provide more accurate guidance information or suggestions for the to-be-tested object or the doctor according to the glucose dynamic curve.

[0009] According to the glucose monitoring system provided by the application, the glucose data comprises glucose concentrations of multiple detection points and detection times corresponding to the multiple detection points, if the sleep time entered by the subject is located at the midpoint of detection times corresponding to two adjacent detection points, any one of the two adjacent detection points is taken as a sleep detection point, if the sleep time entered by the subject is not located between two adjacent detection points or at the midpoint of detection times corresponding to the two adjacent detection points, the detection point closest to the sleep time entered by the subject is taken as a sleep detection point, if the sleep-wake time entered by the subject is located at the midpoint of detection times corresponding to two adjacent detection points, any one of the two adjacent detection points is taken as a sleep-wake detection point, if the sleep-wake time entered by the subject is not located between two adjacent detection points or at the midpoint of detection times corresponding to the two adjacent detection points, the detection point closest to the sleep-wake time entered by the subject is taken as a sleep-wake detection point.

[0010] In this case, the glucose monitoring system can more accurately master the glucose data of the subject to determine the corresponding fluctuation characteristics.

[0011] According to the glucose monitoring system provided by the application, the time before sleep is the detection time corresponding to the sleep detection point, and the time after sleep is the detection time corresponding to the sleep-wake detection point. In this case, the glucose monitoring system can determine the fluctuation type of the subject according to the change of the glucose concentration of the subject to provide corresponding guidance information or suggestions for the subject or doctors.

[0012] According to the glucose monitoring system provided by the application, the processing module obtains the glucose concentration of the sleep detection point, the minimum glucose concentration, the maximum glucose fluctuation amplitude and the sleep glucose fluctuation amplitude based on the glucose data, and obtains the fluctuation type based on the glucose concentration of the sleep detection point, the maximum glucose fluctuation amplitude and the sleep glucose fluctuation amplitude, wherein the minimum glucose concentration is the lowest glucose concentration among the detection points between the time before sleep and the time after sleep, the maximum glucose fluctuation amplitude is the difference between the maximum glucose concentration and the minimum glucose concentration among the detection points between the time before sleep and the time after sleep, and the sleep glucose fluctuation amplitude is the difference between the glucose concentration of the sleep detection point and the minimum glucose concentration.

[0013] In this case, the glucose monitoring system can compare the glucose concentration and the fluctuation type algorithm configured in the processing module with the glucose concentration of the sleep detection point of the subject obtained by the glucose monitoring system, the minimum glucose concentration, the maximum glucose fluctuation amplitude and the sleep glucose fluctuation amplitude to determine the corresponding fluctuation type.

[0014] According to the glucose monitoring system provided by the present application, optionally, the fluctuation type includes fasting glucose rise, sustained high, dip and rise, large fluctuation, normal fluctuation, large fluctuation and low glucose, and normal fluctuation but low glucose. In this case, the glucose monitoring system can determine which one of the fluctuation types of fasting glucose rise, sustained high, dip and rise, large fluctuation, normal fluctuation, large fluctuation and low glucose, and normal fluctuation but low glucose the subject belongs to according to the acquired glucose data, and provide corresponding guidance information or suggestions for the subject or the doctor according to the determined fluctuation type.

[0015] According to the glucose monitoring system provided by the present application, optionally, the guidance information or suggestions related to sleep behavior include at least one of suggestions for sleep time, suggestions for sleep before sleep, suggestions for exercise before sleep, suggestions for insulin intake time before and after sleep, suggestions for insulin intake type before and after sleep, and suggestions for insulin intake amount before and after sleep. In this case, the glucose monitoring system can provide at least one of suggestions for sleep time, suggestions for sleep before sleep, suggestions for exercise before sleep, suggestions for insulin intake time before and after sleep, suggestions for insulin intake type before and after sleep, and suggestions for insulin intake amount before and after sleep for the subject according to the determined fluctuation type, which can improve the quality of life of the subject and reduce the time spent by the subject in seeking the doctor and the doctor in providing evaluation suggestions.

[0016] According to the glucose monitoring system provided by the present application, optionally, the processing module performs noise reduction processing on the glucose data. In this case, the glucose monitoring system can eliminate the variables that may exist in the glucose data and affect the determination of the fluctuation type to obtain a more accurate fluctuation type.

[0017] According to the glucose monitoring system provided by the present application, 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 more smooth glucose dynamic curve for the subject or the doctor, which can improve the user experience.

[0018] According to the glucose monitoring system provided by the application, optionally, the glucose monitoring system further comprises a display module configured to display at least one of guidance information, a glucose concentration curve and a fluctuation type, wherein the guidance information comprises a reason for generating the fluctuation type and guidance information or suggestions related to sleep behavior. In this case, the subject or the doctor can observe the glucose data of the subject in real time and can obtain the corresponding fluctuation type and guidance information or suggestions without the analysis and evaluation of the doctor.

[0019] According to the glucose monitoring system provided by the application, optionally, the glucose monitoring system further comprises 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 sleep time and can compare the glucose data of multiple days or multiple sleep time to provide more reference information for the subject or the doctor.

[0020] According to the glucose monitoring system provided by the application, optionally, the sensing module is used to obtain the glucose concentration in the interstitial fluid, and the sensing module obtains the glucose concentration at a preset frequency. In this case, the glucose monitoring system can measure the interstitial fluid glucose concentration which has good correlation with the venous glucose concentration and the finger glucose concentration, and can be used as an auxiliary glucose monitoring method to improve the measurement accuracy.

[0021] According to the glucose monitoring system provided by the application, 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 input the sleep time and the wake-up 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. In this case, the subject can monitor the glucose concentration of the subject in real time through the mobile terminal device and can obtain the corresponding guidance suggestions, thereby improving the quality of life.

[0022] According to the glucose monitoring system provided by the application, optionally, the processing module classifies the fluctuation type of the glucose concentration based on classification conditions related to the glucose concentration, wherein the classification conditions comprise a first classification condition, a second classification condition, a third classification condition and a fourth classification condition, the first classification condition is that the glucose concentration corresponding to the sleep detection point is not less than a first preset value, the second classification condition is that the minimum glucose concentration is not less than a second preset value, the third classification condition is that the maximum glucose fluctuation amplitude is not less than a third preset value, and the fourth classification condition is that the sleep glucose fluctuation amplitude is not less than a fourth preset value.

[0023] In this case, the glucose monitoring system can more quickly obtain the fluctuation type corresponding to the glucose concentration of the subject at a certain sleep time according to the classified conditions in the processing module and provide corresponding guidance information or suggestions in a timely manner.

[0024] According to the glucose monitoring system provided by the application, optionally, the first preset value is greater than the second preset value, the second preset value is greater than the third preset value, and the third preset value is equal to the fourth preset value. In this case, the glucose monitoring system can more quickly obtain the fluctuation type corresponding to the glucose concentration of the subject at a certain sleep time according to the classified conditions in the processing module and provide corresponding guidance information or suggestions in a timely manner.

[0025] According to the glucose monitoring system provided by the application, optionally, the first preset value is not less than 7.0 mmol / L, and the second preset value is 3.6-4.4 mmol / L. In this case, the glucose concentration curve measured by the glucose monitoring system can be more accurately classified according to the fluctuation type.

[0026] According to the glucose monitoring system provided by the application, optionally, the third preset value is 3.0-3.8 mmol / L, and the fourth preset value is 3.0-3.8 mmol / L. In this case, the glucose monitoring system can accurately monitor the glucose concentration at the sleep time.

[0027] According to the glucose monitoring system provided by the application, optionally, the sensing module detects the glucose concentration of the interstitial fluid of the subject through a sensor assembly capable of reacting with glucose. In this case, the glucose monitoring system can obtain the required glucose data of the subject from the sensing module and can analyze and process the data, thereby providing corresponding guidance information to the subject or the doctor.

[0028] According to the glucose monitoring system provided by the application, 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 and can form a good user experience, and transmitting the glucose data to the processing module in a wired manner can improve the completeness and stability of the data.

[0029] Optionally, the wireless mode comprises at least one of Bluetooth, Wi-Fi, 3G / 4G / 5G, NFC, UWB and Zig-Bee. In this case, the glucose data is transmitted to the processing module through the wireless mode, which can be more convenient for the subject to be tested and can form a good user experience, and the glucose concentration of the subject to be tested can be remotely observed, which is convenient for doctors to provide professional guidance information or suggestions and medical care.

[0030] According to the present application, a glucose monitoring system for the glucose concentration before and after sleep can be provided, 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 the fluctuation characteristics according to the glucose dynamic curve and help the subject to be tested and the doctor to quickly and accurately read the report and provide guidance information or suggestions or guidance information related to sleep behavior. BRIEF DESCRIPTION OF DRAWINGS

[0031] Figure 1 is a schematic diagram of the application scenario of the glucose monitoring system for the glucose concentration before and after sleep involved in the embodiment of the present application;

[0032] Figure 2 is a structural block diagram of the glucose monitoring system for the glucose concentration before and after sleep involved in the embodiment of the present application;

[0033] Figure 3a is a glucose concentration curve diagram of the glucose monitoring system for the glucose concentration before and after sleep involved in the embodiment of the present application, the fluctuation type of which is fasting blood glucose rise;

[0034] Figure 3b is a glucose concentration curve diagram of the glucose monitoring system for the glucose concentration before and after sleep involved in the embodiment of the present application, the fluctuation type of which is continuous high;

[0035] Figure 3c is a glucose concentration curve diagram of the glucose monitoring system for the glucose concentration before and after sleep involved in the embodiment of the present application, the fluctuation type of which is first decrease and then increase;

[0036] Figure 3d is a glucose concentration curve diagram of the glucose monitoring system for the glucose concentration before and after sleep involved in the embodiment of the present application, the fluctuation type of which is large fluctuation;

[0037] Figure 3e-1 is a glucose concentration curve diagram of the glucose monitoring system for the glucose concentration before and after sleep involved in the embodiment of the present application, the fluctuation type of which is normal fluctuation;

[0038] Figure 3e-2The glucose concentration monitoring system for glucose concentration before and after sleep, as described in the embodiments of the present invention, exhibits a glucose concentration curve with large fluctuations and low glucose levels.

[0039] Figure 3e-3 This is a glucose concentration curve of a glucose monitoring system for glucose concentration before and after sleep, as described in the embodiments of the present invention, where the fluctuation type is normal but the glucose level is low.

[0040] Figure 4a This is a schematic diagram of the real-time monitoring interface of a mobile terminal device for a glucose monitoring system for glucose concentration before and after sleep, as described in an embodiment of the present invention.

[0041] Figure 4b This is a schematic diagram of the sleep recording interface of a mobile terminal device of a glucose monitoring system for glucose concentration before and after sleep, as described in an embodiment of the present invention.

[0042] Figure 4c This is a schematic diagram of the glucose recording interface of a mobile terminal device of a glucose monitoring system for glucose concentration before and after sleep, as described in an embodiment of the present invention.

[0043] Figure 4d This is a schematic diagram of the sleep analysis interface of a mobile terminal device of a glucose monitoring system for glucose concentration before and after sleep, as described in an embodiment of the present invention.

[0044] Figure 4e This is a schematic diagram of the sleep guidance information interface of a mobile terminal device of a glucose monitoring system for glucose concentration before and after sleep, as described in an embodiment of the present invention. Detailed Implementation

[0045] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0046] It should be noted that the terms "first", "second", "third", and "fourth" and the like in the description, claims, and drawings of the present application are intended to distinguish between similar objects, but are not intended to describe a particular sequential order. Moreover, the terms "include", and "have", and any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product, or device that includes a list of steps or units is not limited to the listed steps or units, but can optionally further include additional steps or units not listed, or can optionally further include other steps or units inherent to such process, method, product, or device. In the following description, the same reference numerals are assigned to the same components, and repeated descriptions are omitted. In addition, the drawings are only schematic diagrams, and the proportions of the sizes between the components or the shapes of the components, etc. can be different from the actual ones.

[0047] The present application provides a glucose monitoring system for glucose concentration before and after sleep, which is used for detecting the glucose concentration of a test object and giving guidance information. The glucose monitoring system can analyze fluctuation characteristics according to a glucose dynamic curve, help the test object and the doctor to quickly and accurately read the report, and provide guidance information or suggestions related to sleep behavior. The following will be described in detail in combination with the drawings.

[0048] The present application discloses a glucose monitoring system for glucose concentration before and after sleep. In some examples, the glucose monitoring system for glucose concentration before and after sleep can also be referred to as a glucose concentration monitoring system or a glucose monitoring system.

[0049] Figure 1 is a schematic diagram of an application scenario of the glucose monitoring system for glucose concentration before and after sleep involved in the embodiment of the present application, Figure 2 is a structural block diagram of the glucose monitoring system for glucose concentration before and after sleep involved in the embodiment of the present application.

[0050] As Figure 1 , 2 shown, the present application discloses a glucose monitoring system 1 for glucose concentration before and after sleep, which is used for detecting the glucose concentration of a test object 2 and giving guidance information. The glucose monitoring system 1 can include a sensing module 11, a communication module 12, and a processing module 134. The sensing module 11 can be configured to detect glucose data of the test object 2, which can include the time-varying glucose concentration between before and after sleep of the test object 2. 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, which reflects the change trend of the glucose concentration between before and after sleep, and can generate guidance information or suggestions related to sleep behavior according to the fluctuation type.

[0051] In this case, the sensing module 11 can continuously monitor the glucose concentration of the subject 2 before and after sleep in real time and generate data for the communication module 12, which is more convenient and faster than manual collection of glucose concentration. In addition, the communication module 12 can transmit the real-time glucose data of the subject 2 to the processing module 134 to generate real-time and continuous dynamic glucose data, with a short sampling period and improved data accuracy. 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 sleep behavior and provide them to the subject 2 or a doctor in a timely manner, thereby reducing the time spent on traditional manual collection of glucose concentration and seeking advice from a doctor.

[0052] In some examples, the glucose data can include glucose concentrations of multiple detection points and detection times corresponding to the multiple detection points. If the sleep time entered by the subject 2 is located at the midpoint of the detection times corresponding to the adjacent two detection points, any one of the adjacent two detection points is taken as a sleep detection point. If the sleep time entered by the subject 2 is not between the adjacent two detection points or is not at the midpoint of the detection times corresponding to the adjacent two detection points, the detection point closest to the sleep time entered by the subject 2 is taken as a sleep detection point. If the sleep-wake time entered by the subject 2 is located at the midpoint of the detection times corresponding to the adjacent two detection points, any one of the adjacent two detection points is taken as a sleep-wake detection point. If the sleep-wake time entered by the subject 2 is not between the adjacent two detection points or is not at the midpoint of the detection times corresponding to the adjacent two detection points, the detection point closest to the sleep-wake time entered by the subject 2 is taken as a sleep-wake detection point.

[0053] In some examples, as shown in FIG. 1, the glucose monitoring system 1 can include a sensing module 11, in which case the glucose monitoring system 1 can collect glucose concentration information. Figure 2

[0054] In some examples, the sensing module 11 can be an implantable or semi-implantable glucose detection sensor. Preferably, the sensing module 11 can 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, and has the advantages of short collection period, large amount of sampling data, continuous sampling, etc. In some other examples, the sensing module 11 can also be a non-implantable sensor, in which case the sampled patient needs to collect blood regularly, and the data accuracy is high.

[0055] ​In some examples, the sensing module 11 can be used to obtain the glucose concentration in the interstitial fluid, in other words, the sensing module 11 can be a subcutaneously implanted sensor. In this case, since the glucose concentration in the interstitial fluid is equal to or strictly corresponds to the plasma glucose in a steady state, and the change rate of the glucose concentration of the blood is faster than that of the interstitial fluid in a short time after the intake of high-sugar food or the injection of glucose, the glucose concentration of the subject can be accurately reflected, that is, the glucose monitoring system 1 can measure the glucose concentration of the interstitial fluid, which has a good correlation with the venous glucose concentration and the finger glucose concentration, and can be used as an auxiliary glucose monitoring means to improve the measurement accuracy.

[0056] In some examples, the sensing module 11 can obtain the glucose concentration at a preset frequency (or a preset acquisition frequency). In this case, a plurality of glucose concentrations can be obtained, so that an approximately continuous glucose concentration curve can be formed.

[0057] In some examples, the sensing module 11 can be adjusted at a preset frequency, for example, when the glucose concentration of the subject 2 changes slightly, the sensing module 11 can obtain the glucose concentration at a lower preset frequency, and when the glucose concentration of the subject 2 changes greatly, the sensing module 11 can obtain the glucose concentration at a higher preset frequency. In this case, the preset frequency of the sensing module 11 can be adjusted according to the actual situation.

[0058] In some examples, the sensing module 11 can also be used to obtain the glucose data in other body fluids of the subject 2. For example, the glucose concentration in urine.

[0059] In other examples, the sensing module 11 can detect the glucose concentration of the interstitial fluid of the subject 2 through a sensor assembly capable of reacting with glucose. In this case, the glucose monitoring system 1 can obtain the required glucose data of the subject 2 from the sensing module 11 and can analyze and process it, and then provide the corresponding guidance information to the subject 2 or the doctor.

[0060] In some examples, the sensing module 11 can be composed of a bioactive substance and a microelectrode. In this case, the bioactive substance can react with glucose and form a chemical signal on the microelectrode to generate an electrical signal and data.

[0061] In some examples, the sensing module 11 can be arranged near the upper arm of the subject 2, so that the influence of the sensing module 11 on the daily life behavior of the subject 2 can be reduced.

[0062] In some examples, preferably, the communication module 12 can be a wireless communication device, and the communication method of the wireless communication device can be at least one of Bluetooth, Wi-Fi, 3G / 4G / 5G, NFC, UWB, and Zig-Bee. In other examples, the communication module 12 can be a wired communication device, in which case it can prevent interference such as radiation and noise, and improve the stability and effectiveness of data transmission.

[0063] In some examples, the sensing module 11 and the communication module 12 can be integrated into one unit and implanted into the subject 2 in either an implantable or semi-implantable manner. In this case, after detecting glucose data from the subject 2, the sensing module 11 can directly send it to the communication module 12, achieving real-time detection quickly and efficiently, reducing the inconvenience of the subject 2 needing to carry the communication module 12 at all times.

[0064] In some examples, the communication module 12 can transmit glucose data to the processing module 134 wirelessly or via a wired connection. In this case, transmitting glucose data wirelessly to the processing module 134 is more convenient for the test subject 2 and provides a better user experience, while transmitting glucose data via a wired connection improves data integrity and stability.

[0065] In some examples, preferably, the communication module 12 can wirelessly transmit glucose data to the processing module 134. In this case, the glucose monitoring system 1 can provide a better user experience for the subject 2 or other users.

[0066] In some examples, the wireless method may include at least one of Bluetooth, Wi-Fi, 3G / 4G / 5G, NFC, UWB, and Zig-Bee. In this case, transmitting glucose data wirelessly to the processing module 134 is more convenient for the test subject 2, provides a better user experience, and allows for remote monitoring of the glucose concentration of the test subject 2, facilitating doctors to provide professional guidance and medical care.

[0067] In some examples, the communication module 12 can transmit data via Bluetooth. In this case, the processing module 134 can acquire the monitoring data from the sensing module 11 within a limited range.

[0068] In some examples, such as Figure 2 As shown, the glucose monitoring system 1 may further include a display module 131, which can be configured to display at least one of guidance information, glucose concentration curves, and fluctuation types. The display module 131 can also be integrated into a mobile terminal device; in other words, the display module can be the display interface of the mobile terminal device.

[0069] For example, Figures 4a to 4e This document illustrates the real-time monitoring interface, sleep recording interface, glucose recording interface, sleep analysis interface, and sleep guidance information interface of a mobile terminal device for a glucose monitoring system for glucose concentration before and after sleep, as described in an embodiment of the present invention.

[0070] In some examples, the guidance information may include the causes of the fluctuation type and guidance or suggestions related to sleep behavior. In this case, the subject 2 or the doctor can observe the subject 2's glucose data in real time and obtain the corresponding fluctuation type and guidance suggestions without the need for analysis and evaluation by the doctor.

[0071] In some examples, such as Figure 2 As shown, the glucose monitoring system 1 may also include an input module 132, which can be used to input the sleep time at which the subject 2 begins to sleep. In this case, the glucose monitoring system 1 can determine the sleep time of the subject 2 in order to provide more accurate guidance or suggestions to the subject 2 or the doctor based on the glucose dynamic curve.

[0072] In some examples, preferably, the input module 132 can be integrated with the processing module 134. In this case, the sleep information input by the test object 2 can be received by the processing module 134 in real time and used for processing and analysis.

[0073] In some examples, the data entry module 132 can automatically identify sleep time based on glucose concentration. In this case, the number of steps required for the subject 2 can be reduced, thereby improving the convenience of the glucose monitoring system 1.

[0074] In some examples, the data entry module 132 can also record sleep wake-up time, sleep quality, pre-sleep diet records, pre-sleep exercise records, etc.

[0075] In some examples, the input module 132 can also input whether exercise was performed before or after sleep, the duration of exercise, or the type of exercise.

[0076] For example, such as Figure 4b As shown, the subject 2 can input its sleep-related information, such as sleep check-in time and sleep quality, into the mobile terminal device of the glucose monitoring system 1 through the input module.

[0077] In some examples, the glucose monitoring system 1 can further comprise a storage module 133 configured to store the glucose data. In this case, the glucose monitoring system 1 can store glucose data for more days or sleep time periods and compare glucose data for multiple days or multiple sleep time periods to provide more information for the subject 2 or the doctor to refer to.

[0078] In some examples, the storage module 133 can be provided in the sensing module 11. In this case, the glucose data obtained by the sensing module 11 can be temporarily stored in the storage module 133. In some examples, the storage module 133 can be provided in the processing module 134. In this case, the glucose data from the sensing module 11 can be collected and stored in the storage module 133 for a long time. In other words, the storage module 133 can comprise a first storage module (not shown) integrated in the sensing module 11 and a second storage module (not shown) integrated in the mobile terminal device 13, the first storage module can be used to temporarily store the glucose data and transmit the glucose data in the first storage module to the second storage module when the communication module 12 is working properly.

[0079] In some examples, the storage module 133 can overwrite the old glucose data with the new glucose data, the detection time of the new glucose data and the old glucose data can be more than 14 days apart. In this case, the storage space of the storage module 133 can be fully utilized.

[0080] In some examples, the processing module 134 is preferably located in the mobile terminal device 13 (described later). For example, a personal mobile phone, a notebook computer, a computer, a customized processor, etc., in this case, the subject 2 or the doctor or other observers can conveniently and quickly obtain the glucose data of the subject 2.

[0081] In some examples, the processing module 134 can also be a cloud processing device. In this case, the processing module 134 can simultaneously monitor the glucose concentration of each subject 2.

[0082] In some examples, the input device of the mobile terminal device 13 can be used to input the sleep time information, in other words, the input module 132 can be the input device of the mobile terminal device 13, in this case, the sleep time information of the subject 2 can be input in the form of voice input, touch screen input or keyboard input. In this case, the input information can be conveniently and quickly processed and analyzed by the processing module 134 and corresponding guidance information can be generated according to the glucose data and fed back to the subject 2 or the doctor.

[0083] In some examples, the storage module 133 can be integrated with the processing module 134 in the same mobile terminal device 13, as described above. In this case, the processing module 134 and the storage module 133 can coordinate to process the glucose data of the subject 2, generate various data types, and store multi-day data.

[0084] In some examples, the display module 131 can be integrated with the processing module 134 in the same mobile terminal device 13. In this case, the processing module 134 can display the glucose concentration data of the subject 2 in real time to the subject 2 or a doctor after processing the data, and can control the display module 131 to display corresponding guidance information or suggestions in a timely manner.

[0085] 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, which has a software program configured to input the sleep time through the input module 132, obtain the fluctuation type and the guidance information through the processing module 134, and display the guidance information through the display module 131. In this case, the subject 2 can monitor the glucose concentration of the subject 2 in real time through the mobile terminal device 13 and obtain corresponding guidance suggestions, thereby improving the quality of life.

[0086] In some examples, the input module 132, the processing module 134, and the display module 131 can not be integrated with the mobile terminal device 13, i.e., the input module 132, the processing module 134, and the display module 131 can be separately arranged. In this case, the functions of the input module 132, the processing module 134, and the display module 131 can be implemented at different locations, respectively.

[0087] In some examples, if the sleep time input by the subject 2 is not between two adjacent detection points, the detection point closest to the sleep time is taken as the sleep time detection point. In this case, the glucose monitoring system 1 can more accurately grasp the glucose data of the subject 2 to determine the corresponding fluctuation characteristics.

[0088] In some examples, the time before sleep can be the detection time corresponding to the sleep detection point, and the time after sleep can be 5 to 10 hours after the time before sleep. In this case, the glucose monitoring system 1 can determine the fluctuation type of the subject 2 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 a doctor.

[0089] In some examples, the time before sleep is the detection time corresponding to the sleep detection point, and the time after sleep is 5 hours, 6 hours, 7 hours, 8 hours, 9 hours, 10 hours, etc. after the time before sleep. In this case, the glucose monitoring system 1 can determine the fluctuation type of the glucose concentration of the subject 2 according to the change of the glucose concentration to provide corresponding guidance information or suggestions or information for the subject 2 or the doctor.

[0090] In some examples, the processing module 134 can obtain the glucose concentration, the maximum glucose fluctuation amplitude and the sleep glucose fluctuation amplitude of the sleep detection point based on the glucose data, and can obtain the fluctuation type based on the glucose concentration, the maximum glucose fluctuation amplitude and the sleep glucose fluctuation amplitude of the sleep detection point.

[0091] In some examples, the maximum sleep glucose fluctuation amplitude can be the difference between the maximum glucose concentration and the minimum glucose concentration among the detection points between the time before sleep and the time after sleep.

[0092] In some examples, the sleep glucose fluctuation amplitude can be the difference between the glucose concentration of the sleep detection point and the minimum glucose concentration among the detection points between the time before sleep and the time after sleep.

[0093] In this case, the glucose monitoring system 1 can determine the corresponding fluctuation type according to the glucose concentration, the maximum glucose fluctuation amplitude and the sleep glucose fluctuation amplitude of the subject 2 at the sleep detection point obtained and compared with the algorithm of glucose concentration and fluctuation type configured in the processing module 134.

[0094] Figure 3a is a glucose concentration curve chart of the fluctuation type of the glucose monitoring system for the glucose concentration before and after sleep involved in the embodiment of the present application, which is a fasting blood glucose rise; Figure 3b is a glucose concentration curve chart of the fluctuation type of the glucose monitoring system for the glucose concentration before and after sleep involved in the embodiment of the present application, which is a continuously high glucose concentration; Figure 3c is a glucose concentration curve chart of the fluctuation type of the glucose monitoring system for the glucose concentration before and after sleep involved in the embodiment of the present application, which is a glucose concentration curve chart of a first decrease and then an increase; Figure 3d is a glucose concentration curve chart of the fluctuation type of the glucose monitoring system for the glucose concentration before and after sleep involved in the embodiment of the present application, which is a large fluctuation glucose concentration curve chart; Figure 3e-1 is a glucose concentration curve chart of the fluctuation type of the glucose monitoring system for the glucose concentration before and after sleep involved in the embodiment of the present application, which is a normal fluctuation glucose concentration curve chart; Figure 3e-2 is a glucose concentration curve chart of the fluctuation type of the glucose monitoring system for the glucose concentration before and after sleep involved in the embodiment of the present application, which is a large fluctuation and low glucose concentration curve chart.Figure 3e-3 The fluctuation type of the glucose monitoring system for the glucose concentration before and after sleep according to the embodiments of the present application is a glucose concentration graph with normal fluctuation but low glucose.

[0095] In other examples, the processing module 134 can also obtain the glucose concentration, the lowest glucose concentration, the maximum glucose fluctuation amplitude and the sleep glucose fluctuation amplitude of the sleep detection point based on the glucose data, and can obtain the fluctuation type in other mathematical ways or algorithms based on the glucose concentration, the lowest glucose concentration, the maximum glucose fluctuation amplitude and the sleep glucose fluctuation amplitude of the sleep detection point. In this case, the glucose monitoring system 1 can determine the corresponding fluctuation type by comparing the obtained glucose concentration, the lowest glucose concentration, the maximum glucose fluctuation amplitude and the sleep glucose fluctuation amplitude of the subject 2 at the sleep detection point with the algorithm of glucose concentration and fluctuation type configured in the processing module 134.

[0096] In some examples, the fluctuation type can include elevated fasting glucose, persistently high, first drop and then rise, large fluctuation, normal fluctuation, large fluctuation and low glucose, and normal fluctuation but low glucose. In this case, the glucose monitoring system 1 can determine which one of the fluctuation types of elevated fasting glucose, persistently high, first drop and then rise, large fluctuation, normal fluctuation, large fluctuation and low glucose, and normal fluctuation but low glucose the subject 2 belongs to at the sleep time according to the obtained glucose data, and provide corresponding guidance information or suggestions for the subject 2 or the doctor according to the determined fluctuation type.

[0097] In some examples, the fluctuation type can be divided according to sleep. In some examples, the guidance information or suggestions can be provided without being limited to one guidance information or suggestion according to the monitoring days of the glucose monitoring system 1 and the fluctuation type. For example, the monitoring days of the glucose monitoring system 1 can be set to 15 consecutive days, or more days, or less days. In this case, according to the corresponding sleep information, the fluctuation type and the days, the glucose monitoring system 1 can provide guidance information or suggestions suitable for the glucose concentration of the subject 2 in order to help improve the quality of life.

[0098] Figure 4a The interface diagram of the real-time monitoring of the mobile terminal device of the glucose monitoring system for the glucose concentration before and after sleep according to the embodiments of the present application is shown in FIG. 6; Figure 4b The interface diagram of the sleep record of the mobile terminal device of the glucose monitoring system for the glucose concentration before and after sleep according to the embodiments of the present application is shown in FIG. 7; Figure 4c The interface diagram of the glucose record of the mobile terminal device of the glucose monitoring system for the glucose concentration before and after sleep according to the embodiments of the present application is shown in FIG. 8;​Figure 4d is a schematic diagram of a sleep analysis interface of a mobile terminal device of a glucose monitoring system for glucose concentration before and after sleep according to an embodiment of the present application; Figure 4e is a schematic diagram of sleep guidance information of a mobile terminal device of a glucose monitoring system for glucose concentration before and after sleep according to an embodiment of the present application.

[0099] In some examples, a fluctuation type can correspond to a plurality of guidance suggestions according to a monitoring day of the glucose monitoring system 1.

[0100] In some examples, the guidance suggestions can include guidance suggestions given for sleep at different times of the same day.

[0101] In some examples, the guidance suggestions can include a monitoring day, for example, the guidance suggestions can indicate that the day is the first day of using the glucose monitoring system 1, the guidance suggestions can indicate that the day is the second day of using the glucose monitoring system 1, the guidance suggestions can indicate that the day is the 14th day of using the glucose monitoring system 1, and so on.

[0102] As Figure 4a , 4b and 4c, in some examples, as described above, the guidance suggestions can include reasons for the fluctuation type, in particular, if the fluctuation type is an increase, there can be a variety of reasons, for example:

[0103] 1. You have a trend of increasing fasting blood glucose in the morning, consider the possibility of dawn phenomenon.

[0104] 2. Generally from 3 am to 8 am is the peak of secretion of glucose-raising hormones, which can easily cause dawn phenomenon and other reasons, the guidance suggestions can give one or more reasons.

[0105] In this case, the subject 2 can preliminarily infer the reasons for the corresponding fluctuation type.

[0106] In some examples, the reasons for the fluctuation type in each guidance suggestion can be different. In this case, the subject 2 can fully understand the multiple reasons for the corresponding fluctuation type.

[0107] In some examples, as Figure 4c , 4d , 4e, the guidance suggestions can also include prevention suggestions, and different analysis reasons and different prevention suggestions are provided corresponding to different fluctuation types. For example, the fluctuation type is fasting glucose increase, the analysis reasons are: 1. You have a trend of increasing fasting blood glucose in the morning, consider the possibility of dawn phenomenon 2. Generally from 3 am to 8 am is the peak of secretion of glucose-raising hormones, which can easily cause dawn phenomenon, and the corresponding prevention suggestions are:

[0108] 1. Insulin resistance can be reduced and fasting blood sugar can be lowered by sticking to regular exercise every day.

[0109] 2. Walking, dancing, and doing exercises at night can relieve daytime stress and help improve the dawn phenomenon.

[0110] In some examples, the guidance suggestions can be as shown below (not limited to):

[0111] The sleep fluctuation type on the first day is fasting glucose rise, and the cause analysis is that your fasting blood sugar in the morning has a rising trend, and the dawn phenomenon is considered possible; the prevention suggestion is to stick to regular exercise every day, which can reduce insulin resistance and lower fasting blood sugar.

[0112] The sleep fluctuation type on the second day is fasting glucose rise, and the cause analysis is that your blood sugar rises from night to morning, which may be the dawn phenomenon; the prevention suggestion is to exercise 3-5 times a week, each time for 30-60 minutes, which can increase insulin sensitivity and lower fasting blood sugar.

[0113] The sleep fluctuation type on the fifteenth day is fasting glucose rise, and the cause analysis is that illness, poor physical condition, and increased glucose-raising hormones during special periods can cause the dawn phenomenon; the prevention suggestion is that glucose-raising hormones are substances that protect the body and help us get through various stress periods.

[0114] The sleep fluctuation type on the first day is sustained high, and the cause analysis is that have you used hypoglycemic drugs? Have you missed taking or using hypoglycemic drugs? The prevention suggestion is that occasional missed use of hypoglycemic drugs can cause night and fasting blood sugar to rise, and hypoglycemic drugs need to be used on time and in the right amount.

[0115] The sleep fluctuation type on the second day is sustained high, and the cause analysis is that your fasting and night blood sugar is a little high, and did you have a big meal the night before? The prevention suggestion is that a big meal generally has high heat, and the glucose-raising time after eating is long, which can affect night and the next day's fasting blood sugar, so eat less at night.

[0116] In some examples, the guidance information or suggestions related to sleep behavior can also include at least one of suggestions for sleep time, suggestions for sleep before sleep, suggestions for exercise before sleep, suggestions for insulin intake time before and after sleep, suggestions for insulin intake type before and after sleep, and suggestions for insulin intake amount before and after sleep.

[0117] In this case, the glucose monitoring system 1 can provide at least one of a suggestion for a sleep time, a suggestion for a pre-sleep sleep, a suggestion for a pre-sleep exercise, a suggestion for an insulin intake time before and after sleep, a suggestion for an insulin intake type before and after sleep, and a suggestion for an insulin intake amount before and after sleep for the subject 2 according to the determined fluctuation type. The suggestions can improve the quality of life of the subject 2 and reduce the time spent by the subject 2 seeking a doctor and the time spent by the doctor providing evaluation suggestions.

[0118] In some examples, the processing module 134 can perform noise reduction processing on the glucose data. In this case, the glucose monitoring system 1 can eliminate variables that can affect the determination of the fluctuation type in the glucose data to obtain a more accurate fluctuation type.

[0119] In some examples, the processing module 134 can obtain a glucose concentration curve based on the glucose data and perform smoothing processing on the glucose concentration curve. In this case, the glucose monitoring system 1 can display a more smoothed glucose dynamic curve for the subject 2 or the doctor, which can facilitate the doctor in interpreting the glucose dynamic curve and classifying, thereby providing more accurate guidance suggestions and improving user experience.

[0120] In some examples, the processing module 134 can classify the fluctuation type of the glucose concentration based on classification conditions related to the glucose concentration, which can include a first classification condition, a second classification condition, a third classification condition, and a fourth classification condition. The first classification condition can be that the glucose concentration corresponding to the sleep detection point is not less than a first preset value. The second classification condition can be that the minimum glucose concentration is not less than a second preset value. The third classification condition can be that the maximum glucose fluctuation amplitude is not less than a third preset value. The fourth classification condition can be that the sleep glucose fluctuation amplitude is not less than a fourth preset value.

[0121] 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 sleep time based on the classified conditions in the processing module 134 and the fluctuation characteristics of the glucose data curve and provide corresponding guidance suggestions in a timely manner.

[0122] In some examples, the first preset value can be greater than the second preset value, the second preset value can be greater than the third preset value, and the third preset value can be equal to the fourth 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 sleep time based on the classified conditions in the processing module 134 and provide corresponding guidance suggestions in a timely manner.

[0123] In some examples, the first preset value can be no less than 7.0 mmol / L, for example, the first preset value can be 7 mmol / L, 7.2 mmol / L, 7.4 mmol / L, 7.6 mmol / L, 7.8 mmol / L, or 8 mmol / L, etc., preferably, the first preset value can be 7 mmol / L or 7.2 mmol / L. In this case, it can be judged whether the glucose fluctuation before and after sleep is large, and the glucose concentration curve measured by the glucose monitoring system 1 can be more accurately classified by the fluctuation type.

[0124] In some examples, the second preset value can be 3.6 to 4.4 mmol / L, for example, the second preset value can be 3.6 mmol / L, 3.7 mmol / L, 3.8 mmol / L, 3.9 mmol / L, 4.0 mmol / L, 4.1 mmol / L, 4.2 mmol / L, 4.3 mmol / L or 4.4 mmol / L, etc., preferably, the second preset value can be 3.6 mmol / L, 3.8 mmol / L, 3.9 mmol / L or 4.0 mmol / L. In this case, it can be judged whether the glucose fluctuation after sleep is large, and the glucose concentration curve measured by the glucose monitoring system 1 can be more accurately classified by the fluctuation type.

[0125] In some examples, the third preset value can be 3.0 to 3.8 mmol / L, and the fourth preset value can be 3.0 to 3.8 mmol / L. For example, the third preset value and the fourth preset value can be 3.0 mmol / L, 3.2 mmol / L, 3.4 mmol / L, 3.6 mmol / L, 3.8 mmol / L, etc., preferably, the third preset value and the fourth preset value can be 3.2 mmol / L, 3.3 mmol / L, or 3.4 mmol / L. In this case, it can be judged whether the sleep glucose is high, and the glucose concentration curve measured by the glucose monitoring system 1 can be more accurately classified by the fluctuation type.

[0126] In some examples, 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 data described in the following algorithm are mmol / L of glucose concentration unless otherwise specified):

[0127] In some examples, as Figure 3aAs shown: the analysis period of the glucose concentration curve of the fluctuation type of fasting hyperglycemia is the sleep time - the wake-up time. The fluctuation characteristics of the glucose concentration curve of the fluctuation type of fasting hyperglycemia are 1. fasting hyperglycemia; 2. no hypoglycemia at night; 3. night to fasting blood glucose shows a significant upward trend. The formula algorithm of the glucose concentration curve of the fluctuation type of fasting hyperglycemia is 1. fasting glucose >= first preset value; 2. the lowest blood glucose at night > second preset value; 3. fasting blood glucose - the lowest value at night >= third preset value. The evaluation result of the glucose concentration curve of the fluctuation type of fasting hyperglycemia is: dawn phenomenon possible.

[0128] In some examples, as shown in Figure 3b As shown: the analysis period of the glucose concentration curve of the fluctuation type of continuous high is the sleep time - the wake-up time. The fluctuation characteristics of the glucose concentration curve of the fluctuation type of continuous high are 1. fasting hyperglycemia; 2. no hypoglycemia at night; 3. night to fasting blood glucose shows a decreasing or slightly increasing trend. The formula algorithm of the glucose concentration curve of the fluctuation type of continuous high is 1. fasting glucose >= first preset value; 2. the lowest blood glucose at night > second preset value; 3. fasting blood glucose - the lowest value at night < third preset value. The evaluation result of the glucose concentration curve of the fluctuation type of continuous high is: night hyperglycemia.

[0129] In some examples, as shown in Figure 3c As shown: the analysis period of the glucose concentration curve of the fluctuation type of first decrease and then increase is the sleep time - the wake-up time. The fluctuation characteristics of the glucose concentration curve of the fluctuation type of first decrease and then increase are 1. fasting hyperglycemia; 2. hypoglycemia at night; 3. night to fasting blood glucose shows a significant upward trend. The formula algorithm of the glucose concentration curve of the fluctuation type of first decrease and then increase is 1. fasting glucose >= first preset value; 2. the lowest blood glucose at night <= second preset value. The evaluation result of the glucose concentration curve of the fluctuation type of first decrease and then increase is: suoji phenomenon possible.

[0130] In some examples, as shown in Figure 3d As shown: the analysis period of the glucose concentration curve of the fluctuation type of large fluctuation is the sleep time - the wake-up time. The fluctuation characteristics of the glucose concentration curve of the fluctuation type of large fluctuation are 1. fasting blood glucose is not high; 2. no hypoglycemia at night; 3. part of the night blood glucose fluctuation rises, part of it falls, and the amplitude is large. The formula algorithm of the glucose concentration curve of the fluctuation type of large fluctuation is 1. fasting glucose < first preset value; 2. the lowest blood glucose at night > second preset value; 3. the highest value of the peak - the lowest value of the trough >= fourth preset value. The evaluation result of the glucose concentration curve of the fluctuation type of large fluctuation is: large night glucose fluctuation.

[0131] In some examples, as shown in Figure 3e-1As shown: the analysis period of the glucose concentration curve of the fluctuation type of normal glucose fluctuation is the sleep time - the wake-up time. The fluctuation characteristics of the glucose concentration curve of the fluctuation type of normal glucose fluctuation are 1. normal fasting blood glucose; 2. no hypoglycemia at night; 3. part of the night blood glucose fluctuation rises, part of it falls, and the amplitude is small. The formula algorithm of the glucose concentration curve of the fluctuation type of normal glucose fluctuation is 1. fasting blood glucose < first preset value; 2. the lowest blood glucose at night >= second preset value; 3. the highest value of the peak - the lowest value of the trough < fourth preset value. The evaluation result of the glucose concentration curve of the fluctuation type of normal glucose fluctuation is: the night glucose fluctuation is normal.

[0132] In some examples, as shown in FIG. 6, the analysis period of the glucose concentration curve of the fluctuation type of large glucose fluctuation is the sleep time - the wake-up time. The fluctuation characteristics of the glucose concentration curve of the fluctuation type of large glucose fluctuation are 1. normal fasting blood glucose; 2. no hypoglycemia at night; 3. part of the night blood glucose fluctuation rises, part of it falls, and the amplitude is large. The formula algorithm of the glucose concentration curve of the fluctuation type of large glucose fluctuation is 1. fasting blood glucose < first preset value; 2. the lowest blood glucose at night <= second preset value; 3. the highest value of the peak - the lowest value of the trough >= fourth preset value. The evaluation result of the glucose concentration curve of the fluctuation type of large glucose fluctuation is: the night glucose fluctuation is large. Figure 3e-2 As shown: the analysis period of the glucose concentration curve of the fluctuation type of normal glucose fluctuation is the sleep time - the wake-up time. The fluctuation characteristics of the glucose concentration curve of the fluctuation type of normal glucose fluctuation are 1. normal fasting blood glucose; 2. no hypoglycemia at night; 3. part of the night blood glucose fluctuation rises, part of it falls, and the amplitude is small. The formula algorithm of the glucose concentration curve of the fluctuation type of normal glucose fluctuation is 1. fasting blood glucose < first preset value; 2. the lowest blood glucose at night >= second preset value; 3. the highest value of the peak - the lowest value of the trough < fourth preset value. The evaluation result of the glucose concentration curve of the fluctuation type of normal glucose fluctuation is: the night glucose fluctuation is normal.

[0133] In some examples, as shown in FIG. 6, the analysis period of the glucose concentration curve of the fluctuation type of large glucose fluctuation is the sleep time - the wake-up time. The fluctuation characteristics of the glucose concentration curve of the fluctuation type of large glucose fluctuation are 1. normal fasting blood glucose; 2. no hypoglycemia at night; 3. part of the night blood glucose fluctuation rises, part of it falls, and the amplitude is large. The formula algorithm of the glucose concentration curve of the fluctuation type of large glucose fluctuation is 1. fasting blood glucose < first preset value; 2. the lowest blood glucose at night <= second preset value; 3. the highest value of the peak - the lowest value of the trough >= fourth preset value. The evaluation result of the glucose concentration curve of the fluctuation type of large glucose fluctuation is: the night glucose fluctuation is large. Figure 3e-3 As shown: the analysis period of the glucose concentration curve of the fluctuation type of normal glucose fluctuation is the sleep time - the wake-up time. The fluctuation characteristics of the glucose concentration curve of the fluctuation type of normal glucose fluctuation are 1. normal fasting blood glucose; 2. no hypoglycemia at night; 3. part of the night blood glucose fluctuation rises, part of it falls, and the amplitude is small. The formula algorithm of the glucose concentration curve of the fluctuation type of normal glucose fluctuation is 1. fasting blood glucose < first preset value; 2. the lowest blood glucose at night >= second preset value; 3. the highest value of the peak - the lowest value of the trough < fourth preset value. The evaluation result of the glucose concentration curve of the fluctuation type of normal glucose fluctuation is: the night glucose fluctuation is normal.

[0134] In addition to other types: the analysis period is the sleep time - the wake-up time, the judgment logic or the fluctuation characteristics are not in accordance with the above 6 kinds, and the evaluation result of the fluctuation trend is the night blood glucose irregular fluctuation (this kind of logic is further classified).

[0135] Although the present application has been described in connection with the embodiments thereof with reference to the drawings, it will be apparent to those skilled in the art that modifications and variations can be made therein without departing from the spirit and scope of the application. Accordingly, it is intended that the present application be construed as including all such modifications and variations as fall within the scope of the present application.

Claims

1. A glucose monitoring system for glucose concentration before and after sleep, which is a glucose monitoring system for detecting glucose concentration of a subject to be measured and giving guidance information, characterized by, The glucose monitoring system comprises a sensing module, a communication module and a processing module, the sensing module is configured to detect glucose data of the subject, the glucose data comprises time-varying glucose concentration between before sleep and after sleep of the subject; the communication module is configured to receive the glucose data and transmit to the processing module; The processing module is configured to determine fluctuation type of glucose concentration curve between before sleep and after sleep based on the glucose data, the analysis period of the glucose concentration curve is from sleep time to wake-up time, the fluctuation type reflects the change trend of the glucose concentration between before sleep and after sleep, and the fluctuation type comprises fasting glucose rise, continuous high, first drop and then rise, large fluctuation, normal fluctuation, large fluctuation and low glucose, and the processing module generates guidance information or suggestion related to sleep behavior according to the fluctuation type and the reason for generating the fluctuation type, The processing module obtains glucose concentration at sleep detection point, minimum glucose concentration, maximum glucose fluctuation amplitude and sleep glucose fluctuation amplitude based on the glucose data, and obtains the fluctuation type based on the glucose concentration at the sleep detection point, the maximum glucose fluctuation amplitude and the sleep glucose fluctuation amplitude, wherein the minimum glucose concentration is the lowest glucose concentration among the detection points between the time before sleep and the time after sleep, the maximum glucose fluctuation amplitude is the difference between the maximum glucose concentration and the minimum glucose concentration among the detection points between the time before sleep and the time after sleep, and the sleep glucose fluctuation amplitude is the difference between the glucose concentration at the sleep detection point and the minimum glucose concentration. The processing module classifies the fluctuation type of the glucose concentration based on classification conditions related to the glucose concentration, the classification conditions comprise a first classification condition, a second classification condition, a third classification condition and a fourth classification condition, the first classification condition is that the glucose concentration corresponding to the sleep detection point is not less than a first preset value, the second classification condition is that the minimum glucose concentration is not less than a second preset value, the third classification condition is that the maximum glucose fluctuation amplitude is not less than a third preset value, and the fourth classification condition is that the sleep glucose fluctuation amplitude is not less than a fourth preset value, the glucose monitoring system obtains the fluctuation type corresponding to the glucose concentration of the subject at a sleep time according to the classified conditions in the processing module and the fluctuation characteristics of the glucose data curve, and provides corresponding guidance information or suggestion in time.

2. The glucose monitoring system according to claim 1, wherein: The glucose monitoring system further comprises an input module, the input module is configured to input sleep time when the subject starts to sleep in a fasting state and wake-up time when the subject ends to sleep.

3. The glucose monitoring system according to claim 2, wherein: The glucose data includes glucose concentrations of multiple detection points and detection times corresponding to the multiple detection points, if the sleep time entered by the subject is located at the midpoint of detection times corresponding to two adjacent detection points, any one of the two adjacent detection points is taken as a sleep detection point, if the sleep time entered by the subject is not between two adjacent detection points or is not at the midpoint of detection times corresponding to the two adjacent detection points, the detection point closest to the sleep time entered by the subject is taken as a sleep detection point, if the sleep wake-up time entered by the subject is located at the midpoint of detection times corresponding to two adjacent detection points, any one of the two adjacent detection points is taken as a sleep wake-up detection point, if the sleep wake-up time entered by the subject is not between two adjacent detection points or is not at the midpoint of detection times corresponding to the two adjacent detection points, the detection point closest to the sleep wake-up time entered by the subject is taken as a sleep wake-up detection point.

4. The glucose monitoring system of claim 3, wherein: The time before sleep is the detection time corresponding to the sleep detection point, and the time after sleep is the detection time corresponding to the sleep wake-up detection point.

5. The glucose monitoring system of claim 1, wherein: The guidance information or suggestions related to sleep behavior include at least one of suggestions for sleep time, suggestions for sleep before sleep, suggestions for exercise before sleep, suggestions for insulin intake time before and after sleep, suggestions for insulin intake type before and after sleep, and suggestions for insulin intake amount before and after sleep.

6. The glucose monitoring system of claim 1, wherein: The processing module performs noise reduction processing on the glucose data.

7. The glucose monitoring system of claim 1, wherein: The processing module obtains a glucose concentration curve based on the glucose data and performs smoothing processing on the glucose concentration curve.

8. The glucose monitoring system of claim 2, wherein: The glucose monitoring system further comprises a display module configured to display at least one of guidance information, a glucose concentration curve, and a fluctuation type.

9. The glucose monitoring system of claim 8, wherein: The glucose monitoring system further comprises a storage module configured to store the glucose data.

10. The glucose monitoring system of claim 1, wherein: The sensing module is used to obtain glucose concentration in interstitial fluid, and the sensing module obtains glucose concentration at a preset frequency.

11. The glucose monitoring system of claim 9, wherein: The input module, the processing module, and the display module are integrated into a mobile terminal device, the mobile terminal device has a software program, the software program is configured to input sleep time through the input module, obtain fluctuation type and guidance information through the processing module, and display guidance information through the display module. 12.The glucose monitoring system of claim 1, wherein: the first preset value is greater than the second preset value, the second preset value is greater than the third preset value, and the third preset value is equal to the fourth preset value. 13.The glucose monitoring system of claim 1, wherein: the first preset value is not less than 7.0 mmol / L, and the second preset value is 3.6-4.4 mmol / L. 14.The glucose monitoring system of claim 1, wherein: the third preset value is 3.0-3.8 mmol / L, and the fourth preset value is 3.0-3.8 mmol / L. 15.The glucose monitoring system of claim 1, wherein: the sensor module detects the glucose concentration of the interstitial fluid of the subject through a sensor assembly capable of reacting with glucose. 16.The glucose monitoring system of claim 1, wherein: the communication module transmits the glucose data to the processing module through a wireless or wired manner. 17.The glucose monitoring system of claim 16, wherein: the wireless manner comprises at least one of Bluetooth, Wifi, 3G / 4G / 5G, NFC, UWB, and Zig-Bee.

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