CN116407120A

CN116407120A - Glucose monitoring system for identifying dawn phenomenon

Info

Publication number: CN116407120A
Application number: CN202210304659.0A
Authority: CN
Inventors: 洛佩; 何宇星; 彭璨; 陈中钊; 明瑞彬; 雷启洲; 孔书毅; 李健; 吴家怀; 孙俊杰; 詹仕欣
Original assignee: Shenzhen Silicon Bionics Technology Co ltd
Current assignee: Shenzhen Silicon Bionics Technology Co ltd
Priority date: 2021-12-31
Filing date: 2022-03-26
Publication date: 2023-07-11
Also published as: CN116407121A; CN116407122A; CN116407123A

Abstract

The invention provides a glucose monitoring system for identifying dawn phenomenon, which comprises a sensing module, an interaction module, a communication module and a processing module. Wherein the sensing module is configured to continuously monitor the glucose concentration of the wearer; the communication module is configured to receive the glucose concentration monitored by the sensing module and send the glucose concentration to the processing module; the interaction module is configured to interact with the wearer to obtain an interaction result and send the interaction result to the processing module, the interaction comprising: acquiring a preset time interval from night sleep time to breakfast time of a wearer, and inquiring sleeping behaviors of the wearer based on the glucose concentration in the preset time interval; the processing module is configured to determine whether a dawn phenomenon occurs to the wearer based on the glucose concentration and the interaction result within the preset time interval, and generate the guide information. By identifying dawn phenomenon and outputting guide information explaining dawn phenomenon, the wearer can be better helped to monitor and manage glucose so as to improve the life quality of the wearer.

Description

Glucose monitoring system for identifying dawn phenomenon

Technical Field

The present invention relates generally to smart medicine, and more particularly to a glucose monitoring system for identifying dawn phenomenon.

Background

Diabetes and its chronic complications have become one of the conditions that seriously affect human health today. In order to delay and reduce chronic complications of diabetes, glucose is required to be strictly controlled, and thus, a continuous glucose monitoring system (Continuous glucose monitoring system, CGMS) for dynamically reflecting glucose fluctuations is widely used. There are a number of continuous glucose monitoring systems currently available for FDA and/or CE certification in the united states that allow use in europe and america, most of which are minimally invasive, using a subcutaneous probe to monitor interstitial fluid glucose, and a few on the skin surface. The glucose concentration of interstitial fluid measured by CGMS has good correlation with the venous glucose concentration and the fingertip blood glucose concentration, and can be used as a means for assisting glucose monitoring.

The fluctuation of glucose in diabetics varies from person to person and is also related to the individual status, and there are not only simple high and low glucose phenomena but also various complex physiological or pathological phenomena such as dawn phenomenon. It is often difficult for diabetics to discern other more complex phenomena than high and low glucose.

In the prior art, if a system for monitoring glucose is insufficient to obtain only glucose data and display the glucose level to diabetics, the system needs to analyze the data and explain the type of glucose fluctuation such as dawn phenomenon to diabetics, so that the diabetics can be better helped in glucose management.

Disclosure of Invention

The present invention has been made in view of the above-described conventional circumstances, and an object thereof is to provide a glucose monitoring system for recognizing dawn phenomenon, which can better help a wearer monitor and manage glucose and thus improve the quality of life of the wearer by recognizing dawn phenomenon and outputting guide information explaining dawn phenomenon.

To this end, the present invention provides a glucose monitoring system for identifying dawn phenomenon, comprising a sensing module, an interaction module, a communication module and a processing module. Wherein the sensing module is configured to continuously monitor the glucose concentration of the wearer; the communication module is configured to receive the glucose concentration monitored by the sensing module and send the glucose concentration to the processing module; the interaction module is configured to interact with a wearer to obtain an interaction result and send the interaction result to the processing module, the interaction comprising: acquiring a preset time interval from night sleep time to breakfast time of a wearer, and inquiring pre-sleep behavior of the wearer based on the glucose concentration in the preset time interval; the processing module is configured to judge whether the glucose fluctuation type of the dawn phenomenon occurs to the wearer or not based on the glucose concentration in the preset time interval and the interaction result, and generate guide information.

In this case, glucose data of a wearer (for example, a diabetic patient) can be obtained through the sensing module, the glucose monitoring system and the wearer can be subjected to information interaction through the interaction module to obtain an interaction result, the glucose concentration is sent to the processing module through the communication module, and the processing module can judge whether the glucose fluctuation type of the dawn phenomenon occurs to the wearer or not based on the glucose concentration and the interaction result, and generate guide information. Therefore, when the glucose wave of the dawn phenomenon occurs to the wearer, the cause of the dawn phenomenon can be explained and guidance can be provided for the wearer, so that the monitoring and management of the glucose by the wearer can be better facilitated, and the life quality of the wearer can be improved.

According to the glucose monitoring system of the present invention, optionally, the preset time interval includes a first time interval and a second time interval, the first time interval is a time from a time of getting up to a time of dining in the morning of the wearer, and the second time interval is a time from a time of falling asleep in the evening to a time of getting up in the morning of the wearer. In this case, the glucose concentration of the wearer in the first time zone and the second time zone among the preset time zones can be obtained, and the data of the glucose concentration can be analyzed later and the type of glucose fluctuation of whether the wearer has dawn phenomenon can be judged.

According to the glucose monitoring system according to the present invention, optionally, the glucose concentration includes a fasting highest glucose concentration located in the first time interval and a lowest glucose concentration located in the second time interval. In this case, it is possible to judge whether the wearer has a type of glucose excursion of the dawn phenomenon in an algorithm or judgment logic of the subsequent dawn phenomenon by the fasting highest glucose concentration located in the first time interval and the lowest glucose concentration located in the second time interval.

According to the glucose monitoring system of the present invention, optionally, if the fasting maximum glucose concentration is not less than a first preset value, the minimum glucose concentration is greater than a second preset value, and a difference between the fasting maximum glucose concentration and the minimum glucose concentration is not less than a third preset value, it is determined that the wearer is in dawn. In this case, the type of glucose fluctuation whether or not the wearer is at dawn can be obtained based on the glucose concentration of the wearer.

Optionally, according to the glucose monitoring system according to the present invention, the interaction result comprises at least one of sleeping time, pre-sleep behavior, sleeping state of the wearer. Under the condition, the information such as sleeping time, sleeping behavior and sleeping state of the wearer is obtained through the interaction module, so that the glucose monitoring system can more accurately analyze the glucose fluctuation type of the wearer, and the glucose monitoring system can better help the wearer to monitor and manage glucose so as to improve the life quality of the wearer.

According to the glucose monitoring system according to the present invention, optionally, the interaction module comprises a display unit configured to display at least one of the guidance information, the interaction question, the glucose concentration profile, and the glucose excursion type. Under the condition, the display unit of the interaction module can intuitively display information such as guide information, interaction problems, glucose concentration curves, glucose fluctuation types and the like to a wearer, and the wearer can conveniently and well manage glucose according to the guide information and the like.

According to the glucose monitoring system according to the invention, optionally, the interaction module further comprises an entry unit configured to enter data comprising a morning time of getting up, a night time of falling asleep, a morning meal time and feedback on the interaction question. Under the condition, the input unit of the interaction module can enable a wearer to input information such as the time of getting up in the morning, the time of falling asleep at night, the time of dining in the morning, feedback aiming at interaction problems and the like, so that the glucose monitoring system can more accurately judge whether the glucose fluctuation type of the dawn phenomenon occurs or not.

According to the glucose monitoring system, optionally, the interaction module and the processing module are integrated in a mobile terminal, and the mobile terminal is provided with an application program for realizing the functions of the interaction module and the processing module. Under the condition, a wearer can conveniently use the glucose monitoring system to manage glucose through the mobile terminal, and the life quality is improved.

According to the glucose monitoring system, optionally, the processing module is configured to obtain a preliminary judgment result based on the glucose concentration in the preset time interval, judge whether the dawn phenomenon occurs on the wearer based on the preliminary judgment result and the interaction result, and generate the guiding information. Under the condition, the processing module can more accurately judge whether the glucose fluctuation type is dawn or not through the preliminary judgment result and the interaction result, so that a wearer can manage glucose according to the guide information better.

According to the glucose monitoring system according to the present invention, optionally, the interaction module is configured to inquire of the wearer about the pre-sleep behavior of the wearer based on the preliminary determination result, and to display the inquired questions. In this case, the processing module can more accurately judge the glucose excursion type of the wearer by preliminarily judging the result and recording the sleeping behavior of the wearer.

Optionally, the guidance information includes the glucose excursion type, a cause related to the glucose excursion type, and a behavior suggestion. In this case, the wearer can better manage glucose through the guide information of the glucose monitoring system, thereby improving the quality of life.

The glucose monitoring system according to the present invention optionally further comprises a memory module configured to store data of the glucose concentration. In this case, the glucose monitoring system can record more glucose concentration data and interactive information of the wearer, thereby facilitating better analysis of the glucose fluctuation type of the wearer by the glucose monitoring system.

According to the glucose monitoring system, optionally, the sensing module is used for acquiring the glucose concentration in interstitial fluid, and the sensing module acquires the glucose concentration at a preset frequency. In this case, by obtaining the glucose concentration of the interstitial fluid of the wearer at a preset frequency, the glucose monitoring system can be facilitated to help the wearer to better manage glucose.

According to the glucose monitoring system according to the invention, optionally, the communication module transmits the data of the glucose concentration to the processing module wirelessly. In this case, the glucose monitoring system can be facilitated to obtain the glucose concentration of the wearer and to facilitate the use of the glucose monitoring system by the wearer to manage glucose.

Optionally, the glucose monitoring system according to the present invention comprises at least one of bluetooth, wifi, 3G/4G/5G network, NFC, UWB and zigbee. In this case, the glucose monitoring system can be facilitated to obtain the glucose concentration of the wearer and to facilitate the use of the glucose monitoring system by the wearer to manage glucose.

According to the present invention, it is possible to provide a glucose monitoring system for recognizing dawn phenomenon, by recognizing dawn phenomenon and outputting guide information explaining dawn phenomenon, thereby being capable of better helping a wearer monitor and manage glucose to thereby improve the quality of life of the wearer.

Drawings

Fig. 1 is a diagram of an application scenario of a glucose monitoring system according to an example of the present invention.

FIG. 2 is a system block diagram of a glucose monitoring system in accordance with an example of the present invention.

FIG. 3 is a block diagram of the interaction module in a glucose monitoring system according to an example of the present invention.

Fig. 4 is a schematic diagram of an entry scenario of an entry unit of an interaction module according to an example of the invention.

Fig. 5 is a schematic view of a display scenario of a display unit of an interaction module according to an example of the present invention.

FIG. 6 is a flow chart of the operation of the glucose monitoring system according to an example of the present invention.

FIG. 7 is a flowchart of a glucose monitoring system for identifying dawn phenomenon in accordance with an example of the present invention.

Fig. 8 is a glucose curve of the type of glucose excursions corresponding to dawn phenomenon according to an example of the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

It should be noted that the terms "first," "second," "third," and "fourth," etc. in the description and claims of the present invention and in the above figures are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus. In the following description, the same members are denoted by the same reference numerals, and overlapping description thereof is omitted. In addition, the drawings are schematic, and the ratio of the sizes of the components to each other, the shapes of the components, and the like may be different from actual ones.

Therefore, in the dynamic curve of CGMS reflecting glucose fluctuation, if an identification algorithm can be added to automatically output single-day glucose assessment, and the glucose fluctuation type is analyzed so as to intelligently output and explain the glucose fluctuation type such as dawn phenomenon to non-professional diabetics, the monitoring of glucose by diabetics and the management of glucose can be better facilitated, and the life quality of diabetics is further improved. In view of the deficiencies of the prior art, it is particularly important to provide a glucose monitoring system for identifying the type of glucose fluctuations of the dawn phenomenon and intelligently outputting interpretation and guidance information of the dawn phenomenon. Therefore, the present invention provides a glucose monitoring system for recognizing dawn phenomenon, by recognizing dawn phenomenon and outputting guide information explaining dawn phenomenon, thereby being capable of better helping a wearer to monitor and manage glucose and thus improving the life quality of the wearer.

"dawn phenomenon" (DMDP) as referred to in the present invention means a high glucose state in the morning caused by unbalanced secretion between various hormones at dawn (3-9 a.m.) in the case where glucose control is still and smooth at night, i.e., no low glucose, in diabetics. Dawn phenomenon occurs mostly in diabetics and is also seen in healthy people. The term "fasting glucose concentration (also referred to as" fasting maximum glucose concentration "and" fasting blood glucose "and the like)" as used herein means a glucose value detected in plasma collected before breakfast after a night (at least 8 to 10 hours without any food or drinking water), and reflects islet B cell function, and generally indicates basal insulin secretion function, which is the most commonly used detection index for diabetes. In addition, the "minimum glucose concentration" referred to in the present invention means the minimum glucose concentration that occurs at night (sleep time).

In addition, the present invention can also be used to identify other types of glucose fluctuations besides dawn phenomenon, such as sappan wood jie phenomenon, dusk phenomenon, late dusk phenomenon, and the like. In other words, other types of glucose excursion besides dawn phenomenon, such as sappan-jie phenomenon, dusk phenomenon, late dusk phenomenon, etc., may also be implemented by the hardware of the glucose monitoring system of the present invention.

In the present invention, for convenience of description, the glucose monitoring system for recognizing dawn phenomenon may be sometimes referred to as a glucose monitoring system, a system, and unless otherwise defined, the foregoing names appearing herein may be interpreted as the glucose monitoring system for recognizing dawn phenomenon according to the present invention.

FIG. 1 is a diagram illustrating an application scenario of a glucose monitoring system 1 in accordance with an example of the present invention; fig. 2 is a system block diagram showing a glucose monitoring system 1 according to an example of the present invention.

In some examples, the glucose monitoring system 1 may include: the device comprises a sensing module 11, an interaction module 131, a communication module 12 and a processing module 133. Wherein the sensing module 11 is configured to continuously monitor the glucose concentration of the wearer 2; the communication module 12 is configured to receive the glucose concentration monitored by the sensing module 11 and send to the processing module 133; the interaction module 131 is configured to interact with the wearer 2 to obtain interaction results and send the interaction results to the processing module 133, the interaction comprising: acquiring a preset time interval from night falling time to breakfast time of the wearer 2, and inquiring the pre-sleep behavior of the wearer 2 based on the glucose concentration in the preset time interval; the processing module 133 is configured to determine whether the glucose excursion type of the dawn phenomenon occurs to the wearer 2 based on the glucose concentration and the interaction result within the preset time interval, and generate the guide information.

In this case, the sensing module 11 can obtain the data of the glucose concentration of the wearer 2 (for example, a diabetic patient), the interaction module 131 can perform information interaction between the glucose monitoring system 1 and the wearer 2 to obtain an interaction result, the communication module 12 can transmit the glucose concentration to the processing module 133, and the processing module 133 can determine whether the glucose excursion type of the dawn phenomenon occurs in the wearer 2 based on the glucose concentration and the interaction result, and generate the guidance information. Thus, when the wearer 2 is in the form of glucose excursion of dawn, the cause of dawn can be interpreted and guidance provided to the wearer 2, better helping the wearer 2 to monitor and manage glucose and thus improving the quality of life of the wearer 2.

In some examples, the sensing module 11 may be implanted or semi-implanted subcutaneously, typically subcutaneously in the abdomen, or may be other parts of the arm. In some examples, the portion of the sensing module 11 implanted in the human body may be composed of a semi-permeable membrane, glucose oxidase, and microelectrodes. Preferably, the sensing module 11 may be an implantable glucose detection sensor. In this case, the implantable or semi-implantable sensor can alleviate physiological pain of the wearer 2 compared with the conventional blood collection method, and has the advantages of short collection period, more sampling data, continuous sampling and the like. In other examples, the sensing module 11 may also be a non-implantable sensor. In this case, the sampled patient needs to perform blood collection periodically, and data accuracy is high.

In some examples, the sensing module 11 may measure glucose in the subcutaneous tissue fluid and obtain an electrical signal to reflect the glucose concentration, which may then be converted to a glucose value by processing, and finally transmitted or displayed at a mobile terminal or computer terminal. In this case, since the glucose concentration of the interstitial fluid is equal to or strictly corresponding to the plasma glucose in the steady state, and the change speed of the glucose concentration of blood is advanced in a short time after taking high-sugar food or injecting glucose, it is possible to accurately reflect the glucose concentration of the wearer 2, that is, the glucose concentration of the interstitial fluid measured by the glucose monitoring system 1 can have a good correlation with the venous glucose concentration and the fingertip blood glucose concentration, and it is possible to improve the measurement accuracy as a means for assisting glucose monitoring.

In some examples, the sensing module 11 may take any number of time seconds from 0 to 10 seconds as the time interval for obtaining the electrical signal and may take any fraction of time from 1 to 5 minutes as the time interval for processing to convert to a glucose value. In some examples, the sensing module 11 may acquire the glucose concentration at a preset frequency (or preset acquisition frequency). In this case, a plurality of glucose concentrations can be obtained, and an approximately continuous glucose concentration curve can be formed after the smoothing process.

In some examples, the sensing module 11 may continuously monitor glucose concentration for 24 hours by implantation subcutaneously. In some examples, the sensing module 11 may store at least 288 glucose values per day.

In some examples, the sensing module 11 may adjust the preset frequency, e.g., the sensing module 11 may obtain the glucose concentration at a lower preset frequency when the magnitude of the change in the glucose concentration of the wearer 2 is small, and the sensing module 11 may obtain the glucose concentration at a higher preset frequency when the magnitude of the change in the glucose concentration of the wearer 2 is large. In this case, the preset frequency can be adjusted according to the actual situation.

In some examples, the sensing module 11 may also be used to obtain data of glucose concentration in other body fluids of the wearer 2. For example, glucose concentration in urine.

In other examples, the sensing module 11 may detect the glucose concentration of interstitial fluid of the wearer 2 through a sensor assembly that is capable of reacting with glucose. In this case, the glucose monitoring system 1 is able to acquire the data of the glucose concentration of the wearer 2 from the sensing module 11 and can analyze it later, thereby providing the wearer 2 or doctor with corresponding guiding information.

In some examples, the sensing module 11 may be composed of a bioactive substance and microelectrodes. In this case, the bioactive substance can react with glucose, whereby an electrical signal can be formed from the chemical signal on the microelectrode, thereby obtaining data on glucose concentration.

In some examples, the data of the glucose concentration may include a plurality of detection points (i.e., detection time points, determined by the time interval or frequency at which the data of the glucose concentration is acquired by the sensing module 11) and detection times matched with the plurality of detection points, specifically, if the time recorded by the wearer 2 is located at the midpoint of the detection time corresponding to the adjacent two detection points, any one of the adjacent two detection points is taken as a detection point, and if the time recorded by the wearer 2 is not located between the adjacent two detection points or at the midpoint of the corresponding detection time, a detection point closest to the time recorded by the wearer 2 is taken as a detection point. In this case, the glucose monitoring system 1 is able to grasp the data of the glucose concentration of the wearer 2 more accurately to determine the corresponding fluctuation characteristics. For example, at 11:55 and 12:05, respectively, and 11:55 and 12:05 is adjacent detection point, if the actual dining time is 12:00, then 11:55 and 12:05 any one of the corresponding detection points is taken as a dining detection point; if the actual meal time is 12:03, then 12:05 corresponding detection points are used as dining detection points; if the actual meal time is 11:56, then 11: the corresponding check point of 55 is taken as a meal check point.

In some examples, the data of the glucose concentration of the wearer 2 in the sensing module 11 may be sent to a mobile terminal or a computer terminal through the communication module 12 and may be able to describe the glucose condition of the wearer 2 qualitatively and quantitatively by analysis software.

In some examples, the sensing module 11 may be integrated with the communication module 12. In some examples, the communication module 12 may transmit the data of glucose concentration to the processing module 133 wirelessly or by wire. In this case, the wired manner can facilitate the glucose monitoring system 1 to obtain the accuracy of the glucose concentration of the wearer 2, and the wireless manner can facilitate the use of the glucose monitoring system 1 by the wearer 2 to manage glucose.

In some examples, the wireless manner may include at least one of Bluetooth, wifi, 3G/4G/5G, NFC, UWB, and Zig-Bee. In this case, it is possible to facilitate the glucose monitoring system 1 to obtain the glucose concentration of the wearer 2 and to facilitate the use of the glucose monitoring system 1 by the wearer 2 to manage glucose.

FIG. 3 is a block diagram illustrating the structure of the interaction module 131 in the glucose monitoring system 1 according to an example of the present invention; fig. 4 is a schematic diagram of an entry scenario illustrating an entry unit 301 of the interaction module 131 to which the present example relates.

In some examples, the interaction module 131 may be configured to interact with the wearer to obtain interaction results and send the interaction results to the processing module, and the interaction may include: a preset time interval including a night fall time to a morning meal time of the wearer is acquired, and a pre-sleep behavior of the wearer is queried based on a glucose concentration within the preset time interval. In some examples, as shown in fig. 3 and 5, the interaction module 131 may include a display unit 302, and the display unit 302 may be configured to display at least one of guide information, a question of interaction, a glucose concentration profile, and a glucose fluctuation type. In this case, the display unit 302 of the interaction module 131 can intuitively display information such as guide information, interaction problems, glucose concentration curves, glucose fluctuation types, and the like to the wearer 2, so that the wearer 2 can conveniently and well manage glucose according to the guide information, and the like.

In some examples, as shown in fig. 3, the interaction module 131 may further include an entry unit 301. In determining whether the wearer 2 is dawn using the glucose monitoring system 1, the logging unit 301 may be configured to log feedback (e.g. as shown in fig. 4) including the time of getting up, sleeping, dining time in the morning and interaction problems. In this case, the information such as the time to get up, the sleeping time, the meal time in the morning, and the feedback for the interaction problem can be entered by the entry unit 301 of the interaction module 131, and thus, the glucose monitoring system 1 can be more advantageous to analyze the type of glucose fluctuations of the wearer 2.

In some examples, the logging unit 301 may automatically identify sleep time from glucose concentration. In this case, the operations of the wearer 2 can be reduced, and thus the convenience of the glucose monitoring system 1 can be improved.

In some examples, the entry unit 301 may also enter at least one of a food name, a food type, and a serving size of the meal. Wherein the food type may be carbohydrates, fats or proteins. In some examples, the logging unit 301 may also log whether a movement, movement time or movement type was made before and after the meal. For example, the wearer 2 may enter his diet-related information, such as a time of punching a card, a diet menu, etc., in the mobile terminal 13 of the glucose monitoring system 1 through the entry unit 301.

Fig. 5 is a schematic view showing a display scene of the display unit 302 of the interaction module 131 according to an example of the present invention. In some examples, as shown in fig. 5, the display unit 302 may also be configured to display at least one of a guidance information, a glucose concentration curve, and a glucose excursion type. The display unit 302 may also be integrated in the mobile terminal 13, in other words, the display unit 302 may be a display interface of the mobile terminal 13.

In some examples, the interaction module 131 may be configured to query the wearer 2 for pre-sleep behavior of the wearer 2 based on the preliminary determination results and display the queried questions. In this case, by the preliminary determination result and the entry of the pre-sleep behavior of the wearer 2, the processing module 133 can be made to determine the type of glucose excursion of the wearer 2 more accurately.

In some examples, the interaction result may include at least one of sleep time, pre-sleep behavior, and sleep state of the wearer 2 when determining whether the wearer 2 is dawn using the glucose monitoring system 1. In this case, the interaction module 131 obtains information such as sleep time, pre-sleep behavior, sleep state (sleep state, i.e., sleep quality) of the wearer 2, which can be more beneficial to the glucose monitoring system 1 to analyze the glucose excursion type of the wearer 2, thereby better helping the wearer 2 monitor and manage glucose and further improving the life quality of the wearer 2.

In some examples, the wearer 2 may interact with the glucose monitoring system 1 through active or passive inputs. Active input may refer to the wearer 2 interacting with the glucose monitoring system 1 by typing or voice input, or the like. Passive input may refer to interaction with the glucose monitoring system 1 by way of various sensors of the glucose monitoring system 1, such as motion sensors, sleep monitoring devices, glucose monitors, etc., mounted on the wearer 2 or in their living environment.

In some examples, the pre-sleep behavior may include one of medication behavior, eating behavior, motor behavior, or physical and mental state. In some examples, the feeding behavior may include at least one of a feeding time, a food type, and a food serving.

In some examples, the processing module 133 may be configured to obtain a preliminary determination result based on the glucose concentration within a preset time interval (i.e., the night fall asleep time to the morning meal time), and determine whether the dawn phenomenon occurs to the wearer 2 based on the preliminary determination result and the interaction result, and generate the guidance information. In this case, the processing module 133 can more accurately determine whether the glucose excursion type is dawn or not through the preliminary determination result and the interaction result, thereby better letting the wearer 2 manage glucose according to the guide information.

In some examples, the interaction module 131 may be integrated with the processing module 133 in the mobile terminal 13, and the mobile terminal 13 has an application program that cooperates with the interaction module 131 and the processing module 133. In this case, the wearer 2 can conveniently perform glucose management by using the glucose monitoring system 1 through the mobile terminal 13, and the quality of life can be improved.

In some examples, the interaction module 131 and the processing module 133 may also be integrated with other processing devices, such as a desktop computer, a portable computer, or a dedicated terminal, which may be implemented by being an app for a smart phone and software for a computer.

In some examples, the processing module 133 may also be a device that utilizes cloud processing. In this case, the processing module 133 may monitor the glucose concentration of each individual wearer 2 simultaneously.

In some examples, the guideline information may include a glucose wave type, a cause related to the glucose wave type, and a behavioral suggestion. In this case, the wearer 2 can better manage glucose through the guidance information of the glucose monitoring system 1, thereby improving the quality of life. For example, when the type of glucose excursion is dawn, the glucose monitoring system 1 may automatically interpret the cause of the dawn to the wearer 2 by way of displaying text or speech output, and may instruct the wearer 2 to alter pre-sleep behavior (e.g., such as changing medication or exercise, etc.) to prevent continued dawn, help the wearer 2 improve glucose management and reduce psychological stress.

In some examples, as shown in fig. 2, the glucose monitoring system 1 further includes a storage module 132, the storage module 132 configured to store data of glucose concentration. In this case, the glucose monitoring system 1 can record data and interactive information of more glucose concentrations of the wearer 2, and thus, it can be convenient for the glucose monitoring system 1 to better analyze the type of glucose excursion of the wearer 2.

In some examples, the storage module 132 may be provided to the sensing module 11. In this case, the data of the glucose concentration acquired by the sensor module 11 can be temporarily stored in the storage module 132. In some examples, the storage module 132 may be provided to the processing module 133. In this case, the data of the glucose concentration from the sensing module 11 is collected and stored in the storage module 132 for a long period of time. In other words, the storage module 132 may include a first storage module (not shown) integrated with the sensing module 11 and a second storage module (not shown) integrated with the mobile terminal 13, and the first storage module may be used to temporarily store the data of the glucose concentration and transmit the data of the glucose concentration of the first storage module to the second storage module when the communication module 12 is operating normally.

In some examples, the storage module 132 may overwrite old glucose concentration data with new glucose concentration data, which may differ from old glucose concentration data by more than 14 days. In this case, the storage space of the storage module 132 can be fully utilized.

Fig. 6 is a flowchart showing the operation of the glucose monitoring system 1 according to the example of the present invention.

In some examples, as shown in fig. 6, the workflow of the glucose monitoring system 1 (the present embodiment is not limited to the dawn phenomenon, which will be described in detail later) may include: obtaining data of the glucose concentration of the wearer 2 by the sensing module 11 worn on the body of the wearer 2 (step S100); identifying a time interval in which the data of the glucose concentration needs to be analyzed, that is, identifying a preset time interval (step S200); judging the fluctuation type of the data of the glucose concentration corresponding to the preset time interval to obtain a preliminary judgment result (step S300); interacting with the wearer 2 based on the preliminary judgment result (step S400); the outputting of the guide information to the wearer 2 is continued based on the result of the interaction and the interaction may be ended (step S500).

In some examples, in step S100, the data of the glucose concentration of the wearer 2 may be data of a single day or multiple days. In some examples, the data of glucose concentration of wearer 2 may be a curve fitted by data of a plurality of consecutive glucose concentrations of the same day.

In some examples, in step S200, the preset time interval may include a first time interval, a second time interval, a third time interval, and a fourth time interval. The first time interval may be the morning time to the morning meal time of the wearer 2, the second time interval may be the evening sleep time to the morning meal time of the wearer 2, the third time interval may be 2 hours after the meal) to the evening meal start time, and the fourth time interval may be 2 hours after the evening meal to the sleep start time.

In some examples, in step S300, the fluctuation type of the data of the glucose concentration may include a fluctuation type corresponding to a sappan-jetty phenomenon, a dawn phenomenon, a dusk phenomenon, a late dusk phenomenon, or the like.

In other examples, the types of glucose excursions may include common types of excursions, such as postprandial glucose lowering, postprandial glucose first-and-last-glucose-lowering, postprandial glucose excursions normal pre-meal low, postprandial glucose excursions normal pre-meal high, postprandial glucose irregular excursions, night high glucose, night glucose excursions large, night glucose excursions normal, large fluctuation low glucose risk large, fluctuation normal low glucose risk, night glucose irregular excursions, and the like, in addition to dawn phenomenon, sappan-dog phenomenon, dusk phenomenon, and late dusk phenomenon. Such common types may be judged by the glucose monitoring system 1 by corresponding algorithm logic, which is not described here.

In some examples, in step S400, the interaction may include the mobile terminal in the glucose monitoring system 1 asking questions to the wearer 2 and inputting answers to the wearer 2. For example, "you have a high fasting glucose, possibly caused by the XX phenomenon, you have or not … …? "at this time, the wearer 2 may input" there is "or" there is ".

In some examples, in step S500, based on the interaction of step S400, the mobile terminal of the glucose monitoring system 1 may output guideline information, e.g. "you have a high fasting glucose, possibly caused by the XX phenomenon, you have or not … …? At this point, the wearer 2 may input "there" or "no", and if "there" the mobile terminal continues to output "… … causing fasting glucose to rise. "guide information or solution information and can end the interaction.

FIG. 7 is a flowchart illustrating a glucose monitoring system 1 for identifying dawn phenomenon according to an example of the present invention; fig. 8 is a glucose curve showing the type of glucose fluctuation corresponding to dawn phenomenon according to an example of the present invention.

As shown in fig. 7, in some examples, the workflow of the glucose monitoring system 1 for identifying dawn phenomenon may include: obtaining data of the glucose concentration of the wearer 2 by a sensing module worn on the body of the wearer 2 (step S111); identifying a preset time interval, i.e. the time from falling asleep at night to dining time in the morning (step S211); judging whether the fluctuation type of the data of the glucose concentration corresponding to the preset time interval is dawn phenomenon or not based on the judgment logic of the dawn phenomenon fluctuation type (step S311); outputting the interaction information corresponding to dawn phenomenon (step S411); waiting for the wearer 2 to input feedback information (step S511); based on the feedback information of the wearer 2, the guiding information explaining the dawn phenomenon continues to be output and the interaction may be ended (step S611).

In some examples, the preset time interval may include a first time interval and a second time interval. In some examples, the first time interval may be a morning rise time to a morning meal time of the wearer 2, which may be used to identify the fasting maximum glucose concentration of the wearer 2. In some examples, the second time interval may be the evening sleep time to the morning wake time of wearer 2, which may be used to identify the lowest glucose concentration of wearer 2. In this case, by analyzing the glucose concentration of the wearer 2 in the first time zone and the second time zone, it is thereby possible to judge whether or not the type of fluctuation of the glucose of the wearer 2 corresponds to the type of fluctuation of the dawn phenomenon, and to provide the wearer 2 with the corresponding guide information according to the judgment result to help better manage the glucose.

In some examples, the first time interval may be used to analyze whether the glucose of the wearer 2 is low, or is continuously low, or is decreasing and then increasing. In some examples, the second time interval may be used to analyze whether the glucose of the wearer 2 is high during the night. In this case, it can be preliminarily judged whether or not the wearer 2 has dawn phenomenon or other phenomenon that causes an increase in glucose. Thereby it is possible to further judge whether the glucose excursion type of the wearer 2 belongs to the dawn phenomenon or not by the subsequent joint interaction result.

In some examples, at step S111, data of the glucose concentration of the wearer 2 is obtained by a sensing module worn on the wearer 2, the data including a preset time interval of a first time interval, which may be a time to get up in the morning to a time to get up in the morning, and a second time interval, which may be a time to get down in the evening to a time to get up in the morning.

In some examples, at step S211, a preset time interval, sometimes referred to as a night time period, is identified, and the data of the fasting highest glucose concentration may be located in a first time interval (i.e., the time of getting up in the morning to the time of dining in the morning), which may sometimes be referred to as a fasting time period. The data for the lowest glucose concentration may be located in a second time interval (i.e., the time to fall asleep in the evening to get up in the morning), which may sometimes be referred to as a sleep period.

In some examples, the method of identifying the first time interval may be at least one of the following methods, which may include: 1. filling or setting a daily morning rise time to a morning meal time by the wearer 2; 2. the time from the time of getting up in the morning to the time of dining in the morning is checked or recorded by the wearer 2.

In some examples, the method of identifying the second time interval may be at least one of the following methods, which may include: 1. filling in or setting a daily evening fall to morning get-up time by the wearer 2; 2. the time to fall asleep in the evening to the time to get up in the morning is checked or recorded by the wearer 2.

In some examples, in step S411, the interaction information may be inquiry information such as inquiring about the pre-sleep behavior of the wearer 2.

Referring to the graph of glucose excursion type corresponding to dawn phenomenon shown in fig. 8, where T is time, and the dawn phenomenon determining logic or algorithm determines that the dawn phenomenon occurs if the fasting glucose concentration is not less than the first preset value, the lowest glucose concentration is greater than the second preset value, and the difference between the fasting glucose concentration and the lowest glucose concentration is not less than the third preset value. In some examples, specifically may include:

determining whether the highest glucose concentration, i.e., fasting glucose concentration, in the data of the fasting period (i.e., the first time interval) glucose concentration is greater than or equal to a first preset value, which may be, for example, 7mmol/L.

Further, if the fasting glucose concentration is greater than or equal to the first preset value, determining whether the lowest glucose concentration in the data of the glucose concentration in the sleep period (i.e., the second time interval) is greater than a second preset value, which may be, for example, 3.9mmol/L; if the lowest glucose concentration in the data of the glucose concentration in the sleep period is greater than a second preset value, further, judging whether the difference value between the fasting glucose concentration and the lowest glucose concentration in the data of the glucose concentration in the sleep period is greater than or equal to a third preset value, wherein the third preset value can be 3.3mmol/L; further, if the difference between the fasting glucose concentration and the lowest glucose concentration in the data of the glucose concentration during the sleep period is greater than or equal to the third preset value, outputting a preliminary judgment result to the wearer 2 that the dawn phenomenon is possible and interacting with the wearer 2.

Further, the interaction may include the mobile terminal in the glucose monitoring system 1 asking questions to the wearer 2 and inputting answers to the wearer 2. For example, "you have a high fasting glucose, possibly caused by dawn phenomenon, which is seen in almost half of the sugar friends. Your night with or without staying up, insomnia, snack, night after eating? At this time, the wearer 2 may input "have" or "not", and if "have", the mobile terminal continues to output "insomnia, stay up, may affect nocturnal glycemic hormone release, and cause fasting glucose to rise. The night is taken after the dinner at night, the food has a sugar rising time of 3-8 hours or more, and the glucose in the abdomen of the second sky can rise. "guide information or solution information and can end the interaction; if the insulin secretion is insufficient, the fasting glucose may rise, and the dawn phenomenon is caused. "guide information or solution information and can end the interaction; if no input is made, no output is continued.

In other examples, the first preset value, the second preset value, and the third preset value may be set according to the result of clinical verification and the determination order may not be limited, which is not described in detail herein.

While the invention has been described in detail in connection with the drawings and examples thereof, it should be understood that the foregoing description is not intended to limit the invention in any way. Modifications and variations of the invention may be made as desired by those skilled in the art without departing from the true spirit and scope of the invention, and such modifications and variations fall within the scope of the invention.

Claims

1. A glucose monitoring system for identifying dawn phenomenon is characterized by comprising a sensing module, an interaction module, a communication module and a processing module,

the sensing module is configured to continuously monitor a glucose concentration of the wearer;

the communication module is configured to receive the glucose concentration monitored by the sensing module and send the glucose concentration to the processing module;

The interaction module is configured to interact with a wearer to obtain an interaction result and send the interaction result to the processing module, the interaction comprising: acquiring a preset time interval from night sleep time to breakfast time of a wearer, and inquiring pre-sleep behavior of the wearer based on the glucose concentration in the preset time interval;

the processing module is configured to judge whether the glucose fluctuation type of the dawn phenomenon occurs to the wearer or not based on the glucose concentration in the preset time interval and the interaction result, and generate guide information.

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

the preset time interval comprises a first time interval and a second time interval, wherein the first time interval is from the morning getting-up time to the morning dining time of the wearer, and the second time interval is from the evening getting-up time to the morning getting-up time of the wearer.

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

the glucose concentration includes a fasting glucose concentration in the first time interval and a minimum glucose concentration in the second time interval.

4. A glucose monitoring system according to claim 3, wherein:

and if the fasting glucose concentration is not less than a first preset value, the lowest glucose concentration is greater than a second preset value, and the difference between the fasting glucose concentration and the lowest glucose concentration is not less than a third preset value, judging that the wearer is dawn.

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

the interaction result includes at least one of a sleep time, a pre-sleep behavior, and a sleep state of the wearer.

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

the interaction module includes a display unit configured to display at least one of the guidance information, an interaction question, a glucose concentration profile, and the glucose excursion type.

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

the interaction module further comprises an entry unit configured to enter information including a morning time of getting up, a evening time of falling asleep, a morning time of dining, and feedback for the interaction problem.

8. The glucose monitoring system of any one of claims 1-7, wherein:

The interaction module and the processing module are integrated in a mobile terminal, and the mobile terminal is provided with an application program for realizing the functions of the interaction module and the processing module.

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

the processing module is configured to obtain a preliminary judgment result based on the glucose concentration in the preset time interval, judge whether the dawn phenomenon occurs to the wearer based on the preliminary judgment result and the interaction result, and generate the guide information.

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

the interaction module is configured to inquire of the wearer about the pre-sleep behavior of the wearer based on the preliminary determination result, and display the inquired questions.

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

the guideline information includes the glucose excursion type, a cause associated with the glucose excursion type, and a behavioral suggestion.

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

a storage module is also included and configured to store data for the glucose concentration.

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

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

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

the communication module transmits the data of the glucose concentration to the processing module in a wireless mode.

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

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