CN116407122A

CN116407122A - Glucose monitoring system for identifying sappan-jettison phenomenon

Info

Publication number: CN116407122A
Application number: CN202210304679.8A
Authority: CN
Inventors: 洛佩; 何宇星; 彭璨; 陈中钊; 雷启洲; 明瑞彬; 吴家怀; 李健; 黄修良; 陈惠静; 熊望
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; CN116407123A; CN116407120A

Abstract

The invention provides a glucose monitoring system for identifying Caesalpinia sappan, which comprises a sensing module, an interaction module, a communication module and a processing module. Wherein the sensing module is configured to monitor a glucose concentration of the wearer; the communication module is configured to receive the glucose concentration and send 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, and displaying at least one question information based on the glucose concentration to inquire about the sleeping behavior of the wearer; the processing module is configured to judge whether the sappan wood phenomenon occurs to the wearer or not based on the glucose concentration and the interaction result in the preset time interval, and generate the guide information. Therefore, the glucose fluctuation type of the sappan wood Jie phenomenon can be identified, the interpretation of the sappan wood Jie phenomenon can be intelligently output, the monitoring and the management of glucose of diabetics are better facilitated, and the life quality of the diabetics is further improved.

Description

Glucose monitoring system for identifying sappan-jettison phenomenon

Technical Field

The present invention relates generally to intelligent medical treatment, and more particularly to a glucose monitoring system for identifying sappan-jettison 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 interstitial fluid glucose concentration measured by CGMS has good correlation with the venous glucose concentration and the finger glucose concentration, and can be used as an auxiliary glucose monitoring means.

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 sappan wood. 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 not enough to obtain only high and low glucose data and thus display the high and low level of glucose to diabetics, it is also necessary to be able to analyze the data and to explain the type of glucose fluctuation, such as the sappan phenomenon, to the diabetics in order to better assist the diabetics in glucose management.

Disclosure of Invention

The present invention has been made in view of the above-mentioned prior art, and an object of the present invention is to provide a glucose monitoring system for identifying the sappan-jakov phenomenon, which can identify the type of glucose fluctuation of the sappan-jakov phenomenon and intelligently output and interpret the sappan-jakov phenomenon, thereby better helping diabetics monitor and manage glucose and further improving the quality of life of the diabetics.

To this end, the present invention provides a glucose monitoring system for identifying sappan-jettisoning, comprising a sensing module configured to continuously monitor a glucose concentration of a wearer, an interaction module, a communication module, and a processing module; 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 the evening sleeping time to the breakfast time of the wearer, and displaying at least one question information based on the glucose concentration to inquire about the pre-sleeping behavior of the wearer; the processing module is configured to judge whether the wearer has the sappan wood phenomenon 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 the wearer (i.e., a diabetic patient) can be obtained through the sensing module, information interaction can be performed between the glucose monitoring system and the wearer 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 determine whether the wearer is of a glucose fluctuation type of sappan-jeopardy or not based on the glucose concentration and the interaction result, and generate the guide information. Therefore, when the glucose fluctuation of the sappan wood phenomenon occurs to the wearer, the causes of the sappan wood phenomenon can be explained to the wearer, guidance is provided, the diabetic is better helped to monitor and manage the glucose, and the life quality of the diabetic is further improved.

According to the glucose monitoring system of the present invention, optionally, the preset time interval is a time interval preset by the wearer. Under the condition, the wearer can preset a preset time interval from the night sleep time to the breakfast time, so that the accuracy of the glucose monitoring system in judging whether the glucose fluctuation type of the sappan-Jewelry phenomenon occurs or not can be improved, and better personalized experience can be brought to the wearer.

According to the glucose monitoring system according to the present invention, optionally, the preset time interval is a time interval recorded by the wearer in real time. Under the condition, the wearer can record the preset time interval from the night sleeping time to the breakfast time in real time, so that the accuracy of the glucose monitoring system in judging whether the glucose fluctuation type of the sappan-Jewelry phenomenon occurs or not can be improved, and better personalized experience can be brought to the wearer.

According to the glucose monitoring system of the present invention, optionally, the time interval includes a first time interval from a time of getting up in the morning to a time of dining in the morning of the wearer, and a second time interval from a time of getting asleep in the evening to a time of getting up in the morning of the wearer. In this case, the first time interval can be used to obtain the fasting glucose concentration, and the second time interval can be used to obtain the lowest glucose concentration, whereby it can be determined whether the wearer has a glucose excursion type of sappan phenomenon in a subsequent determination step or method.

According to the glucose monitoring system according to the present invention, optionally, the glucose concentration includes a fasting glucose concentration located in the first time interval and a minimum glucose concentration located in the second time interval. In this case, the fasting glucose concentration and the lowest glucose concentration can be used to determine whether the wearer has a glucose excursion type of sappan-jeopardy.

According to the glucose monitoring system of the present invention, optionally, if the fasting glucose concentration is not less than a first preset value and the minimum glucose concentration is not greater than a second preset value, it is determined that the wearer has a sappan-jack phenomenon; and if the fasting glucose concentration is smaller than a first preset value and the lowest glucose concentration is larger than a second preset value, judging that the sappan wood phenomenon does not occur to the wearer. In this case, whether the glucose excursion type of the sappan-like phenomenon occurs can be judged by whether the fasting glucose concentration of the wearer in the first time interval and the lowest glucose concentration of the wearer in the second time interval are greater than the respective corresponding preset values.

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

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 problem of interaction, 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 feedback including the time to get up in the morning, the time to fall asleep in the evening, the time to eat in the morning and the question of interaction. Under the condition, the information such as the time to get up, the sleeping time, the dining time in the morning, the feedback aiming at the interaction problem and the like can be recorded by the recording unit of the interaction module, so that the glucose monitoring system can be more beneficial to analyzing whether the glucose fluctuation type of the sappan-Jie phenomenon occurs to the wearer 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 matched with 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 glucose fluctuation of the sappan-jettison phenomenon occurs on the basis of the preliminary judgment result and the interaction result, and generate the guiding information. In this case, the processing module can determine whether the glucose excursion type is one of the phenomenon such as sappan-jie phenomenon and dawn phenomenon through the preliminary determination result and the interaction result, thereby better enabling the wearer to manage glucose according to the guide information.

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 a glucose excursion type, a cause related to the glucose excursion type, and a behavior suggestion according to the glucose monitoring system according to the present invention. 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 glucose monitoring system for identifying the sappan wood Jie phenomenon, the glucose fluctuation type of the sappan wood Jie phenomenon can be identified, the sappan wood Jie phenomenon can be intelligently output and interpreted, the monitoring and management of glucose by diabetics are better facilitated, and the life quality of the diabetics is further improved.

Drawings

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

Fig. 2 is a system block diagram of a glucose monitoring system according to an embodiment of the present invention.

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

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

Fig. 5 is a diagram showing scene intents displayed by a display unit of an interactive module according to an embodiment of the present invention.

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

Fig. 7 is a flowchart of a glucose monitoring system for identifying sappan-jettison phenomenon according to an embodiment of the present invention.

FIG. 8 is a graph showing glucose excursions corresponding to Caesalpinia phenomenon according to an embodiment 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 Sunji phenomenon glucose fluctuation type to a non-professional diabetic, the monitoring glucose and the glucose management of the diabetic can be better helped, and the life quality of the diabetic is further improved. In view of the deficiencies in the prior art, it is particularly important to provide a glucose monitoring system for identifying the type of glucose fluctuations of the sappan-jakov phenomenon and intelligently outputting an interpretation of the sappan-jav phenomenon. Therefore, the glucose monitoring system for identifying the sappan wood Jie phenomenon can identify the glucose fluctuation type of the sappan wood Jie phenomenon and intelligently output and explain the sappan wood Jie phenomenon, so that a diabetic patient can be better helped to monitor and manage glucose, and the life quality of the diabetic patient is further improved.

The "sappan wood phenomenon" (Somogyi phenomenon) referred to in the present invention means a phenomenon that diabetics have low glucose at night and high glucose before breakfast. The "sappan wood" phenomenon is characterized by a low glucose at night, a high glucose before breakfast, and simply, a "low post high" phenomenon. It is mainly characterized by that after the oral hypoglycemic agent or insulin is used excessively, it can result in night low glucose reaction, and for self-protection, the secretion of hormone (such as glucagon, growth hormone and cortisol) with glucose-raising action can be raised, so that the rebound of glucose can be raised. 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 sappan wood phenomenon, such as dawn phenomenon, dusk phenomenon, late dusk phenomenon, and the like. In other words, other types of glucose excursion besides sappan-jie phenomenon, such as dawn 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 identifying sappan-jakobs phenomenon may be sometimes referred to as a glucose monitoring system, a monitoring system or a system, and unless otherwise defined, the foregoing names appearing herein may be interpreted as the glucose monitoring system for identifying sappan-jakobs phenomenon according to the present invention.

Fig. 1 is a view showing an application scenario of a glucose monitoring system 1 according to an embodiment of the present invention; fig. 2 is a system block diagram showing a glucose monitoring system 1 according to an embodiment of the present invention.

In some examples, the glucose monitoring system 1 may include: the sensing module 11, the interaction module 131, the communication module 12 and the processing module 133, the sensing module 11 being 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 the evening sleep time to the breakfast time of the wearer 2, and displaying at least one question information based on the glucose concentration to inquire about the pre-sleep behavior of the wearer 2; the processing module 133 is configured to determine whether the sappan wood phenomenon occurs to the wearer 2 based on the glucose concentration and the interaction result in the preset time interval, and generate the guide information.

In this case, the glucose data of the wearer 2 (for example, a diabetic patient) can be obtained by the sensing module 11, the glucose monitoring system 1 and the wearer 2 can be information-interacted by the interaction module 131 to obtain an interaction result, the glucose concentration is transmitted to the processing module 133 by the communication module 12, and the processing module 133 can determine whether the wearer 2 is of the glucose excursion type of the sappan-je phenomenon based on the glucose concentration and the interaction result, and generate the guidance information. Therefore, when the glucose fluctuation type of the sappan wood phenomenon occurs to the wearer 2, the causes of the sappan wood phenomenon can be explained to the wearer 2, guidance is provided, the diabetic can be better helped to monitor and manage glucose, and the life quality of the diabetic can be further improved.

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 a time interval or frequency at which the sensing module 11 acquires the data of the glucose concentration) and detection times matched to the plurality of detection points, specifically, for example: if the time recorded by the wearer 2 is located at the midpoint of the detection time corresponding to the two adjacent detection points, any one detection point among the two adjacent detection points is used as the detection point, and if the time recorded by the wearer 2 is not located between the two adjacent detection points or at the midpoint of the corresponding detection time, the detection point closest to the time recorded by the wearer 2 is used as the 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.

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 the evening sleep time to the morning meal time of the wearer is acquired and the pre-sleep behavior of the wearer is queried based on the 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 has a sappan-jettison phenomenon with the glucose monitoring system 1, the logging unit 301 may be configured to log feedback (e.g., what is shown in fig. 4) including the time of getting up, sleeping, dining time in the morning, and interaction issues. 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 sappan phenomenon occurs to the wearer 2 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 evening sleep 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 the sappan wood phenomenon 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 sappan, the glucose monitoring system 1 may automatically explain the etiology of sappan to the wearer 2 by displaying text or speech output, and may instruct the wearer 2 to alter pre-sleep behavior (e.g., such as altering medication or exercise, etc.) to prevent the sappan from continuing, helping 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 embodiment of the present invention.

In some examples, as shown in fig. 6, the workflow of the glucose monitoring system (the present embodiment is not limited to the sappan phenomenon, which is 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 meal noon) to the evening meal start time, and the fourth time interval may be 2 hours after 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 no ".

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 showing a glucose monitoring system for identifying sappan-jettisoning in accordance with an embodiment of the present invention; fig. 8 is a graph showing glucose excursions corresponding to the sappan jie phenomenon according to the embodiment of the present invention.

As shown in fig. 7, in some examples, the workflow of the glucose monitoring system for identifying sappan-jackphenomenon may include: obtaining data of glucose concentration of the wearer at night through a sensing module worn on the wearer (step S101); identifying a preset time interval, i.e. a time to fall asleep at night to a dining time in the morning (step S201); judging whether the fluctuation type of the data of the glucose concentration corresponding to the preset time interval is the sappan-jettison phenomenon or not based on the judgment logic of the sappan-jettison phenomenon fluctuation type (step S301); outputting interaction information corresponding to the Caesalpinia sappan phenomenon (step S401); waiting for the wearer to input feedback information (step S501); based on the feedback information of the wearer, the guidance information explaining the sappan-jettison phenomenon is continuously output and the interaction may be ended (step S601).

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 a evening fall asleep time to a morning get-up 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 glucose excursion type of the wearer 2 corresponds to the excursion type of the sappan phenomenon, and to provide the wearer 2 with the corresponding guide information according to the judgment result to help better manage 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 a sappan-jettison phenomenon or other phenomenon that causes an increase in glucose. Therefore, whether the glucose fluctuation type of the wearer 2 belongs to the sappan wood phenomenon can be further judged according to the subsequent combined interaction result.

In some examples, at step S101, 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 asleep in the evening to a time to get up in the morning.

In some examples, at step S201, 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 evening fall asleep time to the morning get-up time), 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 time to fall asleep every night to a time to get up in the morning 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 S401, the interaction information may be inquiry information such as inquiring about the pre-sleep behavior of the wearer 2.

Referring to the glucose excursion curve corresponding to the sappan-jie phenomenon shown in fig. 8, the judgment logic or algorithm of the sappan-jie phenomenon may be: if the fasting glucose concentration is not less than the first preset value and the lowest glucose concentration is not greater than the second preset value, judging that the sappan wood phenomenon occurs to the wearer; if the fasting glucose concentration is less than the first preset value and the lowest glucose concentration is greater than the second preset value, the wearer is judged not to have the sappan-jettison phenomenon. In some examples, specifically may include:

determining whether the highest glucose concentration in the fasting period (i.e., the first time interval) glucose concentration data, i.e., the fasting 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 and the lowest glucose concentration in the data of the glucose concentration during the night period (i.e., the second time interval) is less than or equal to the second preset value, the second preset value may be, for example, 3.9mmol/L, the preliminary determination result is "sappan jie possible" and the user is interacted with.

Further, the interaction may include the mobile terminal in the glucose monitoring system asking questions to the wearer and entering answers to the wearer. For example, "you have a high fasting glucose, which may be caused by sappan wood. Does you know by oneself at night when low glucose is there is no snack? At this time, the wearer may input "have a snack" or "no snack", and if "have a snack", the mobile terminal continues to output "you have a snack with high glucose and the amount of snack is greater when the midnight low glucose is considered. When the glucose is low at night, the food is suitable for correcting low glucose by taking food with fast glucose rise, such as 10-12 g glucose slices, or 100-120ml cola, and taking food with slow glucose rise, such as milk, egg and nut, so as to prevent low glucose in early morning. "guide or answer information and can end the interaction; if "no food is added", the mobile terminal continues to output "you are considered to be caused by the sappan wood phenomenon. The sappan wood phenomenon is due to low glucose occurring in the middle of the night, and the body is to protect itself. The glucose-raising hormone can be generated to raise glucose, prevent serious low glucose, and if the glucose-raising hormone is excessively generated, rebound fasting high glucose can be caused. "guide information or solution information and can end the interaction; if no input is made, no output is continued.

In some examples, the first preset value is set with a standard of clinical guidelines of a second preset value, for example, the first preset value may be set to any one of 5 to 7.8mmol/L, and the second preset value may be set to any one of 2.9 to 4.9 mmol/L. In some examples, the foregoing determination order of the respective preset values may not be limited.

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 Caesalpinia sappan 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 the evening sleeping time to the breakfast time of the wearer, and displaying at least one question information based on the glucose concentration to inquire about the pre-sleeping behavior of the wearer;

the processing module is configured to judge whether the wearer has the sappan wood phenomenon 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 is a time interval preset by a wearer.

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

the preset time interval is a time interval recorded by a wearer in real time.

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

the 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.

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

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

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

if the fasting glucose concentration is not less than a first preset value and the lowest glucose concentration is not greater than a second preset value, judging that the sappan wood phenomenon occurs to the wearer;

and if the fasting glucose concentration is smaller than a first preset value and the lowest glucose concentration is larger than a second preset value, judging that the sappan wood phenomenon does not occur to the wearer.

7. 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.

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

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

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

the interaction module further comprises an entry unit configured to enter information including a time to get up in the morning, a time to fall asleep in the evening, a time to eat in the morning, and feedback on the problem of interaction.

10. The glucose monitoring system of any of claims 1, 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.

11. 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 glucose fluctuation of the sappan wood phenomenon occurs to the wearer based on the preliminary judgment result and the interaction result, and generate guide information.

12. The glucose monitoring system of claim 11, 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.

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

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

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

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

15. 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.

16. 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.

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

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