CN117770806A - Blood glucose monitoring method - Google Patents
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- CN117770806A CN117770806A CN202311705127.9A CN202311705127A CN117770806A CN 117770806 A CN117770806 A CN 117770806A CN 202311705127 A CN202311705127 A CN 202311705127A CN 117770806 A CN117770806 A CN 117770806A
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Abstract
The invention discloses a blood glucose monitoring method, and belongs to the field of health monitoring. And (3) performing comparative analysis according to the blood glucose concentration detected by the minimally invasive tool and various physiological data monitored by the noninvasive blood glucose monitoring equipment, and establishing a personalized user blood glucose data model. In addition, the model is updated by obtaining accurate blood glucose data in an invasive way at regular intervals; the human body continuously monitors all physiological data of the human body only through the noninvasive blood glucose monitoring equipment, and then the blood glucose concentration is calculated from all physiological data according to the personalized user blood glucose data model. The method can avoid being influenced by other physiological indexes except the blood sugar of the human body, and obtain accurate blood sugar data; in addition, a personalized user blood sugar data model is built based on the self difference of each person, and updated according to the needs, so that the blood sugar data model is more in line with the trend of human body change, and the blood sugar data monitored in real time has more accurate comparison basis.
Description
Technical Field
The invention relates to the technical field of health monitoring, in particular to a blood glucose monitoring method.
Background
With the significant decrease in the labor intensity and the change in eating habits of modern humans, the incidence of diabetes mellitus is rapidly rising, and the influence caused by diabetes mellitus and complications thereof has become one of the serious public health problems to be faced by all countries in the world. The IDF world diabetes report indicates that the number of diabetics is enormous, and the number of diabetics increases from 1.08 to 5.37 million in 1980 to 2021. Most diabetics are not diagnosed in time and cannot be treated effectively as soon as possible. Diabetic complications are extremely harmful to patients, cardiovascular disease is the main disabling and lethal cause of type 2 diabetes, and brings about a heavy economic burden to individuals and families of patients.
Blood glucose monitoring is a key component in people's daily lives because blood glucose levels can directly reflect impaired islet function in humans. Because the blood sugar level of the human body is constantly changing, the blood sugar level needs to be closely monitored in real time so as to know the condition of the patient at any time.
The existing novel blood glucose monitoring method is that a plurality of visible light and infrared light sources with different frequency spectrums and a plurality of PDs (photodiodes) are arranged on a wearable device, the PDs receive a plurality of light source signals with different frequencies irradiated by the light sources to the skin and convert the light source signals into electric signals, and then the electric signals are processed and analyzed to obtain the blood glucose values of a human body in the later period and uploaded to a client for storage. However, the monitoring of the blood sugar of a human body only by an optical detection mode often has a relatively large problem: is influenced by other physiological indexes of human bodies such as blood fat, blood pressure and the like, and each individual has larger difference; and the person-to-person difference makes it difficult to obtain accurate blood glucose values using uniform algorithms or parameters.
Disclosure of Invention
The invention aims to provide a blood sugar monitoring method for solving the problems in the background technology.
In order to solve the technical problems, the invention provides a blood glucose monitoring method, which comprises the following steps:
using a minimally invasive tool to periodically detect the blood glucose concentration of a human body;
the human body monitors various physiological data including blood sugar concentration in real time by wearing noninvasive blood sugar monitoring equipment;
according to the blood glucose concentration detected by the minimally invasive tool and various physiological data monitored by the noninvasive blood glucose monitoring equipment, performing comparative analysis, and establishing a personalized user blood glucose data model;
the human body continuously monitors the blood glucose concentration and other physiological data of the human body only through the noninvasive blood glucose monitoring equipment, and the blood glucose concentration is calculated from the physiological data according to the personalized user blood glucose data model.
In one implementation, the blood glucose monitoring method further comprises:
blood collection is carried out in an invasive way;
analyzing the collected blood by using an instrument to obtain an accurate blood glucose value;
the accurate blood glucose value is combined with the blood glucose concentration detected by the minimally invasive tool and various physiological data monitored by the non-invasive blood glucose monitoring equipment to obtain a more accurate personalized user blood glucose data model.
In one implementation, when a human body continuously monitors various physiological data of the human body only through the noninvasive blood glucose monitoring device, the noninvasive blood glucose monitoring device sends out an alarm, or the noninvasive blood glucose monitoring device notifies a client to send out an alarm, or both the noninvasive blood glucose monitoring device and the client send out an alarm when the deviation between the obtained blood glucose concentration and the blood glucose concentration threshold exceeds a preset value.
In one implementation, the blood glucose concentration threshold is a medically defined euglycemic range value, or a user-defined blood glucose range value; in default mode, a medically defined euglycemic range value is used.
In an implementation manner, after the human body continuously monitors each item of physiological data of the human body only through the noninvasive blood glucose monitoring device, the blood glucose monitoring method further comprises:
according to actual situation needs, accurate blood glucose values are obtained through invasive blood sampling, instrument analysis and manual input, data are supplemented to the generated personalized user blood glucose data model, and the personalized user blood glucose data model is calibrated and fine-adjusted irregularly for a long time.
In an implementation manner, the blood glucose concentration detected by the minimally invasive tool, various physiological data including the blood glucose concentration monitored by the non-invasive blood glucose monitoring device and the accurate blood glucose value obtained by the analysis of the instrument are all transmitted to a bound client, the client is communicated with a cloud, and the manual re-operation client manually uploads the blood glucose concentration, various physiological data and the accurate blood glucose value to the cloud corresponding to the client; or the client side immediately or periodically automatically uploads and updates the blood glucose concentration, various physiological data and accurate blood glucose values to the corresponding cloud end of the client side after receiving the blood glucose concentration, various physiological data and accurate blood glucose values;
or,
the blood glucose concentration detected by the minimally invasive tool, various physiological data including the blood glucose concentration monitored by the non-invasive blood glucose monitoring equipment and the accurate blood glucose value obtained by the analysis of the instrument are transmitted to a bound cloud end, and the blood glucose concentration, various physiological data and the accurate blood glucose value are manually downloaded from the cloud end to a corresponding client end by a manual re-operation client end; or, the cloud terminal immediately or periodically automatically downloads the blood glucose concentration, each item of physiological data and the accurate blood glucose value to the corresponding client terminal of the cloud terminal.
In an implementation manner, after the client/cloud receives the blood glucose concentration and various physiological data, a personalized user blood glucose data model is built at the client/cloud, and then the personalized user blood glucose data model is manually downloaded from the client/cloud to the noninvasive blood glucose monitoring device;
or after the client/cloud establishes the personalized user blood glucose data model, the personalized user blood glucose data model is automatically downloaded to the noninvasive blood glucose monitoring device immediately or regularly.
In an implementation manner, after the client/cloud obtains the blood glucose concentration and each physiological data, a personalized user blood glucose data model is obtained through a neural network or an AI analysis method; including but not limited to convolutional neural network CNN, cyclic neural network RNN, and attention mechanism fransformer.
In an implementation manner, the blood glucose concentration of the human body obtained by the minimally invasive tool and each item of physiological data obtained by the non-invasive blood glucose monitoring equipment are provided with a time stamp, and each item of data has a corresponding time point; and (3) comprehensively analyzing and comparing each item of physiological data monitored by the noninvasive blood glucose monitoring equipment with the data obtained by the minimally invasive tool and the invasive mode, establishing a more accurate personalized blood glucose model, downloading the more accurate personalized blood glucose model to the noninvasive blood glucose monitoring equipment, and generating more accurate blood glucose monitoring data at the noninvasive blood glucose monitoring equipment and/or a client and/or a cloud.
In one implementation, the wireless transmission mode between the minimally invasive tool and the client is a communication mode applicable to long distance or short distance including but not limited to bluetooth, wiIFi and ZigBee;
the wireless transmission mode between the minimally invasive tool and the cloud end and the wireless transmission mode between the client end and the cloud end are communication modes which are applicable to long distances and include, but are not limited to, wiFi, zigBee, GPRS, NB-IOT and LoRa.
In one implementation manner, the wireless transmission manner between the noninvasive blood glucose monitoring device and the client is a communication manner applicable to long distance or short distance including but not limited to Bluetooth, wiFi and ZigBee;
the wireless transmission mode between the noninvasive blood glucose monitoring device and the cloud end and the wireless transmission mode between the client end and the cloud end are communication modes which are applicable to long distances and include, but are not limited to, wiFi, zigBee, GPRS, NB-IOT and LoRa.
In one achievable embodiment, the physiological data is obtained by a non-invasive blood glucose monitoring device optically, electrically and other non-invasive means.
In one implementation manner, the client is a device with the functions of receiving, sending and storing data, including but not limited to a mobile phone, a tablet computer and a computer.
In one implementation, the noninvasive blood glucose monitoring device comprises a wearable device, particularly including but not limited to a wristwatch, a bracelet, a finger ring, and an intelligent electronic device.
According to the blood glucose monitoring method provided by the invention, the blood glucose concentration detected by the minimally invasive tool is compared and analyzed with various physiological data monitored by the noninvasive blood glucose monitoring equipment, and a personalized user blood glucose data model is established. In addition, the model is updated by obtaining accurate blood glucose data in an invasive way at regular intervals; the human body continuously monitors all physiological data of the human body only through the noninvasive blood glucose monitoring equipment, and then the blood glucose concentration is calculated from all physiological data according to the personalized user blood glucose data model. The invention can obtain an accurate personalized user blood sugar data model aiming at individuals, supplement data for the generated user model, and irregularly calibrate and finely tune the model of the user, so that the model is more accurate, accords with the trend of human body change, and is prevented from being influenced by other physiological indexes; in addition, it is also possible to determine whether there is a risk of physical health by monitoring the blood glucose concentration.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a blood glucose monitoring method provided by the invention.
Fig. 2 is a schematic view of a human body using a minimally invasive tool.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
The invention provides a blood sugar monitoring method, the flow of which is shown in figure 1, comprising the following steps:
step S10, using a minimally invasive tool to periodically detect the blood glucose concentration of a human body;
step S20, the human body monitors various physiological data including blood glucose concentration in real time by wearing noninvasive blood glucose monitoring equipment;
step S30, performing comparative analysis according to the blood glucose concentration detected by the minimally invasive tool and various physiological data monitored by the noninvasive blood glucose monitoring equipment, and establishing a personalized user blood glucose data model;
step S40, the human body continuously monitors the blood glucose concentration and other physiological data of the human body only through the noninvasive blood glucose monitoring equipment, and the blood glucose concentration is calculated from the physiological data according to the personalized user blood glucose data model.
The human body can wear minimally invasive tools, such as microneedles, and the like, to wear the minimally invasive tools on arms, legs or other suitable parts; minimally invasive tools are typically worn on the arm, as shown in fig. 2. Those skilled in the art understand that existing minimally invasive tools have built-in blood glucose concentration detection sensors to obtain blood glucose concentration in a minimally invasive or invasive manner.
The human body monitors various physiological data including blood sugar concentration in real time by wearing the noninvasive blood sugar monitoring equipment, and according to the blood sugar concentration detected by the minimally invasive tool and various physiological data monitored by the noninvasive blood sugar monitoring equipment, a personalized user blood sugar data model capable of calculating blood sugar value from the original various physiological data is established. During the generation of the personalized user blood sugar data model, blood can be collected in a specific time point through a manual operation invasive mode such as needle insertion, and then the blood is analyzed by an analysis instrument to obtain an accurate blood sugar value, and is manually input and stored in a client; the accurate blood glucose data is obtained through blood sampling and instrument analysis in the invasive mode and is fed into the client, and the blood glucose concentration detected by the minimally invasive tool and various physiological data monitored by the noninvasive blood glucose monitoring equipment are combined, so that the generated personalized user blood glucose data model is more accurate; wherein the physiological data is obtained optically, electrically and other non-invasively.
After the personalized user blood sugar data model is generated, each physiological data of the human body including blood sugar concentration can be continuously monitored only by means of the noninvasive blood sugar monitoring equipment, and the blood sugar concentration can be calculated from each physiological data according to the personalized user blood sugar data model. When the deviation between the obtained blood glucose concentration and the blood glucose concentration threshold value is large, the noninvasive blood glucose monitoring device gives an alarm, or the noninvasive blood glucose monitoring device informs a client to give an alarm to remind a user that the blood glucose concentration value is too high or too low, and a certain risk exists. The blood sugar concentration threshold is a blood sugar normal range value defined by medicine, and can also be a blood sugar range value defined by a user; in default mode, a medically defined euglycemic range value is used.
The blood glucose concentration obtained by the minimally invasive tool and each physiological data obtained by the noninvasive blood glucose monitoring equipment are provided with a time stamp, and each data has a corresponding time point; and (3) comprehensively analyzing and comparing each item of physiological data monitored by the noninvasive blood glucose monitoring equipment with blood glucose concentration obtained by a minimally invasive tool and an invasive mode, establishing a more accurate personalized blood glucose model, downloading the more accurate personalized blood glucose model to the noninvasive blood glucose monitoring equipment, and generating more accurate blood glucose monitoring data at the noninvasive blood glucose monitoring equipment and/or a client and/or a cloud.
In the first implementation manner, the blood glucose concentration detected by the minimally invasive tool, various physiological data including the blood glucose concentration monitored by the noninvasive blood glucose monitoring device and the accurate blood glucose value obtained by instrument analysis are transmitted to the bound client, and the manual re-operation client manually uploads the blood glucose concentration, various physiological data and the accurate blood glucose value to the cloud end corresponding to the client; or the client side immediately or periodically automatically uploads and updates the blood glucose concentration, various physiological data and accurate blood glucose values to the corresponding cloud end of the client side after receiving the blood glucose concentration, various physiological data and accurate blood glucose values;
in a second implementation manner, the blood glucose concentration detected by the minimally invasive tool, various physiological data including the blood glucose concentration monitored by the non-invasive blood glucose monitoring device and the accurate blood glucose value obtained by instrument analysis are transmitted to a bound cloud end, and the manual re-operation client manually downloads the blood glucose concentration, various physiological data and the accurate blood glucose value from the cloud end to the corresponding client end; or the cloud terminal immediately or periodically automatically downloads the blood glucose concentration, various physiological data and accurate blood glucose values to corresponding clients of the cloud terminal after receiving the blood glucose concentration, various physiological data and accurate blood glucose values.
After the client or the cloud receives the blood glucose concentration and various physiological data, a personalized user blood glucose data model can be established at the client or the cloud, and then the personalized user blood glucose data model is manually downloaded from the client or the cloud to corresponding noninvasive blood glucose monitoring equipment; or after the personalized user blood sugar data model is established at the client or the cloud, the personalized user blood sugar data model is automatically downloaded to the corresponding noninvasive blood sugar monitoring equipment immediately or regularly, so that the noninvasive blood sugar monitoring equipment can be separated from the client and the cloud to directly generate blood sugar values.
After the client or the cloud acquires the blood glucose concentration and various physiological data, a personalized user blood glucose data model is obtained through a neural network or an AI analysis method; including convolutional neural network CNN, cyclic neural network RNN, and attention mechanism fransformer, or other modeling capable network.
The wireless transmission between the minimally invasive tool and the client can be Bluetooth, wiFi, zigBee or other communication modes suitable for long distance or short distance; the wireless transmission between the minimally invasive tool and the cloud end and the wireless transmission between the client end and the cloud end can be WiFi, zigBee, GPRS, NB-IOT, loRa or other communication modes suitable for long distances.
The wireless transmission between the noninvasive blood glucose monitoring device and the client can be Bluetooth, wiFi, zigBee or other communication modes suitable for long distance or short distance as the same as the minimally invasive tool; the wireless transmission between the noninvasive blood glucose monitoring device and the cloud end and the wireless transmission between the client end and the cloud end can be WiFi, zigBee, GPRS, NB-IOT, loRa or other communication modes applicable to long distances.
The client may be any device capable of receiving, transmitting and storing data, such as a mobile phone, a tablet, a computer, etc.
The noninvasive blood glucose monitoring device can be wearable devices worn by a human body, namely intelligent electronic devices such as watches, bracelets, finger rings and the like, and the principles of the noninvasive blood glucose monitoring devices are basically similar. Once the wearing equipment is worn by a human body, the wearing equipment can monitor various physiological data including blood sugar in real time, and the output physiological data are provided with time stamps.
After the wearable device monitors for a certain time, accurate blood sugar values can be obtained in a later stage according to the need through manual operation modes such as invasive blood sampling, instrument analysis, manual input and the like, data are supplemented to the generated user model, and the model of the user is continuously and irregularly calibrated and finely adjusted, so that the model is more accurate and accords with the trend of human body change.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples represent only a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (14)
1. A method of monitoring blood glucose comprising:
using a minimally invasive tool to periodically detect the blood glucose concentration of a human body;
the human body monitors various physiological data including blood sugar concentration in real time by wearing noninvasive blood sugar monitoring equipment;
according to the blood glucose concentration detected by the minimally invasive tool and various physiological data monitored by the noninvasive blood glucose monitoring equipment, performing comparative analysis, and establishing a personalized user blood glucose data model;
the human body continuously monitors the blood sugar concentration and other physiological data of the human body only through the noninvasive blood sugar monitoring equipment, and the blood sugar concentration is calculated from the physiological data according to the personalized user blood sugar data model.
2. The blood glucose monitoring method of claim 1, wherein the blood glucose monitoring method further comprises:
blood collection is carried out in an invasive way;
analyzing the collected blood by using an instrument to obtain an accurate blood glucose value;
the accurate blood glucose value is combined with the blood glucose concentration detected by the minimally invasive tool and various physiological data monitored by the non-invasive blood glucose monitoring equipment to obtain a more accurate personalized user blood glucose data model.
3. The blood glucose monitoring method of claim 1, wherein when the human body continuously monitors the physiological data of the human body only through the non-invasive blood glucose monitoring apparatus, the non-invasive blood glucose monitoring apparatus issues an alarm, or the non-invasive blood glucose monitoring apparatus notifies the client to issue an alarm, or both the non-invasive blood glucose monitoring apparatus and the client issue an alarm when the obtained blood glucose concentration deviates from the blood glucose concentration threshold by more than a preset value.
4. The method of claim 3, wherein the blood glucose concentration threshold is a medically defined euglycemic range value or a user-defined blood glucose range value; in default mode, a medically defined euglycemic range value is used.
5. The blood glucose monitoring method according to claim 1 or 2, wherein after the human body continuously monitors the physiological data of the human body only by the noninvasive blood glucose monitoring apparatus, the blood glucose monitoring method further comprises:
according to actual situation needs, accurate blood glucose values are obtained through invasive blood sampling, instrument analysis and manual input, data are supplemented to the generated personalized user blood glucose data model, and the personalized user blood glucose data model is calibrated and fine-adjusted irregularly for a long time.
6. The blood glucose monitoring method according to claim 2, wherein the blood glucose concentration detected by the minimally invasive tool, various physiological data including the blood glucose concentration monitored by the non-invasive blood glucose monitoring device, and the accurate blood glucose value obtained by the instrument analysis are all transmitted to a bound client, the client is communicated with a cloud, and the manual re-operation client manually uploads the blood glucose concentration, various physiological data, and the accurate blood glucose value to the cloud corresponding to the client; or the client side immediately or periodically automatically uploads and updates the blood glucose concentration, various physiological data and accurate blood glucose values to the corresponding cloud end of the client side after receiving the blood glucose concentration, various physiological data and accurate blood glucose values;
or,
the blood glucose concentration detected by the minimally invasive tool, various physiological data including the blood glucose concentration monitored by the non-invasive blood glucose monitoring equipment and the accurate blood glucose value obtained by the analysis of the instrument are transmitted to a bound cloud end, and the blood glucose concentration, various physiological data and the accurate blood glucose value are manually downloaded from the cloud end to a corresponding client end by a manual re-operation client end; or, the cloud terminal immediately or periodically automatically downloads the blood glucose concentration, each item of physiological data and the accurate blood glucose value to the corresponding client terminal of the cloud terminal.
7. The method for monitoring blood glucose according to claim 6, wherein after the client/cloud receives the blood glucose concentration and each physiological data, a personalized user blood glucose data model is built in the client/cloud, and the personalized user blood glucose data model is manually downloaded from the client/cloud to the noninvasive blood glucose monitoring device;
or after the client/cloud establishes the personalized user blood glucose data model, the personalized user blood glucose data model is automatically downloaded to the noninvasive blood glucose monitoring device immediately or regularly.
8. The method for monitoring blood glucose according to claim 7, wherein the client/cloud obtains a personalized user blood glucose data model through a neural network or an AI analysis method after obtaining blood glucose concentration and various physiological data; including but not limited to convolutional neural network CNN, cyclic neural network RNN, and attention mechanism fransformer.
9. The blood glucose monitoring method of claim 2, wherein the human blood glucose concentration obtained by the minimally invasive tool and each item of physiological data obtained by the non-invasive blood glucose monitoring apparatus are both time stamped, each item of data having a respective corresponding point in time; and (3) comprehensively analyzing and comparing each item of physiological data monitored by the noninvasive blood glucose monitoring equipment with the data obtained by the minimally invasive tool and the invasive mode, establishing a more accurate personalized blood glucose model, downloading the more accurate personalized blood glucose model to the noninvasive blood glucose monitoring equipment, and generating more accurate blood glucose monitoring data at the noninvasive blood glucose monitoring equipment and/or a client and/or a cloud.
10. The method of claim 6, wherein the wireless transmission between the minimally invasive tool and the client is a communication method applicable to long distance or short distance including but not limited to bluetooth, wiIFi, zigBee;
the wireless transmission mode between the minimally invasive tool and the cloud end and the wireless transmission mode between the client end and the cloud end are communication modes which are applicable to long distances and include, but are not limited to, wiFi, zigBee, GPRS, NB-IOT and LoRa.
11. The method for monitoring blood glucose according to claim 6, wherein the wireless transmission mode between the noninvasive blood glucose monitoring device and the client is a communication mode applicable to long distance or short distance including but not limited to bluetooth, wiFi, zigBee;
the wireless transmission mode between the noninvasive blood glucose monitoring device and the cloud end and the wireless transmission mode between the client end and the cloud end are communication modes which are applicable to long distances and include, but are not limited to, wiFi, zigBee, GPRS, NB-IOT and LoRa.
12. The blood glucose monitoring method of claim 1, wherein the physiological data is obtained by a non-invasive blood glucose monitoring device optically, electrically, and other non-invasive means.
13. A method of monitoring blood glucose as claimed in claim 3, wherein the client is a device with data receiving, transmitting and storing functions including but not limited to a mobile phone, a tablet, a computer.
14. The blood glucose monitoring method of any one of claims 1 to 13, wherein the non-invasive blood glucose monitoring device comprises a wearable device, in particular an intelligent electronic device including but not limited to a watch, a bracelet, a finger ring.
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| CN202311705127.9A CN117770806A (en) | 2023-12-13 | 2023-12-13 | Blood glucose monitoring method |
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