CN218792247U - Diabetes dynamic supervision system - Google Patents

Abstract

The embodiment of the utility model provides a diabetes dynamic supervision system, which comprises a server end, a plurality of wearable detection devices and a plurality of first user ends, wherein the wearable detection devices are associated with the server end; the wearable detection equipment detects physiological data of various physiological items of the first user in real time, the server side calculates parameters and parameter statistical data of the corresponding various physiological items according to the physiological data, obtains the life behavior data to determine the corresponding relation between the life behavior of the first user and the parameters of the various physiological items, and generates guide information of the life behavior of the first user according to the corresponding relation. Adopt the utility model discloses diabetes developments supervisory systems can provide physiological data monitoring and life action guide information for a plurality of diabetes mellitus patients in real time, realizes diabetes mellitus patient's intelligent integrated management, helps reducing the incidence of diabetes mellitus patient complication to reduce clinician's adjustment medicine and the work load of diet, and promote medical resource utilization efficiency.

Description

Diabetes dynamic supervision system

Technical Field

The utility model relates to an wisdom medical treatment technical field, its mainly relate to diabetes guardianship and management technique, concretely relates to diabetes dynamic supervisory systems.

Background

Diabetes mellitus is a group of metabolic diseases characterized by hyperglycemia, which is caused by defects in insulin secretion or impairment of biological actions thereof, or both, and chronic damage to various tissues, particularly eyes, kidneys, heart, blood vessels, nerves, or dysfunction due to hyperglycemia occurring in a long term. In recent years, the number of people suffering from diabetes is rapidly increasing worldwide, and diabetes has become the third chronic disease seriously harming human health after tumor and cardiovascular and cerebrovascular diseases. The long-term blood sugar failure is also the main cause of cardiovascular and cerebrovascular diseases, and the proportion of cardiovascular diseases is up to 45%, so that the control of blood sugar is very important.

At present, the latest scanning type blood sugar monitoring equipment is mainly used for quickly and efficiently adjusting the dosage of diet by acquiring a two-week dynamic glucose change curve, achieving the aims of reducing low-glycation hemoglobin, reducing hypoglycemic events and limiting blood sugar fluctuation, and preventing and controlling diabetic complications to the maximum extent.

However, the scanning blood sugar monitoring device also has many problems, such as having to carry a blood sugar scanner with him/her, regularly scanning the worn sensor every 8 hours, using a computer to derive data for dynamic blood sugar monitoring, requiring the patient to record in real time to distinguish blood sugar changes caused by exercise and diet, etc., which are very inconvenient for the patient with low culture level or busy work.

Moreover, the main function of the scanning blood glucose monitoring device is to measure and monitor blood glucose dynamic changes, and there is no function of adjusting and guiding diet, exercise and dosage of medicine of patients, and clinicians are still required to analyze and adjust diet, exercise and dosage of medicine. Thus, scanning blood glucose monitoring devices essentially only upgrade blood glucose measurement methods and do not solve the problem of real-time guidance of diabetic patients for self-administered diet, exercise, and medication doses.

SUMMERY OF THE UTILITY MODEL

The utility model provides a diabetes dynamic supervisory systems can utilize wearing formula check out test set and server to provide physiological data monitoring and life action guide information for a plurality of diabetes patient in real time, helps realizing diabetes patient's intelligent integration management to reduce diabetes patient's complication's incidence, and reduce clinician's adjustment medicine and dietary work load, and promote medical resource utilization efficiency.

In order to achieve the above object, an embodiment of the present invention provides a diabetes dynamic supervision system, which includes a server, a plurality of wearable detection devices associated with the server, and a plurality of first users, wherein the first users are electronic devices used by diabetics; wherein each wearable detection device is associable with at least one first user terminal; the wearable detection equipment comprises a physiological detection assembly and a communication device, wherein the physiological detection assembly comprises a measuring probe, the measuring probe comprises a micron soft needle head and a pressure sensor, the micron soft needle head is used for detecting blood sugar and blood ketone data in a capillary of skin of a first user, and the pressure sensor is used for detecting heart rate data of the first user; the communication device is used for sending the detected physiological data to a server end of the wearable detection equipment; the first user side is used for responding to the input operation of the user and sending the living behavior data of the first user to the server side; the server side is in communication connection with the first wearable detection devices and the first user sides respectively, and is used for receiving physiological data sent by the wearable detection devices, and sending parameters and parameter statistical data of the physiological items generated based on the physiological data and the guide information to the corresponding first user sides.

Optionally, the communication device comprises a first communication component and a second communication component; the first communication component is used for sending the physiological data to a server end associated with the wearable detection equipment; the second communication component is used for sending the physiological data to a first user end associated with the wearable detection device.

Optionally, the diabetes dynamic supervision system further includes a second user end, the communication device further includes a third communication component, the third communication component is configured to send the physiological data to the second user end associated with the wearable detection device, and the second user end is an electronic device used by medical staff.

Optionally, the wearable detection device further includes an alarm device, and the alarm device is configured to send alarm information to the first user terminal through the communication device when the physiological data of each item of the user detected by the physiological detection component exceeds a preset reference.

Optionally, the wearable detection device further comprises a power supply assembly, and the power supply assembly is electrically connected with the physiological detection assembly and the communication device respectively; the power supply assembly comprises a battery module and a charging module, wherein the charging module comprises a wired charging power supply and/or a wireless charging unit.

Optionally, the diabetes dynamic supervision system further comprises a third user side, the first user side and the third user side are in communication connection, information interaction can be carried out between the first user and the third user, and the third user side is an electronic device used by a dietician or a clinician.

The utility model discloses a diabetes dynamic supervisory systems, through a plurality of wearing formula check out test set and first user end of server end relevance, usable wearing formula check out test set real-time detection first user each item physiological item's physiological data, utilize first user end to acquire first user's living behavior data, and usable server end calculates each physiological item's parameter and statistical data according to detecting physiological data, send each item parameter and statistical data to first user end, can make things convenient for first user to know the parameter of each item physiological item of self in real time, and each parameter changes the undulant condition, help improving the compliance of diabetes patient self-management; the guiding information is sent to the first user end through the server end, so that living behaviors of the first user, such as diet, exercise, medication and the like, can be guided, and the first user can conveniently adjust the living behaviors; moreover, the server is associated with the first users, physiological data monitoring and life behavior guide information can be provided for the first users in real time, intelligent integrated management of the diabetics can be achieved, real-time dynamic management of the diabetics can be achieved, the incidence rate of complications of the diabetics can be reduced, the workload of adjusting medicines and diet of clinicians can be reduced, the utilization efficiency of medical resources can be improved, and the economic benefit and the social benefit of diabetes management can be improved fundamentally. Moreover, the utility model provides a diabetes dynamic supervision system has characteristics such as dependable performance, cost are lower.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.

Fig. 1 is a schematic structural diagram of a dynamic diabetes supervision system according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram of a wearable detection device of a diabetes dynamic supervision system according to an embodiment of the present invention.

Detailed Description

In order to make the above objects, features and advantages of the present invention more comprehensible, embodiments of the present invention are described in detail below with reference to the accompanying drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. The invention can be implemented in many other ways than those herein described and similar modifications can be made by those skilled in the art without departing from the spirit of the invention and the invention is therefore not limited to the implementations of the base body disclosed below.

It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and similar expressions are used herein for illustrative purposes only and do not represent a unique embodiment.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.

As shown in fig. 1 and fig. 2, a diabetes dynamic supervision system according to an embodiment of the present invention includes a server, a plurality of wearable detection devices associated with the server, and a plurality of first user terminals; each wearable detection device may be associated with at least one first user end, that is, each first user corresponds to one wearable detection device and at least one first user end. The server may adopt an electronic device having data transceiving and processing functions in the prior art, and the function of the server in this embodiment may be implemented only by modifying a processing program for data in the electronic device, and specifically, the server may include an electronic device such as a computer. The first user can comprise a diabetic patient, and the first user end can comprise an electronic device such as a mobile phone and a tablet computer of the first user or an application program in the electronic device; wearable detection equipment and first user end all are connected with server side communication.

In the diabetes dynamic supervision system, the wearable detection equipment comprises a physiological detection component and a communication device, wherein the physiological detection component is used for detecting physiological data of various physiological items of a first user in real time, and the physiological items comprise at least one of blood sugar, blood ketone and heart rate data; the communication device is used for sending the detected physiological data to a server end of the wearable detection equipment; the first user terminal is used for responding to the input operation of the user, and sending the first user's life behavior data to the server, wherein the life behavior data comprises at least one of diet amount and time, carbohydrate and fat intake content, exercise amount and medicine intake amount; the server side is used for calculating parameters and parameter statistical data of corresponding physiological projects according to the physiological data, obtaining life behavior data, determining the corresponding relation between the life behavior of the first user and the parameters of the physiological projects, and generating guide information of the life behavior of the first user according to the corresponding relation; and sending the parameters and parameter statistical data of all the physiological items and the guide information to the first user end.

According to the utility model discloses an exemplary embodiment, wearing formula check out test set is dressed to first user, by the physiological data such as the first user's of physiology detection subassembly real-time detection blood sugar, blood ketone and rhythm of the heart among the wearing formula check out test set to by the physiological data transmission that communication assembly will detect to server end. The first user inputs daily life behavior data based on the first user side and sends the daily life behavior data to the server side.

The server side calculates parameters such as blood sugar, blood ketone, heart rate and the like of the first user according to the received physiological data and statistical data of all the parameters in a preset time length, such as a fluctuation map and the like, so that real-time monitoring of all physiological items of the first user is realized; in addition, the parameters and the statistical data are sent to the first user side, so that the first user can conveniently know the parameters of various physiological items of the first user side in real time and the variation fluctuation condition of the parameters. The server analyzes the influence of the living behaviors of the first user on blood sugar, blood ketone and heart rate according to the received living behavior data of the first user, determines a corresponding relation and generates suggestion guide information of the living behaviors of the first user according to the corresponding relation; here, the correspondence may include that the living behavior of the user causes an increase or decrease in a parameter such as blood glucose of the first user, or the like. The guiding information is sent to the first user terminal, so that living behaviors of the first user, such as diet, exercise, medication and the like can be guided, and the first user can conveniently adjust the living behaviors. The server is associated with the first users, so that the guide information can be provided for the living behaviors of the first users in real time, the intelligent integrated management of the diabetic can be realized, and the incidence rate of complications of the diabetic is reduced.

In a practical application scenario, the guidance information includes at least one of diet amount and diet time adjustment data, carbohydrate and fat intake content adjustment data, exercise amount adjustment data, and drug intake adjustment data. And, the instructional information may also include diet category information and/or drug category information.

When the server generates the guidance information, the difference between the parameters of each physiological item of the first user and the corresponding preset parameter index and the corresponding relationship between the life behavior data of the first user and the parameters of each physiological item are acquired, and the guidance information of the life behavior of the first user is generated according to the difference and the corresponding relationship, so that the first user can conveniently adjust the parameters of each physiological item to the preset parameter index by adjusting the life behavior of the first user.

For example, when the server generates the diet amount adjustment data and the diet type information, the intake amounts of various nutrients of the first user may be calculated according to the diet amount, the intake contents of carbohydrates and fats, and other data of the first user, the energy and nutritional requirements of the first user may be calculated according to the difference between the parameters of various physiological items of the first user and the corresponding preset parameter indexes, and the corresponding diet type may be selected from the preset diet type list according to the energy and nutritional requirements, so as to generate the guidance information including the diet amount and the diet type information.

For another example, when the server generates the medication intake adjustment data and the medication type information, the server may select a corresponding medication type from a preset medication type list according to a difference between a parameter of each physiological item of the first user and a corresponding preset parameter index, and generate guidance information including the medication intake and the medication type information. Specifically, taking the blood sugar of the first user as an example for illustration, the medication guidance information of the hypoglycemic agent can be generated for the first user according to the baseline level and the fluctuation condition of the blood sugar of the first user and the difference between the baseline level and the preset blood sugar index.

In an optional implementation mode, the physiological detection component of the wearable detection device comprises a measurement probe, the measurement probe comprises a micron soft needle and a pressure sensor, the micron soft needle is used for detecting blood sugar and blood ketone data in the skin capillary of the first user, and the micron soft needle can reduce the tedious operations of daily blood sugar, blood ketone and blood pressure measurement of a diabetic patient and the pain of finger pricking; the pressure sensor is used to detect heart rate data of the first user.

Optionally, the communication device comprises a first communication component and a second communication component; the first communication component is used for sending the physiological data to a server end associated with the wearable detection equipment; the second communication component is used for sending the physiological data to a first user end associated with the wearable detection device. For example, the first communication component may include an NFC chip, and the first user may obtain detected physiological data such as blood glucose, blood ketone, heart rate, and the like by scanning in real time through the first user terminal. The second communication component may include a wireless communication unit in a wireless communication manner, and the wireless communication unit is in communication connection with the server side in the wireless communication manner.

Optionally, the communication device further comprises a third communication component for sending the physiological data to a second user end associated with the wearable detection device. Specifically, the third communication component may include a wireless communication unit, such as a wireless sensor device, for communicating with the second user end in a wireless communication manner. Here, the second user side may be an electronic device such as a mobile phone of a back end worker of a doctor, a computer, or the like.

Optionally, the wearable detection device may further include an alarm device, and the alarm device is configured to send alarm information to the first user terminal through the communication device when the physiological data of each physiological item of the user detected by the physiological detection component exceeds a preset reference, so as to prompt the first user that the physiological data exceeds the standard, such as blood sugar exceeds the standard, and the first user may adjust the living behavior in time, thereby further providing a guarantee for the health of the first user.

And the wearable detection device can further comprise a power supply assembly, and the power supply assembly is electrically connected with the physiological detection assembly and the communication device respectively. In particular, the power supply assembly may include a battery module and a charging module, which may include a wired charging unit and/or a wireless charging unit.

Optionally, the diabetes dynamic supervision system further comprises a third user side, and the first user side and the third user side are in communication connection, so that information interaction can be performed between the first user and the third user. Here, the third user may include a worker such as a dietician, a clinician, or the like. The first user carries out information interaction of online videos, voice or short messages with the third user based on communication connection between the first user and the third user, real-time conditions of diet, exercise and medicine taking, adverse reactions and the like are fed back in real time, and health questions and the like of the first user can be solved in time.

The utility model discloses diabetes dynamic supervisory systems, at a plurality of wearing formula check out test set of server side relevance and first user end, through the physiological data of wearing formula check out test set real-time detection first user each item physiological project, acquire first user's life action data through first user end, and calculate the parameter and the statistical data of each physiological project through the server end according to detecting physiological data, send each item parameter and statistical data to first user end, can make things convenient for first user to know the parameter of each item physiological project of self in real time, and each parameter variation fluctuation condition, help improving the compliance of diabetes patient's self-management; the server side acquires the corresponding relation between the living behavior data of the first user and the parameters of each physiological project, generates guide information of the living behavior of the first user according to the corresponding relation, and sends the guide information to the first user side, so that the living behaviors of the first user such as diet, exercise, medication and the like can be guided, and the first user can conveniently adjust the living behaviors; moreover, the server is associated with the first users, physiological data monitoring and life behavior guide information can be provided for the first users in real time, intelligent integrated management of the diabetic patients can be realized, real-time dynamic management of the diabetic patients is realized, the incidence rate of complications of the diabetic patients is reduced, the workload of adjusting medicines and diet of clinicians is reduced, the utilization efficiency of medical resources is improved, and the economic benefit and the social benefit of diabetes management are improved fundamentally.

It should be noted that, according to the implementation requirement, each component described in the embodiment of the present invention can be separated into more components, and two or more components or parts of the components can be combined into a new component, so as to achieve the purpose of the embodiment of the present invention.

The above-mentioned embodiments only represent some embodiments of the present invention, and the description thereof is specific and detailed, but not to be construed as limiting the scope of the present invention. It should be noted that, for those skilled in the art, without departing from the concept of the present invention, several variations and modifications can be made, which all fall within the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the appended claims.

Claims (6)

1. A diabetes dynamic supervision system is characterized by comprising a server side, a plurality of wearable detection devices and a plurality of first user sides, wherein the wearable detection devices are associated with the server side; wherein each wearable detection device is associated with at least one first user terminal, the first user terminal being an electronic device used by a diabetic patient;

the wearable detection equipment comprises a physiological detection assembly and a communication device, wherein the physiological detection assembly comprises a measuring probe, the measuring probe comprises a micron soft needle head and a pressure sensor, the micron soft needle head is used for detecting blood sugar and blood ketone data in a capillary of skin of a first user, and the pressure sensor is used for detecting heart rate data of the first user; the communication device is used for sending the detected physiological data to a server end of the wearable detection equipment;

the first user side is used for responding to the input operation of the user and sending the living behavior data of the first user to the server side;

the server side is in communication connection with the wearable detection devices and the first user sides respectively, and is used for receiving physiological data sent by the wearable detection devices and sending parameters, parameter statistical data and guide information of various physiological items generated based on the various physiological data to the corresponding first user sides.

2. The dynamic diabetes supervision system according to claim 1, wherein the communication device comprises a first communication component and a second communication component;

the first communication component is used for sending the physiological data to a server end associated with the wearable detection equipment;

the second communication component is used for sending the physiological data to a first user end associated with the wearable detection device.

3. The dynamic diabetes supervision system according to claim 1, further comprising a second user end, wherein the communication device further comprises a third communication component for transmitting the physiological data to the second user end associated with the wearable detection device, wherein the second user end is an electronic device used by a medical staff.

4. The dynamic diabetes supervision system according to claim 1, wherein the wearable detection device further comprises an alarm device, and the alarm device is configured to send an alarm message to the first user end through the communication device when the physiological data of each physiological item of the user detected by the physiological detection component exceeds a preset reference.

5. The dynamic diabetes supervision system according to claim 1, wherein the wearable detection device further comprises a power supply component, the power supply component being electrically connected to the physiological detection component and the communication device, respectively; the power supply assembly comprises a battery module and a charging module, wherein the charging module comprises a wired charging power supply and/or a wireless charging unit.

6. The dynamic diabetes supervision system according to any of claims 1 to 5, further comprising a third user end, wherein the first user end and the third user end are communicatively connected to allow information interaction between the first user and the third user end, and the third user end is an electronic device used by a dietician or a clinician.

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