TWI760980B - Analysis method of smart waist system - Google Patents

Abstract

An analysis method of a smart waist system, which is that the smart waist system includes a waistband body, a waistline sensing module, a communication module, and an analysis module. First of all, the waistband body wraps around the user's torso to measure the user's waist circumference. Then, the waist circumference of the user is continuously sensed by the waistline sensing module, and multiple waist circumference information is continuously generated. After that, the waist circumference information is sent to the analysis module through the communication module. Finally, the analysis module analyzes the waist circumference information and establishes the analysis model. Among them, the analysis model includes a waist circumference trajectory model, which is formed according to the waist circumference information continuously generated by the waistline sensing module. In this way, the user's waist circumference change is accurately analyzed, and the waist circumference trajectory model is generated to monitor the user's blood sugar and blood lipids. In addition, the intervention through the reminder module of the smart waist system can effectively change the life style of the user.

Description

Analysis Method of Smart Waistline System

The present invention relates to a smart waistline system, in particular to a smart waistline system and an analysis method thereof.

In recent years, the number of people with diabetes worldwide has continued to increase, from 30 million in 1985 to 143 million in 1998, according to the World Health Organization's November 2016 report estimated that by 2025 The number of people with diabetes in the world will reach as many as 300 million, so how to prevent the occurrence of diabetes and how to track the follow-up treatment of diabetic patients has become an urgent matter. Among them, a balanced and healthy diet is the cornerstone of diabetes prevention and diabetes control.

However, according to the World Health Organization report, more than 60% of diabetic patients do not have weight-related control. According to clinical observations, about 80% of diabetic patients are related to obesity. However, one of the symptoms of diabetes is weight loss. , causing many people to lose weight and ignore the diabetes problem caused by their own obesity, resulting in delayed medical treatment or risk of personal safety. Therefore, reducing the risk of diabetes should not only focus on weight control, but waist circumference control is more important . In addition, the waist and abdomen are important areas where the kidneys, liver, pancreas and other important organs are located in the human body. When too much fat is stored in the waist and abdomen, it may cause damage to the pancreatic system and increase hypertension, dyslipidemia, fatty liver, etc. risk of disease.

In addition, because diabetic patients often suffer from obesity at the same time, they are more prone to hyperlipidemia. The main reason is that the activity of lipolytic enzymes that break down fat in diabetic patients will be greatly reduced. At the same time, the liver synthesizes and releases triglycerides. The increase in ability makes diabetic patients prone to hyperlipidemia. Therefore, the tracking of diabetic patients must confirm the blood glucose, triglyceride, cholesterol, lipoprotein and other concentrations at the same time. However, there is currently no tracking of blood glucose on the market at the same time. , Triglyceride, cholesterol, lipoprotein and other concentrations of products.

In view of the above-mentioned shortcomings, the inventors have researched ways to improve these shortcomings, and finally the present invention is produced.

The main purpose of the present invention is to provide a smart waist circumference system, which is applied to the tracking of diabetic patients. The smart waist circumference system uses a waist circumference sensing module to continuously sense the waist circumference of the user, and uses the analysis module to detect the user's waist circumference according to the The waist circumference information is analyzed to establish an analysis model, wherein the analysis model includes a waist circumference trajectory model, and the waist circumference trajectory is formed according to the waist circumference information. Thus, the smart waist circumference system of the present invention can accurately analyze the waist circumference changes of the user to generate a waist circumference trajectory model, so as to achieve the purpose of monitoring the user's blood sugar, blood lipids and exercise intensity.

Another object of the present invention is to provide an intelligent waist circumference system, which uses an artificial intelligence unit to learn and understand the analysis models and establish a disease risk assessment model. The disease risk assessment model can be used by those with ordinary knowledge in the field. , such as: physicians, nutritionists, coaches, personal managers and instructors, etc., which are used to intervene in the user's lifestyle. Thus, the present invention provides a potential low-cost implementation that extends the application of disease risk assessment models to applications in home healthcare and mobile medical products.

Another object of the present invention is to provide a smart waist circumference system, which uses an external device to provide the analysis models established by analyzing the waist circumference information, such as the difference in waist circumference changes in time intervals, to those skilled in the art. The general knowledgeable person can provide at least one improvement suggestion according to the analysis models, so as to change the user's life style, and according to the improvement suggestion, search for a plurality of health care product information that conforms to the improvement suggestion, and use the external device through the external device. Recommend such healthcare product information to users. Thereby, the present invention provides a business model that is more in line with the needs of users, and provides users with more accurate and professional medical product recommendations.

In order to achieve the above objects and effects, the present invention provides a smart waist circumference system, which is applied to the tracking of diabetic patients. The smart waist circumference system includes: a belt body, which is wrapped around the torso of the user to measure the user the waist circumference; a waist circumference sensing module, which is arranged on the belt body, the waist circumference sensing module continuously senses the waist circumference of the user, and continuously generates a plurality of waist circumference information; a communication module, which is connected to the coupling connected to the waist circumference sensing module, the communication module is used for sending the waist circumference information; an analysis module is connected with the communication module information, and the analysis module receives the information sent by the communication module Isometric information, the analysis module analyzes the waist circumference information to establish at least one analysis model, and transmits the analysis model to an external device; wherein, the analysis model established by the analysis model includes a waist circumference trajectory model , the waist circumference trajectory model is formed according to the waist circumference information continuously generated by the waist circumference sensing module.

Preferably, according to the smart waistline system of the present invention, the external device further comprises: a reminder unit, which is connected with the analysis module information; and a display module, which is connected with the analysis module information connected, the display module is used to display the analysis model.

Preferably, according to the smart waistline system of the present invention, the analysis module is built in a cloud server.

Preferably, according to the smart waist circumference system of the present invention, the analysis module analyzes the waist circumference information to establish a complex analysis model, and the analysis models include an insulin sensitivity index model, a blood sugar control model, and a blood lipid model. , a sleep model, a digestion state model, an activity state model, a fatty liver model, a colorectal polyp model, and a cancer model, one or a combination thereof, but the present invention is not limited thereto.

Preferably, according to the smart waistline system of the present invention, the analysis module further comprises a storage unit, which is connected to the communication module for information, and the storage unit is used for storing the analysis model.

Preferably, according to the smart waist belt of the present invention, the analysis module further includes an artificial intelligence unit, which is coupled to the storage unit, and the artificial intelligence unit learns and understands the analysis models. And establish a disease risk assessment model for users' reference.

Preferably, according to the smart waist circumference system of the present invention, the waist circumference sensing module is a capacitive sensing unit, and the capacitive sensing unit includes a plurality of insulating layers, a plurality of conductive layers, and an information acquisition unit, The insulating layers and the conductive layers are alternately arranged to generate an initial capacitance value, and the insulating layers and the conductive layers generate complex capacitance values due to the change of the accommodating space, and the information acquisition unit is coupled to the insulating layers layer and conductive layer, and the information acquisition unit is used for sensing the initial capacitance value and the capacitance values to generate the waist circumference information.

Preferably, according to the smart waist circumference system of the present invention, the waist circumference sensing module comprises a first clamping part, a second clamping part and a sensing module, the first clamping part and the The second engaging portion is a detachable assembly structure, the sensing module is coupled to the first engaging portion and the second engaging portion, and the sensing module is based on the first engaging portion The relative positions of the portion and the second engaging portion generate the waist circumference information.

Preferably, according to the smart waist circumference system of a preferred embodiment of the present invention, the sensing unit is a magnetometer, and the magnetometer generates the Waist circumference information.

Preferably, according to the smart waist circumference system of the present invention, the material of the first engaging portion is metal, and the material of the first engaging portion is selected from one or a combination of magnetic metals such as iron, cobalt, and nickel. .

Preferably, according to the smart waistline system of the present invention, the display module can be an organic light emitting diode display (OLED), a light emitting diode display (LED), or a quantum dot display (QLED). Not limited to this.

Moreover, in order to achieve the above-mentioned purpose, the present invention is based on the above-mentioned smart waistline system, and further provides an analysis method for implementing the above-mentioned smart waistline system, which includes: a wearing step, through the belt body wrapping around the user's torso In a measurement step, the waist circumference sensing module continuously senses the waist circumference of the user and generates the waist circumference information; in a sending step, the communication module sends The waist circumference information is sent to the analysis module; in an analysis step, the analysis module performs analysis according to the waist circumference information to establish the analysis model. Preferably, according to the analysis method of the present invention, it further comprises an evaluation step, and an artificial intelligence unit learns and understands the analysis models and establishes a disease risk evaluation model for the user's reference.

Preferably, according to the analysis method of the present invention, it further comprises a reminding step, and the smart waist circumference system sends out a reminder message through a reminder module coupled to the analysis module according to the disease risk assessment model, so that Change the user's lifestyle.

Preferably, according to the analysis method of the present invention, it further includes a display step, through a display module, which is coupled to the analysis module, the display module displays a display information, and the display information includes the One or a combination of the analytical model and the disease risk assessment model.

Preferably, according to the analysis method of the present invention, it further includes an improvement step, which is to provide the analysis models to those with ordinary knowledge in the field, and the ordinary knowledge can provide at least one improvement suggestion according to the analysis models. , so as to change the user's lifestyle.

Preferably, according to the analysis method of the present invention, it further includes a recommending step, the external device searches for a plurality of medical care product information that conforms to the improvement suggestion according to the improvement suggestion, and uses the external device to provide the medical care product information. Product information is recommended to users.

Preferably, according to the analysis method of the present invention, it further includes an optimization step, which is generated after the user uses the smart waist circumference system for a time interval, and provides the analysis models to at least one of the analysis models again after a time interval. Those with ordinary knowledge in the art can provide an optimization information according to the analysis models, so as to further optimize the disease risk assessment model, the improvement suggestion, and the health care commodity information.

To sum up, the smart waist circumference system provided by the present invention can accurately analyze the waist circumference changes of the user to generate a waist circumference trajectory model, achieve the effect of monitoring the user's blood sugar and blood lipids, etc. The application of the evaluation model is extended to the application of home health care and mobile medical products.

In order for those skilled in the art to understand the purpose, features and effects of the present invention, the present invention is described in detail as follows by means of the following specific embodiments and in conjunction with the accompanying drawings.

The inventive concept will now be explained more fully hereinafter with reference to the accompanying drawings in which exemplary embodiments of the inventive concept are shown. The advantages and features of the inventive concept, as well as methods for achieving the same, will become apparent from the following exemplary embodiments, which are set forth in more detail with reference to the accompanying drawings. However, it should be noted that the inventive concept is not limited to the following exemplary embodiments, but may be implemented in various forms. Therefore, the exemplary embodiments are provided merely to disclose the inventive concept and to make aware of the class of the inventive concept to those skilled in the art. In the drawings, the exemplary embodiments of the inventive concept are not limited to the specific examples provided herein and are exaggerated for clarity.

The terminology used herein is used to describe particular embodiments only, and is not intended to limit the invention. As used herein, the singular terms "a" and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may be present.

Similarly, it will be understood that when an element (eg, a layer, region, or substrate) is referred to as being "on" another element, it can be directly on the other element or intervening elements may be present. In contrast, the term "directly" means that no intervening elements are present. It should be further understood that when the terms "comprising" and "comprising" are used herein, it is intended to indicate the presence of stated features, integers, steps, operations, elements, and/or components, but does not exclude one or more other features , integers, steps, operations, elements, components, and/or the presence or addition of groups thereof.

Furthermore, exemplary embodiments in the detailed description are set forth in cross-section illustrations that are idealized exemplary illustrations of the inventive concepts. Accordingly, the shapes of the exemplary figures may be modified according to manufacturing techniques and/or tolerable errors. Thus, exemplary embodiments of the inventive concept are not limited to the specific shapes shown in the exemplary figures, but may include other shapes that may be produced according to manufacturing processes. The regions illustrated in the figures have general characteristics and are used to illustrate specific shapes of elements. Therefore, this should not be construed as limiting the scope of the inventive concept only.

It will also be understood that, although the terms "first," "second," "third," etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish each element. Thus, a first element in some embodiments could be termed a second element in other embodiments without departing from the teachings of the present invention. Exemplary embodiments of aspects of the inventive concepts illustrated and described herein include their complementary counterparts. Throughout this specification, the same reference numbers or the same designators refer to the same elements.

Furthermore, example embodiments are described herein with reference to cross-sectional and/or plan views, which are illustrations of idealized example illustrations. Accordingly, deviations from the shapes shown, for example, caused by manufacturing techniques and/or tolerances, are expected. Accordingly, the exemplary embodiments should not be considered limited to the shapes of the regions shown herein, but are intended to include deviations in shapes resulting from, for example, manufacturing. Thus, the regions illustrated in the figures are schematic and their shapes are not intended to illustrate the actual shape of a region of a device and are not intended to limit the scope of example embodiments.

Please refer to FIG. 1 to FIG. 3 . FIG. 1 is a schematic diagram of a smart waist circumference system according to the present invention; FIG. 2 is a schematic structural diagram of a smart waist circumference system according to the present invention. As shown in FIG. 1 , the smart waist circumference system 100 according to the present invention includes a waist belt body 11 , a waist circumference sensing module 12 , a communication module 13 and an analysis module 14 .

Specifically, please refer to FIG. 2 , the belt body 11 is wrapped around the torso of the user 200 near the waist to measure the waist of the user 200 , but the present invention is not limited thereto.

Specifically, the waist circumference sensing module 12 is disposed on the belt body 11 , and the waist circumference sensing module 21 senses the waist circumference of the user and generates a plurality of waist circumference information 21 . It should be further noted that, the waist circumference sensing module 12 can sense the waist circumference of the user by, for example, one of optical type, capacitive type or mechanical type. Among them, the optical type uses optical images to determine the change of the belt body 11 with the user's torso, thereby generating the waist circumference information 21; the capacitive type generates capacitance values through the alternating arrangement of plural insulating layers and plural conductive layers, and passes through the belt main body 11 with the use of The change in the capacitance value of the user's torso changes, thereby generating the waist circumference information 21; the mechanical method uses the relative displacement of the two ends of the waist belt body 11 to determine the waist circumference information 21 by judging the change of the waist belt body 11 with the user's torso. However, the present invention Not limited to this.

Specifically, the communication module 13 is coupled to the waist circumference sensing module 12 , and the communication module 13 is used for sending the waist circumference information 21 . It should be further noted that the communication module 13 according to the present invention is the information transmission of wireless signals, which is selected from radio frequency circuits (RFID), or near field communication (NFC), bluetooth ( Bluetooth), third generation mobile communication (3G), fourth generation mobile communication (4G), wireless local area network (Wi-Fi), wireless local area network (WLAN), fifth generation mobile communication (5G) wireless communication protocol One of them; and, the communication module 13 is a wired signal information transmission, which is an Ethernet (Ethernet), and the communication module 13 can be used to send the waist circumference information 21 to the analysis module 14, or The communication module 13 can be used for information communication with an external device (not shown), such as a personal computer, a smart phone or a tablet computer, etc., but the present invention is not limited thereto.

It is worth mentioning that the external device can communicate with the waist circumference sensing module 12 and the analysis module 14 through the communication module 13, so as to adjust the setting of the smart waist circumference system 100 according to the present invention by the external device, In addition, if the settings of the smart waist circumference system 100 according to the present invention can be adjusted by other means, and the waist circumference information 21 sensed by the waist circumference sensing module 12 can be output by other means, the communication module 13 can also output the waist circumference information 21 arbitrarily. The setting of the waist circumference information 21, however, in order to reduce the size of the smart waist circumference system 100 according to the present invention as much as possible, according to a preferred embodiment of the present invention, the communication module 13 is used to communicate with the external device, but the present invention is not limited to this.

Please refer to FIG. 3 . FIG. 3 is a schematic diagram illustrating the waistline trajectory model established by the smart waistline system according to the present invention. The analysis module 14 is informationally connected with the communication module 13 , the analysis module 14 receives the waist circumference information 21 sent by the communication module 13 , and the analysis module 14 is used for analyzing the waist circumference information 21 to An analysis model 22 is established, and the analysis model 22 is transmitted to at least one external device through the communication module 13 . The analysis model 22 established by the analysis module 14 includes a waist circumference trajectory model 221. As shown in FIG. 3, the waist circumference trajectory model 221 is formed according to the waist circumference information 21. In the present invention, the waist circumference trajectory model 221 is The model 221 includes the user's monthly waist circumference information 21 and is recorded in years, but the present invention is not limited to this. The waist circumference trajectory model 221 can also include the user's daily waist circumference information 21 and is recorded in months. In this way, the change of the user's waist circumference can be more accurately grasped, but at the same time, the information recorded by the waist circumference trajectory model 221 will be larger and occupy more memory space. This method is more appropriate, and this is only illustrative, and the present invention should not be construed as being limited to this.

Please refer to FIG. 4 . FIG. 4 is a diagram illustrating the relationship between the waist circumference information measured by the smart waist circumference system according to the present invention and the insulin sensitivity index. As shown in FIG. 4 , the waist circumference information 21 generated by the smart waist circumference system 100 according to the present invention is related to the insulin sensitivity index, so the analysis module 14 according to the present invention can generate a waist circumference track based on the waist circumference information 21 The model 221 , and the insulin sensitivity index model 222 is generated by the waist circumference information 21 . It should be further explained that although the real cause of the formation of insulin resistance has not yet been determined, it is still believed in clinical medicine that the decrease in individual activity and the accumulation of energy are important factors for the occurrence of insulin resistance. Therefore, the smart waist circumference system 100 according to the present invention is Further, according to the insulin sensitivity index model 222 generated by the waist circumference information 21 of the analysis module 14, the user can be reminded to perform appropriate activities or exercises to reduce the formation of insulin resistance, but the invention is not limited to this.

Please refer to FIGS. 5A to 7 . FIG. 5A is a diagram illustrating the relationship between the waist circumference information measured by the smart waist circumference system according to the present invention and the glucose in the blood; FIG. 5B is a diagram illustrating the relationship between the waist circumference information measured by the smart waist circumference system according to the present invention. The relationship diagram between the measured waist circumference information and the triglycerides in blood; FIG. 5C is a diagram illustrating the relationship between the waist circumference information measured by the smart waist circumference system according to the present invention and the cholesterol in the blood; FIG. 5D is a diagram showing the relationship between the measured waist circumference information and blood cholesterol. Describe the relationship between the waist circumference information measured by the smart waist circumference system according to the present invention and the lipoprotein in the blood. The waist circumference information 21 generated by the smart waist circumference system 100 according to the present invention is correlated with glucose, triglycerides, cholesterol and lipoproteins in the blood. In general, the causes of high blood lipids in patients with diabetes are complex, but the most common types include the following: increased blood triglycerides, decreased high-density lipoprotein cholesterol (HDL-C) and low-density lipoproteins Cholesterol (LDL-C) increases. Therefore, the analysis module 14 according to the present invention can generate the waist circumference trajectory model 221 based on the waist circumference information 21, and the analysis module 14 generates the blood sugar control model 223, the triglyceride model 224, One of the cholesterol model 225, and the lipoprotein model 226, or a combination thereof. In this way, the smart waist circumference system 100 according to the present invention can prevent and monitor the situation of hyperlipidemia caused by diabetes by monitoring information such as glucose, triglyceride, cholesterol and lipoprotein.

It should be further noted that the analysis model 22 of the present invention may include various blood lipid models (not shown in the figure), and these blood lipid models are not limited to the above-mentioned triglyceride model 224, cholesterol model 225, and lipoprotein model 226, In addition, the analysis model 22 according to the present invention can also be, for example, a fatty liver model, a colorectal polyp model, a cancer model, etc., but the present invention is not limited to this, and those with ordinary knowledge in the art can make various changes and modifications according to the above examples. Applications are not listed here.

Please refer to FIG. 6 in conjunction with FIG. 7 . FIG. 6 is a block diagram illustrating the steps of the analysis method of the smart waistline system according to the present invention; the present invention is based on the smart waistline system 100 , and further provides an implementation of the smart waistline system 100 The analytical method includes the following steps:

In the wearing step S1 , the waistband body 11 is wrapped around the user's torso near the waistline to measure the user's waistline, and then the measurement step S2 is performed.

In the measurement step S2, the waist circumference of the user is sensed through the waist circumference sensing module 12, and the waist circumference information 21 is generated, and then the sending step S3 is performed.

In the sending step S3, the waist circumference information 21 is sent to the analysis module 14 through the communication module 13 for analysis by the analysis module 14, and then the analysis step S4 is performed.

In the analysis step S4, the analysis module 14 performs analysis according to the waist circumference information 21, and establishes at least one analysis model 22, wherein the analysis model 22 may include a waist circumference trajectory model 221, an insulin sensitivity index model 222, a blood sugar control model 223, Triglyceride model 224 , cholesterol model 225 and lipoprotein model 226 .

In order to further understand the structural features of the present invention, the application of technical means and the expected effect, the actual implementation process of the present invention is described here.

Please refer to FIG. 7 in conjunction with FIG. 2 and FIG. 6 . FIG. 7 is a flow chart illustrating the steps of the actual implementation process of the smart waist circumference system according to the present invention. The actual implementation process of the smart waist circumference system 100 according to the present invention is described as follows: firstly, the wearing step S1 is performed, and the waist circumference of the user is measured by wrapping the belt body 11 around the user's torso near the waist; then, the measuring step S2 is performed, When the belt body 11 is wrapped around the user's torso near the waist, the waist circumference of the user is sensed through the waist circumference sensing module 12 , wherein the structure of the waist circumference sensing module 12 may be optical, capacitive or mechanical. 1, and generate a plurality of waist circumference information 21; then execute the sending step S3, after the waist circumference sensing module 12 generates the waist circumference information 21, the smart waist circumference system 100 according to the present invention sends the waist circumference information 21 through the communication module 13 It is sent to the analysis module 14 for analysis by the analysis module 14; after that, the analysis step S4 is executed, and the analysis module 14 analyzes according to the waist circumference information 21, and combines the waist circumference information 21 with the insulin sensitivity index and the glucose in the blood , triglyceride, cholesterol and lipoprotein are correlated to establish complex analysis model 22, these analysis models 22 include waist circumference trajectory model 221, insulin sensitivity index model 222, blood sugar control model 223, triglyceride model 224, cholesterol model 225 and lipoprotein model 226.

Therefore, according to the above description, according to the smart waist circumference system 100 of the present invention, the waist circumference of the user is sensed by the waist circumference sensing module 12, and the analysis module 14 is used to analyze according to the waist circumference information 21, By establishing the complex number analysis model 22 , repetitive actions that previously required manual operations are reduced, and the manpower and time required to achieve the same effect are effectively reduced. On the other hand, the present invention uses the analysis module 14 to establish a complex analysis model 22 according to the correlation between waist circumference information and insulin sensitivity index and blood glucose, triglyceride, cholesterol and lipoprotein. The iso-analysis model 22 includes a waist circumference trajectory model 221 , an insulin sensitivity index model 222 , a blood sugar control model 223 , a triglyceride model 224 , a cholesterol model 225 and a lipoprotein model 226 , thereby accurately analyzing the waist circumference changes of the user to generate a waist circumference trajectory The model achieves the effect of monitoring the user's blood sugar and blood lipids.

(1st embodiment)

Hereinafter, an embodiment of the first embodiment of the smart waistline system of the present invention will be described with reference to the drawings.

Please refer to FIG. 8 to FIG. 10 . FIG. 8 is a system schematic diagram of a smart waist circumference system according to a first embodiment of the present invention. As shown in FIG. 8 , the smart waist circumference system 100 according to the present invention includes: a waist belt body 11 , a waist circumference sensing module 12 , a communication module 13 , an analysis module 14 , a reminder module 15 and a display module 16 .

Specifically, the belt body 11 is wrapped around the user's torso near the waist to measure the user's waist, but the invention is not limited to this.

Specifically, the waist circumference sensing module 12 is disposed on the belt body 11 , the waist circumference sensing module 12 senses the waist circumference of the user, and generates a plurality of waist circumference information 21 .

It should be further explained that, in this embodiment, the waist circumference sensing module 12 uses a mechanical structure to sense the waist circumference of the user. Please refer to FIG. 9 , which is a first embodiment of the present invention. For example, the schematic diagram of the structure of the waist circumference sensor module. As shown in FIG. 9 , the waist circumference sensing module 12 includes a first engaging portion 121 , a second engaging portion 122 and a sensing unit 123 , wherein the first engaging portion 121 and the second engaging portion 122 are A detachable assembly structure, the sensing unit 123 is coupled to one of the first clamping portion 121 and the second clamping portion 122 or a combination thereof, the sensing unit 123 is based on the first card The relative positions of the connecting portion 121 and the second engaging portion 122 generate the waist circumference information 21 .

Specifically, the material of the first engaging portion 121 according to the first embodiment of the present invention is a metal capable of attracting ferromagnetic substances, such as iron, nickel, and cobalt, but the present invention is not limited thereto.

As shown in FIG. 9 , the first engaging portion 121 may be configured as a rotatable sheet-like structure, the second engaging portion 122 may be configured as a zigzag structure, and the first engaging portion 121 and the second engaging portion 122 is a detachable assembly structure, one end of the first engaging portion 121 is inserted into the second engaging portion 122, and one end of the first engaging portion 121 and the other end of the first engaging portion 121 are synchronized Move up and down to change the relative positions of the first engaging portion 121 and the second engaging portion 122 . It should be further explained that the distance between the peaks of the zigzag structure is between 0.1 cm and 1 cm. When the distance between the peaks is smaller, in terms of accuracy, according to this The waist circumference sensing module 12 according to the first embodiment of the invention can sense the change of waist circumference more accurately, but it will cause the sensing distance to be too close, resulting in a large error. The user can choose which implementation method according to their needs Appropriately, this is for illustrative purposes only, and the present invention should not be construed as limited thereto.

It should be further noted that, since the material of the first engaging portion 121 according to the first embodiment of the present invention is a metal capable of attracting ferromagnetic substances, when one end of the first engaging portion 121 and the first engaging portion 121 When the other end moves up and down synchronously to change the relative position of the first engaging portion 121 and the second engaging portion 122, the up and down movement of both ends of the first engaging portion 121 causes changes in the magnetic field, and the sensing unit 123 is a Through the change of the magnetic field, the relative positions of the first engaging portion 121 and the second engaging portion 122 are confirmed to generate a plurality of waist circumference information 21, so as to sense the change of the waist circumference.

Please refer to FIG. 10 . FIG. 10 is a schematic diagram illustrating the values measured by the sensing unit of the smart waist circumference system according to the first embodiment of the present invention. Specifically, the sensing unit 123 according to the first embodiment of the present invention is a magnetometer, and the magnetometer generates the waist circumference information 21 according to the change of the magnetic field generated by the rotation of the first clamping portion 121 , but the present invention is not limited to this. As shown in FIG. 10 , whenever the user changes the relative positions of the first engaging portion 121 and the second engaging portion 122 , the value measured by the sensing unit 123 moves up and down due to both ends of the first engaging portion 121 . The change of the magnetic field causes obvious fluctuations, thereby sensing the change of the waist circumference to generate a plurality of waist circumference information 21, so as to achieve the effect of accurately monitoring the waist circumference of the user. However, this is only an illustration, and the present invention should not be interpreted as limited to this.

Specifically, the communication module 13 is coupled to the waist circumference sensing module 12 , and the communication module 13 is used for sending the waist circumference information 21 . It should be further noted that the communication module 13 according to the present invention is the information transmission of wireless signals, which is selected from radio frequency circuits (RFID), or near field communication (NFC), bluetooth ( Bluetooth), third generation mobile communication (3G), fourth generation mobile communication (4G), wireless local area network (Wi-Fi), wireless local area network (WLAN), fifth generation mobile communication (5G) wireless communication protocol One of them; and, the communication module 13 is a wired signal information transmission, which is an Ethernet (Ethernet), and the communication module 13 can be used to send the waist circumference information 21 to the analysis module 14, or The communication module 13 can be used for information communication with an external device, such as a personal computer, a smart phone or a tablet computer, etc., but the present invention is not limited thereto.

Specifically, the analysis module 14 is information-connected with the communication module 13, the analysis module 14 receives the waist circumference information 21 sent by the communication module 13, and the analysis module 14 is used for analyzing the waist circumferences information 21 to create an analysis model 22, and transmit the analysis model 22 to at least one external device (not shown), wherein the external device may include a reminder module 15 and a display module 16, but the invention is not limited thereto.

Specifically, the external device may be one or a combination of a computer, a tablet, a smart phone, and a server, but the present invention is not limited thereto.

Specifically, the reminder module 15 is connected to the analysis module 14 for information, and the reminder module 15 is used to generate interference so as to change the life style of the user,

Please refer to FIG. 11 . FIG. 11 is a schematic diagram illustrating the structure of the smart waist circumference system according to the first embodiment of the present invention. In this embodiment, the reminder module 15 is a speaker, and the reminder module 15 emits a sound to intervene so as to effectively change the user's life style. However, the present invention is not limited to this. In another preferred embodiment, the reminder module 15 is one or a combination of a display and a smart phone. When the reminder module 15 is a display, the communication module The group 13 sends the reminder information 23 to the reminder module 15, and displays the reminder information 23 through the display, so as to remind the user to intervene and effectively change the user's life style; when the reminder module 15 is a smart phone , the communication module 13 sends reminder information 23 to the reminder module 15, and activates the reminder module 15 at the same time, the reminder module 15 emits sound and vibration, so as to remind the user to intervene, effectively changing the user's life style state. In addition, the reminder module 15 can be selected from one or a combination of a speaker, a smart phone, and a display.

Specifically, the display module 16 according to the first embodiment of the present invention may be one of an organic light emitting diode display (OLED), a light emitting diode display (LED), or a quantum dot display (QLED). Not limited to this. In this embodiment, the display module 16 is connected with the analysis module information, and the display module 16 is used to display the analysis models 22 for the user's reference.

It should be further explained that the waist circumference information 21 generated by the smart waist circumference system 100 according to the present invention is related to the insulin sensitivity index, so the analysis module 14 according to the present invention can generate the waist circumference based on the waist circumference information 21 The trajectory model 221 also generates an insulin sensitivity index model 222 based on the waist circumference information 21 .

It is worth mentioning that, in this embodiment, the waist circumference information 21 generated by the smart waist circumference system 100 according to the present invention is related to glucose, triglyceride, cholesterol and lipoprotein in blood. In general, the causes of high blood lipids in patients with diabetes are complex, but the most common types include the following: increased blood triglycerides, decreased high-density lipoprotein cholesterol (HDL-C), and low-density lipids Increased protein cholesterol (LDL-C). Therefore, the analysis module 14 according to the present invention can generate one or a combination of the blood glucose control model 223 , the triglyceride model 224 , the cholesterol model 225 , and the lipoprotein model 226 based on the waist circumference information 21 . In this way, the smart waist circumference system 100 according to the first embodiment of the present invention can prevent and monitor the situation of hyperlipidemia caused by diabetes by monitoring information such as glucose, triglyceride, cholesterol and lipoprotein.

Please refer to FIG. 12 in conjunction with FIG. 8 to FIG. 13 . FIG. 12 is a block diagram illustrating the steps of the analysis method of the smart waistline system according to the first embodiment of the present invention; the present invention is based on the smart waistline system 100 , and further An analysis method for implementing the smart waist circumference system 100 is provided, which includes the following steps:

In the wearing step S1', the waistband body 11 is wrapped around the user's torso near the waist to measure the waist of the user, and then the measurement step S2' is performed.

In the measurement step S2', the waist circumference of the user is sensed through the waist circumference sensing module 12, and the waist circumference information 21 is generated, and then the sending step S3' is performed.

In the sending step S3', the waist circumference information 21 is sent to the analysis module 14 through the communication module 13 for analysis by the analysis module 14, and then the analysis step S4' is executed.

In the analysis step S4', the analysis module 14 analyzes according to the waist circumference information 21, and establishes a complex analysis model 22, and then executes the evaluation step S5' and the display step S6'.

In the reminding step S5', the smart waistline system 100 sends a reminder information 23 through the reminder module 15 coupled to the analysis module 14 according to the analysis of the analysis module 14, wherein the reminder information 23 can be a sound, a display reminder One or a combination of information 23 and vibration, so as to change the user's lifestyle.

In the display step S6 ′, the smart waist circumference system 100 displays the display information 24 through the display module 16 , and the display information 24 includes one or a combination of the analysis models 22 .

In the improvement step S7', the smart waistline system 100 provides the analysis models 22 to those with ordinary knowledge in the art, and provides improvement suggestions 25 according to the analysis models 22, so as to change the user's lifestyle.

In the recommending step S8 ′, the external device searches for a plurality of medical care product information 26 conforming to the improvement suggestion according to the improvement suggestion 25 , and recommends the medical care product information to the user through the external device.

In order to further understand the structural features of the present invention, the application of technical means and the expected effect, the actual implementation process of the present invention is described here.

Please refer to FIG. 13 in conjunction with FIG. 8 to FIG. 12 . FIG. 13 is a flowchart illustrating the steps of the actual execution process of the smart waist circumference system according to the first embodiment of the present invention. The actual implementation process of the smart waist circumference system 100 according to the present invention is described as follows: firstly, the wearing step S1 ′ is performed, and the waist circumference of the user is measured by wrapping the belt body 11 around the user’s torso near the waist; then, the measuring step S2 is performed. ', when the waist belt body 11 surrounds the user's torso near the waist, the waist circumference of the user is sensed through the waist circumference sensing module 12, and a plurality of waist circumference information 21 are generated; then the sending step S3' is executed, when the waist circumference sensing module After the group 12 generates the waist circumference information 21 , the smart waist circumference system 100 according to the present invention sends the waist circumference information 21 to the analysis module 14 built in the cloud through the communication module 13 for analysis by the analysis module 14 Then, the analysis step S4' is performed, and the analysis module 14 built in the cloud performs analysis according to the waist circumference information 21, and combines the waist circumference information with the insulin sensitivity index and blood glucose, triglyceride, cholesterol and lipoprotein. There is a correlation between them to establish a complex analysis model 22, which includes a waist circumference trajectory model 221, an insulin sensitivity index model 222, a blood sugar control model 223, a triglyceride model 224, a cholesterol model 225 and a lipoprotein model 226 ; After performing the reminding step S5', the smart waist circumference system 100 sends out a reminder information 23 through the reminder module 15 coupled to the analysis module 14 according to the analysis of the analysis module 14, wherein the reminder information 23 may be a sound , display the reminder information 23 and vibrate one or a combination of them, so as to change the life style of the user; at the same time, perform the display step S6 ′, through the display module 16 connected with the analysis module 14 information, it is displayed Display information 24, the display information 24 includes one of the analysis models 22 or a combination thereof; then the improvement step S7' is performed, and the smart waist circumference system 100 provides the analysis models 22 to those with ordinary knowledge in the field, which is According to the analysis models 22, improvement suggestions 25 are provided, so as to change the user's life style; finally, the recommendation step S8' is executed, and the external device searches for a plurality of health care product information 26 according to the improvement suggestions 25 according to the improvement suggestions 25, And through the external device, the medical and health care product information is recommended to the user.

Therefore, as can be seen from the above description, the present invention uses the waist circumference sensing module 12 to sense the waist circumference of the user, and the analysis module 14 performs analysis according to the waist circumference information 21 to establish a complex analysis model 22, thereby reducing the original need for The repetitive actions of manual operation can effectively reduce the manpower and time required to achieve the same effect. On the other hand, the present invention uses the analysis module 14 to establish a complex analysis model 22 according to the correlation between waist circumference information and insulin sensitivity index and blood glucose, triglyceride, cholesterol and lipoprotein. The iso-analysis model 22 includes a waist circumference trajectory model 221 , an insulin sensitivity index model 222 , a blood sugar control model 223 , a triglyceride model 224 , a cholesterol model 225 and a lipoprotein model 226 , thereby accurately analyzing the waist circumference changes of the user to generate a waist circumference trajectory The model achieves the effect of monitoring the user's blood sugar and blood lipids. In addition, since diabetic patients still believe that the decrease in individual activity and the accumulation of energy are important factors for the occurrence of insulin resistance, the smart waist circumference system 100 according to the first embodiment of the present invention is further sent out by the reminder module 15 A reminder information 23, wherein the reminder information 23 can be one or a combination of sound, display reminder information 23 and vibration, so as to change the user's life style, and achieve the effect of preventing and monitoring diabetes and hyperlipidemia.

(Second embodiment) Hereinafter, an embodiment of the second embodiment of the smart waistline system of the present invention will be described with reference to the drawings.

Please refer to FIG. 14 . FIG. 14 is a system schematic diagram of a smart waist circumference system according to a second embodiment of the present invention. Compared with the first embodiment, the main structural difference of the second embodiment is that the analysis module 14 of the smart waist circumference system 100 may further include a storage unit 141 and an artificial intelligence unit 142, and the storage unit 141 is coupled to Connected to the artificial intelligence unit 142, and the storage unit 141 is connected to the communication module 13 for information. The storage unit 141 is used to store the analysis model. The artificial intelligence unit 142 can use a supervised machine learning algorithm or an unsupervised Machine learning algorithms, such as Logistic Regression, Generative Adversarial Network, and Cluster Analysis, etc., but the present invention is not limited thereto. , however, the present invention is not limited to this.

After the analysis module 14 generates the complex analysis models 22 according to the waist circumference information 21 , the analysis models 22 are stored in the storage unit 141 , and the artificial intelligence unit 142 learns, understands and builds the analysis models 22 A disease risk assessment model 27, the disease risk assessment model 27 can be used as a basis for intervening in the user's lifestyle by persons with ordinary knowledge in the art, such as physicians, nutritionists, coaches, personal managers and instructors, etc. After the above-mentioned people with ordinary knowledge in the field intervene in the user's lifestyle, the artificial intelligence unit 142 according to the present invention can also generate a new disease risk assessment model 27, which is used by those with ordinary knowledge in the field to intervene in the user. basis of lifestyle. Wherein, the disease risk assessment model 24 may include risk indicators such as related risk of sleep apnea, colorectal polyps, colorectal cancer, fatty liver, etc., but the present invention is not limited to this.

In addition, please refer to FIG. 15 , which is a schematic structural diagram of a waist circumference sensing module according to a second embodiment of the present invention. In this embodiment, the waist circumference sensing module 12 senses the waist circumference of the user through a capacitive structure. As shown in FIG. 15 , the waist circumference sensing module 12 includes a plurality of insulating layers 124 , a plurality of The conductive layer 125 and the information acquisition unit 126 are alternately arranged to generate an initial capacitance value (not shown in the figure), and the insulating layers 124 and the conductive layers 125 are caused by the belt body 11 The change of the complex capacitance value (not shown) changes, the information acquisition unit 126 is coupled to the insulating layers 124 and the conductive layer 125, and the information acquisition unit is used to collect the initial capacitance value and the changed capacitance value to generate the waist circumference information 21 .

Therefore, the second embodiment can not only achieve the effect of the first embodiment, but also provide a different structure. In the second embodiment, the artificial intelligence unit 142 further learns and understands the analysis models 22 and establishes a disease risk assessment model 27, which is not only used for user reference, but also for those with ordinary knowledge in the field. , for example: physicians, nutritionists, coaches, personal managers and instructors, etc., which are used to intervene in the user's lifestyle, and are also used for follow-up diabetes tracking. In addition, according to the second embodiment of the present invention, since the waist circumference of the user is sensed by the capacitive display structure, in terms of accuracy, the second embodiment is more accurate than the first embodiment, and because the The waist circumference sensing module 12 of the second embodiment uses the capacitive display structure to sense the waist circumference of the user, so the breathing frequency of the user can be further sensed through the waist circumference information 21 , thereby tracking the movement of diabetic patients As well as sleep status, follow-up diabetes patients can be tracked more completely and accurately, so as to achieve the purpose of increasing the convenience and practicability of use.

……..公式(1)

…...公式(2) Please refer to FIG. 16 . FIG. 16 is a schematic diagram illustrating the use of the smart waist circumference system according to the second embodiment of the present invention. As shown in FIG. 16 , the waist circumference sensing module 12 according to the second embodiment of the present invention includes a plurality of insulating layers 124 and a plurality of conductive layers 125 , and the insulating layers 124 and the conductive layers 125 are alternately arranged to form The initial capacitance value is generated, and the numerical calculation method of the initial capacitance value conforms to the following formula (1), wherein the dielectric constant ε ₀ and the static dielectric constant ε _r are fixed values, so that the unit area A and the distance d are related to the initial capacitance When the user 200 exhales and inhales, the abdomen generates a force to push outward or the abdomen moves inward, causing the distance d between the unit areas to change and thus to generate a complex capacitance value C, wherein the change of the capacitance value C And the relationship between the distance d is as the following formula (2). Therefore, when the user 200 uses the smart waist circumference system 100 according to the second embodiment of the present invention, the waist circumference change caused by the user's exhalation and inhalation will also be accurately and clearly reflected on the waist circumference information 21 , thereby This enables the smart waist circumference system 100 of the second embodiment of the present invention to track the exercise status and sleep status of the diabetic patient according to the breathing rate of the user 200 , so as to more completely and accurately track the follow-up diabetes patient.

……..Formula 1)

...Formula (2)

Please refer to FIGS. 17 to 22 . FIG. 17 is a schematic diagram illustrating the values sensed by the information acquisition unit of the smart waist circumference system according to the second embodiment of the present invention. As shown in FIG. 17 , whenever the user exhales and inhales, the value sensed by the information acquisition unit 126 fluctuates significantly due to the change of the distance d between the unit areas, resulting in a complex capacitance value. The waist circumference is changed to generate a plurality of waist circumference information 21, so that the smart waist circumference system 100 according to the second embodiment of the present invention can generate the exercise intensity model 227 and The sleep model 228, wherein the exercise intensity model 227 is based on the frequency between the user's exhalation and inhalation to determine the exercise intensity of the user when exercising, and the sleep model 228 is based on the user's exhalation and inhalation. The frequency is used to determine whether the user is in a sleep state, so as to achieve the effect of accurately monitoring the exercise and sleep conditions of diabetic patients.

It should be further explained that, please refer to FIG. 19 and FIG. 20 , FIG. 19 is a diagram illustrating an exemplary relationship between the waist circumference information measured by the smart waist circumference system according to the second embodiment of the present invention and the digestive status; FIG. 20 An exemplary relationship diagram between the waist circumference information measured by the smart waist circumference system according to the second embodiment of the present invention and the activity level is illustrated. According to the smart waist circumference system according to the second embodiment of the present invention, it can further establish a digestion state model 229 and a momentum state model 230 according to the waist circumference information 21 . Wherein, the digestion state model 229 is related to the user's recent digestion state, and the digestion state is generated by matching the above-mentioned waist circumference trajectory model 221, insulin sensitivity index model 222 and blood sugar control model 223, etc. The digestion state model 229 may include, for example, : analysis of meal content and risk of gastroesophageal reflux. As shown in FIG. 19 , the digestion status model 229 can further indicate the daily eating time and digestion status of the user; the activity status model 230 is related to the user’s recent Activity status. These activity statuses are generated in conjunction with the above-mentioned exercise intensity model 227 and sleep model 228. The activity status model 230 may include, for example, analysis of long-term sitting, low-medium-high-intensity exercise status, and sleep, etc., as shown in the figure As shown in FIG. 20, the activity status model 230 can further indicate the daily activity time and activity status of the user, but the present invention is not limited to this.

It is worth mentioning that, in addition to the above-mentioned analysis model 22, the analysis model 22 can also be, for example, a fatty liver model, a colorectal polyp model, a cancer model, etc., but the present invention is not limited thereto.

It is worth mentioning that the risk assessment model 27 according to the present invention can also be, for example, a fatty liver risk model, a colorectal polyp risk model, a cancer risk model, etc., but the present invention is not limited thereto. It can be understood that those with ordinary knowledge in the technical field to which the present invention pertains can make various changes and adjustments based on the above examples, which will not be listed one by one here.

Specifically, the reminder module 15 is connected to the analysis module 14 for information, and the reminder module 15 is used to generate interference so as to change the life style of the user,

Please refer to FIG. 18 . FIG. 18 is a schematic diagram illustrating the structure of a smart waist circumference system according to a second embodiment of the present invention. In this embodiment, the reminder module 15 is a speaker, and the reminder module 50 emits sound to intervene so as to effectively change the user's life style. However, the present invention is not limited to this. In another preferred embodiment, the reminder module 50 is a display or a smart phone. When the reminder module 50 is a display, the communication module 13 sends the reminder to the reminder module 50. The module 50 sends out the reminder information 23, and by displaying the reminder information 23, the user is reminded to intervene, thereby effectively changing the user's life style; when the reminder module 50 is a smart phone, the communication module 13 is The reminder information 23 is sent to the reminder module 50, and the reminder module 50 is activated at the same time. The reminder module 50 emits sound and vibration, so as to remind the user to intervene and effectively change the user's life style. In addition, the reminder module 50 can be selected from one or a combination of a speaker, a smart phone, and a display.

Specifically, the display module 16 according to the second embodiment of the present invention may be one of an organic light emitting diode display (OLED), a light emitting diode display (LED), or a quantum dot display (QLED). Not limited to this. In this embodiment, the display module 16 is connected with the analysis module information, and the display module 16 is used to display the analysis models 22 for the user's reference.

Please refer to FIG. 21 in conjunction with FIG. 14 to FIG. 22 . FIG. 21 is a block diagram illustrating the steps of the analysis method of the smart waistline system according to the second embodiment of the present invention; the present invention is based on the smart waistline system 100 , and further An analysis method for implementing the smart waist circumference system 100 is provided, which includes the following steps:

In the wearing step S1 ″, the waist belt body 11 is wrapped around the user's torso near the waist to measure the user's waist circumference, and then the measuring step S2 ″ is performed.

In the measurement step S2 ″, the waist circumference of the user is sensed through the waist circumference sensing module 12 , and the waist circumference information 21 is generated, and then the sending step S3 ″ is performed.

In the sending step S3 ″, the isometric waist circumference information 21 is sent to the analysis module 14 through the communication module 13 for analysis by the analysis module 14 , and then the analysis step S4 ″ is executed.

In the analysis step S4 ″, the analysis module 14 performs analysis according to the waist circumference information 21 , and establishes a complex analysis model 22 , and then executes the evaluation step S5 ″.

In the evaluation step S5 ″, the artificial intelligence unit 142 learns and understands the analysis models 22 , and establishes a disease risk evaluation model 27 , and then performs the evaluation step S6 ″ and the display step S7 ″.

In the reminding step S6 ″, the smart waistline system 100 sends out a reminder information 23 through the reminder module 15 coupled to the analysis module 14 according to the analysis of the analysis module 14 , wherein the reminder information 23 may be a sound, a display , and vibrate one or a combination of them, so as to change the user's lifestyle.

Displaying step S7 ″, through the display module 16 , which is coupled to the analysis module 14 , the display module 16 displays display information 24 , and the display information 24 includes the analysis model 22 and the disease risk assessment model 27 one or a combination of them.

In the improvement step S8 ″, the smart waistline system 100 provides the analysis models 22 to those with ordinary knowledge in at least one field, and provides improvement suggestions 25 according to the analysis models 22 , so as to change the user's life style .

In the recommending step S9 ″, the external device searches for a plurality of medical and healthcare product information 26 conforming to the improvement suggestion 25 according to the improvement suggestion 25 , and recommends the medical and healthcare product information to the user through the external device.

In the optimization step S10 ″, the user uses the smart waist circumference system to generate a time interval 28 , and after the time interval 28 , the analysis models 22 are provided again to those with ordinary knowledge in the field, which are based on the analysis models 22 Optimization information 29 is provided to further optimize disease risk assessment models 27 , improvement suggestions 25 , and healthcare commodity information 26 .

In order to further understand the structural features of the present invention, the application of technical means and the expected effect, the actual implementation process of the present invention is described here.

Please refer to FIG. 22 in conjunction with FIG. 14 to FIG. 21 . FIG. 22 is a flow chart illustrating the steps of the actual execution process of the smart waist circumference system according to the second embodiment of the present invention. The actual execution process of the smart waist circumference system 100 according to the second embodiment of the present invention is described as follows: firstly, the wearing step S1 ″ is performed, and the waist circumference of the user is measured by wrapping the belt body 11 around the user's torso near the waist circumference; Execute the measurement step S2'', when the waist belt body 11 is wrapped around the user's torso near the waist, the waist circumference of the user is sensed by the waist circumference sensing module 12, and a plurality of waist circumference information 21 are generated; then the sending step S3' is executed ', after the waist circumference sensing module 12 generates the waist circumference information 21, the smart waist circumference system 100 according to the present invention sends the waist circumference information 21 to the analysis module 14 built in the cloud through the communication module 13, so as to It is used for analysis by the analysis module 14; after that, the analysis step S4'' is executed, and the analysis module 14 built in the cloud performs analysis according to the waist circumference information 21, for example, the difference analysis of the waist circumference information 21 in different time intervals, and combined with the waist circumference information 21 The information 21 is correlated with the insulin sensitivity index and blood glucose control, triglycerides, cholesterol and lipoprotein to establish a complex analysis model 22, the analysis models 22 include a waist circumference trajectory model 221, an insulin sensitivity index model 222, a blood sugar control model 223, a triglyceride model 224, a cholesterol model 225, a lipoprotein model 226, an exercise model 227, a sleep model 228, a digestion state model 229, and an activity state model 230; then the evaluation step S5'' is executed, The artificial intelligence unit 142 learns and understands the analysis models 22 and establishes the disease risk assessment model 27; after that, the reminding step S6'' is executed, and the intelligent waist circumference system 100 is based on the analysis of the analysis module 14 and the disease risk assessment. The model 27 sends out a reminder information 23 through the reminder module 15 coupled to the analysis module 14, wherein the reminder information 23 can be one or a combination of sound, display, and vibration, so as to change the life style of the user At the same time, the display step S7'' is executed, by the display module 16 connected with the analysis module 14, the display information 24 is displayed, and the display information 24 includes the analysis model 22 and the disease risk assessment model 27. One or a combination thereof; after performing the improvement step S8'', the smart waist circumference system 100 provides the analysis models 22 to those with ordinary knowledge in the art, which provides improvement suggestions 25 according to the analysis models 22, So as to change the life style of the user; after that, the recommending step S9'' is executed, and the external device searches for a plurality of medical and health care product information 26 that meet the improvement suggestion 25 according to the improvement suggestion 25, and uses the external device to refer to these medical care products. The health care product information is recommended to the user; finally, the optimization step S10 ″ is executed. After the user uses the smart waist circumference system 100 in a time interval 28 , the smart waist circumference system 100 according to the present invention provides the analysis models 22 to the field again. Those with ordinary knowledge in the Further optimize the disease risk assessment model 27 , improvement suggestions 25 and health care product information 26 , so as to continuously provide users with updated and more user-friendly improvement suggestions 25 and health care product information 26 .

Thereby, the present invention has the following implementation effect and technical effect:

First, in the present invention, the waist circumference of the user is continuously sensed by the waist circumference sensing module 12, and the analysis module 14 performs analysis according to the waist circumference information 21 to establish a complex analysis model 22, so as to reduce the need for manual operation. It can effectively reduce the manpower and time required to achieve the same effect.

Second, the present invention uses the analysis module 14 to establish a complex analysis model 22 based on the correlation between the waist circumference information 21 and the insulin sensitivity index and blood glucose, triglyceride, cholesterol and lipoprotein. The iso-analysis model 22 includes a waist circumference trajectory model 221 , an insulin sensitivity index model 222 , a blood sugar control model 223 , a triglyceride model 224 , a cholesterol model 225 and a lipoprotein model 226 , thereby accurately analyzing the waist circumference changes of the user to generate a waist circumference trajectory The model achieves the effect of monitoring the user's blood sugar and blood lipids.

Thirdly, the present invention sends out a reminder information 23 through the reminder module 15, wherein the reminder information 23 can be one or a combination of sound, display, and vibration, so as to change the user's life style and achieve prevention and monitoring of diabetes. Efficacy of suffering from conditions that also cause hyperlipidemia.

Fourth, the present invention uses the artificial intelligence unit 142 to learn and understand the analysis model 22 and establish a disease risk assessment model 27. The disease risk assessment model 27 can be used as a person with ordinary knowledge in this field, such as: physicians, nutritionists , coaches, personal managers and instructors, etc., are used to intervene in the basis of the user's life style, whereby the present invention provides a potential low-cost implementation solution to extend the application of the disease risk assessment model 27 to home health care and mobile medical care product application.

Fifth, the present invention provides the analysis model 22 established by analyzing the waist circumference information 21 to those with ordinary knowledge in the field by means of an external device, and the ordinary knowledgeable person can provide improvement suggestions 25 according to the analysis models 22, so that changes can be made. The user's life style, and according to the improvement suggestion 25, the health care product information 26 that conforms to the improvement suggestion 25 is searched, and the medical care product information 26 is recommended to the user through the external device. Thereby, the present invention provides a business model that is more in line with the needs of users, and provides users with more accurate and professional medical product recommendations.

Sixth, after the user uses the smart waistline system for a period of time 28, the smart waistline system according to the present invention can provide the analysis models 22 to those with ordinary knowledge in the art again, which is based on the analysis models 22. The optimization information 29 is provided so as to further optimize the disease risk assessment model 27 , the improvement suggestions 25 and the healthcare product information 26 , so as to continuously provide users with updated and more user-friendly improvement suggestions 25 and healthcare product information 26 .

The embodiments of the present invention are described above by means of specific embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the scope of the present invention; all other equivalent changes or modifications made without departing from the spirit disclosed in the present invention shall be included in the following patent scope Inside.

100: Smart Waist System 11: Belt body 12: Waist Sensing Module 121: The first snap part 122: The second snap part 123: Sensing unit 124: Insulation layer 125: Conductive layer 126: Information Collection Unit 13: Communication module 14: Analysis module 141: Storage Unit 142: Artificial Intelligence Unit 15: Reminder module 16: Display module 21: Waist circumference information 22: Analytical Models 221: Waist Track Model 222: Insulin Sensitivity Index Model 223: Glycemic Control Model 224: Triglyceride Model 225: Cholesterol Model 226: Lipoprotein Model 227: Exercise Intensity Model 228: Sleep Model 229: Digestive Condition Model 230: Activity Status Model 23: Reminder information 24: Display information 25: Improvement suggestions 26: Healthcare Product Information 27: Disease risk assessment models 28: Time interval 29: Optimization information 200: user S1: Wearing steps S2: Measurement step S3: Send Step S4: Analysis step S1': Wearing steps S2': measurement step S3': send step S4': Analysis step S5': Reminder step S6': Display steps S7': Improvement steps S8': Recommended steps S1'': Wearing steps S2'': Measurement step S3'': send step S4'': Analysis step S5'': Evaluation step S6'': Reminder step S7'': Display steps S8'': Improvement steps S9'': Recommended steps S10'': Optimization step

1 is a system schematic diagram of a smart waistline system according to the present invention; 2 is a schematic diagram of the structure of the smart waistline system according to the present invention; 3 is a schematic diagram illustrating a waistline trajectory model established by a branch of the smart waistline system according to the present invention; 4 is a diagram illustrating the relationship between the waist circumference information measured by the smart waist circumference system according to the present invention and the insulin sensitivity index; 5A is a diagram illustrating the relationship between waist circumference information measured by the smart waist circumference system of the present invention and glucose in blood; 5B is a diagram illustrating the relationship between waist circumference information measured by the smart waist circumference system of the present invention and triglycerides in blood; 5C is a diagram illustrating the relationship between waist circumference information measured by the smart waist circumference system according to the present invention and cholesterol in blood; 5D is a diagram illustrating the relationship between waist circumference information measured by the smart waist circumference system according to the present invention and lipoproteins in blood; 6 is a block diagram illustrating the steps of the analysis method of the smart waistline system according to the present invention; 7 is a flow chart illustrating the steps of the actual execution process of the smart waist circumference system according to the present invention; 8 is a system schematic diagram of a smart waistline system according to the first embodiment of the present invention; 9 is a schematic structural diagram of a waist circumference sensing module according to a first embodiment of the present invention; 10 is a schematic diagram illustrating the values measured by the sensing unit of the smart waist circumference system according to the first embodiment of the present invention; 11 is a schematic diagram illustrating the structure of a smart waistline system according to the first embodiment of the present invention; 12 is a block diagram illustrating the steps of the analysis method of the smart waistline system according to the first embodiment of the present invention; 13 is a flow chart illustrating the steps of the actual execution process of the smart waist circumference system according to the first embodiment of the present invention; 14 is a system schematic diagram of a smart waist circumference system according to a second embodiment of the present invention; 15 is a schematic structural diagram of a waist circumference sensing module according to a second embodiment of the present invention; 16 is a schematic diagram illustrating the use of the smart waistline system according to the second embodiment of the present invention; 17 is a schematic diagram illustrating the values sensed by the information acquisition unit of the smart waistline system according to the second embodiment of the present invention; 18 is a schematic diagram illustrating the structure of a smart waistline system according to a second embodiment of the present invention; 19 is a diagram illustrating an exemplary relationship between waist circumference information measured by the smart waist circumference system according to the second embodiment of the present invention and digestive status; 20 is a diagram illustrating an exemplary relationship between the waist circumference information measured by the smart waist circumference system according to the second embodiment of the present invention and the status of the activity level 21 is a block diagram illustrating the steps of the analysis method of the smart waistline system according to the second embodiment of the present invention; FIG. 22 is a flow chart illustrating the steps of the actual execution process of the smart waist circumference system according to the second embodiment of the present invention.

100: Smart Waist System

11: Belt body

12: Waist Sensing Module

13: Communication module

14: Analysis module

Claims (3)

An analysis method for a smart waist circumference system, the analysis method includes the following steps: a wearing step, a belt body is wrapped around the user's torso near the waist to measure the user's waist circumference; a measuring step, a waist circumference sense The measuring module continuously senses the waist circumference of the user, and generates plural pieces of waist circumference information; in a sending step, the waist circumference information is sent to an analysis module through a communication module; in an analysis step, the analysis module is based on The waist circumference information forms a waist circumference trajectory model, and the waist circumference trajectory model is analyzed to establish a complex number analysis model; an improvement step is to provide the analysis models to at least a person with ordinary knowledge in the field, which is based on The analysis models provide an improvement suggestion so as to change the life style of the user; and a recommendation step, an external device searches for a plurality of health care product information that conforms to the improvement suggestion according to the improvement suggestion, and sends the information to the user through the external device. Such healthcare product information is recommended to users. The analysis method according to claim 1, further comprising: an evaluation step, using an artificial intelligence unit to learn and understand the analysis models and establish a disease risk evaluation model for the user's reference; a reminder step, the smart waist circumference system sends out a reminder information through a reminder module coupled to the analysis module according to the disease risk assessment model, so as to change the life style of the user; and a display step, through a display The module is coupled to the analysis module, the display module displays display information, and the display information includes one of the analysis model and the disease risk assessment model. The analysis method according to claim 1, further comprising an optimization step, which is generated after a user uses the smart waistline system for a time interval, and provides the analysis models to at least one book again after a time interval Those with general knowledge in the field provide an optimization suggestion based on the analysis models, so as to further optimize the improvement suggestion and the healthcare product information.

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