Apparatus and method for preventing obesity and regulating body weight using non-invasive blood glucose measurement

By monitoring blood glucose levels in real time with a non-invasive blood glucose measurement device and using wearable devices to display indicator lights to adjust diet and activity levels, the side effects of weight regulation and obesity prevention are solved, enabling personalized healthy weight management.

CN116807460BActive Publication Date: 2026-05-29崔明奭

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
崔明奭
Filing Date
2023-02-16
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing technologies are not effective in regulating weight and preventing obesity, and conventional methods may have side effects, especially weight changes within the standard weight range, which also pose health risks.

Method used

Real-time monitoring of blood glucose levels via non-invasive blood glucose measurement devices, displaying blood glucose signal lights using wearable devices, and adjusting diet and activity levels based on blood glucose levels enable personalized weight management.

Benefits of technology

It effectively regulates weight, reduces side effects, provides a scientific and convenient weight management method, is suitable for different weight change needs, and reduces health risks.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention provides a device and method for preventing obesity and regulating body weight using non-invasive blood glucose measurement, the device comprising: a sensing unit that generates lifestyle pattern biological information by detecting motion sensing information and body information; a storage unit that stores biological information, motion standard model information, blood glucose measurement information, and blood glucose measurement synthesis information; a blood glucose measurement unit that measures blood glucose of a user in real time by non-invasive blood glucose measurement to acquire blood glucose measurement information; a personal matching unit that compares the amount of blood glucose measured by the blood glucose measurement unit with blood glucose amount synthesis information stored in the storage unit according to an externally input or preset blood glucose level range and increase / decrease information; a blood glucose level processing unit that outputs a personal matching result in real time using a comparison result of the personal matching unit; and an output unit that outputs the personal matching result output from the blood glucose level processing unit to the outside so that the outside can recognize.
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Description

Technical Field

[0001] This invention relates to an apparatus and method for preventing obesity and regulating weight, and more particularly to an apparatus and method for preventing obesity and regulating weight with the following features: the apparatus and method utilize blood glucose values ​​measured by non-invasive blood glucose measurement to regulate food intake and activity levels to maintain blood glucose levels suitable for the individual's condition, thereby effectively regulating and managing weight gain or loss. Background Technology

[0002] In modern society, obesity and excessive weight are caused by overeating due to Westernized food intake, lack of exercise, and excessive stress. As a result, many people want to lose weight. On the other hand, people who have lost weight rapidly due to wasting diseases, cancer treatment, and other side effects need to gain weight. However, it is difficult to gain weight through normal methods, which often leads to a situation where health cannot be restored.

[0003] In situations where opposite weight loss or weight gain is desired, various methods such as dietary adjustments, exercise, and medication may be tried. However, excessive dietary adjustments, medication, and exercise can produce side effects and damage health, and it is relatively difficult to achieve effective results. In fact, it is difficult for any method to achieve sustained results.

[0004] In addition, reports indicate that even within the standard weight range, a significant increase in weight between the ages of 18 and 20 increases the risk of developing diabetes, gout, liver disease, and other conditions by about 40%, raising serious concerns that even at a standard weight, it is not safe to be at risk.

[0005] Therefore, existing methods, which simply use weight gain or loss and obesity rates such as body fat percentage as standards for preventing obesity and regulating weight, can cause many side effects, resulting in low efficiency in regulating weight and preventing obesity.

[0006] Therefore, we know that although the development of medical technology has brought a lot of information, the current narrow medical field alone cannot solve the problem of managing weight changes and obesity with various causes and reasons. The urgent task is to need more fundamental scientific evidence to improve lifestyles such as diet and exercise to regulate weight and prevent obesity. Summary of the Invention

[0007] Technical issues

[0008] The present invention was invented to solve the above-mentioned problems. Its purpose is to provide an apparatus and method for preventing obesity and regulating weight, wherein the apparatus and method utilize blood glucose values ​​measured by non-invasive blood glucose measurement to regulate the amount of food consumed and the amount of activity to maintain blood glucose levels suitable for the individual's condition, thereby effectively regulating and managing weight gain or loss.

[0009] The purpose of this invention is to provide an apparatus and method for preventing obesity and regulating weight, wherein the apparatus and method manage food intake and activity levels by confirming blood glucose levels through real-time measurement and display of non-invasive blood glucose measurement.

[0010] The purpose of this invention is to provide a device and method for preventing obesity and regulating weight, wherein the device and method measure blood glucose levels in real time through a wearable device worn on the user's body, and display the individual's blood glucose level on a signal light according to the degree of rise and fall of blood glucose levels, thereby enabling the management of weight regulation and obesity prevention through lifestyle changes such as improving diet and exercise.

[0011] The objectives of this invention are not limited to those described above. Other objectives and advantages of this invention not mentioned can be understood from the following description and can be more clearly understood from the embodiments of this invention. Furthermore, it is readily apparent that the objectives and advantages of this invention can be achieved through the solutions and combinations thereof in the claims of the patent application.

[0012] Technical solution

[0013] The device for preventing obesity and regulating weight using non-invasive blood glucose measurement according to the present invention, in order to achieve the aforementioned objective, is characterized by comprising: a sensing unit that generates lifestyle bio-information by detecting motion sensing information and body information; a storage unit that stores lifestyle bio-information including the motion sensing information and body information generated by the sensing unit, and stores motion standard model information for judging the user's state by comparing with the motion sensing information, and also stores blood glucose measurement information including blood glucose measurement values ​​obtained by a blood glucose measurement unit and comprehensive blood glucose information used as a comparison object after comparing with the blood glucose measurement information, for corresponding to blood glucose levels for judging weight gain or weight loss for each user; a measurement unit that acquires blood glucose measurement information by measuring the user's blood glucose in real time through non-invasive blood glucose measurement; a personal matching unit that compares the blood glucose measured by the blood glucose measurement unit with the comprehensive blood glucose information stored in the storage unit according to external input or preset blood glucose level range and increase / decrease information; a blood glucose level processing unit that outputs personal matching results in real time using the comparison results of the personal matching unit; and an output unit that outputs the personal matching results output by the blood glucose level processing unit to the outside so that the outside can recognize them.

[0014] To achieve the aforementioned objective, according to the present invention, a method for preventing obesity and regulating weight using non-invasive blood glucose measurement is characterized by: (A) detecting motion sensing information and body information using a sensing unit and generating lifestyle bio-information associated with visual information; (B) acquiring blood glucose measurement information by non-invasively measuring the user's blood glucose in real time using a blood glucose measurement unit; (C) comparing the blood glucose level measured in the blood glucose measurement unit 40 with comprehensive blood glucose information stored in the storage unit 20 using a personal matching unit based on a blood glucose level range and increment / decrease information input by the user or preset; (D) outputting the personal matching result in real time using a blood glucose level processor in response to the comparison result of the personal matching result; and (E) outputting the matching result to the outside using an output unit so that the outside can recognize the output matching result.

[0015] Preferably, step (D) includes: a first judgment stage, which determines the state or condition of a user's movement by comparing motion sensing information sensed by the sensing unit with preset motion standard model information; a second judgment stage, which determines whether a user's movement belongs to a specific state or condition by comparing body information sensed by the sensing unit with preset body information standard model information; and a step of generating lifestyle adjustment information corresponding to the determined user state information based on the first and second judgment results.

[0016] Invention Effects

[0017] As described above, the apparatus and method for preventing obesity and regulating weight using non-invasive blood glucose measurement according to the present invention have the following effects:

[0018] 1. By using blood glucose levels measured through non-invasive blood glucose measurement to regulate food intake and activity levels, blood glucose levels can be maintained at a level suitable for one's own condition, thereby effectively regulating and managing weight gain or loss.

[0019] Second, by using non-invasive blood glucose measurement to monitor blood glucose levels in real time, and then managing food intake and activity levels, side effects during obesity prevention and weight management can be reduced, thus providing effective management.

[0020] Third, based on the real-time measurement of blood glucose levels and the degree of rise and fall of sugar levels through wearable devices worn on the user's body, the individual's blood glucose level is displayed on the indicator light. This enables the management of weight regulation and obesity prevention through lifestyle improvements such as diet and exercise, thus bringing convenience and ease to the management process.

[0021] In addition to the effects described above, the specific effects of the present invention will be described together with the following description of the specific aspects of implementing the invention. Attached Figure Description

[0022] Figure 1 and Figure 2 This is a diagram showing the configuration of a device for preventing obesity and regulating weight using non-invasive blood glucose measurement according to an embodiment of the present invention;

[0023] Figure 3 This is a flowchart illustrating a method for preventing obesity and regulating weight using non-invasive blood glucose measurement according to an embodiment of the present invention;

[0024] Figure 4 It is displayed Figure 3 The flowchart shows the process by which the blood glucose level processing unit generates lifestyle regulation information.

[0025] (Explanation of reference numerals in the attached diagram)

[0026] 10: Sensing unit; 20: Storage unit

[0027] 30: Input section 40: Blood glucose measurement section

[0028] 50: Personal Matching Department; 60: Blood Glucose Level Processing Department

[0029] 70: Output section 80: Battery section Detailed Implementation

[0030] Other objects, features and advantages of the present invention will become apparent from the detailed description of the embodiments with reference to the accompanying drawings.

[0031] The terminology used in this invention is selected from widely used general terms in consideration of the function of this invention, but this may vary depending on the intent or precedent of those skilled in the art, the emergence of new technologies, etc. Furthermore, in some cases, there are terms arbitrarily chosen by the applicant; in such cases, their meanings will be described in detail in the description of the corresponding invention. Therefore, the terminology used in this invention should not be merely terminology names, but should be defined based on the meaning of the term and the entire content of this invention.

[0032] Throughout the specification, when a section "contains" a component, it means that, unless specifically objected, other components will be included, not excluded. Furthermore, terms such as "...section" or "module" used in the specification refer to units that perform one or fewer functions or actions, which can be implemented in hardware or software, or a combination of both.

[0033] Hereinafter, with reference to the accompanying drawings, preferred embodiments of the device and method for preventing obesity and regulating weight using the non-invasive blood glucose measurement of the present invention will be described. The present invention is not limited to the embodiments disclosed below and can be implemented in different forms; however, these embodiments are intended to fully disclose the invention and to completely inform those skilled in the art of its scope. Accordingly, it should be understood that the embodiments described in this specification and the configurations shown in the accompanying drawings are merely the most preferred embodiments of the present invention and do not represent all the technical principles of the invention. Therefore, various equivalents and modifications may be substituted for them in this application.

[0034] If a component is described below as being “connected,” “combined,” or “connected” to other components, then the components may be directly connected or connected, but other components may be “interlocked” between each component, or each component may be “connected,” “combined,” or “connected” through other components.

[0035] Figure 1 and Figure 2 This diagram illustrates the configuration of a device for preventing obesity and regulating weight using non-invasive blood glucose measurement according to an embodiment of the present invention. At this time, using... Figure 2 The components shown in the non-invasive blood glucose measurement device for obesity prevention and weight management are according to one embodiment, but are not limited to these components. Figure 2 The embodiments shown are illustrated, and components can be added, changed, or deleted as needed.

[0036] like Figure 1 As shown, the device 1 for preventing obesity and regulating weight of the present invention can be made of wearable form such as a wrist-worn smartwatch worn on the user's body.

[0037] In addition, such as Figure 2 As shown, the device 1 for preventing obesity and regulating weight of the present invention may include a sensing unit 10, a storage unit 20, an input unit 30, a blood glucose measuring unit 40, a personal matching unit 50, a blood glucose level processing unit 60, an output unit 70, and a battery unit 80.

[0038] The sensing unit 10 detects motion sensing information and body information, and generates lifestyle biometric information associated with the visual information. Motion sensing information is obtained by detecting the movement of the user's arm, etc., through a gyroscope or accelerometer, and can be used to determine the user's physical activities such as eating, sleeping, or exercising. Furthermore, body information refers to information obtained by detecting the user's body temperature, heart rate, blood oxygen concentration, etc., through heart rate sensors, body temperature sensors, blood oxygen concentration sensors, GPS sensors, etc., and refers to information about the user's health status.

[0039] As an example, lifestyle biometrics can include, along with visual information, information generated from motion sensing, such as the user's bedtime, wake-up time, start and end of meals, start and end of movement, distance and speed of movement, and number of steps, as well as information generated from body information, such as light REM sleep, deep sleep, heart rate information such as heart rate per unit time, blood oxygen concentration, user body temperature, and food intake.

[0040] Therefore, the sensing unit 10 may include various sensors such as a heart rate pulse sensor, a gyroscope, a magnetospeed sensor, a body temperature sensor, a blood oxygen concentration sensor, and a GPS sensor. Accordingly, the heart rate pulse sensor, prepared to acquire the user's biological information, obtains heart rate information by detecting the user's heart rate status, similar to measuring heart rate. The blood oxygen concentration sensor obtains blood oxygen concentration information by measuring the oxygen concentration in the user's blood. Furthermore, the GPS sensor informs the user of their current location and tracks the total distance traveled throughout the day to obtain tracking information such as travel distance, speed, and steps.

[0041] The storage unit 20 stores lifestyle bio-information including motion sensing information and body information generated by the sensing unit 10, and stores motion standard model information for comparing with the motion sensing information to determine the user's state. It also stores blood glucose measurement information including blood glucose measurement values ​​obtained by the blood glucose measurement unit 40 and blood glucose comprehensive information used as a comparison object after comparing with the blood glucose measurement information, which is used to determine the blood glucose level for each user to gain or lose weight.

[0042] The comprehensive blood glucose information is defined as follows: for weight loss, a fasting blood glucose level of 70 mg / dL to 100 mg / dL is defined; for postprandial weight gain, a blood glucose level of 100 mg / dL to 140 mg / dL is defined; a level above 140 mg / dL is defined as a level that can lead to significant weight gain; and a level above 200 mg / dL may indicate diabetes.

[0043] The input unit 30 receives the required information from the user, allowing the user to input information such as selectively setting a range for blood sugar levels based on the comprehensive personal blood sugar information stored in the storage unit 20, or selecting and adjusting weight gain or loss. In the case of a wrist-worn type input unit 30, it can be configured as a push-button switch on both sides or a touchpad on a display.

[0044] The blood glucose detection unit 40 acquires blood glucose detection information by non-invasively detecting the user's blood glucose level in real time. At this time, the blood glucose measurement information is the information obtained by the blood glucose measurement unit 40 from measuring the user's blood glucose level, which includes information such as the blood glucose measurement time and the blood glucose measurement value. The blood glucose measurement unit 40 generates blood glucose measurement information that associates the measured blood glucose value with the blood glucose measurement time. Here, the blood glucose measurement time refers to the time when the blood glucose level was measured.

[0045] When worn on the wrist, the blood glucose measuring unit 40 can measure blood glucose concentration at the wrist using non-contact methods such as Raman spectroscopy, ultra-shortwave electromagnetic waves, or infrared light. The Raman spectroscopy device is a core component of a recently researched watch-type non-invasive glucose meter, which allows for convenient wearing and measurement, hence it is called a "smartwatch-type blood glucose meter." Therefore, the blood glucose measuring unit 40 is not limited to any particular configuration and can measure blood glucose levels using various non-contact methods.

[0046] The personal matching unit 50 compares the blood glucose level measured in the blood glucose measurement unit 40 with the comprehensive blood glucose level information stored in the storage unit 20 based on the blood glucose level range and increase / decrease information input or preset in the input unit 30.

[0047] The blood glucose level processing unit 60 outputs the matching results for each user in real time using the comparison results from the individual matching unit 50. Furthermore, the blood glucose level processing unit 60 can also generate more effective lifestyle regulation information for adjusting users' diet, exercise, and activity levels based on the lifestyle bioinformation detected by the detection unit 10, thereby matching the user's blood glucose level with the comprehensive blood glucose information of each user.

[0048] To generate information for regulating lifestyle patterns, the blood glucose level processing unit 60 can compare the motion sensing information detected by the sensing unit 10 with preset motion standard model information to determine the type or state of the user's exercise. Furthermore, to generate information for regulating lifestyle patterns, the blood glucose level processing unit 60 can compare the body information detected by the sensing unit 10 with preset body information standard model information to determine whether the user's health status or state is related to activities such as food intake, sauna use, or sleep.

[0049] Furthermore, the blood glucose level processing unit 60 can generate lifestyle adjustment information based on the determined user status information. For example, when comparing the determined motion sensing information and body information with motion standard model information and body information standard model information, if it is determined that the arm movement is during eating and food is being ingested, lifestyle adjustment information for ending food intake can be generated, or lifestyle adjustment information for maintaining continuous food intake can be generated.

[0050] The output unit 70 outputs to the outside so that the outside can recognize the matching result of the personal matching unit 50 provided by the blood glucose level processing unit 60. Furthermore, the output unit 70 can also output lifestyle regulation information generated by the blood glucose level processing unit 60 to the outside so that the outside can recognize it. In this case, if the output unit 70 is wrist-worn, it can enable the user to perform visual, auditory, and / or tactile recognition through at least one output from a display, speaker, and vibrator.

[0051] As an example, when the goal is weight loss, the visual output uses colored indicator lights. A fasting blood glucose level of 70 mg / dL to 100 mg / dL (representing weight loss) is displayed in green; 100 mg / dL to 140 mg / dL (representing minimal post-meal weight gain) is displayed in yellow; and 140 mg / dL or higher (representing significant weight gain) is displayed in red. However, levels above 200 mg / dL may indicate the possibility of diabetes.

[0052] However, if the purpose is to increase meat size, the green and red colors can be set to be displayed in opposite directions based on the increase or decrease information input by the input unit 30, but this is not the only option.

[0053] Therefore, users aiming to lose weight should try to maintain a green color throughout most of the day. At the same time, as the blood sugar level changes according to the color indicator, they should reduce their intake of carbohydrate-rich foods that raise blood sugar levels and eat slowly to prevent the color indicator from turning from green to red.

[0054] For example, if the color indicator turns red, stop eating and induce a drop in blood sugar levels by consuming only calorie-free beverages such as water or engaging in activities like walking or strolling after meals. For reference, walking for 10 minutes after a meal can lower blood sugar by 10% to 20%. Furthermore, if the color indicator turns yellow due to a rise in blood sugar caused by snacking or other non-dietary activities, increasing activity levels within a short period can help lower blood sugar levels back to the fasting blood sugar level (green).

[0055] In addition, if blood sugar rises faster and the color indicator light turns red faster after consuming a certain food, then weight gain and obesity can be prevented by intentionally avoiding that food in the future.

[0056] The battery unit 80 provides power to the sensing unit 10, storage unit 20, input unit 30, blood glucose measurement unit 40, personal matching unit 50, blood glucose level processing unit 60, and output unit 70 to enable and drive them. These battery units 80 may include rechargeable batteries, dry cell batteries, solar cells, etc.

[0057] The method for preventing obesity and regulating weight according to the present invention, configured as described above, using non-invasive blood glucose measurement, will be described in detail below with reference to the accompanying drawings. Figure 1 or Figure 2 The same reference mark refers to the same component that performs the same function.

[0058] Before we begin, the comprehensive blood glucose information used to prevent obesity and regulate weight, which is matched to the user's blood glucose level, is a value derived by taking into account food intake and the relationship between blood glucose and insulin.

[0059] In detail, the fasting blood glucose of a normal (non-diabetic) person is 70-100 mg / dl, and the highest blood glucose after food intake is 200 mg / dl. Above this level, it is considered diabetes. In normal people, blood glucose begins to rise within 10 minutes after food intake and returns to normal (below 140 mg / dl) within 2-3 hours. During this process, insulin plays a role.

[0060] One important point to note here is that for healthy individuals without diabetes, blood sugar levels will never drop below 70, no matter how much they decrease. Therefore, this phenomenon occurs if blood sugar falls below a certain level... glucagon After catabolichormon is secreted, it triggers gluconeogenesis by using stored glucose (glycogen) and breaking down fat, leading to an increase in blood sugar. This process can prevent fatal hypoglycemic shock.

[0061] This process demonstrates that maintaining blood glucose levels (maximum 100-140 mg / dL) without falling into hypoglycemic shock and without a sharp increase in insulin secretion after meals can effectively reduce body fat and weight. Conversely, when gaining weight or needing to gain muscle for health reasons, if blood glucose levels (100-140 mg / dL) can be maintained for a certain period without overburdening the pancreas with excessive insulin secretion, the desired weight gain can be achieved through the anabolic effects of insulin.

[0062] This invention achieves a scientific, efficient, and body-friendly approach to preventing obesity and regulating weight by comparing a standardized blood glucose level with measured blood glucose levels. However, this invention is only applicable to healthy individuals. In cases of pre-existing diabetes, impaired insulin secretion, or poor insulin sensitivity, inhibiting or promoting insulin secretion using this invention may sometimes lead to hypoglycemia or hyperglycemic shock, and therefore is not suitable.

[0063] Figure 3This is a flowchart illustrating a method for preventing obesity and regulating weight using non-invasive blood glucose measurement according to an embodiment of the present invention.

[0064] At this point, the method of the present invention for preventing obesity and regulating weight by using non-invasive blood glucose measurement can be operated by the configuration of a sensing unit 10, a storage unit 20, an input unit 30, a blood glucose measurement unit 40, a personal matching unit 50, a blood glucose level processing unit 60, a power unit 70 and a battery unit 80 equipped in a wearable device for preventing obesity and regulating weight worn on the user's body.

[0065] Reference Figure 3 First, the sensing unit 10 senses motion sensing information and body information, and generates lifestyle bio-information associated with visual information (S10).

[0066] At this point, motion sensing information is obtained by sensing the movement of the user's arms, etc., using gyroscopes or accelerometers, and can be used to determine the user's physical activity such as eating, sleeping, or exercising. In addition, body information is obtained by detecting the user's body temperature, heart rate, blood oxygen concentration, etc., using heart rate sensors, body temperature sensors, blood oxygen concentration sensors, GPS sensors, etc., and refers to information about the user's health status.

[0067] Additionally, the blood glucose measurement unit 40 measures the user's blood glucose level in real time using a non-invasive method, obtaining blood glucose measurement information (S20). At this time, the blood glucose measurement information is the information obtained by the blood glucose measurement unit 120 from measuring the user's blood glucose level, which includes information such as the blood glucose measurement time and the blood glucose measurement value. Then, blood glucose measurement information is generated that associates the measured blood glucose value with the blood glucose measurement time. Here, the blood glucose measurement time refers to the time when the blood glucose level was measured.

[0068] Next, using the personal matching unit 50, the blood glucose level measured by the blood glucose measurement unit 40 is compared with the comprehensive blood glucose level information stored in the storage unit 20 based on the blood glucose level range and increase / decrease information input by the user or preset. (S30)

[0069] At this point, the range of blood glucose levels can include the range of blood glucose levels (fasting blood glucose) for each person who is losing weight, the range of blood glucose levels for those who are gaining little weight, and the range of blood glucose levels for those who may gain weight due to a sharp increase in insulin secretion, all stored in the storage unit 20. Furthermore, the increase / decrease information can include information selected by the user for choosing and adjusting weight gain / decrease.

[0070] Then, the blood glucose level processing unit 60 uses the comparison results from the personal matching unit 50 to output the personal matching results in real time (S40). Furthermore, the blood glucose level processing unit 60 can also generate more effective lifestyle regulation information for adjusting the user's diet, exercise, and activity levels based on the lifestyle bioinformation detected by the detection unit 10, so that the user's blood glucose level matches the user's overall blood glucose information.

[0071] Figure 4 It is displayed Figure 3 The flowchart shows the process by which the blood glucose level processing unit generates lifestyle regulation information.

[0072] like Figure 4 As shown, the generation of the lifestyle adjustment information first determines the state or condition of the user's movement by comparing the motion sensing information detected by the sensing unit 10 with the preset motion standard model information (first determination) (S41).

[0073] Then, the body information detected by the sensing unit 10 is compared with the preset body information standard model information to determine whether the user's health status or condition is in a specific state such as eating, sauna, or sleeping (second judgment) (S42).

[0074] Based on the first and second judgment results, lifestyle adjustment information corresponding to the judged user status information is generated (S43).

[0075] As an example, when the motion sensing information and body information are compared with the motion standard model information and body information standard model information, if it is determined that the arm movement is during eating and food is being ingested, lifestyle regulation information that ends food intake can be generated, or lifestyle regulation information that maintains continuous food intake can be generated.

[0076] Next, the matching result output by the blood glucose level processing unit 60 is output to the outside via the output unit 70 for external recognition (S50). Furthermore, the output unit 70 can also output lifestyle regulation information generated by the blood glucose level processing unit 60 to the outside for external recognition.

[0077] In this case, if the output unit 70 is wrist-worn, it can enable the user to perform visual, auditory, and / or tactile recognition through at least one output from the display, speaker, and oscillator.

[0078] In the output unit 70, the display will always show that when the color indicator light changes, the user (wearer) can be notified of the color change of the color indicator light through vibration and / or a speaker. However, the operational relationship between the display, speaker, and vibrator is only one embodiment and is not limited thereto; it can be applied to various embodiments.

[0079] As an example, when the goal is weight loss, the visual output uses colored indicator lights. A fasting blood glucose level of 70 mg / dL to 100 mg / dL (representing weight loss) is displayed in green; 100 mg / dL to 140 mg / dL (representing minimal post-meal weight gain) is displayed in yellow; and 140 mg / dL or higher (representing significant weight gain) is displayed in red. However, levels above 200 mg / dL may indicate the possibility of diabetes.

[0080] However, if the purpose is to increase meat size, the green and red colors can be set to be displayed in opposite directions based on the increase or decrease information input by the input unit 30, but this is not the only option.

[0081] Therefore, users aiming to lose weight should try to stay in the green zone for most of the day, reducing their intake of carbohydrate-rich foods that raise blood sugar levels as the color indicator changes, and eating slowly to prevent the color indicator from turning from green to red.

[0082] For example, if the color indicator turns red, stop eating and induce a drop in blood sugar levels by consuming only beverages without water or other calories, or by walking or strolling after meals. For reference, walking for 10 minutes after a meal can lower blood sugar by 10% to 20%. Furthermore, if the color indicator turns yellow due to a rise in blood sugar caused by snacking or other non-dietary activities, you can increase your activity level in a short period to bring your blood sugar level back down to the fasting blood sugar level (green).

[0083] Conversely, for users aiming to gain weight and build muscle, if they can easily maintain a blood sugar level above the yellow indicator (100-140 mg / dL) for a certain period of time each day, maintaining an anabolistic state due to the continuous supply of insulin, they can gain muscle. That is, if blood sugar drops to the green indicator, they can raise it back to yellow by consuming small amounts of food.

[0084] Furthermore, the output unit 70 can enable the user to perform visual, auditory, and / or tactile recognition through at least one of the display, speaker, and oscillator, thereby allowing for more effective adjustment when the color indicator light changes (from green to yellow, or from yellow to red, or vice versa), by guiding the screen gaze through vibration or sound at the output unit 70.

[0085] On the other hand, the apparatus according to the disclosed embodiments may include a processor, memory for storing and executing program data, permanent storage such as a disk drive, a communication port for communicating with external devices, a touchscreen, a key, a user interface device such as a button, etc. Methods implemented by software modules or algorithms can be stored on a computer-readable recording medium as code or program commands, and can be executed on the processor. The medium can be read by a computer, stored in memory, and executed on the processor.

[0086] All documents, including published documents, patent applications, patents, etc., cited in the published embodiments, may be displayed separately and specifically with each cited document, or may be displayed in the same way as the overall publication embodiments.

[0087] Reference numerals have been used in the preferred embodiments shown in the accompanying drawings for the purpose of understanding the disclosed embodiments, and specific terms have been used to describe the disclosed embodiments. However, the disclosed embodiments, as described by the specific terms, are not limited thereto. The disclosed implementation examples may include all components that would normally be conceived by one of ordinary skill in the art.

[0088] The disclosed embodiments can be shown as functional blocks and various processing steps. Such functional blocks can be implemented by different numbers of hardware and / or software components performing specific functions. For example, the disclosed embodiments may employ additional circuitry such as memory, processing, logic, and lookup tables, which can perform various functions through the regulation of one or more microprocessors or other regulating devices. Similar to software programming or software elements, the disclosed embodiments may include various algorithms implemented using combinations of data structures, processes, routines, or other programming languages, such as C, C++, Java, and assembler. Furthermore, functional aspects can be implemented by algorithms running on one or more processors. In addition, the disclosed embodiments can utilize existing technologies for electronic environment setup, signal processing, and / or data processing. Terms such as "mechanism," "element," "method," and "construction" are used broadly and are not limited to mechanical and physical constructions. These terms may include the meaning of a series of processes (routes) associated with software such as processors.

[0089] The specific implementations described in the disclosed embodiments are one example and are not intended to limit the scope of the disclosed embodiments in any way. Descriptions of existing electronic configurations, control systems, software, and other functional aspects of said systems may be omitted for brevity. Furthermore, the connections of lines or connecting parts between components shown in the drawings exemplify functional and / or physical or electrical connections only; these may be shown in various alternative or additional forms of functional, physical, or electrical connections in actual devices. Additionally, components not specifically mentioned as "essential," "important," etc., may not be essential for the application of the disclosed embodiments.

[0090] Furthermore, those skilled in the art will understand that various embodiments can be implemented within the scope of the technical spirit of this invention. Therefore, the true scope of protection of this invention should be determined by the technical spirit of the appended patent claims.

Claims

1. A device for preventing obesity and regulating weight using non-invasive blood glucose measurement, characterized in that, include: The sensing unit generates lifestyle biometrics by detecting motion sensing information and body information; The storage unit stores lifestyle biological information including motion sensing information and body information generated by the sensing unit, and stores motion standard model information that is compared with the motion sensing information to determine the user's state. It also stores blood glucose measurement information including blood glucose measurement values ​​obtained by the blood glucose measurement unit and blood glucose comprehensive information that is compared with the blood glucose measurement information as a comparison object, which is used to determine the blood glucose level for each user to gain or lose weight. The blood glucose measurement unit obtains blood glucose measurement information by measuring the user's blood glucose in real time through non-invasive blood glucose measurement. The personal matching unit compares the blood glucose level measured by the blood glucose measurement unit with the comprehensive blood glucose level information stored in the storage unit based on external input or preset blood glucose level range and increase / decrease information; The blood glucose level processing unit outputs individual matching results in real time based on the comparison results from the individual matching unit, and The output unit outputs the individual matching results from the blood glucose level processing unit to an external source so that the external system can recognize them. The output section, When a user aims to lose weight, a color indicator light is used. When the blood sugar level for weight loss is between 70 mg / dl and 100 mg / dl, it is displayed in green. When the blood sugar level for post-meal weight gain is between 100 mg / dl and 140 mg / dl, it is displayed in yellow. When the blood sugar level for weight gain is above 140 mg / dl, it is displayed in red. When a user's goal is to gain weight, the green and red colors are reversed based on the input information.

2. A method for preventing obesity and regulating weight using non-invasive blood glucose measurement, characterized in that, include: (A) A step of detecting motion sensing information and body information using a sensing unit and generating lifestyle bio-information associated with visual information; (B) A step of obtaining blood glucose measurement information by non-invasively measuring the user's blood glucose in real time using a blood glucose measurement unit; (C) The step of comparing the blood glucose level measured in the blood glucose measurement unit (40) with the blood glucose level comprehensive information stored in the storage unit (20) based on the blood glucose level range and increase / decrease information input by the user or preset by the personal matching unit; (D) The step of outputting the personal matching result in real time using the blood glucose level processor in response to the comparison result of the personal matching unit; and (E) The step of outputting the matching result to the outside using the output unit so that the outside can recognize the output. In step (E), When a user aims to lose weight, a color indicator light is used. The light is green when the fasting blood glucose level is between 70 mg / dl and 100 mg / dl, which is the standard for weight loss; yellow when the postprandial blood glucose level is between 100 mg / dl and 140 mg / dl, which is the standard for weight loss; and red when the postprandial blood glucose level is above 140 mg / dl, which is the standard for weight gain. When the user's goal is to gain weight, the green and red colors will be displayed in opposite directions based on the input information.

3. The method for preventing obesity and regulating weight using non-invasive blood glucose measurement according to claim 2, characterized in that, Step (D) includes: The first stage of motion determination involves comparing the motion sensing information detected by the sensing unit with preset motion standard model information to determine the state or condition of the user's motion. The second judgment stage involves comparing the body information sensed by the sensor with preset body information standard model information to determine whether it belongs to a specific state of the user's health or a specific condition; and The step of generating lifestyle adjustment information corresponding to the judged user status information based on the first and second judgment results.