KR102426924B1 - Health management system and Health management apparatus using bio-impedance measuring apparatus - Google Patents

Abstract

A health management system and health management device using a bioimpedance measuring device includes a measurement information acquisition unit to which specific measurement information of a subject from the bioimpedance device is input, and a necessity for determining the necessity of functional components for the specific measurement information. and an analysis result providing unit that provides information on the determined necessity of the functional components.

Description

Health management system and health management apparatus using bio-impedance measuring apparatus

The present invention relates to a health management system and a health management apparatus using a bioimpedance measuring device.

The human body is made up of water, protein, bone and fat. Thus, the sum of the above water, protein, bone and fat constitutes the body weight. Body composition measurement is to quantitatively measure individual components constituting the human body (or other living things).

As a method of analyzing the body composition, a method using bio-impedance analysis may be used. The body composition analysis method using the bioimpedance analysis can be widely used because it has the advantage of being low cost and harmless to the human body.

The bioimpedance analysis method measures the electrical resistance or electrical impedance of the human body by sending a weak alternating current into the body of the subject. The bioimpedance analysis method may calculate the amount of body fluid, muscle mass, and body fat of the subject by using the measured electrical impedance (or electrical resistance) and information on the subject.

Information on the subject may include the height, weight, age and gender of the subject. Such information on the subject may be obtained by measurement or a user's input. For example, the age and gender of the subject may be input to the body composition measuring device through input, for example, using a keyboard. In addition, the height and weight of the subject may be input to the body composition measuring device through actual measurement or input.

However, since the information that can be obtained by the bioimpedance measuring device is limited to the body composition of the subject, there is a limit in its usefulness.

Korean Patent Publication No. 10-1188225 (2012.10.08.)

One aspect of the present invention provides a health management device using a bioimpedance measuring device for health management of a subject.

One aspect of the present invention provides a health management device using a bioimpedance measuring device for a pre-test before a functional medicine test.

One aspect of the present invention provides a health care device using a bioimpedance measuring device capable of continuously managing health.

A health management apparatus according to the present invention includes: a measurement information obtaining unit to which specific measurement information of a subject is input from a bioimpedance device; By calculating a numerically set necessary weight based on the degree of improvement of a plurality of measurement item data due to specific functional components applied to diagnosis subjects in the database, and a numerical value converted from the specific measurement information through a preset classification, each function a need determining unit that numerically determines the needs of people; and an analysis result providing unit that provides information on the determined necessity of the functional components.

The necessity determining unit may include: a necessity weight generating unit generating each necessary weight from the relationship between the plurality of measurement items and the functional elements; It may include; a necessity calculation unit for calculating the necessity of each functional component by calculating the numerical value of the specific measurement information and the numerical value of the necessary weight.

The necessity determining unit may include: a necessary weight storage unit for storing the necessary weight generated by the necessary weight generating unit; It may further include; a necessary weight correction unit for correcting the necessary weights stored in the necessary weight storage unit according to a predetermined condition.

The specific measurement information includes nth measurement information and n+1st measurement information measured after the specific functional component is provided after the nth measurement information, and the necessary weight correction unit includes: When the specific measurement item data is improved compared to the specific measurement item data of the nth measurement information, correction is made to increase the necessary weight of the specific functional component for the specific measurement item, and the specific measurement of the n+1st measurement information When the item data is not improved over the specific measurement item data of the n-th measurement information, it may be configured to correct the necessary weight of the specific functional component for the specific measurement item to be lowered.

The specific measurement information includes; nth measurement information and n+1st measurement information measured after a specific functional component is provided after the nth measurement information, and the necessary weight correction unit includes: When the specific measurement item data is improved over the specific measurement item data of the nth measurement information, the necessary weight of the specific functional component is corrected to increase, and the specific measurement item data of the n+1st measurement information is the nth When the measurement information is not improved over the specific measurement item data, it may be configured to correct the necessary weight of the specific functional component to be lowered.

The necessary weight storage unit may include a plurality of individual necessary weight storage units in which individual necessary weights of each of the measured subjects are stored for the plurality of subjects.

The necessary weight storage unit further includes a group necessary weight storage unit for storing group necessary weights for a predetermined group in which the measurement objects having a common characteristic among the plurality of measurement objects are stored, and the person belonging to the predetermined group. When the individual necessary weights of each of the individual necessary weights are corrected by the necessary weight correction unit by a predetermined ratio or more, the group necessary weights of the group necessary weight storage unit may be corrected.

The predetermined group may include at least one of gender, age, and all groups.

Further comprising; an analysis result generation unit for generating an analysis result together with information on the degree of necessity of the functional components, wherein the analysis result generation unit, the necessity of the functional components calculated by the necessity calculation unit It may include a; health functional food information generating unit that provides information on the functional components and corresponding health functional food.

The analysis result generation unit, for the functional ingredients and health functional food provided above, a caution information generation unit for generating caution information on points to be aware of when having a certain disease; may further include.

According to one aspect of the present invention, it is possible to provide customized health management to a subject through a health management device and a health management system.

According to one aspect of the present invention, health information can be known in advance as a pre-test before a functional medicine test through a health management device and a health management system.

According to an aspect of the present invention, it is possible to continuously manage health by knowing information about the deficient nutritional group along with the body composition status through an easily executable bioimpedance device.

1 is a view showing a health management system and a health management apparatus using a bioimpedance measuring device according to an embodiment of the present invention.
2 is a block diagram of a health management device according to an embodiment of the present invention.
3 is a block diagram of a necessary weight generator of a health management apparatus according to an embodiment of the present invention;
4A and 4B are tables of measurement information of the bioimpedance measuring device and necessary weights generated by the health management device according to an embodiment of the present invention.
5A and 5B are diagrams illustrating information provided through an analysis result providing unit of a health management device according to an embodiment of the present invention;
6 is a table related to functional ingredients and health functional food stored in the database of the health management device according to an embodiment of the present invention.
7 is a flowchart of a health management device according to an embodiment of the present invention.
8 is a block diagram of a health management device according to another embodiment of the present invention.
9 is a table of measurement information of a bioimpedance measuring device and a necessary weight generated by a health management device according to another embodiment of the present invention.
10 is a flowchart of a necessary weight correction unit of a health management apparatus according to another embodiment of the present invention.
11 is a block diagram of a necessary weight generator of a health management apparatus according to another embodiment of the present invention;
12 is a flowchart of a necessary weight correction unit of a health management apparatus according to another embodiment of the present invention.

The configuration shown in the embodiments and drawings described in this specification is only a preferred example of the disclosed invention, and there may be various modifications that can replace the embodiments and drawings of the present specification at the time of filing of the present application.

In addition, the same reference numbers or reference numerals in each drawing in the present specification indicate parts or components that perform substantially the same functions.

In addition, the terms used herein are used to describe the embodiments, and are not intended to limit and/or limit the disclosed invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present specification, terms such as “comprise” or “have” are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It does not preclude the possibility of the presence or addition of numbers, steps, operations, components, parts, or combinations thereof.

In addition, terms including ordinal numbers such as “first” and “second” used in this specification may be used to describe various components, but the components are not limited by the terms, and the terms are It is used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component. The term “and/or” includes any combination of a plurality of related listed items or any of a plurality of related listed items.

In addition, terms such as "~ part", "~ group", "~ block", "~ member", and "~ module" may mean a unit for processing at least one function or operation. For example, the terms may mean at least one process processed by at least one hardware such as a field-programmable gate array (FPGA)/application specific integrated circuit (ASIC), at least one software stored in a memory, or a processor. have.

Hereinafter, an embodiment according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram illustrating a health management system and a health management apparatus using a bioimpedance measuring device according to an embodiment of the present invention.

The health management system 1 may be configured to provide information on functional components through measurement information obtained from the bioimpedance measuring device 10 . The health management system 1 is provided so that the health of the subject can be improved by providing information on health functional foods corresponding to the functional ingredients together with the functional ingredients. In addition, the medical staff can use the basic examination before the detailed examination in order to know the basic nutritional health information of the patient through the health management system (1).

The functional ingredients may be health functional ingredients. Functional ingredients include vitamin C, NAC, lipoic acid, glutathione, selenium, arginine, glutamine, carotene, placental-derived amino acids, glycyrrhizin, magnesium, zinc, calcium, B5, vitamin B group, vitamin D, gluten casein degrading enzyme, silymarin, omega 3, it may include at least one of catechin, coenzyme Q10, enocardi, probiotics, hong kyeongcheon, theanine. However, the types of functional ingredients are not limited, and functional ingredients included in health functional foods are satisfied.

The health management system 1 may include a bioimpedance measuring device 10 and a health management device 20 .

The bio-impedance measuring apparatus 10 may measure bio-information of the subject, for example, body composition, body mass index (BMI), bio-impedance, or weight.

Body composition refers to the components that make up the body. The body composition may include body water indicating the amount of water present in the body, body fat indicating the amount of fat present in the body, and muscle mass indicating the amount of muscle present in the body. Body composition includes the subject's body weight, body fat mass, visceral fat cross-sectional area, body fat mass by region, body water content, intracellular water content, extracellular water content, intracellular fluid volume, extracellular fluid volume, extracellular water secretion, extracellular fluid ratio, lean body mass, skeletal muscle mass, and Various information such as muscle mass for each part may be provided to the user in the form of an index. Items measured and analyzed by the bioimpedance measuring device 10 may be defined as measurement items, and numerical values corresponding to the measurement items may be defined as measurement item data.

BMI (Body Mass Index) refers to body mass index, and refers to an index for objectifying weight using the ratio of height to weight. More specifically, BMI represents a value obtained by dividing body weight (kg) by the square of height (m).

The bioimpedance measuring apparatus 10 may include a control unit and a communication unit.

The control unit is configured to generate biometric information of a subject based on information sensed by at least one of a sensor and an electrode of the bioimpedance measuring device 10 .

The generated biometric information may be displayed on a display provided in the bioimpedance measuring device 10 , and may be transmitted to the health management device 20 or the user terminal 5 through the communication unit. The communication unit may include a wired communication module and a wireless communication module.

The health management device 20 is provided to manage or guide the health of the subject from information such as body composition and BMI (hereinafter, 'measurement information') obtained from the bioimpedance measuring device 10 . The health management device 20 is provided to generate and provide information on the insufficient functional component of the subject from the measurement information. The measurement information may include medical questionnaire information. That is, the measurement information may include medical questionnaire information written by the person to be measured.

2 is a block diagram of a health management apparatus according to an embodiment of the present invention, and FIG. 3 is a block diagram of a necessary weight generator of the health management apparatus according to an embodiment of the present invention.

The health management device 20 may include a measurement information obtaining unit 30 and a necessity determining unit 40 .

The measurement information acquisition unit 30 may acquire measurement information transmitted from the bioimpedance measurement device 10 . The measurement information acquisition unit 30 is configured to receive data transmitted from the communication unit of the bioimpedance measurement device 10 . The measurement information acquisition unit 30 to be described later may be performed through the communication unit of the health management device 20 together with the analysis result providing unit 90 . That is, the communication unit of the health management device 20 may perform the measurement information obtaining unit 30 and the analysis result providing unit 90 .

The communication unit of the health care device 20 includes a wired communication module that communicates with an external device (eg, the bioimpedance measuring device 10 or the user terminal 5) by wire and a wireless communication module that wirelessly communicates with the external device. include The user terminal 5 is not particularly limited as long as it has a communication function connected to the health care device 20 and a display function capable of outputting an image or text. The user may include a medical staff, a medical institution, or a person to be measured.

The health care device 20 and the user terminal 5 are not limited, and a dedicated monitoring device, a desktop computer, a laptop computer, a tablet PC, a server, a wireless phone, Mobile phone, smart phone, smart watch, smart glass, e-book reader, PMP (portable multimedia player), portable game console, navigation device, digital Camera (digital camera), DMB (digital multimedia broadcasting) player, digital audio recorder, digital audio player, digital picture recorder, digital picture player, It may include, but is not limited to, a digital video recorder and a digital video player.

The wired communication module may access the gateway through a cable connected from the health care device 20 to the gateway of the Internet service provider. For example, the wired communication module may communicate with the gateway through Ethernet. The wired communication module may exchange data with the bioimpedance measuring device 10 or the user terminal 5 on the communication network through the gateway.

The wireless communication module 172 may wirelessly communicate with an access point (AP) (or a user's gateway) connected to the gateway of the Internet service provider. For example, the wireless communication module 172 may communicate with the access repeater through Wi-Fi, Bluetooth, or Zigbee. The wireless communication module 172 may send and receive data to and from the bioimpedance measuring device 10 or the user terminal 5 on the communication network through the access repeater and the gateway.

In this way, the communication unit of the health care device 20 may transmit and receive data to and from the bioimpedance measuring device 10 or the user terminal 5 in response to a control signal from the control unit of the health care device 20 . The communication unit may transmit the communication data received from the bioimpedance measuring device 10 or the user terminal 5 to the control unit, and transmit the communication data obtained from the control unit to the bioimpedance measuring device 10 or the user terminal 5 . .

The bioimpedance measuring device 10 and the health management device 20 may be directly connected or formed integrally. When the bioimpedance measuring device 10 and the health management device 20 are configured in this way, the measurement information acquisition unit 30 may acquire the measurement information from the bioimpedance measuring device 10 without going through the communication unit.

The necessity determining unit 40 is configured to determine the necessity of the functional components from the measurement information received by the measurement information obtaining unit 30 . The degree of necessity is to provide the required degree in numerical form in the functional component required for the subject. The health management device 20 may be provided to suggest ingestion of the specific functional ingredient or health functional food containing the specific functional ingredient when the need for a specific functional ingredient is calculated from the measurement information.

4A and 4B are tables of measurement information of the bioimpedance measuring apparatus and necessary weights generated by the health management apparatus according to an embodiment of the present invention. It will be described together with the previous drawings.

The necessity determining unit 40 may include a necessary weight generating unit 50 .

The necessary weight indicates the degree to which a plurality of functional components are required for a plurality of measurement items of measurement information. Necessary weight can also be defined as the degree of influence of functional components on each measurement item of measurement information. That is, the necessity of the functional component means the sum of the necessary weights, which are the effects of the functional component on a plurality of measurement items. The applied necessary weight may be described as T2 in FIGS. 4A and 4B , and may be described together with T1 in which measurement items are listed. The sum of these need weights can be a necessity.

The necessary weight generating unit 50 is provided to generate necessary weights of each functional component for various measurement items of measurement information.

The necessary weight generation unit 50 may include a machine learning unit 52 and a necessary weight storage unit 54 .

The machine learning unit 52 performs machine learning by applying an algorithm based on information stored in the database, and is provided to generate a related machine learning model. The machine learning unit 52 is provided to generate a machine learning model that learns a relationship between a plurality of applied functional components stored in a database and measurement information. In detail, the machine learning unit 52 is provided to generate a machine learning model learned from a plurality of measurement item data of a plurality of measurement information accumulated in the database and data on the provided functional components. That is, the machine learning model may be prepared to learn a relationship between a plurality of applied or provided functionalities and a plurality of measurement items. Various measurement items of measurement information are classified in detail and can be divided into normal category (class 3), under-class (class 1, 2), and excess category (class 4, 5). Normal category, sub-category, and excess category are named for convenience of explanation, but are not limited thereto. The machine learning unit 52 learns the relationship between a plurality of applied or provided functional components and the classifications of the measurement items, and generates a machine learning model that generates necessary weights based on whether the measurement item is improved or the degree of improvement. can In this embodiment, the measurement information of the subject was classified into categories 1 to 5 as shown in FIGS. 4A and 4B according to numerical values. However, the number of classifications is not limited.

In addition, the machine learning unit 52 is a machine learning unit that learns the relationship between a plurality of functional components applied as shown in FIG. 4A and the relationship between a plurality of measurement items, as well as a plurality of functional components applied as shown in FIG. 4B and learning medical questionnaire information. It may be arranged to create a model.

The database may store data on a relationship between a plurality of applied functional components and measurement information. The database may store measurement information of the subjects measured by the bioimpedance measuring device 10 in the past and data on the relationship between the functional components taken by the subjects. In the database, a relationship between measurement information of new subjects or updated measurement information of existing subjects and functional ingredients taken by the subjects may be newly updated. In addition, the database can be stored numerically the opinions of the papers, clinical trials, and medical staff on the relationship between measurement information and functional components. In addition, the database may store data on a relationship between a plurality of functional elements and a plurality of measurement items as well as a relationship between a plurality of applied functional elements and medical questionnaire information.

For the generation of the machine learning model, algorithms such as logistic regression, support vector machine, gradient boosting, and random forest may be applied. If machine learning is performed on the relationship between the measurement information of the subjects measured by the bioimpedance measuring device 10 and the functional components taken by the subjects, this is satisfied, and the type of algorithm applied is not limited.

The machine learning model generated by the machine learning unit 52 learns the relationship between the measurement information of the subjects measured by the bioimpedance measuring device 10 and the functional components taken by the subjects from the database. It is possible to generate necessary weights between the measurement information and the ingested functionalities. The machine learning model may represent the relationship as a set of necessary weights of functional components for measurement information.

The necessary weight storage unit 54 is provided to store the necessary weights generated by the machine learning model. The information on the bioimpedance measuring device 10 and the necessary weights stored in the necessary weight storage unit 54 may be expressed as T1 and T2, respectively, as shown in FIGS. 4A and 4B . In FIGS. 4A and 4B , components 1, 2, and 3 are exemplified as one type of functional components for convenience of description, but the types and number of functional components are not limited.

Although the necessary weight generator 50 generates a necessary weight through machine learning as an example, the present invention is not limited thereto. In the necessary weight generator 50 , information on preset necessary weights may be input through the measurement information and the thesis on the relationship between functional components, clinical trials, and opinions of medical staff. The necessary weights may be expressed as a set as shown in FIG. 4 between a plurality of functional components and a relationship between measurement information.

The necessity determining unit 40 may include a necessity calculating unit 70 .

The necessity calculation unit 70 is provided to calculate the necessity of each functional component from the measurement information of the subject obtained by the measurement information obtaining unit 30 and the necessary weights stored in the necessary weight storage unit 54 . .

For example, if the subject is a woman, the body fat percentage is 17%, and the basal metabolic rate is 1200 kcal, as shown in P1 in FIG. 4A , component 1, which is a type of functional ingredients, is 0, component 2 is 1, component 3 A necessary weight of 1 is applied, and a necessary weight of 1 for component 1, 1 for component 2, and 0 for component 3 is applied to the basal metabolic rate as shown in P2 in FIG. 4A. Overall, the need for component 1 is 1, the need for component 2 is 2, and the need for component 3 is 1. The calculated necessity may then be provided together with the necessary information by the analysis result generating unit 80, and health functional food of the corresponding functional ingredients. In the example, the necessity of component 2 is 2, which is calculated to be higher than the necessity of components 1 and 3, so the necessity of component 2 together with component 2 may be recommended or suggested to the subject. In addition, a health functional food corresponding to component 2 may be suggested to the subject along with component 2. Of course, the need for component 1 and component 3 and health functional foods corresponding to component 1 and component 3 may also be suggested to the subject.

The measurement items in the above example and FIG. 4A include, but are not limited to, body fat percentage and basal metabolic rate as examples. All measurement information that can be measured by the bioimpedance measuring device 10 may be applied. In addition, although three functional components are exemplified, a plurality of functional components may be applied as mentioned above. In addition, although it is exemplified that the questionnaire 1 is included in FIG. 4B , the present invention is not limited thereto. The form, number, and content of the questionnaire are not limited.

5A and 5B are views illustrating information provided through an analysis result providing unit of a health management device according to an embodiment of the present invention, and FIG. 6 is a diagram showing functional components stored in the database of the health management device according to an embodiment of the present invention; This is a table about health functional food. It will be described together with the previous drawings.

The health management device 20 may include an analysis result generating unit 80 .

The analysis result generation unit 80 is provided to generate information about the necessity of each functional component determined by the necessity determination unit 40 .

The analysis result generation unit 80 may include a necessity information generation unit 82 and a health functional food information generation unit 84 .

The necessity information generation unit 82 may generate information in which the needs summed up by the necessity calculation unit 70 above are listed for each functional component. The information on the functional component and the corresponding necessity is generated by the necessity information generating unit 82, and the generated information may be described as A1 in FIG. 5A by the analysis result providing unit 90 to be described later. For the description of the functional component, it may be described as in FIG. 5B linked to A2 in FIG. 5A. Although only the description of the functional ingredient is shown in FIG. 5b , the description of the health functional food may also be displayed. 5A and 5B have been described as examples for convenience of explanation, but the information providing method is not limited thereto.

The health functional food information generating unit 84 may generate health functional food information corresponding to the functional ingredient based on the necessity for each functional ingredient. The relationship between functional ingredients and health functional foods may be stored in a database, and the necessity information generating unit 82 is provided to provide health functional food information that matches the need for each functional ingredient. Health functional foods matching the functional ingredients may be displayed by the analysis result providing unit 90 to be described later. As for health functional foods for functional ingredients, information stored in the database may be applied as shown in FIG. 6 .

The analysis result generating unit 80 may include an attention information generating unit 86 .

The caution information generating unit 86 is provided to provide caution information on functional ingredients or health functional foods. That is, the necessary information generating unit 82 and the health functional food information generating unit 84 are provided to generate attention information when ingested with respect to functional components and health functional foods with a high degree of necessity. The information stored in the database can be applied to the relationship between caution information, functional ingredients, and health functional foods. The caution information may be described as A3 in FIG. 5A by the analysis result providing unit 90 to be described later. 5A has been described as an example for convenience of explanation, but the information providing method is not limited thereto.

Caution information may include activity information, nutrition information, and sleep information. Activities include matters to be aware of in exercise or general life, and nutrition includes information on food and eating habits. Sleep includes information about sleeping habits and eating habits related to sleep. The attention information generating unit 86 may generate attention information on at least one of activity items, nutrition information, and sleep matters based on the calculated necessity and functional ingredient types.

Caution information may include matters related to diseases and diseases. It includes information on functional ingredients to be aware of in case of certain diseases. For example, even if a specific functional ingredient is harmful to health for a certain disease and the subject has a high need for a specific functional ingredient, the caution information generating unit 86 sets the specific functional ingredient to be described as in A3 of FIG. 5A . It is possible to create intake caution information for

The health management device 20 may include an analysis result providing unit 90 .

The analysis result providing unit 90 is provided to provide the analysis result generated by the analysis result generating unit 80 . The analysis result providing unit 90 may be displayed through a display unit (not shown) of the health management device 20 . Also, the analysis result providing unit 90 may transmit to the bioimpedance measuring device 10 or the user terminal 5 through the communication unit of the health management device 20 . The transmitted data may be displayed on a display unit (not shown) of the bioimpedance measuring device 10 or the user terminal 5 .

The analysis result providing unit 90 may provide a description of each functional ingredient and a description of corresponding health functional foods as shown in FIG. 6 together with the necessity information for each functional ingredient as shown in FIGS. 5A and 5B .

Through the information provided by the analysis result providing unit 90, the medical staff can know the basic health information of patients in advance, so that they can provide more accurate treatment based on this health information, and as a preliminary examination prior to the functional medicine examination. can be utilized

In addition, the subject can know the lack of functional components along with the biometric information through the health management device 20, so that he can continuously manage his health.

Hereinafter, an operation of the health management device according to an embodiment of the present invention will be described.

7 is a flowchart of a health management device according to an embodiment of the present invention.

The health management device 20 may acquire measurement information measured from the bioimpedance measurement device 10 through the measurement information acquisition unit 30 ( S100 ).

As for the measurement information, the necessity of functional components is calculated through the necessary weights generated by the necessary weight generation unit 50 (S110). The necessary weight may be formed by the machine learning unit 52 and the necessary weight storage unit 54 .

The calculated need for functional components may be provided through the analysis result providing unit 90 together with information on the functional components (S120). In addition, the analysis result providing unit 90 may provide functional ingredients and corresponding health functional foods and caution information together.

Hereinafter, a health management system and a health management apparatus using a bioimpedance measuring device according to another embodiment of the present invention will be described.

In the description, a detailed description of the overlapping configuration will be omitted.

8 is a block diagram of a health management apparatus according to another embodiment of the present invention, and FIG. 9 is a table and diagram showing measurement information of the bioimpedance measuring apparatus and necessary weights generated by the health management apparatus according to another embodiment of the present invention. 10 is a flowchart of a necessary weight correction unit of a health management apparatus according to another embodiment of the present invention.

The necessity determining unit 40 may include a necessary weight correcting unit 60 . Necessary weights generated from the learned machine learning model and stored in the necessary weight storage unit 54 may be corrected by the necessary weight correction unit 60 .

The necessary weight correcting unit 60 is provided to correct the necessary weight generated by the necessary weight generating unit 50 .

The necessary weight correction unit 60 is provided to correct the necessary weight according to a predetermined condition.

The necessary weight correction unit 60 may be provided to correct the necessary weight based on information stored in the database. In the database, measurement information of the subject may be accumulated and updated, and health functional food information suggested or taken together with the measurement information may be accumulated and updated.

The necessary weight correction unit 60 is provided to correct the necessary weight by increasing or decreasing the necessary weight for the proposed or taken functional ingredient or health functional food. The correction of the necessary weights may be made based on whether the data of a plurality of measurement items of the measurement information is improved. The standard of improvement can be divided into improvement from the under-category (classes 1 and 2) and the over-category (classes 4 and 5) to the normal (class 3) category as improvement, and moving away from the sub-category as no improvement. Through this process, the health management device 20 can promote more personalized health management for each individual.

The necessary weight correcting unit 60 may correct the necessary weight of the measurement item for each functional component. That is, the necessary weight correction unit 60 may individually correct the sectors A1, A2, A3, A4, B1, B2, B3, B4, C1, C2, C3, and C4 in FIG. 9 .

For example, referring to FIG. 4 for A1, the necessary weights of classifications 1 to 5 are A1(0,0,1,2,3). A1(0,0,1,2,3) becomes A1(0,1,2,3,4) when the necessary weight correction unit 60 increases correction, and when correction decreases, A1(0,3) becomes A1(0,3) 0, 0, 1, 2) may be sequentially corrected.

Hereinafter, a method of correcting the necessary weight by the necessary weight correcting unit will be described.

As shown in FIG. 10 , the necessary weight correction unit 60 includes specific measurement item data of the n-th measurement information of the subject from the database, and the necessity calculation unit 70 and the analysis result generation unit 80 after the n-th measurement information. The specific measurement item data of the n+1st measurement information measured after taking the suggested specific functional ingredient or specific health functional food is acquired (S200).

Thereafter, it is compared whether the specific measurement item data of the nth measurement information and the specific measurement item data of the n+1st measurement information are improved ( S210 ).

It is determined whether the specific measurement item data is improved (S220), and when the specific measurement item data is improved, the necessary weight of the proposed functional component for the corresponding predetermined item may be increased (S230).

It is determined whether the specific measurement item data is improved (S220), and, conversely, when the specific measurement item is not improved in the n+1st measurement information, the necessary weight of the proposed functional component for the corresponding predetermined item can be lowered (S240) .

As an example, it is assumed that a female subject is presented with a body fat percentage of category 2 and a basal metabolic rate of category 2 in the primary measurement information, and a health functional food corresponding to the component 2 is suggested by the health management device 20 .

In the case of the improvement of body fat percentage and basal metabolic rate in the secondary measurement information of the female subject and thus classification 3, respectively, the necessary weights corresponding to B1 and B2 in FIG. 8 may be increased. That is, by increasing the necessary weight, the influence of the proposed health functional food on the subject can be improved.

Conversely, if the body fat percentage and basal metabolic rate are not improved in the secondary measurement information of the female subject, and if they belong to the same category 2 or are further out of the normal category, the necessary weights corresponding to B1 and B2 in FIG. 8 can be decreased. . That is, by decreasing the necessary weight, it is possible to lower the influence of the proposed health functional food on the subject. Through this, since the necessary weight of other functional ingredients is measured relatively high, health functional foods corresponding to other functional ingredients can be proposed.

11 is a block diagram of a necessary weight generator of a health management apparatus according to another embodiment of the present invention.

The necessary weight storage unit 54 may include a plurality of necessary weight storage units 54a, 54b, 54c, and 54d.

The plurality of necessary weight storage units 54 may include a plurality of individual necessary weight storage units 54a. Each individual's necessary weights may be stored in the plurality of individual necessary weight storage units 54a. The necessary weight correction unit 60 may correct the individual necessary weight information stored in the individual necessary weight storage unit 54a. Through this, it is possible to implement a health management system and health management device customized for each individual by differentiating the influence of functional components for each individual.

The necessary weight correction unit 60 may include group necessary weight storage units 54b, 54c, and 54d.

The group necessary weight storage units 54b, 54c, and 54d are provided to store the group necessary weights for a predetermined group in which subjects having a common characteristic are classified among a plurality of subjects. The number of groups is not limited, and types of common features are not limited. The individual necessary weight correction unit 54a may be independent of the group necessary weight storage units 54b, 54c, and 54d.

When the individual necessary weights of the subjects belonging to a certain group are corrected in the same direction by the necessary weight correction unit 60 by a predetermined ratio or more, the necessary weight correction unit 60 corrects the group necessary weights of the corresponding group necessary weight storage unit can do. The constant ratio may be 70%. However, the range of the predetermined ratio is not limited.

The group necessary weights corrected in the group necessary weight storage units 54b, 54c, and 54d may be applied to newly measured subjects.

The group necessary weight storage unit may include an age-specific necessary weight storage unit 54b, a gender necessary weight storage unit 54c, and an overall necessary weight storage unit 54d. In the age-specific necessary weight storage unit 54b, the gender necessary weight storage unit 54c, and the total necessary weight storage unit 54d, the necessary weights of the age-specific group, the gender group, and the entire subject group may be stored, respectively. As the necessary weights of a certain group such as age, gender, and all subjects are differently corrected by the necessary weight correction unit 60 , the health management device 20 may provide more customized health care for a certain group. That is, by differentiating the influence of functional components on the whole subject by age, gender, and subject, it is possible to implement a more customized health management system and health management device.

For example, if correction is made in which the necessary weight of the A1 sector decreases at a certain rate in the group of 25 to 30 years old, the necessary weight correcting unit 60 is configured for the 25 to 30 years old among the age-specific necessary weight storage units 54b. A correction can be made to decrease the necessary weight for the group as a whole.

12 is a flowchart of a necessary weight correction unit of a health management apparatus according to another embodiment of the present invention.

In the previous embodiment, the necessary weight correcting unit 60 corrects the necessary weight of the measurement item for each functional component, but in the present embodiment, the necessary weight can be corrected for each functional component. That is, the necessary weight correction unit 60 calculates the necessary weights (A1, A2, A3, A4) of the component 1 in FIG. 9, the necessary weights of the component 2 (B1, B2, B3, B4), and the necessary weights of the component 3 ( C1, C2, C3, C4) can be corrected.

As shown in FIG. 12 , specific measurement item data of the nth measurement information of the subject, and a specific functional ingredient or specific health function proposed to the necessity calculation unit 70 and the analysis result generation unit 80 after the nth measurement information Specific measurement item data of the n+1st measurement information measured after taking food is acquired (S300).

Thereafter, it is compared whether the specific measurement item data of the nth measurement information and the specific measurement item data of the n+1st measurement information are improved (S310).

It is determined whether the specific measurement item data is improved (S320), and when the specific measurement item data is improved, the necessary weight of the proposed specific functional component may be increased (S330).

It is determined whether the specific measurement item data is improved (S320), and, conversely, when the corresponding specific measurement item is not improved in the n+1st measurement information, the necessary weight of the proposed specific functional component can be lowered (S340).

For example, in the primary measurement information of the female subject, the body fat percentage was presented as classification 2 and the basal metabolic rate was presented as classification 2, and as the need for component 2 was calculated by the health management device 20 as high, component 2 and component It is assumed that health functional food corresponding to 2 is proposed.

In the secondary measurement information of the female subject, if the body fat percentage and basal metabolic rate were improved and each became classification 3 (normal), the necessary weights corresponding to B1, B2, B3, and B4 corresponding to component 2 in FIG. 9 were increased. can That is, by increasing the necessary weight, the influence of the proposed health functional food on the subject can be improved.

Conversely, if the body fat percentage and basal metabolic rate do not improve in the secondary measurement information of the female subject, and they fall into the same category 2 or are further out of the normal range, B1, B2, B3, B4 corresponding to component 2 in FIG. It can reduce the need weight. That is, by decreasing the necessary weight, it is possible to lower the influence of the proposed health functional food on the subject. Through this, since the necessary weight of other functional ingredients is measured relatively high, health functional foods corresponding to other functional ingredients can be proposed.

In the above, specific embodiments have been shown and described. However, it is not limited to the above embodiments, and those of ordinary skill in the art to which the invention pertains can make various changes without departing from the spirit of the invention described in the claims below. .

1: Health management system 10: Bio-impedance device
20: health management device 30: measurement information acquisition unit
40: necessity determining unit 50: necessary weight generating unit
52: machine learning unit 54: necessary weight storage unit
80: analysis result generating unit 90: analysis result providing unit

Claims (10)

a measurement information obtaining unit to which specific measurement information of a subject is input from the bioimpedance device;
By calculating a numerically set necessary weight based on the degree of improvement of a plurality of measurement item data due to specific functional components applied to diagnosis subjects in the database, and a numerical value converted from the specific measurement information through a preset classification, each function a need determination unit that numerically determines the needs of people;
and an analysis result providing unit that provides information on the determined necessity of the functional components;
The necessity determining unit,
a necessity weight generator for generating each necessary weight from the relationship between the plurality of measurement items and the functional elements;
a necessary weight storage unit for storing the necessary weights generated by the necessary weight generation unit;
a necessary weight correction unit for correcting the necessary weights stored in the necessary weight storage unit according to a predetermined condition;
Containing, including;
A health management device using a bioimpedance measuring device. delete delete The method of claim 1,
The specific measurement information is
nth measurement information, and n+1st measurement information measured after a specific functional ingredient is provided after the nth measurement information;
The necessary weight correction unit,
If the specific measurement item data of the n+1st measurement information is improved than the specific measurement item data of the nth measurement information, correcting to increase the necessary weight of the specific functional component for the specific measurement item,
If the specific measurement item data of the n+1st measurement information is not improved than the specific measurement item data of the nth measurement information, correcting to lower the necessary weight of the specific functional component for the specific measurement item A health management device using a bioimpedance measuring device. The method of claim 1,
The specific measurement information is
nth measurement information, and n+1st measurement information measured after a specific functional ingredient is provided after the nth measurement information;
The necessary weight correction unit,
When the specific measurement item data of the n+1st measurement information is improved than the specific measurement item data of the nth order measurement information, correcting to increase the necessary weight of the specific functional component,
When the specific measurement item data of the n+1st measurement information is not improved compared to the specific measurement item data of the nth measurement information, using a bioimpedance measuring device configured to correct the necessary weight of the specific functional component to be lowered health care device. The method of claim 1,
The necessary weight storage unit,
A health care apparatus using a bioimpedance measuring device comprising a; a plurality of personal necessity weights storing the individual necessary weights of each of the measured subjects with respect to the plurality of subjects. The method of claim 1,
The necessary weight storage unit,
It further includes; a group necessary weight storage unit for storing group necessary weights for a predetermined group that classifies the subjects having a common characteristic among the plurality of subjects,
When the necessary weights of the subjects belonging to the predetermined group are corrected by the necessary weight correction unit by a predetermined ratio or more, the bioimpedance measuring device is configured to correct the group necessary weights of the group necessary weight storage unit. health care device. 8. The method of claim 7,
The schedule group is
A health management device using a bioimpedance measuring device including at least one group of gender, age, and total. The method of claim 1,
Further comprising; an analysis result generating unit for generating an analysis result together with information on the degree of necessity of the functional components;
The analysis result generating unit,
Bio-impedance measuring device comprising a; functional ingredients with a high necessity among the needs of the functional ingredients calculated by the necessity calculation unit and a health functional food information generating unit that provides information on the corresponding health functional food; health management device using 10. The method of claim 9,
The analysis result generating unit,
Health management device further comprising a; caution information generating unit for generating caution information on points to be taken care of when having a certain disease with respect to the provided functional ingredients and health functional food.

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