KR102006350B1 - 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 bio-impedance measuring device comprises: a measurement information acquisition unit to which specific measurement information of a subject from a bio-impedance device is inputted; a necessity determination unit determining the necessity of functional components for the specific measurement information; and an analysis result providing unit providing information related to the determined necessity of the functional components.

Description

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

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

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

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

The bioimpedance analysis method measures a human body's electrical resistance or electrical impedance 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 amount of the subject by using the measured electrical impedance (or electrical resistance) and information on the subject.

The information about the measurement may include height, weight, age and sex of the subject. Information about such a subject may be obtained by measurement or user 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, the information that can be obtained by the bioimpedance measuring device is limited to the body composition of the subject to be measured, and thus there is a limit in its utility.

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

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

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

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

According to an aspect of the present invention, a health care apparatus using a bioimpedance measuring device includes: a measurement information acquisition unit configured to input specific measurement information of a subject from a bioimpedance device; A necessity determination unit which determines a necessity of functional components for the specific measurement information; And an analysis result providing unit providing information on the determined need of the functional ingredients.

The necessity determination unit may include: a necessity weight generation unit which generates respective necessity weight values from a relationship between the plurality of measurement information and the functional components; And a necessity calculator configured to calculate a necessity of the functional components based on the specific measurement information and the necessary weights.

The necessary weight generation unit is a machine learning unit that learns from a plurality of measurement item data of the plurality of measurement information accumulated in a database and data on the provided functional components, and includes the plurality of measurement item data and the provided functional components. A machine learning unit learning the relationship to generate the necessary weights based on improvement of the plurality of measurement item data for the provided functional components; And a necessity weight storage unit for storing the necessity weights generated by the machine learning unit.

The necessity determination unit may further include a necessity weight value correction unit correcting the necessity weight values stored in the necessity weight storage unit according to a predetermined condition.

The specific measurement information includes n-th measurement information and n + first measurement information measured after a specific functional component is provided after the n-th measurement information. The necessary weight correction unit may include the n + first measurement information. When the specific metric data is improved than the specific metric data of the n-th measurement information, corrected to increase the required weight value of the specific functional component for the specific metric, and measure the specific measurement of the n + first measurement information. If the item data is not improved over the specific measurement item data of the n-th measurement information, it may be configured to correct so as to lower the required weight of the specific functional component for the specific measurement item.

The specific measurement information includes n-th measurement information and n + first measurement information measured after a specific functional component is provided after the n-th measurement information. When the specific metric data is improved than the specific metric data of the n-th measurement information, the specific weight of the specific functional component is corrected to increase, and the specific metric data of the n + first measurement information is the n-th order. If not improved than the specific measurement data of the measurement information, it may be configured to correct to lower the required weight of the specific functional component.

The necessity weight storage unit may include a plurality of individual necessity weight storage units for storing individual necessity weight values of each of the subjects.

The necessity weight storage unit further includes a group necessity weight storage unit for storing group necessity values for a predetermined group classifying subjects having a common feature among the plurality of subjects. If the personalized need weights of the group are equal to or larger than a predetermined ratio by the need weight correction unit, the group need weights storage unit may be configured to correct the group need weights.

The schedule group may include at least one of sex, age group, and all.

An analysis result generation unit for generating an analysis result together with the information on the necessity of the functional components, wherein the analysis result generation unit, the necessity of the needs of the functional components calculated by the need calculation unit And a health functional food information generation unit for providing information on high functional ingredients and corresponding health functional foods.

The analysis result generation unit may further include a caution information generation unit for generating caution information on the point to be careful when having a certain disease for the provided functional ingredients and health functional food.

According to an aspect of the present invention, a health care system includes a bioimpedance device for measuring biometric information through bioimpedance analysis; And a health care device receiving specific measurement information from the bioimpedance device and suggesting a functional component, wherein the health care device includes: a measurement information acquisition unit to receive the specific measurement information from the bioimpedance device; A need determination unit for determining a need of the functional components for the specific measurement information; It includes; an analysis result providing unit for providing information on the determined need of functional components.

According to an aspect of the present invention it is possible to provide personalized health care to the subject through the health care device and health care system.

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

According to an aspect of the present invention through the bioimpedance device that can be easily executed, it is possible to know the status of the body composition and the information on the undernourished group so that continuous health management is possible.

1 is a diagram illustrating a health care system and a health care apparatus using a bioimpedance measuring apparatus according to an embodiment of the present invention.
Figure 2 is a block diagram of a health care device according to an embodiment of the present invention.
Figure 3 is a block diagram of the necessary weight generation unit of the health care apparatus according to an embodiment of the present invention.
4A and 4B are tables showing measurement information of a bioimpedance measuring device and a necessary weight value generated by a health care device according to an embodiment of the present invention.
5A and 5B illustrate information provided through an analysis result provider of a health care device according to an exemplary embodiment of the present invention.
Figure 6 is a table of the functional ingredients and health functional food stored in the database of the health care device according to an embodiment of the present invention.
7 is a flowchart of a health care apparatus according to an embodiment of the present invention.
Figure 8 is a block diagram of a health care device according to another embodiment of the present invention.
FIG. 9 is a table illustrating measurement information of a bioimpedance measuring device and a necessary weight value generated by a health care device according to another exemplary embodiment of the present invention. FIG.
10 is a flow chart of the necessary weight correction unit of the health care apparatus according to another embodiment of the present invention.
11 is a block diagram of a necessary weight generation unit of a health care apparatus according to another embodiment of the present invention.
12 is a flow chart of the necessary weight correction unit of the health care apparatus according to another embodiment of the present invention.

Configurations shown in the embodiments and drawings described herein are only exemplary embodiments of the disclosed invention, 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 numerals or signs given in each drawing of the present specification represent parts or components that perform substantially the same function.

Also, the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting and / or limiting the disclosed invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. As used herein, the terms "comprise" or "have" are intended to indicate that there is a feature, number, step, action, component, part, or combination thereof described on the specification, and one or more other features. It does not preclude the existence or addition of numbers or steps, operations, components, parts or combinations thereof.

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

In addition, terms such as "~ part", "~ group", "~ block", "~ member", "~ module" may refer to a unit for processing at least one function or operation. For example, the terms may refer to at least one hardware processed by at least one piece of 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, with reference to the accompanying drawings an embodiment according to the present invention will be described in detail.

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

The health care system 1 may be configured to provide information about a functional component through measurement information obtained from the bioimpedance measuring device 10. The health care system 1 is provided so that the health of the subject can be improved by providing information on 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 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, cartin, human placental amino acids, glycyrrhizin, magnesium, zinc, calcium, B5, vitamin B group, vitamin D, gluten casein degrading enzyme, silymarin, omega 3, catechin, coenzyme Q10, enocardi, probiotics, honggyeongcheon, may include at least one of theanine. However, the type of functional ingredients is not limited, and if it is a functional ingredient included in the health functional food, it is satisfied.

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

The bioimpedance measuring apparatus 10 may measure biometric information of the subject, for example, a body composition, a body mass index (BMI), a bioimpedance or a 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 body weight, body fat amount, visceral fat cross-sectional area, body fat amount per part, body water content, intracellular water content, extracellular water content, intracellular fluid amount, extracellular fluid amount, extracellular water secretion, extracellular fluid ratio, lean body mass, skeletal muscle mass and Various information such as muscle mass for each site may be provided to the user in an exponential form. The items measured and analyzed by the bioimpedance measuring apparatus 10 may be defined as measurement items, and numerical values corresponding to the measurement items may be defined as measurement item data.

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

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

The controller is configured to generate the biometric information of the subject based on information detected by at least one of the sensor and the electrode of the bioimpedance measuring apparatus 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 care device 20 or the user terminal 5 through a communication unit. The communication unit may include a wired communication module and a wireless communication module.

The health care device 20 is provided to manage or guide the health of the subject from information such as body composition and BMI obtained from the bioimpedance measuring device 10 (hereinafter, 'measurement information'). The health care device 20 is provided to generate information about the insufficient functional ingredient of the subject from the measured information and provide it. The measurement information may include medical survey information. That is, the measurement information may include medical questionnaire information prepared by the subject.

Figure 2 is a block diagram of a health care device according to an embodiment of the present invention, Figure 3 is a block diagram of the necessary weight generation unit of the health care device according to an embodiment of the present invention.

The health care device 20 may include a measurement information acquisition unit 30 and a necessity determination 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 care device 20 together with the analysis result providing unit 90. That is, the communication unit of the health care device 20 may perform the measurement information acquisition unit 30 and the analysis result providing unit 90.

The communication unit of the health care device 20 may include a wired communication module that communicates with an external device (for example, the bioimpedance measuring device 10 or the user terminal 5) by wire and a wireless communication module that communicates wirelessly with the external device. Include. The user terminal 5 is not particularly limited as long as it is a device having 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 subject.

The health care device 20 and the user terminal 5 are not limited, and may include 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, portable multimedia player, portable game machine, navigation device, digital Digital camera, digital multimedia broadcasting (DMB) player, digital audio recorder, digital audio player, digital picture recorder, digital picture player, It may include a digital video recorder (digital video recorder), a digital video player (digital video player), but is not limited thereto.

The wired communication module may connect to 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 via Ethernet. The wired communication module may exchange data with the bioimpedance measuring device 10 or the user terminal 5 on the communication network through a gateway.

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

As such, the communication unit of the health care device 20 may exchange data with the bioimpedance measuring device 10 or the user terminal 5 in response to a control signal of the controller of the health care device 20. The communication unit may transmit 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 care device 20 may be directly connected or integrally formed. When the bioimpedance measuring device 10 and the health care device 20 are configured as described above, the measurement information acquisition unit 30 may obtain measurement information from the bioimpedance measurement device 10 without passing through the communication unit.

The necessity determination unit 40 is configured to determine the necessity of the functional components from the measurement information received by the measurement information acquisition unit 30. The necessity is to provide the required degree in numerical form for the functional ingredient required by the subject. The health care device 20 may be provided to suggest that the specific functional ingredient or the health functional food including the specific functional ingredient is ingested when the necessity of the specific functional ingredient is calculated from the measurement information.

4A and 4B are tables showing measurement information of a bioimpedance measuring device and a necessary weight value generated by a health care device according to an exemplary embodiment of the present invention. It will be described together with the preceding figures.

The necessity determination unit 40 may include a necessity weight generation 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. The required weight can also be defined as the influence of the functional component on each measurement item. That is, the necessity of the functional component means the sum of necessary weights that are the influence of the functional component on the plurality of measurement items. The required weights to be applied may be described as T2 in FIGS. 4A and 4B and may be described together with T1 in which the metrics are listed. The sum of these need weights can be a need.

The necessity weight generation unit 50 is provided to generate a necessity weight of each functional component for various measurement items of the measurement information.

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

Machine learning unit 52 is applied to the algorithm based on the information stored in the database, the machine learning is made, it is provided to generate a related machine learning model. The machine learning unit 52 is provided to generate a machine learning model for learning the relationship between the plurality of applied functional components stored in the database and the 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 a database and data on the provided functional components. That is, the machine learning model may be arranged to learn a relationship between a plurality of functional components applied or provided and a plurality of measurement items. Various measurement items of measurement information may be classified into detailed categories and classified into normal categories (category 3), under categories (category 1 and 2), and excess categories (category 4 and 5). Normal, under, and over categories are named for convenience of explanation and are not limited thereto. The machine learning unit 52 learns a relationship between a plurality of functional components applied or provided and classifications of measurement items, and generates a machine learning model that generates necessary weights based on whether the measurement item is improved or improved. Can be. In the present embodiment, the measurement information of the subject was classified into classifications 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 learning the relationship between the plurality of functional components applied as shown in Figure 4a, a plurality of measurement items as well as the relationship between the plurality of functional components applied as shown in Figure 4b, learning medical survey information It may be arranged to generate a model.

The database may store data on the relationship between the plurality of applied functional components and the measurement information. The database may store data on the relationship between the measurement information of the subjects measured by the biometric impedance measuring apparatus 10 and the functional components taken by the subjects. The database may newly update the relationship between the measurement information of new subjects or updated measurement information of existing subjects and the functional ingredients taken by the subjects. In addition, the database can be stored numerically stored in the measurement information, the paper on the relationship between functional components, clinical trials, medical staff opinions. In addition, the database may store data on the relationship between the plurality of functional components, the relationship between the plurality of measurement items, as well as the applied plurality of functional components and medical survey information.

The generation of the machine learning model may include algorithms such as logistic regression, support vector machines, gradient boosting, and random forest. If the machine learning about the relationship between the measurement information of the subjects measured by the bioimpedance measuring device 10 and the functional components taken by the subjects is satisfied, 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 apparatus 10 and the functional components taken by the subjects from a database, It is possible to generate the necessary weights between the measurement information and the functional ingredients taken. The machine learning model can represent the relationship as a set of necessary weights of the functional components for the measurement information.

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

Although the necessity weight generation unit 50 is an example of generating the necessity weight through machine learning, the present invention is not limited thereto. The necessity weight generation unit 50 may input measurement information and information on predetermined necessity weights through papers, clinical experiments, and opinions of medical personnel regarding the relationship between functional components. The necessary weights may be expressed as a set as shown in FIG. 4 between the relationship between the plurality of functional components and the measurement information.

The necessity determiner 40 may include a necessity calculator 70.

The necessity calculation unit 70 is provided to calculate the necessity of each functional component from the measurement information of the subject acquired by the measurement information acquisition unit 30 and the necessity weight values stored in the necessity weight storage unit 54. .

For example, if the subject is female, the body fat percentage is 17%, and the basic metabolic rate is 1200 kcal, component 1, which is a kind of functional ingredients, is 0, component 2 is 1, and component 3 as for P1 in FIG. 4A. The required weight of silver 1 is applied, and the required weight of component 1 is 1, component 2 is 1, and component 3 is 0 for the basic metabolic amount as in P2 in FIG. 4A. In total, the component 1 need of the subject is 1, the component 2 need is 2, and the component 3 need is 1. The calculated needs may then be provided with the health functional foods of the corresponding functional ingredients together with the need information by the analysis result generator 80. In the example, since the necessity of component 2 is calculated as 2, which is higher than that of components 1 and 3, the necessity of component 2 together with component 2 can be recommended or suggested to the subject. In addition, the health functional food corresponding to the component 2 together with the component 2 may be proposed to the subject. Of course, health functional foods corresponding to the needs of components 1 and 3 and components 1 and 3 may be proposed to the subject.

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

5A and 5B illustrate information provided through an analysis result providing unit of a health care device according to an embodiment of the present invention, and FIG. 6 illustrates functional components stored in a database of the health care device according to an embodiment of the present invention. Table of health functional foods. It will be described together with the preceding figures.

The health care device 20 may include an analysis result generator 80.

The analysis result generator 80 is provided to generate information about the need of each functional component determined by the need determiner 40.

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

The necessity information generation unit 82 may generate information in which necessity summed by the necessity calculation unit 70 is listed for each functional component. The information on the functional component and the corresponding need is generated by the need 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. The description of the functional ingredient may be described as in FIG. 5B linked with A2 in FIG. 5A. In FIG. 5B, only the description of the functional ingredient is illustrated, but the description of the functional food may also be displayed. For convenience of description, FIGS. 5A and 5B are described as examples, but the information providing method is not limited.

The health functional food information generation unit 84 may generate the health functional food information corresponding to the functional ingredient, based on the necessity for each functional ingredient. The relationship between the functional ingredients and the health functional foods may be stored in a database, and the necessity information generation unit 82 is provided to provide the health functional food information matching the necessity 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. Functional foods for functional ingredients can be applied to the information stored in the database as shown in FIG.

The analysis result generator 80 may include an attention information generator 86.

Caution information generation unit 86 is provided to provide attention information for the functional ingredient or health functional food. That is, the necessity information generation unit 82 and the functional food information generating unit 84 is provided to generate high-intensity functional components, and health information when ingestion for health functional foods. The relationship between caution information, functional ingredients and dietary supplements can be applied to the information stored in the database. Attention information may be described as A3 in FIG. 5A by the analysis result providing unit 90 to be described later. For convenience of explanation, FIG. 5A is described as an example, but the information providing method is not limited.

Attention information may include activity, nutrition and sleep. Activities include things to watch out for in sports and general life, and nutrition matters about food and eating habits. Sleep information includes sleep habits and sleep-related eating habits. The attention information generation unit 86 may generate attention information about at least one of activity items, nutrition items, and sleep items based on the calculated needs and functional ingredient types.

Attention information may include information about diseases and conditions. 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 the specific functional ingredient, the attention information generation unit 86 is described as shown in A3 of FIG. 5A. Ingestion precaution information for may be generated.

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

The analysis result providing unit 90 is provided to provide an 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 care device 20. In addition, 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 care device 20. The transmitted data may be displayed on the display unit (not shown) of the bioimpedance measuring apparatus 10 or the user terminal 5.

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

The information provided by the analysis result providing unit 90 allows the medical staff to know the basic health information of the patients in advance, so that more accurate medical treatment can be performed based on the health information, and as a pre-test before the functional medicine test. It can be utilized.

In addition, the subject to be able to know the lack of functional components along with the biological information through the health care device 20, it is possible to continue health care.

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

7 is a flowchart of a health care apparatus according to an embodiment of the present invention.

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

In the measurement information, the need of functional components is calculated through the need weight generated by the need 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 needs of the functional components may be provided through the analysis result providing unit 90 together with the information of the functional components (S120). In addition, the analysis result providing unit 90 may provide the health functional foods corresponding to the functional ingredients, attention information.

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

In the description, a detailed description of the overlapping configuration is omitted.

8 is a block diagram of a health care device according to another embodiment of the present invention, and FIG. 9 is a table of measurement information and necessary weight values generated in the health care device of the bioimpedance measuring device according to another embodiment of the present invention. 10 is a flow chart of the necessary weight correction unit of the health care apparatus according to another embodiment of the present invention.

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

The necessity weight value correction unit 60 is provided to correct the necessity weight value generated by the necessity weight value generation unit 50.

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

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

The necessity weight correction unit 60 is provided to correct the necessity weight by raising or lowering the necessity weight value for the proposed or taken functional ingredient or health functional food. Correction of the necessary weight values may be performed based on improvement of a plurality of measurement item data of measurement information. The criteria for improvement can be divided into improvement by moving from under category (category 1, 2) and excess category (category 4, 5) to normal category (category 3), and not by moving away. Through this process, the health care device 20 can promote personalized health care for each individual.

The necessary weight correction unit 60 may correct the required weight of the measurement item for each functional ingredient. 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.

For example, referring to FIG. 4, A1 requires a weight of classification 1 to 5 A1 (0,0,1,2,3). When the correction is made by the necessary weight correction unit 60, A1 (0, 0, 1, 2, 3) is A1 (0, 1, 2, 3, 4). Corrections may be made sequentially to 0,0,1,2).

The following describes a method for correcting the required weight value by the necessary weight value correction unit.

As shown in FIG. 10, the necessary weight correction unit 60 supplies specific measurement item data of the n-th measurement information of the subject from the database to the need calculation unit 70 and the analysis result generator 80 after the n-th measurement information. After taking the proposed specific functional ingredient or the specific health functional food, the specific measurement item data of the n + 1st measurement information measured are obtained (S200).

Thereafter, it is compared whether the specific measurement data is improved in the specific measurement data of the n-th measurement information and the specific measurement data of the n + 1st measurement information (S210).

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

By determining whether the specific metric data is improved (S220), on the contrary, when the specific metric is not improved in the n + 1st measurement information, the required weight of the proposed functional component for the corresponding schedule item may be lowered (S240). .

For example, it is assumed that the female subject has a body fat percentage classification 2 and a basic metabolic rate classification 2 in the primary measurement information, and the health functional food corresponding to the component 2 is proposed by the health care device 20.

In the second measurement information of female subjects, when the body fat percentage and the basal metabolic rate are improved to classify 3, the required weights corresponding to B1 and B2 in FIG. 8 may be increased. In other words, as the required weight increases, the influence of the proposed dietary supplement on the subject can be improved.

On the contrary, in the second measurement information of female subjects, if the body fat rate and the basic metabolic rate do not improve and fall under the same category 2 or deviate from the normal category, the necessary weights corresponding to B1 and B2 in FIG. 8 may be decreased. . In other words, by lowering the required weight, the impact on the proposed dietary supplement for the subject can be lowered. Through this, the necessary weights of other functional ingredients are measured relatively high, so that health functional foods corresponding to other functional ingredients can be proposed.

11 is a block diagram of a necessary weight generation unit of a health care apparatus according to another exemplary embodiment of the present invention.

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

The plurality of necessary weight storage 54 may include a plurality of individual need weight storage 54a. Each individual need weight storage unit 54a may store the individual need weights. The necessity weight correction unit 60 may correct the necessity weight information of the individual stored in the personal necessity weight storage unit 54a. Through this, by varying the influence of functional components for each individual, it is possible to implement a personalized health care system and health care device for more individual.

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

The group need weight storage units 54b, 54c, and 54d are configured to store group need weights for a predetermined group of subjects having a common feature among a plurality of subjects. The number of groups is not limited, and the kind of common features is not limited. The individual need weight correction unit 54a may be independent of the group need weight storage units 54b, 54c, and 54d.

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

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

The group need weight storage unit may include an age required weight storage unit 54b, a gender need weight storage unit 54c, and a total need weight storage unit 54d. The necessary weight value storage unit 54b for each age, the gender necessary value storage unit 54c, and the total required weight storage unit 54d may store the necessary weight values of the age group, the gender group, and the entire group of the subjects, respectively. As the necessity weight value of a certain group, such as age, gender, and the entire subject, is differently corrected by the necessity weight correction unit 60, the health care device 20 may provide more personalized health care for the predetermined group. That is, by varying the influence of the functional components on the age, sex, the entire subject, it is possible to implement a more customized health management system and health care device.

For example, in a group of 25 to 30 years old, when a certain ratio is corrected in which the required weight value of the A1 sector falls, the necessary weight correction unit 60 is a 25-30 year old of the age-specific necessary weight storage unit 54b. A correction can be made to reduce the overall required weights for the group.

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

In the above embodiment, the necessary weight correction unit 60 corrects the required weights of the measurement items for each functional component. However, in the present embodiment, the necessary weight values may be corrected for each functional component. That is, the necessary weight value correction unit 60 includes the necessary weight values A1, A2, A3, and A4 of the component 1, the required weight values B1, B2, B3, and B4 of the component 2, and the required weight values of the component 3 ( C1, C2, C3, C4) can be corrected.

As shown in FIG. 12, the specific measurement item data of the n-th measurement information of the subject and the specific functional component or the specific health function proposed to the need calculation unit 70 and the analysis result generation unit 80 after the n-th measurement information. After taking the food, the specific measurement item data of the n + 1st measurement information measured are obtained (S300).

Thereafter, it is compared whether the specific measurement data is improved in the specific measurement data of the n-th measurement information and the specific measurement data of the n + 1st measurement information (S310).

By determining whether the specific metric data is improved (S320), when the specific metric data is improved, the required weight of the proposed specific functional component may be increased (S330).

By determining whether the specific metric data is improved (S320), if the corresponding specific metric is not improved in the n + 1st measurement information, the required weight of the proposed specific functional component may be lowered (S340).

As an example, a female subject has a body fat percentage of classification 2 and a basic metabolic rate of classification 2 presented in the primary measurement information, and as the need for component 2 is calculated by the health care device 20, component 2 and component Assume that a dietary supplement corresponding to 2 is proposed.

In the secondary measurement information of female subjects, if the body fat percentage and basal metabolic rate were improved to classify 3 (normal), respectively, the necessary weight values corresponding to B1, B2, B3, and B4 corresponding to component 2 in FIG. 9 will be increased. Can be. In other words, as the required weight increases, the influence of the proposed dietary supplement on the subject can be improved.

On the contrary, in the second measurement information of female subjects, if body fat percentage and basal metabolism do not improve and fall under the same category 2 or deviate from the normal category, B1, B2, B3, and B4 corresponding to component 2 in FIG. It may lower the weighting of needs. In other words, by lowering the required weight, the impact on the proposed dietary supplement for the subject can be lowered. Through this, the necessary weights of other functional ingredients are measured relatively high, so that health functional foods corresponding to other functional ingredients can be proposed.

In the above, specific embodiments have been illustrated and described. However, the present invention is not limited to the above-described embodiments, and those skilled in the art may make various changes without departing from the spirit of the technical idea of the invention as set forth in the claims below. .

1: health care system 10: bioimpedance device
20: health management device 30: measurement information acquisition unit
40: need determining unit 50: need weight generation unit
52: machine learning unit 54: necessary weight storage unit
80: analysis result generation unit 90: analysis result provider

Claims (12)

A measurement information acquisition unit to which specific measurement information of the subject from the bioimpedance device is input;
A necessity determination unit which numerically determines the necessity of each functional component by the calculation of the specific measurement information;
And an analysis result providing unit providing information on the determined need of the functional ingredients.
The need determination unit,
A necessity weight generation unit for generating respective necessity weights from the relationship between the plurality of measurement information and the functional components;
And a necessity calculator configured to calculate a necessity of the functional components based on the specific measurement information and the necessary weights.
The necessary weight generation unit,
A machine learning unit which learns from a plurality of measurement item data of the plurality of measurement information accumulated in a database and data on the provided functional components, and learns the relationship between the plurality of measurement item data and the provided functional components, A machine learning unit for generating the necessary weights based on improvement of the plurality of measurement item data for the provided functional components;
Health care device using a bio-impedance measuring device comprising a; necessary weight storage unit for storing the necessary weights generated by the machine learning unit. delete delete The method of claim 1,
The need determination unit,
Health care device using a bio-impedance measuring device further comprises; a necessary weight value correction unit for correcting the predetermined necessary weights stored in the necessary weight storage unit according to a predetermined condition. The method of claim 4, wherein
The specific measurement information,
and n + th measurement information, and n + 1st measurement information measured after a particular functional component is provided after the nth measurement information.
The necessary weight correction unit,
If the specific measurement data of the n + 1st measurement information is improved than the specific measurement data of the n-th measurement information, corrected to increase the required weight of the specific functional component for the specific measurement,
When the specific measurement data of the n + 1st measurement information is not improved than the specific measurement data of the nth order measurement information, the correction value is configured to lower a required weight value of the specific functional component for the specific measurement item. Health care device using bioimpedance measuring device. The method of claim 4, wherein
The specific measurement information,
and n + th measurement information, and n + 1st measurement information measured after a particular functional component is provided after the nth measurement information.
The need weight supplementary government,
If the specific measurement data of the n + 1st measurement information is improved than the specific measurement data of the n-th measurement information, corrected to increase the required weight of the specific functional component,
When the specific measurement item data of the n + primary measurement information is not improved than the specific measurement data of the n-th measurement information, using the bio-impedance measuring device configured to correct so as to lower the required weight of the specific functional component Health care device. The method of claim 4, wherein
The necessary weight storage unit,
Health care device using a bio-impedance measuring device comprising a; a plurality of individual need weight storage unit for storing the individual need weights of each of the subjects for the plurality of subjects. The method of claim 7, wherein
The necessary weight storage unit,
And a group necessity weight storage unit for storing group necessities for a certain group classifying the subjects having a common feature among the plurality of subjects.
A bioimpedance measuring device configured to correct the group need weights of the group need weight storage unit when a correction occurs in which the individual need weights of the subjects belonging to the predetermined group are equal to or greater than a predetermined ratio by the need weight correction unit. Health care device using. The method of claim 8,
The schedule group,
Health care device using a bio-impedance measuring device including at least one of sex, age group, all. The method of claim 1,
And an analysis result generation unit for generating an analysis result together with information on the necessity of the functional components.
The analysis result generation unit,
A bioimpedance measuring device comprising a; health functional food information generation unit for providing information about the functional ingredients with a high degree of necessity among the functional components calculated by the necessity calculation unit and the health functional food corresponding thereto; Health care device using. The method of claim 10,
The analysis result generation unit,
Health care device further comprising; for the provided functional ingredients and health functional food, the attention information generation unit for generating attention information on the point to be careful when having a certain disease. A bioimpedance device for measuring biometric information through bioimpedance analysis;
And a health care device receiving specific measurement information from the bioimpedance device and suggesting a functional ingredient.
The health care device,
A measurement information acquisition unit to receive the specific measurement information from the bioimpedance device;
A necessity determination unit which numerically determines the necessity of each functional component by the calculation of the specific measurement information;
Includes; an analysis result providing unit for providing information on the determined need of functional components,
The need determination unit,
A necessity weight generation unit for generating respective necessity weights from the relationship between the plurality of measurement information and the functional components;
And a necessity calculator configured to calculate a necessity of the functional components based on the specific measurement information and the necessary weights.
The necessary weight generation unit,
A machine learning unit which learns from a plurality of measurement item data of the plurality of measurement information accumulated in a database and data on the provided functional components, and learns the relationship between the plurality of measurement item data and the provided functional components, A machine learning unit for generating the necessary weights based on improvement of the plurality of measurement item data for the provided functional components;
And a necessity weight storage unit for storing the necessity weights generated by the machine learning unit.

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