KR20200060865A - User cumtomized health information providing device and method thereof - Google Patents

Abstract

The present invention provides a user customized health information providing device including: a user information management unit which receives user information including information about a user health state from a user terminal; a user state management unit measuring a user body state to obtain user body state information; an external environment information management unit which collects harmful environmental information outside the user according to a current user location; a data processing unit which analyzes the user information received from the user, the user body sate information, and the harmful environmental information, and calculates the predictive index of the diseases which could potentially affect the user; and a user service providing unit which derives and provides user-customized information recommended to the user according to the predictive index of the disease.

Description

USER CUMTOMIZED HEALTH INFORMATION PROVIDING DEVICE AND METHOD THEREOF}

The present invention is a technique for measuring environmental and health conditions, deriving disease warning messages, and providing user-customized information, and more specifically, diseases that may occur to a user based on the user's status information, activity information, and external environment information. The present invention relates to an apparatus and method for providing user-specific health information capable of providing optimized health-related information and services to users.

The user's biometric technology can measure the current user's exercise volume, respiratory rate, heart rate, blood pressure, blood sugar, etc. using various equipment worn on the user. In addition, when the user's current biological condition and external environmental factors are analyzed together, more accurate information suitable for the current user's situation and environment can be provided. In particular, the environmental monitoring technology can monitor the environment in a manner that monitors the concentration of pollutant emissions in the area to be monitored in real time and notifies the control center or the user when an abnormality is detected.

Korean Registered Patent No. 10-1316662 (2013.10.10) relates to a wear platform for monitoring the air environment that can protect the health and safety of a wearer or a service user based on air quality measured from the wearer's surroundings, A sensor unit for sensing the concentration of various gases in the atmosphere; An alarm output unit that alerts the user to evacuate by stimulating the human five senses when the ambient gas concentration sensed by the sensor unit is determined to be a dangerous situation; And computing location data measured through the GPS unit for measuring the current location and data sensed by the sensor unit to the outside through a wireless communication network, and wirelessly receiving data from the outside to control the sensor unit and the alarm output unit. It is equipped with a module part.

Korean Patent Registration No. 10-0673252 (2007.01.16) relates to a health information prediction system capable of providing a health-related diagnostic service using a mobile communication terminal, a wired/wireless communication network including a mobile communication network and an Internet network; A mobile communication terminal for inputting health information for each user and receiving prediction information for a disease; A communication server for performing a communication connection with a wired/wireless communication network and a mobile communication terminal, inducing member registration, and storing user-specific health information and personal environment information for the registered member; And a health prediction server for providing symptom information for various diseases and prediction of outbreaks of the related symptoms in order to provide health prediction information for each user based on user-specific health information and personal environment information in connection with a communication server. .

Korean Registered Patent No. 10-1316662 (2013.10.10) Korean Registered Patent No. 10-0673252 (2007.01.16)

One embodiment of the present invention is to provide a technique capable of providing optimized health-related information to a user by analyzing the degree of hazards related to hazardous substances and air environment based on user-dependent health safety factors.

According to an embodiment of the present invention, through analysis of a user's lifestyle, disease, and various biological conditions through interworking with a wearable device, the most appropriate information can be provided to the user by associating the level of harmful substances or the risk of the atmospheric environment. We want to provide technology.

Among embodiments, a user information management unit that receives user information including information about a user's health state from a user terminal; A user state management unit measuring the user's body state to obtain user body state information; An external environment information management unit that collects environmental harmful information outside the user according to the current user's location; A data processing unit that analyzes the user information received from the user, the user's body condition information, and the environmental harmful information, and calculates an index for predicting the onset of a disease likely to occur to the user; And a user service providing unit that derives and provides user-customized information recommended to the user according to the outbreak prediction index.

Receiving user information including information on a user's health status from a user terminal; Receiving user body condition information obtained by measuring the user's body condition; Collecting environmental harmful information outside the user according to the current user's location; Analyzing the user information received from the user, the user's body condition information, and the environmental harmful information, and calculating an incidence prediction index of diseases likely to occur to the user; And deriving and providing user-customized information recommended to the user according to the outbreak prediction index.

According to an embodiment of the present invention, it is possible to provide optimized health-related information to a user by analyzing the degree of risk of environmental factors such as harmful substances and atmospheric environment based on user-dependent health safety factors.

According to an embodiment of the present invention, through analysis of a user's lifestyle, diseases, and various biological conditions through interworking with a wearable device, it is possible to provide the most suitable information to the user by correlating the level of harmful substances or the risk of the atmospheric environment. have.

1 is a view showing a user-customized health information providing system according to an embodiment of the present invention.
2 is a block diagram illustrating an apparatus for providing user-specific health information according to an embodiment of the present invention.
3 is a block diagram showing functional elements of a processor in a user-customized health information providing apparatus according to an embodiment of the present invention.
4 is a flowchart illustrating a process in which a user-customized health information providing method according to an embodiment of the present invention is performed.

Since the description of the present invention is merely an example for structural or functional description, the scope of the present invention should not be interpreted as being limited by the examples described in the text. That is, since the embodiments can be variously changed and have various forms, it should be understood that the scope of the present invention includes equivalents capable of realizing technical ideas. In addition, the purpose or effect presented in the present invention does not mean that a specific embodiment should include all of them or only such an effect, and the scope of the present invention should not be understood as being limited thereby.

Meanwhile, the meaning of terms described in the present application should be understood as follows.

Terms such as "first" and "second" are for distinguishing one component from other components, and the scope of rights should not be limited by these terms.

For example, 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.

When a component is said to be "connected" to another component, it may be understood that other components may exist in the middle, although they may be directly connected to the other component. On the other hand, when a component is said to be "directly connected" to another component, it should be understood that no other component exists in the middle. On the other hand, other expressions describing the relationship between the components, that is, "between" and "immediately between" or "neighboring to" and "directly neighboring to" should be interpreted similarly.

Singular expressions are to be understood as including plural expressions unless the context clearly indicates otherwise, and terms such as “comprises” or “have” are used features, numbers, steps, actions, components, parts or the like. It is to be understood that a combination is intended to be present, and should not be understood as pre-excluding the existence or addition possibility of one or more other features or numbers, steps, actions, components, parts or combinations thereof.

In each step, the identification code (for example, a, b, c, etc.) is used for convenience of explanation. The identification code does not describe the order of each step, and each step clearly identifies a specific order in context. Unless stated, it may occur in a different order than specified. That is, each step may occur in the same order as specified, may be performed substantially simultaneously, or may be performed in the reverse order.

The present invention can be embodied as computer readable code on a computer readable recording medium, and the computer readable recording medium includes all kinds of recording devices in which data readable by a computer system is stored. . Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tapes, floppy disks, optical data storage devices, and hard disk storage devices.

All terms used herein have the same meaning as generally understood by a person skilled in the art to which the present invention pertains, unless otherwise defined. The terms defined in the commonly used dictionary should be interpreted as being consistent with the meanings in the context of the related art, and cannot be interpreted as having ideal or excessively formal meanings unless explicitly defined in the present application.

1 is a view showing a user-customized health information providing system according to an embodiment of the present invention.

Referring to FIG. 1, the user-customized health information providing system 100 may include a user-customized health information providing device 110, at least one sensor 120, a wearable device 130, and a user terminal 140. .

The user-customized health information providing device 110 corresponds to a computing device that can be connected to the at least one sensor 120, the wearable device 130, and the user terminal 140 through a network.

The at least one sensor 120 may be connected to the user-customized health information providing device 110 through a network. In one embodiment, the at least one sensor 120 is each at least one first sensor 120a that measures or senses the user's bio-related information within a specific sensing area to generate the measured value, and the user's external environment Alternatively, the sensor may include a second sensor 120b that senses harmful substances to generate environmentally harmful information, and may further include a third sensor 120c that measures and generates other environmentally hazardous information.

For example, the first sensor 120a may be worn on the user's human body or set in a space where the user stays, and at least one of the second sensor 120b and the third sensor 120c may be spread over a large area. Each unit area may be repeatedly arranged.

In one embodiment, the first sensor 120a may be implemented as a temperature-humidity sensor that measures temperature and humidity in the sensing region, and the second sensor 120a is configured to detect harmful substances such as environmental hormones or carcinogens in the sensing region. It may be implemented as a hazardous substance sensor that senses the amount, and the third sensor 120c may be implemented as an atmospheric environment sensor that senses the amount of fine particles, such as environmental pollutant gases and fine/fine particles in the atmosphere. In one embodiment, the hazardous substance may be a toxic substance, a prohibited substance for handling, or a long-term exposure, which may have an adverse effect on a person's health or the environment, and may correspond to an observation substance selected and announced by the Ministry of Environment of Korea.

The wearable device 130 is a computing device that can be connected to the user-specific health information providing device 110 through a network, and in one embodiment, a user such as an accessory type, a textile/clothing type, a body type, or a biograft type. It is implemented as a wearable wearable device to measure the user's bio data periodically or aperiodically, but is not limited thereto, and implemented as a portable device to measure bio data under the control of the user. It may. In one embodiment, the wearable device 130 may generate bio data including at least one of sleep time, pulse rate, activity level, hypertension, and diabetes by contacting a user's body or penetrating into a specific body, and sensing for each The sensor modules may be included and implemented.

The user terminal 140 corresponds to a computing device that can be connected to the user-specific health information providing device 110 through a network, and may be implemented as, for example, a desktop, laptop, tablet PC, or smartphone.

In one embodiment, the at least one sensor 120, the wearable device 130 and the user terminal 140 may be implemented as mutually independent computing devices, and in another embodiment, at least some of them are one computing It can be integrated into the device.

2 is a block diagram illustrating an apparatus for providing user-specific health information according to an embodiment of the present invention.

Referring to FIG. 2, the user-customized health information providing device 110 may include a processor 210, a memory 220, a user input/output unit 230, and a network input/output unit 240.

The processor 210 may execute a user-specific health information providing procedure in FIG. 4, manage the memory 220 that is read or written in this process, and may include volatile and nonvolatile memory in the memory 220. It is possible to schedule the synchronization time between. The processor 210 can control the overall operation of the user-customized health information providing device 110, and is electrically connected to the memory 220, the user input/output unit 230, and the network input/output unit 240 to flow data therebetween. Can be controlled. The processor 210 may be implemented as a central processing unit (CPU) of the user-customized health information providing device 110.

The memory 220 is implemented as a non-volatile memory such as a solid state disk (SSD) or a hard disk drive (HDD), and includes an auxiliary storage device used to store overall data required for the user-specific health information providing device 110. It may include a main memory implemented with volatile memory, such as random access memory (RAM).

The user input/output unit 230 includes an environment for receiving user input and an environment for outputting specific information to a user, for example, a mouse, trackball, touch pad, graphic tablet, scanner, touch screen, keyboard, or pointing It may include an input device including an adapter such as a device and an output device including an adapter such as a monitor. In one embodiment, the user input/output unit 230 may correspond to a computing device connected through a remote connection.

The network input/output unit 240 includes an environment for connecting to at least one of the at least one sensor 120, the wearable device 130, and the user terminal 140, for example, LAN (Local Area Network) communication For adapters.

3 is a block diagram showing functional elements of a processor in a device for providing user-specific health information according to an embodiment of the present invention.

The processor in the apparatus for providing personalized health information according to an embodiment of the present invention includes a user information management unit 310, a user status management unit 320, an external environment information management unit 330, a data processing unit 340, and a user service providing unit 350 ).

The user information management unit 310 receives and manages user information including information on a health condition from the user.

The user information may include one or more of membership registration information, questionnaire data, food intake, usual diet, medical history, family history, treatment history, surgical history, and allergy created when the user registers for membership. The user information may be information that a user fills in as a member to use a user-specific health information providing system or a user-specific health information providing device, or may be information added and supplemented from time to time after membership registration.

In addition, the user information may be medical and health record data held by the medical insurance corporation for the user. Alternatively, user information may also include health checkup data, various prescription and medication data for the user, and long-term care data for the elderly.

In addition, when registering a member or operating a user-specific health information providing system, the user-specific health information providing device may provide a questionnaire to the user. After providing the questionnaire related to medical and health and physical condition, and having the user fill out the questionnaire, the answer information of the questionnaire can be used as user information.

Other user information may include information related to health that the user has personally created and entered. User information can include everything from relatively simple and basic information, such as height, weight, and body fat, to more detailed information such as past medical history, family history, allergies, eating habits, lifestyle, and exercise habits.

In one embodiment, the user information management unit 310 may manage personal health records for each user, for example, by collecting bio-data of the user for a specific time period to generate and update personal health records.

The user state management unit 320 obtains and manages user body state information by measuring a user's body state. If the user information managed by the user information management unit 310 is information directly input by the user, there is a difference that user body status information managed by the user status management unit 320 is data measured through a sensor or a measuring device.

The user's body condition information is information measured by the sensor 120 worn by the user or located adjacent to the user, and may include the user's heart rate, exercise amount, respiratory volume, blood sugar, blood pressure, sleep time (sleep time and wake-up time) ).

Therefore, in this case, the sensor 120 according to an embodiment of the present invention may include a heart rate measurement sensor, a mobile phone having an application functioning as a pedometer or pedometer, a measuring device such as a blood glucose meter or a blood pressure monitor. Measurement of the user's physical condition information may be automatically or manually. For example, exercise information, such as the number of steps and calories burned, can be automatically measured, and the user can cooperate with the measurement and numerical input actions to utilize blood sugar or blood pressure values.

In more detail, the user state management unit 320 may receive user body state information and a wearable device identifier including at least one of sleep time, pulse, activity, blood pressure, diabetes, body temperature, and breath from the wearable device 130. Thereafter, user information matched for each wearable device identifier may be obtained from the pre-stored device-user management data according to the reception, and may be related to the received user body state information.

The user state management unit 320 may associate the received user body state information in consideration of the importance of each user in a specific aspect and the relationship between external environment, that is, environmental harmful information. For example, it may be used to derive an index of lung disease incidence in association with harmful environmental information regarding air pollution and respiratory or exercise. Alternatively, temperature and humidity, sleep time, exercise amount, etc. may be used in connection with deriving the incidence index of heart disease.

The user state management unit 320 may distinguish sleep bio data and activity bio data from the user's body state information. In one embodiment, the user state management unit 320 may classify the sleep time and pulse in the bio data as sleep bio data, the activity amount as activity bio data, and the blood pressure, diabetes, body temperature, and breath as health bio data Can be distinguished.

The user state management unit 320 may acquire stress data based on the sleep time and pulse in the sleep bio data. In one embodiment, the user state management unit 320 compares and analyzes the sleep time based on the user's average sleep time for a reference sleep time (eg, 7 hours) or a specific time period (eg, for the last 3 months) The heart rate in the pulse is compared and analyzed with a reference heart rate (eg, 70 bpm) or a user's average heart rate over a specific time period (eg, in the last 3 months) to determine the user's stress based on the difference in comparison values. It is possible to generate stress data indicating the relative size. In one embodiment, the user state management unit 320 may express stress data as a grade constant corresponding to a stress grade and calculated as a natural number in a specific range.

The user state management unit 320 may acquire fitness data based on the amount of activity in the activity bio data. In one embodiment, the user state management unit 320 compares the number of steps in the amount of activity with a reference number of steps (for example, 5000) or a user average number of steps for a specific time period (for example, in the last 3 months) By analyzing, it is possible to generate fitness data indicating the relative size of the user's fitness based on the difference in comparison values. In one embodiment, the user state management unit 320 may express fitness data as a grade constant corresponding to a fitness grade and calculated as a natural number in a specific range.

The user state management unit 320 may obtain health data based on blood pressure and diabetes in user body state information. For example, the user state management unit 320 compares and analyzes blood pressure with a reference blood pressure (for example, 120/80 mmhg) and compares and analyzes diabetes with a reference diabetes (for example, 100 mg/dL) to determine the difference in comparison values. On the basis, it is possible to generate health data indicating the relative good and bad degree of user health. In one embodiment, the user state management unit 320 may express health data as a grade constant that corresponds to a health grade and is calculated as a natural number in a specific range.

The user state management unit 320 may analyze the personal health record in the process of analyzing lifestyle, detect the user's disease data, and generate a health safety factor associated with the disease data as a user-dependent health safety factor. In one embodiment, the user state management unit 320 detects the presence or absence of disease data of the user by reading the personal health record associated with the pre-stored user, and specific disease data (eg, [diabetic diabetes]) When detected, a health safety factor (eg, diabetes) associated with the disease data may be generated as a user-dependent health safety factor. Here, the association between health and safety factors with disease data can be established and changed in advance by the designer or user.

The user state management unit 320 may receive specific disease data designated by the user from the wearable device 130 or the user terminal 140 and reflect it in the personal health record of the user, in another embodiment, Under approval, the user's personal health record may be updated in conjunction with a medical institution server (not shown).

After the user body state information is measured by the sensor 120, the body state information may be transmitted to the user state management unit 320 in the memory 220 or the user-specific health information providing device 110 through a network. If the body condition information measured by the external sensor and stored in the external server is used, the user-customized health information providing device 110 may receive the corresponding body condition information through the network input/output unit 240.

In addition, the sensor may be an external sensor connected to an external server, not a sensor included in a user-customized health information providing system. However, if an external server and a user-customized health information providing device are connectable and data sharing is possible, data measured by a sensor connected to an external server may be used as user body condition information according to an embodiment of the present invention.

When the sensor measures the user's body condition, the user's body condition information may be transmitted to a user-specific health information providing device through a network.

The external environment information management unit 330 collects and manages environmental harmful information outside the user according to the current user's location.

Environmental harmful information may also be measured by the sensor 120. In this case, the sensor that measures environmental harmful information is a sensor that measures a numerical value for an external environmental factor of a user, unlike a sensor that measures user's physical condition information such as a user's biosignal, and the sensor includes, for example, temperature and humidity, carbon monoxide, carbon dioxide Carrying substances such as nitrogen monoxide or nitrogen dioxide, ozone, formaldehyde or bisphenol or environmental hormone substances, radon, fine dust, ultrafine dust, ultraviolet rays, radiation, etc. are sensed and the results are provided as user-specific health information as environmental harmful information Device.

As described above, the environmental harmful information may be measured by one or more sensors 120 that are physically separated from the user-customized health information providing device but connectable by a wired or wireless communication network.

Environmental hazard information indicates the environmental hazard of the user's location, so it can be measured by a device mounted on the user. Alternatively, after the sensors are evenly distributed over a wide area, the measurement value of the sensor 120 or a measurement station closest to the current user's location may be used as environmental harmful information around the user.

Therefore, the environmental harmful information stored in the external environmental information management unit 330 may include temperature and humidity information, daily intersection information, air quality information, pollutant information, harmful substance information, UV index, and radiation levels of the user's location, and infectious diseases Or one or more of the risk factors for food poisoning.

In addition, the external environmental information management unit 330 may subdivide the above-mentioned environmental harmful information according to the degree of harmfulness. That is, the external environmental information management unit 330 may display environmental harmful information as an environmental harmfulness index within a specific numerical range, for example, 0 to 10 or -10 to 10, 0 to 100, depending on the risk, severity, and pollution level.

Here, temperature and humidity information, air quality information, pollutant information, hazardous substance information, UV index, and radioactivity values are merged and quantified into one or more comprehensive values, or each factor may be calculated as separate environmental hazard information and environmental hazard index. have.

In one embodiment, the external environment information management unit 330 receives temperature and humidity measurement values from the first sensor 120a and microcystin, okratoxin, and bisphenol from the second sensor 120b. ) You can receive the measured values and include them in the environmental hazard information. In the above, the environmental harmful information is described as an example including microcystine, okratoxin, and bisphenol measurement values, but is not limited thereto, and various other substances that may be classified as hazardous substances, handling caution substances, or observed substances It may include a measurement value for.

In one embodiment, the external environmental information management unit 330 may receive nitrogen monoxide, ultraviolet light, and fine dust measurement values from the third sensor 120c and include the environmental harmful information. In one embodiment, the ultraviolet measurement value may be generated through ozone concentration measurement, for example, may be measured through ultraviolet absorption measurement by ozone. In one embodiment, the environmental harmful information may further include at least one of sulfur dioxide, carbon monoxide, carbon dioxide, nitrogen dioxide, lead and benzene. Likewise, in the above, the environmental harmful information is described as an example including nitrogen monoxide, ultraviolet light and fine dust measurement values, but is not limited thereto, and can be classified as a reference measurement object for measuring the degree of pollution in the air environment It may include measurements for various other gases or particles.

The data processing unit 340 may analyze user information input from the user, user physical condition information, and environmental harmful information, to calculate a disease that is likely to occur to the user and a predicted index of the disease.

The data processing unit 340 may select a probable disease, for example, lung cancer, stomach cancer, arthritis, liver cancer, diabetes, thyroiditis, hypertension, stroke, heart disease, and kidney disease, which are the top 10 diseases of Koreans. In addition, if there is a temporary epidemic (influenza, food poisoning, enterocolitis due to norovirus, hand, foot, mouth, etc.), the data processing unit 340 may additionally include the disease as a target.

The data processing unit 340 may select one or more diseases that are likely to occur to the user according to the user information, the user's physical condition information, and environmental harmful information, and provide disease information and user-specific information suitable for the disease. have.

Here, the data processing unit 340 may calculate relevant disease selection and outbreak prediction index by associating relevant user information, user status information, and environmental harmful information.

For example, if there is a medical history or family history of cancer through user information, it is user information about eating habits, user status information about sleep time or stress index, and harmful information about carcinogens, radioactivity, and fine dust among environmental harmful information It can be associated with to calculate the incidence index.

As another example, the onset prediction index may be calculated by associating user information on a history of lung disease or smoking with environmental harmful information on air pollution. In addition, user information on gastric cancer or gastrointestinal diseases may be associated with environmentally harmful information on food habits, stress index, and the risk of food poisoning including temperature and humidity. The onset prediction for heart disease may be calculated by associating user information on a medical history, family history, or occupation with user status information such as a user's blood pressure, blood sugar, exercise volume, respiratory volume, and stress index.

First, the onset prediction index P may be calculated by Equation 1 below.

[Equation 1]

P is an outbreak prediction index, U is user information, U ₀ is a preset reference value for user information, C is a user physical condition information, C ₀ is a preset reference value for user body condition information, E is environmental harmful information, E ₀ Is a preset reference value for environmental harmful information, and T is an exposure time.

The user state management unit 320 may set the user information or the user's body state information of relatively high importance to the user as a main factor by reflecting the user's disease information. For example, user physical condition information or environmental harmful information associated with a previous medical history or family history may be set as a main factor. That is, in the case of a user with a previous medical history or family history of thyroid cancer, radioactivity level or sleep time may be set as a main factor.

 Similarly, the user's body condition information having a significant significance to the user at a time beyond the appropriate range (reference range) at the time of measurement of the user's body condition information can be flexibly determined as the main factor. In this case, the user body state information set as the main factor may be calculated by placing a weight (w) when the data processing unit 340 selects a disease that may cause an outbreak and calculates an outbreak prediction index.

For example, when obtaining an index for predicting the development of the invention for lung cancer, user information, user body condition information, and environmental harmful information related thereto may be used in Equation 1 above. That is, if there is a history of onset depending on whether or not the history of the onset of respiratory disease, U may be set to (number of onset +1) and U ₀ to 1. And C is the amount of breathing or outdoor activity, and may be set as the number of steps. In this case, C ₀ may be set to 1,000 steps, for example, C may be 1500 steps. In addition, the environmental harmfulness index for fine dust may be, for example, the fine dust concentration E of the measurement day is 90 μg/m ₃ and the reference value E ₀ may be 20 μg/m 3. It is also assumed that the user has been exposed to this environment for 2 hours. In this case, the incidence index P for lung cancer is calculated to be 13.5.

If the amount of activity or steps is set as the main factor for the user, it can be calculated by multiplying the amount of activity or steps by the weight w. This can be expressed by Equation 2 below.

[Equation 2]

Therefore, when the above weight is set to 3, the incidence index P for lung cancer may be calculated as 40.5 rather than 13.5.

The data processing unit 340 may calculate the outbreak prediction step by subdividing the outbreak prediction index of the disease from the first step to the tenth step according to an increase in the probability of invention. That is, in the above example, the onset prediction index 0 to 10 is 1 stage, 11 to 20 is 2 stage, and 21 to 30 are 3 stages. May provide the disease name and/or information on the disease to be predicted.

The user service providing unit 350 derives and provides user-customized information recommended to the user according to the selected disease and the prediction index of the disease.

The user service providing unit 350 recommends food, medicine, diet, exercise, restaurant, treatment, and behavioral guidelines recommended by the data processing unit 340 according to the selected disease as a result of analysis of user information, user body condition information, and environmental harmful information, It may include information on one or more of a shopping mall and goods.

In addition, the user service providing unit 350 may provide the user-customized information for the disease corresponding to a step above a preset reference step.

For example, the user service provider 350 may manage a table of recommended foods for each disease as shown in [Table 1] below.

Disease name Good food Lung cancer Yulmu, soybean, bellflower, sweet potato, ginkgo, peanut, etc. Stomach cancer Brown rice, vegetables, coffee beans, etc. Blue fish, beans, etc. arthritis Kiwi, safflower seeds, 톳, spinach, milk, broccoli, etc. Liver cancer Carrots, leek, cheonggukjang and beans, garlic mussel, hut diabetes Brown rice, vegetables, coffee beans, etc. Blue fish, beans, etc. Thyroiditis Peaches, black beans, broccoli, cabbage, etc. High blood pressure Spinach, vegetables, garlic, etc. Blue fish, beans, ginkgo, etc. stroke Milk, green-yellow vegetables, eggs, miso, tomatoes, onions, etc. heart disease Brown rice, vegetables, coffee beans, etc. Blue fish, beans, etc. Kidney disease Old pumpkin, black beans, dried chestnuts, corn beard, Yulmu, etc.

When a disease suspected or concerned is selected by the data processing unit 340, the user service provider 350 may recommend a food corresponding to the disease, a place of purchase of the recommended food, and a recommended diet or a disease using the recommended food. User-specific information that is optimized for the user, such as a medical center recommending a user, can be derived and provided to the user.In addition, when the incidence prediction index is relatively low, action guidelines, recommended diets, recommended foods, exercise methods, etc. It provides user-customized information, and when the outbreak prediction index is relatively high, it provides information on the medical center or hospital medical reservation page, available drugs, and where to purchase, and provides differential information according to the size of the outbreak prediction index. It can also be provided. A reference value can be set in advance for the case of the incidence prediction index.

4 is a flowchart illustrating a method for providing user-customized health information according to an embodiment of the present invention.

First, the user-customized health information providing apparatus according to an embodiment of the present invention receives user information including information on a user's health status (S410). User information may be input through the user terminal 140, and the received user information may be stored in the memory 220.

And the user-customized health information providing device receives the user's body state information obtained by measuring the user's body state (S420). User body state information may be measured by the user wearable device 130 or various sensors 120. In addition, the user-customized health information providing device may be connected to the network through the user wearable device 130 or the sensor 120 through the connection.

In addition, when the user's body condition information is measured by an external sensor or the like outside the user-customized health information providing system, and the user's body condition information is stored in an external server connected to the sensor, the user-customized health information providing device is connected to the external server. You can also try to receive user body condition information from an external server.

In addition, the user-customized health information providing device may collect environmental harmful information outside the user according to the current user's location (S430). Here, the environmental harmful information outside the user may be measured by the sensor 120 or the user wearable device 130. Since the environment harmful information is meaningful only when it is about the surrounding environment where the user is currently located, the user-customized health information providing device may reset the measurement location in real time based on the location-based service of the user terminal.

Environmentally harmful information may also be measured by the sensor 120 or the user wearable device 130 and then transmitted to a user-customized health information providing device. To this end, the user-specific health information providing device may use a wired or wireless communication network with the sensor 120 or the wearable device 130.

The user-customized health information providing device analyzes user information input from the user terminal 140 and user physical condition information and environmental harmful information measured and obtained through the sensor 120 or the user wearable device 130 (S440). . In addition, as a result of the analysis, the disease name and the predictive index of the disease are determined to be likely to occur to the user (S450).

Information entered by the user through the user terminal 140, such as the user's medical history, family history, eating habits, and lifestyle, and the user's current blood pressure, pulse, respiratory volume, exercise amount, etc. Using the user's body condition signal and environmental harmful information as an environmental factor, the user-customized health information providing device can derive a disease that can be caused to the user. And it calculates how much the risk of the disease is, the numerical data, that is, predicts the outbreak and provides it to the user terminal 140. The user-customized health information providing device provides information on the user's basic constitution, medical history, characteristics, information on the user's current biological condition, and environmental factors affecting the onset of the disease, which may affect the development of a specific disease. Considering this, it is possible to calculate the incidence index by digitizing it. In particular, in this process, Equation 1 or Equation 2 described above may be used.

In addition, the user-customized health information providing device may derive and provide user-customized information recommended for the user, for example, for a disease having a particularly high incidence prediction index according to the calculation result of the incidence prediction index (S460). The user-specific information is one of information about the disease, information about the disease, foods, diets, medicines, treatment methods, treatment institutions, etc. that are beneficial or necessary for the prevention or treatment of the disease, along with warnings about disease development optimized for the user. It means information including the above.

Although described above with reference to preferred embodiments of the present invention, those skilled in the art variously modify and change the present invention without departing from the spirit and scope of the present invention as set forth in the claims below. You can understand that you can.

100: customized health information providing system
110: user-specific health information providing device
120: at least one sensor
130: wearable device
140: user terminal
210: processor
310: user information management unit 320: user status management unit
330: external environment information management unit 340: data processing unit
350: user service provider

Claims (8)

A user information management unit that receives user information including information about a user's health status from a user terminal;
A user state management unit measuring the user's body state to obtain user body state information;
An external environment information management unit that collects environmental harmful information outside the user according to the current user's location;
A data processor which analyzes the user information received from the user, the user's body condition information, and the environmental harmful information, and calculates a disease likely to occur to the user and a prediction index of the disease; And
A user service provider that derives and provides user-customized information recommended to the user according to the outbreak prediction index;
User-specific health information providing device comprising a. According to claim 1,
The user information is user-customized health, characterized in that it contains one or more of the membership registration information, questionnaire data, food intake, usual diet, medical history, family history, treatment history, surgical history, and allergies created by the user when registering as a member. Information provision device. According to claim 1,
The user's body condition information is measured through a sensor worn on the user, the user's exercise amount, heart rate, respiratory rate, sleep time, bio-customized personal information providing device, characterized in that it comprises biometric information. According to claim 1,
The external environmental information management unit receives the environmental harmful information
Acquired by receiving information stored in the server after being measured by the user or measured by a sensor adjacent to the user or measured or input,
The environmental harmful information, user-specific health information providing device comprising at least one of the air quality information, pollutant information, hazardous substance information, ultraviolet index, radiation levels, infectious disease information, temperature and humidity information of the user's location . According to claim 1,
The data processing unit
Lung cancer, stomach cancer, arthritis, liver cancer, diabetes, thyroiditis, hypertension, stroke, heart disease, kidney disease, or epidemic disease, and selecting the disease that is likely to develop to the user,
The user service provider
Characterized in that it provides the user-specific information including information on one or more of the selected disease, information, foods, drugs, diet, exercise, restaurants, treatment, behavioral guidelines, and shopping malls recommended for the selected disease. User-specific health information providing device. According to claim 1,
The data processing unit subdivides the incidence prediction index of the disease from a first step to a 10th step according to an increase in the likelihood of invention, and provides the user-customized information for the disease corresponding to a step above a predetermined criterion. User-specific health information providing device. According to claim 1,
The data processing unit multiplies or sums the user information, the user's physical condition information, and the environmental harmful information to calculate the incidence prediction index. Receiving user information including information on a user's health status from a user terminal;
Receiving user body condition information obtained by measuring the user's body condition;
Collecting environmental harmful information outside the user according to the current user's location;
Analyzing the user information received from the user, the user's body condition information, and the environmental harmful information, and calculating an incidence prediction index of diseases likely to occur to the user; And
A method of providing user-specific health information, comprising deriving and providing user-customized information recommended to the user according to the outbreak prediction index.

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