WO2017191858A1 - Dispositif et serveur pour mesurer des composants corporels, pour fournir des informations personnalisées - Google Patents

Dispositif et serveur pour mesurer des composants corporels, pour fournir des informations personnalisées Download PDF

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Publication number
WO2017191858A1
WO2017191858A1 PCT/KR2016/004756 KR2016004756W WO2017191858A1 WO 2017191858 A1 WO2017191858 A1 WO 2017191858A1 KR 2016004756 W KR2016004756 W KR 2016004756W WO 2017191858 A1 WO2017191858 A1 WO 2017191858A1
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WO
WIPO (PCT)
Prior art keywords
information
user
body composition
time point
association
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PCT/KR2016/004756
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English (en)
Korean (ko)
Inventor
이우재
Original Assignee
주식회사 셀바스헬스케어
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Publication of WO2017191858A1 publication Critical patent/WO2017191858A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4869—Determining body composition
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/053—Measuring electrical impedance or conductance of a portion of the body
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/053—Measuring electrical impedance or conductance of a portion of the body
    • A61B5/0537—Measuring body composition by impedance, e.g. tissue hydration or fat content
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records

Definitions

  • the present invention relates to a body composition measuring apparatus, and more particularly, to a body composition measuring apparatus and a server for providing personalized information based on a change in body composition and a record of a user.
  • the goal setting and the body composition prediction through the measurement of body composition have difficulty in improving accuracy beyond a certain level because different results are obtained depending on the physical characteristics of each individual even when the same meal and behavior are eaten.
  • KR20020067687 (2002-08-23) discloses a method and apparatus for measuring the distribution of body fat. Specifically, the thickness of the subcutaneous fat of the abdomen is measured, and a feature using the method of calculating the area of the subcutaneous fat is presented.
  • the existing techniques related to the body fat measuring device mostly describe the body fat measuring method or device, and as the body composition measurement for the user is repeated, it can provide personalized information that can reflect the physical characteristics of the individual. Attempts have not been made to the body composition measuring apparatus.
  • the present invention is devised in response to the above-described background, and is to provide personalized information based on a change in body composition and a record of a user.
  • the body composition measuring apparatus includes a measuring unit configured to include two or more electrodes for measuring an impedance by applying a current to at least a part of a user's body, and based on the impedance and the user information measured at the first time point in the measuring unit.
  • a biometric information generating unit and the user information and the first body component configured to generate first body composition information and to generate second body composition information based on the impedance measured at the second time point after the first time point and the user information;
  • Information and the second body composition information is transmitted to at least one of a user terminal and a server, and at least one of the user terminal and the server is provided with association information indicating an association between first user record information and first body component change amount information.
  • a transceiver configured to receive, wherein the first user record information Record information about one or more factors affecting the body composition of the user made between the first time point and the second time point, and the first body composition change amount information includes the first body component information and the It may include information on the change in body composition between the second body composition information.
  • the association information is updated based on the second user record information and the second body composition change information and the second user record information is the first time point and the third time point, wherein the third time point is after the second time point.
  • -Recording information about one or more factors affecting the body composition of the user made for the user wherein the second body composition change amount information comprises the second body component information and the third body component information;
  • the body composition information may include information about a change in body composition between the user information and the body composition measuring device generated based on the impedance measured at the third time point.
  • the association information includes customized association information for the user when the update level evaluated for the association information is above a predefined threshold, and when the update level is below the predefined threshold.
  • the standard association information is an average value of association information for one or more other users having user information whose similarity with the user information is greater than or equal to a predetermined threshold, or It may include document information based on the user information.
  • the apparatus may further include an input unit configured to receive the target body composition information and the target time point desired by the user, and an output unit configured to output the correlation information and the target user record information, wherein the transmission / reception unit is configured to read the target body component information. And further receive the target user record information from at least one of the user terminal and the server, wherein the target user record information is measured for the association information and the user. Based on the body composition information, the body composition information measured for the user may include user record information about one or more factors affecting the body composition of the user, such that the target body composition information reaches the target body composition information at the target time point.
  • the target user record information may be corrected based on the actual body composition information and the target user record information when the actual body composition information of the user measured at the target time point is different from the target body composition information.
  • the apparatus may further include an input unit configured to receive a prediction point from the user, and an output unit configured to output the correlation information and the prediction body component information, wherein the transceiver unit may add the prediction point to at least one of the user terminal and the server. And additionally receive the predicted body component information from one of the user terminal and the server, wherein the predicted body component information includes the one or more elements recorded in the first user record information after the second time point.
  • the body composition of the user at the prediction time may be displayed based at least in part on the first user record information and the second body composition information.
  • the predicted body component information may be corrected based on the actual body component information and the first user record information when the actual body component information of the user measured at the prediction time point is different from the predicted body component information.
  • a server is disclosed in accordance with one embodiment of the present invention.
  • the server may include user information and first body composition information from at least one of a body composition measuring apparatus and a user terminal, wherein the first body composition information is generated in the body composition measuring apparatus based on the impedance and the user information measured at the first time point.
  • Information wherein the second body composition information is generated by the body composition measuring apparatus based on the impedance measured at the second time point after the first time point and the user information, and the correlation information is received by the body composition measuring apparatus and the user terminal.
  • the association information configured to transmit to at least one of the at least one of the user information, the first body composition information, and the second body composition information received by the transceiver.
  • a first user including record information about one or more elements affecting the body composition of the user made for the user between the first time point and the second time point.
  • a user component information generating unit configured to generate record information
  • a body component change amount generating unit configured to generate first body component change amount information including information on body component change between the first body component information and the second body component information; Can be.
  • the user record information generating unit is adapted to at least one element affecting the body composition of the user made for the user between the first time point and a third time point, wherein the third time point is after the second time point. And additionally generate second user record information including record information for the second body composition change amount generating unit, wherein the second body composition information and the third body composition information, wherein the third body composition information comprises the user information and the third time point. And generate second body component change information including information on a change in body composition based on the impedance measured by the body composition measuring apparatus, wherein the correlation information generator is configured to generate the second user record information and the second user information. The correlation information is updated based on the body composition change information. It can be configured to.
  • the association information generation unit is configured to generate customized association information for the user when the update level evaluated for the association information is greater than or equal to a predefined threshold, wherein the update level is the predefined threshold. Less than or when the association information is first generated, standard association information is generated, and the standard association information is an average value of association information for one or more other users having user information whose similarity with the user information is greater than or equal to a predetermined threshold. Or, it may include document information based on the user information.
  • the transceiver may further receive target body composition information and a target time point desired by the user from at least one of the body composition measuring apparatus and the user terminal, and transmit target user record information to at least one of the body composition measuring apparatus and the user terminal.
  • the apparatus may further include a target user record information generation unit, wherein the target user record information generation unit may include the body component information measured for the user based on the association information and the body component information measured for the user. And generate the target user record information including user record information for one or more elements affecting the body composition of the user, such that the target body composition information is reached at a target time point.
  • the target user record information generation unit may be configured to generate the target user record information based on the actual body component information and the target user record information. It can be configured to correct.
  • the transceiver is configured to additionally receive the prediction time from at least one of the body composition measuring apparatus and the user terminal, and further transmit prediction body composition information to at least one of the body composition measuring apparatus and the user terminal, and predict And a body composition information generation unit, wherein the prediction body composition information generation unit is further configured when the user continues the one or more elements recorded in the first record information until the prediction time point, wherein the prediction time point is after the second time point. And generate the predicted body composition information indicating the body composition of the user at the prediction time point based at least in part on the first user record information and the second body composition information.
  • the predicted body composition information generation unit may determine the predicted body component information based on the actual body composition information and the first user record information when the actual body composition information of the user measured at the prediction time point is different from the predicted body composition information. Can be configured to calibrate.
  • the body composition measuring apparatus includes a measuring unit configured to include two or more electrodes for measuring an impedance by applying a current to at least a part of a user's body, and based on the impedance and the user information measured at the first time point in the measuring unit.
  • a biometric information generating unit and the user information and the first body component configured to generate first body composition information and to generate second body composition information based on the impedance measured at the second time point after the first time point and the user information;
  • An association information generator configured to generate the association information based on the second body component information and the second body component information, wherein the association information indicates an association between the first user record information and the first body component variation amount information;
  • First user record information is provided to the user between the first time point and the second time point.
  • recording information about one or more factors influencing the body composition of the user, wherein the first body component change amount information may include information about a body component change between the first body component information and the second body component information.
  • the present invention can provide personalized information based on changes in body composition and a record of the user.
  • FIG. 1 is a block diagram of a body composition measuring apparatus according to an embodiment of the present invention.
  • FIG. 2 illustrates a relationship diagram of information generated according to an embodiment of the present invention.
  • FIG. 3 is a flowchart illustrating a method of outputting correlation information based at least in part on impedance and user information measured by a body composition measuring apparatus according to an exemplary embodiment of the present invention.
  • FIG. 4 is a block diagram of a server according to an embodiment of the present invention.
  • FIG. 5 is a flowchart illustrating a method of generating and transmitting association information from user information and body composition information received by a server according to an embodiment of the present invention.
  • FIG 6 illustrates an example system in which various aspects in accordance with one embodiment of the present invention may be implemented.
  • FIG 7 illustrates an example system in which various aspects may be implemented in accordance with another embodiment of the present invention.
  • a component may be, but is not limited to being, a process running on a processor, a processor, an object, an thread of execution, a program, and / or a computer.
  • an application running on a computing device and the computing device can be a component.
  • One or more components can reside within a processor and / or thread of execution, and a component can be localized within one computer or distributed between two or more computers.
  • these components can execute from various computer readable media having various data structures stored thereon.
  • the components may for example be signals having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and / or data via a network such as the other system and the internet via signals and / or signals). May communicate via local and / or remote processes.
  • data packets e.g., data from one component interacting with another component in a local system, distributed system, and / or data via a network such as the other system and the internet via signals and / or signals. May communicate via local and / or remote processes.
  • the user terminal 400 used herein is a personal computer (PC), notebook (note book), mobile terminal (mobile terminal), smart phone (smart phone), tablet PC (tablet pc), smart watch (smart watch) watch) and the like, and may include all kinds of terminals capable of accessing a wired / wireless network.
  • PC personal computer
  • notebook note book
  • mobile terminal mobile terminal
  • smart phone smart phone
  • tablet PC tablet pc
  • smart watch smart watch
  • FIG. 1 is a block diagram of a body composition measuring apparatus 100 according to an embodiment of the present invention.
  • the body composition measuring apparatus 100 may include, but is not limited to, a body composition measuring apparatus using a four-electrode method, a wearable device, and a standing type body composition measuring apparatus.
  • the body composition measuring apparatus 100 includes a measuring unit 110 and the measuring unit configured to include two or more electrodes measuring impedance by applying a current to at least a part of a user's body.
  • the first body component information 310 is generated based on the impedance 301 measured at the first time point and the user information 303 at 110, and the impedance 302 measured at a second time point after the first time point.
  • a biometric information generation unit 130 and the user information 303, the first body component information 310, and the second body component configured to generate the second body component information 320 based on the user information 303.
  • the first user record information 340 includes record information about one or more factors affecting the body composition of the user made for the user between the first time point and the second time point
  • the first body component change amount information 330 may include information about a body component change between the first body component information 310 and the second body component information 320.
  • Measuring unit 110 of the present invention may include two or more electrodes for measuring the impedance by applying a current to at least a portion of the user's body.
  • the measurement unit 110 may provide the biometric information generation unit 130 with the impedance value measured by the electrode.
  • the electrode may be arranged to be in contact with at least a portion of the user's body.
  • the electrode may apply a current having a constant frequency to at least a portion of the user's body, and the electrode may measure impedance of at least a portion of the user's body.
  • the electrode may be a left voltage electrode disposed on the stand type body composition measuring apparatus 100 so as to be in contact with the user's left palm, a right voltage electrode disposed to be in contact with the left current electrode and the right palm, It may be composed of a right current electrode.
  • the electrode may apply a current having a frequency of 50 kHz to the left current electrode of the left palm, the current is returned to the right current electrode of the right palm through the left wrist, left arm, torso, right arm and right wrist. Can come.
  • the electrode may measure the impedance of both arms and the trunk of the user's body by measuring the voltage difference between the left voltage electrode of the left palm and the right voltage electrode of the right palm when 50 kHz current flows. Arrangement and operation of the electrode is only a description of a detailed example, the present invention is not limited thereto.
  • the electrode may contact the left voltage electrode, the left current electrode, and the two fingers of the right hand, which are arranged to be in contact with the left wrist on the wrist-type body composition measuring apparatus 100.
  • the right voltage electrode and the right current electrode may be configured.
  • the electrode is composed of four or more electrodes, it is possible to apply a voltage having a plurality of frequencies to the user. More specifically, the electrode may be composed of a plurality of current electrodes and voltage electrodes, it is possible to conduct a current having a plurality of frequencies. In addition, the impedance of at least a portion of the user's body corresponding to the various frequencies may be measured.
  • a current with a frequency of 5 kHz is applied to both arms and parts of the body using two electrodes located on the left wrist and two electrodes of the two fingers of the right hand, and an impedance of 700 ⁇ corresponding to both arms and parts of the body.
  • a current having a frequency of 50 kHz is simultaneously applied to both legs and the body using another electrode to measure the impedance 600 ⁇ corresponding to both legs and the body.
  • the detailed description of the method using the different frequencies is merely illustrative and does not limit the present invention.
  • the body composition measuring apparatus 100 generates the first body component information 310 based on the impedance 301 and the user information 303 measured at the first point in time by the measuring unit 110, and after the first point in time.
  • the biometric information generating unit 130 may be configured to generate the second body composition information 320 based on the impedance 302 and the user information 303 measured at the second time point of FIG. 2 (see FIG. 2).
  • the biometric information generation unit 130 may generate the first body composition information 310 based on the impedance. More specifically, the biometric information generation unit 130 may include first body component information corresponding to at least a portion of the user's body measured by analyzing the impedance 301 and the user information 303 measured at the first time point. 310 may be generated. In addition, the biometric information generation unit 130 analyzes the impedance 302 and the user information 303 measured at the second time point, and the second body composition information 320 corresponding to at least a portion of the user's body measured. Can be generated.
  • the first and second body composition information 310 and 320 may include at least one of body composition information and the impedance measurement value.
  • the body composition information may include at least one of body weight, body water quantity, intracellular water content, extracellular water content, body mass index, body fat amount, muscle mass, and skeletal muscle mass.
  • the impedance measurement value may be an impedance measurement value corresponding to at least a portion of the user's body measured through the electrode.
  • Body composition information as described above is merely an exemplary description according to an embodiment of the present invention, various information that is not described may be included in the body composition information.
  • the body composition information may further include at least one of the protein amount and the inorganic mass.
  • the user information 303 may include user identification information and user device information that uniquely identifies a user.
  • the user identification information may include, for example, ID information, user device information including phone number information, date of birth information, biometric information including bioimpedance information and electrocardiogram information, authentication number information for identity authentication, and It may include at least one of the predetermined device information.
  • the user identification information according to an embodiment of the present invention may include an ID, nickname, etc. used in an application corresponding to a program according to an embodiment of the present invention.
  • the biometric information may include at least one of a signature, a face, an iris, a retina, a fingerprint, a voice, a hand, and a hand vessel.
  • Biometrics may be defined as automatically identifying physical characteristics or behavioral characteristics to identify an identity.
  • Human perception can be defined as biometrics based on observation of behavioral and biological (anatomical, physiological) features.
  • the fingerprint information related to the user may be predetermined identification information.
  • the electrocardiogram information related to the user may be predetermined identification information. More specifically, the electrocardiogram information obtained from the user and one or more electrocardiogram information previously stored in the memory module may be compared. One or more users corresponding to the one or more prestored ECG information whose difference according to the comparison is less than a predetermined threshold may be determined.
  • the aforementioned user device information may include phone number information, an International Mobile Equipment Identity (IMEI) assigned to the user device, a model name of the user device, and the like, and the scope of the present invention is not limited thereto.
  • IMEI International Mobile Equipment Identity
  • the user information 303 may include at least one of the age, weight, height, gender and user identification information of the user. More specifically, the biometric information generation unit 130 may at least partially reflect the user information 303 when generating the first and second body composition information 310 and 320.
  • the body composition measuring apparatus 100 measures the impedance measured through an electrode
  • the body fat amount corresponding to 700 ⁇ is 25% instead of 20%, reflecting the age of 50 years and the gender of the male in the user information.
  • Body composition information reflecting the user information 303 may be generated.
  • the user information may further include at least one of race, body circumference (part of abdomen, waist, hip, etc.), and body shape.
  • the transceiver 150 transmits the user information 303, the first body component information 310, and the second body component information 320 to at least one of the user terminal 400 and the server 200.
  • at least one of the user terminal 400 and the server 200 may receive the association information 350 indicating the association between the first user record information 340 and the first body composition change amount information 330. It may be.
  • the transmission and reception unit 150 is the first and second body composition information and the user information 303 through direct communication with the user terminal 400 and the server or network 500 (see FIG. 6). Can send and receive In addition, the first body composition change amount information 330 based on the first and second body composition information and the association information 350 based at least in part on the first user record information 340 which is record information made for the user may be received. have.
  • the first user record information 340 may include record information about one or more factors affecting the body composition of the user made for the user between a first time point and a second time point. Can be.
  • the first user record information 340 is stored in the body composition measuring apparatus 100, the user terminal 400, and the server 200, and the user information is stored between the first time point and the second time point. It may include information on the eating and the activity information that is made and affects the body composition of the user. In addition, the user record information may be accumulated and generated from the first time point to the third time point after the second time point.
  • the server 200 determines a first time point when the user measures the body composition. From the user through the input through the user terminal 400 may store and record information about the type and amount of food eaten by the user for a week. In addition, the server 200 may record the activity amount of the user that is automatically measured through the sensor of the wearable activity measurement device worn by the user. Accordingly, the server 200 may store recording information according to life for one week from the first time point and the second time point one week after the first time point of the user through the recorded eating information and activity information. .
  • the detailed description of the user record information is only an example, and the present invention is not limited thereto.
  • the first user record information 340 may be information related to the type and number of workouts stored on the wearable activity measuring device.
  • the first user record information 340 is recorded by handwriting, stored in the user terminal 400, or transmitted to the server 200, and stored in the eating habits, exercise habits, the type of exercise performed and the number of times or exercise performance time.
  • Information related to work type and working hours, medical history, sleep time, biometric values such as blood sugar or blood pressure, urine test results, blood test results, body circumference values and changes (specific areas such as the abdomen, waist and hips) and stress It may be.
  • the first body component change amount information 330 may include information on a change in body composition between the first body component information 310 and the second body component information 320.
  • the first body composition variation amount information 330 is the first body component information 310 generated by the biometric information generation unit 130 based on the impedance and the user information 303 measured for the user at the first time point.
  • the body component change amount of the second body composition information 320 generated by the biometric information generation unit 130 based on the impedance measured for the user at the second time point after the first time point and the user information 303. May contain information.
  • the amount of change in body composition may include at least one of body weight, body water content, intracellular water content, extracellular water content, body mass index, muscle mass and skeletal muscle mass included in the body composition information.
  • the whole body fat percentage of the first body composition information 310 generated by the biometric information generation unit 130 is 25%, and the biometric information generation unit 130 is one year from the first time point.
  • the first body composition change amount information 330 includes information about a -10% body fat percentage, which is a difference between the two body fat percentages. can do.
  • the association information 350 may include information indicating an association between the first user record information 340 and the first body composition change amount information 330.
  • the association information 350 is generated in at least one of the user terminal 400 and the server 200, and the first user record information 340 made for a user between a first time point and a second time point. And information indicating an association between the first body component information 310 of the first time point and the first body component change amount information 330 based on the second body component information 320 of the second time point.
  • the association information 350 may reflect a complex action on one or more elements included in the first user record information 340.
  • the server calculates the correlation between the push-ups and the increase in the muscle mass, so that 3 corresponds to the fast running the correlation index between the exercise with the maximum of 10 and the increase in the muscle mass. The higher value of 8 can be estimated.
  • the muscle mass increase is improved to 15%.
  • the server can calculate the correlation between protein foods and muscle mass gains, and estimate 9, up from 8 already.
  • the degree of association between the one or more elements included in the first user record information 340 and the first body component change amount information 330 may be output to the user.
  • Detailed descriptions and numerical limitations of the above-described association information 350 are exemplary only, and the present invention is not limited thereto.
  • the association information 350 may determine and provide only the height of the association through a comparison with a predetermined threshold.
  • the association information 350 may be updated based on the second user record information and the second body component change amount information. More specifically, the first time point and the third time point, wherein the third time point includes the record information for one or more factors affecting the user's body composition made to the user between the second time point and the second time point. Second user record information, the second body composition information 320, and the third body composition information, wherein the third body composition information is determined by the body composition measuring apparatus 100 based on the user information and the impedance measured at the third time point.
  • the association information 350 may be updated based on the second body component change amount information including information about the generated body composition change.
  • the body 200 rate is 200 kcal.
  • Correlation information 350 corresponding to 'high' with the decrease may be calculated.
  • the server 200 includes second user record information including an average daily activity amount of 200 kcal from the first time point and a third time point one month later, and a second body composition change amount including a low body fat percentage change in the first body composition change amount.
  • the relevance information 350 determines that the relevance information corresponding to 'high' with the decrease of the body fat percentage is no longer accurate due to the decrease of the body fat percentage of the user, and the body fat percentage is equal to the average daily activity of 200 kcal of the user.
  • the new association information 350 corresponding to the middle of the decrease may be updated.
  • the above-mentioned update and numerical limitation of the relevance information 350 of the server 200 are merely described in detail, and the present invention is not limited thereto.
  • the update of the association information 350 may be performed by a processor on the user terminal 400.
  • a processor on the user terminal 400 For example, an analysis of a professional including a doctor, a nutritionist, a fitness trainer, and the like, or a consultation is recorded through the user terminal 400 and reflected in the user record and body composition variation information to update the correlation information 350. You may.
  • the update method is only a detailed example, and the present invention is not limited thereto.
  • Association information 350 includes customized association information 351 for the user when the update level evaluated for the association information 350 is greater than or equal to a predefined threshold value, and When the update level is less than the predefined threshold value, or when the association information is initially generated, the standard association information 352 is included, and the standard association information 352 has a similarity degree to that of the user information 303. It may be an average value of association information 350 for one or more other users having user information 303 that is greater than or equal to a predetermined threshold value, or may include document information based on the user information 303.
  • the update level for the user of the association information may be evaluated by at least one of the user terminal 400 and the server.
  • the update level is a personalization level for the user as measured by the user over a period of time and over a certain number of times.
  • the relevance information may include customized relevance information 351 for the user.
  • An average value of 350 may be included, or may include standard type association information 352 including document information based on the user information 303.
  • the evaluation may be performed by comparing the generation frequency of body composition information for the user with the threshold value 2.
  • the relevance information 350 may include personalized relevance information 351 to provide personally updated relevance information 350 for the user.
  • the evaluation of the update level may be performed by comparing the number of generations of association information with threshold 1.
  • the association information 350 may include standard-type association information stored in the database of the server 200 based on the '20s' and 'men' corresponding to the user information 303. Can be. Limitation of the above-mentioned evaluation method and numerical values is only an example, and this invention is not limited to this.
  • the determination of the update evaluation level may be determined based in part on at least one of body composition information, association information 350, first user record information 340, and first body composition change amount information 330.
  • the number of generation of body composition information, the number of generation of the association information 350, the amount of data of the first user record information 340, the period between the first and second time points of the first user record information, and the first It may be based on at least one of cumulative data of the body component change information.
  • the criterion of the update evaluation is only an example, the present invention is not limited thereto.
  • the transceiver 150 additionally transmits target body composition information to at least one of the user terminal 400 and the server 200, and the user terminal 400 and the server 200. And may further receive target user record information 370 from one of them.
  • the transceiver 150 receives the target body composition information and the target time point desired by the user from the input unit 190 and additionally transmits to at least one of the user terminal 400 and the server 200, and the user terminal ( 400 and additionally receive target user record information 370 from the server 200 and provide it to the output unit 170.
  • Target user record information 370 is based on the association information 350 and the body composition information measured for the user, the body composition information measured for the user is the target body component information at the target time point User record information for one or more factors affecting the user's body composition.
  • the target user record information 370 is generated in the user terminal 400 and the server 200 based on the association information 350 and the body composition information measured for the user, and is measured at a recent time.
  • the recorded body composition information may include feeding information and activity information for affecting the body composition of the user, such that the targeted body composition information reaches the target body composition information at the target time.
  • the latest time body composition information generated by the biometric information generation unit 130 for the user includes information about a weight of 80 kg, and the target body composition information provided from the input unit 190 is 70 kg and the target time point is
  • the transceiver 150 may receive the target user record information 370 from which the weight of the user may reach 70 kg after three months, which is the target time point, from the server 200.
  • the target user record information 370 may include a recommendation about an exercise item, an intensity, and the number of times having the greatest correlation with the weight loss of the user based on the association information 350 and the latest body composition information. It may also include dietary management information based on foods that have had a significant impact on weight loss.
  • the above description of the target user record information 370 is merely an example, and the present invention is not limited thereto.
  • the target user record information 370 when the actual body composition information of the user measured at the target time is different from the target body composition information, the actual body composition information and the target user record information It may be corrected based on 370.
  • the target user record information 370 capable of reaching 70 kg of target body composition information from 80 kg of body composition information for three months from the latest time point to the target time point, the user does not reach 70 kg of the target body composition information. If not, the target user record information 370 may be corrected based at least in part on the actual body composition information and the target user record information 370 measured at the target time point. Accordingly, the target user record information 370 may be provided more accurately for the user at the next goal setting. Correction of the target user record information 370 is merely an example, and the present invention is not limited thereto.
  • the transceiver 150 further transmits the prediction time point to at least one of the user terminal 400 and the server 200, and the user terminal 400 and the server. It may be configured to additionally receive the predicted body composition information 390 from one of the 200.
  • the transceiver 150 additionally transmits the prediction time received from the input unit 190 to at least one of the user terminal 400 and the server 200, and the user terminal 400 and the server 200. ) May further receive and provide the predicted body component information 390 to the output unit 170.
  • Predictive body composition information 390 may be performed when the user persists one or more elements recorded in the first user record information 340 to a predicted time point after a second time point.
  • the body composition of the user at the prediction time may be displayed based at least in part on the display unit 340 and the second body composition information 320.
  • the predicted body composition information 390 is generated in the user terminal 400 and the server 200, and based at least in part on the first user record information 340 and the second body component information 320, When the user continues one or more elements recorded in the first user record information 340 from the second time point to the prediction time point, the second body composition information 320 includes a predicted value of the body composition that can be reached. can do.
  • the user terminal and the server 200 may provide an alarm for the user and an alarm of cheering.
  • the predicted body component information 390 may include information that the obesity value of the second body component information 320 at the second time point will reach obesity altitude obesity at the predicted time point.
  • the output unit 170 may provide a warning in the form of voice and text to the user to alert the user.
  • the type description and display method for the predicted body composition information 390 described above are exemplary only, and the present invention is not limited thereto.
  • the actual body composition information and the first user record information measured at the prediction time point It may be corrected based on 340.
  • the predicted body composition information 390 may be used as the prediction. It may be corrected based at least in part on the actual body composition information and the first user record information 340 measured at the time point. Accordingly, more accurate prediction body composition information 390 may be provided to the user at the next prediction. Correction of the predicted body composition information 390 is merely an example, and the present invention is not limited thereto.
  • Predictive body composition information may be corrected.
  • Body composition measuring apparatus 100 may further include an input unit 190.
  • the input unit 190 may include a physical button such as a keyboard, and may include a touch screen used in a smartphone.
  • the touch screen includes a touch sensor, and the touch sensor may be configured to convert a change in pressure applied to a specific portion of the touch screen or capacitance occurring at a specific portion of the touch screen into an electrical input signal.
  • Touch input means all command signals input by the user to the touch screen. That is, the touch input includes all signals input by the touch operation of the user's hand or the touch operation by the touch pen. In addition, touch input may be performed by a simple touch operation and a writing operation. In addition, the touch pen may collectively refer to the electronic pen and the digital pen. In addition, a command signal by various operations may be included in the touch input within the scope of the present invention.
  • the input unit 190 may input not only text but also various media such as an image and a video.
  • the input unit 190 may be configured to receive target body composition information and a target time point desired by the user from the user. More specifically, the input unit 190 inputs the target body composition information including at least one of body composition information that can be measured by the body composition measuring apparatus 100 according to the user's preference and the target time point desired by the user. Can be configured to receive. Additionally, the input unit 190 according to another embodiment of the present invention may receive a prediction time point from a user.
  • Body composition measuring apparatus 100 may further include an output unit 170. More specifically, the output unit 170 may include a display unit, a printer unit, and a speaker. In addition, the display unit may correspond to the touch screen.
  • the output unit 170 may output at least one of body composition information generated by the biometric information generator 130 and association information 350 received by the transceiver 150.
  • the output unit 170 according to an embodiment of the present invention may be configured to output the association information 350 and the target user record information 370.
  • the output unit 170 according to another embodiment of the present invention may be configured to output the association information 350 and the predicted body composition information 390.
  • the body composition measuring apparatus 100 may include a memory unit (not shown).
  • the memory unit may store, for example, a program for operating the modules (eg, a user memory module) according to an embodiment of the present invention, and input / output data (eg, user authentication). Information, etc.) may be temporarily stored.
  • the memory unit (not shown) may store various data provided from the body composition measuring apparatus 100 and / or an external server.
  • the memory unit (not shown) may provide requested data according to requests of other components.
  • the memory unit (not shown) may store various pieces of information for mapping identification information. The above-described information is only an example, and the memory unit (not shown) may store various data for generating management information (eg, group management information, etc.) according to an embodiment of the present invention.
  • Such a memory unit may be a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (for example, SD or XD memory, etc.).
  • RAM Random Access Memory
  • SRAM Static Random Access Memory
  • ROM Read-Only Memory
  • EEPROM Electrically Erasable Programmable Read-Only Memory
  • PROM Programmable Read-Only Memory
  • Magnetic At least one type of storage medium may include a memory, a magnetic disk, and an optical disk.
  • the memory unit may operate in association with a web storage that performs a storage function on the Internet.
  • the body composition measuring apparatus 100 may include a voice processing unit and a network unit in addition to the above-described components, and may be arranged to interact with each other.
  • the above-described components are not essential, so the body composition measuring apparatus 100 having more or fewer components may be implemented.
  • the body composition measuring apparatus 100 may provide the correlation information of the change of the body composition according to the user's behavior through the change of the body composition information for the user and the recording of the factors that may cause the change of the body composition of the user. .
  • the body composition measuring apparatus 100 may provide customized information with high accuracy to the user through machine learning, and may additionally provide information for managing the body composition of the user through goal achievement and prediction information. .
  • FIG. 2 illustrates a relationship diagram of information generated according to an embodiment of the present invention.
  • the first body composition information 310 is biometric information based on the impedance 301 and the user information 303 measured at the first point in time by the measuring unit 110 of the body composition measuring apparatus 100.
  • the generation unit 130 may generate.
  • the biometric information generation unit 130 based on the impedance 302 and the user information 303 measured by the measurement unit 110 at a second time after the first time point, the second body composition information 320 ) Can be created.
  • the first body component change amount information 330 may include information on a change in body composition between the first body component information 310 and the second body component information 320.
  • the first body composition variation amount information 330 is the first body component information 310 generated by the biometric information generation unit 130 based on the impedance and the user information 303 measured for the user at the first time point.
  • a body component change amount based on the second body component information 320 generated by the biometric information generator 130 based on the impedance measured for the user at the second time after the first time point and the user information 303. May contain information.
  • the change in body composition may include at least one of body weight, body water content, intracellular water content, extracellular water content, body mass index, muscle mass, and skeletal muscle mass included in the body composition information.
  • the first user record information 340 may include record information about one or more factors affecting the body composition of the user made for the user between a first time point and a second time point.
  • the first user record information 340 is stored in the body composition measuring apparatus 100, the user terminal 400, and the server 200, and the user information is stored between the first time point and the second time point. It may include information on the eating and the activity information that is made and affects the body composition of the user.
  • the user record information may be accumulated and generated from the first time point to the third time point after the second time point.
  • the first user record information 340 may be information related to the type and number of workouts stored in the wearable activity measuring device, and may be recorded by hand or stored in the user terminal 400 or stored in the server 200. Eating habits, exercise habits, exercise type and frequency or exercise time, work type and working hours, medical history, sleep time, blood glucose or blood pressure, urine test result, blood test result, body It may be information related to the circumference value and the amount of change thereof (specific areas such as the abdomen, the waist, the hips), and the stress.
  • the association information 350 may include information indicating an association between the first user record information 340 and the first body composition change amount information 330.
  • the association information 350 is generated in at least one of the user terminal 400 and the server 200, and the first user record information 340 made for a user between a first time point and a second time point. And information indicating an association between the first body composition information 310 of the first time point and the first body composition change amount information 330 based on the second body composition information 320 of the second time point. .
  • the association information 350 may reflect a complex action on one or more elements included in the first user record information 340.
  • the association information 350 may be updated based on the second user record information and the second body component change amount information. More specifically, the first time point and the third time point, wherein the third time point includes the record information for one or more factors affecting the user's body composition made to the user between the second time point and the second time point. Second user record information, the second body composition information 320, and the third body composition information, wherein the third body composition information is determined by the body composition measuring apparatus 100 based on the user information and the impedance measured at the third time point.
  • the association information 350 may be updated based on the second body component change amount information including information about the generated body composition change.
  • the update of the association information 350 may be performed by a processor on the user terminal 400.
  • a processor on the user terminal 400 For example, an analysis of a professional including a doctor, a nutritionist, a fitness trainer, and the like, or a consultation is recorded through the user terminal 400 and reflected in the user record and body composition variation information to update the correlation information 350. You may.
  • the update method is only a detailed example, and the present invention is not limited thereto.
  • Association information 350 includes customized association information 351 for the user when the update level evaluated for the association information 350 is greater than or equal to a predefined threshold value, and When the update level is less than the predefined threshold value, or when the association information is initially generated, the standard association information 352 is included, and the standard association information 352 has a similarity degree to that of the user information 303. It may be an average value of association information 350 for one or more other users having user information 303 that is greater than or equal to a predetermined threshold value, or may include document information based on the user information 303.
  • the update level of the user of the association information 350 may be evaluated by at least one of the user terminal 400 and the server 200.
  • the update level is a personalization level for the user as measured by the user over a period of time and over a certain number of times.
  • the determination of the update evaluation level may be determined based in part on at least one of body composition information, association information 350, first user record information 340, and first body composition change amount information 330.
  • the number of generation of body composition information For example, the number of generation of body composition information, the number of generation of association information 350, the amount of data of the first user record information 340, the length of the period from the first time point to the second time point, and the first body composition change amount information ( It may include the data amount of the 330 and the number of updates of the first body component change amount information 330.
  • the criteria for determining the update level described above are only detailed examples, and the present invention is not limited thereto.
  • the relevance information 350 may include customized relevance information 351 for the user. And the relevance to one or more other users having user information 303 whose similarity is equal to or greater than a predetermined threshold when the update level is less than the predefined threshold, or when the association information is first generated.
  • An average value of the information 350 may be included, or may include standard type association information 352 including document information based on the user information 303.
  • Target user record information 370 is based on the association information 350 and the body composition information measured for the user, so that the body composition information of the user reaches the target body composition information at the target time It may include information about one or more factors affecting the body composition of the user.
  • the target user record information 370 is generated in the user terminal 400 and the server 200 based on the relevance information 350 and the body composition information of the user, and measured at the latest time.
  • the information may include feeding information and activity information that affect the body composition of the user, such that the information reaches the target body composition information at the target time.
  • the target user record information 370 when the actual body composition information of the user measured at the target time is different from the target body composition information, the actual body composition information and the target user record information It may be corrected based on 370. Accordingly, the target user record information 370 may be provided more accurately for the user at the next goal setting.
  • the predicted body composition information 390 allows the user to display one or more elements (eg, 5 km running, low salt eating, etc.) recorded in the first user record information 340.
  • the body composition of the user at the predicted time point may be predicted based at least in part on the first user record information 340 and the second body composition information 320.
  • the predicted body composition information 390 is generated in the user terminal 400 and the server 200, and based at least in part on the first user record information 340 and the second body component information 320, When the user continues one or more elements recorded in the first user record information 340 from the second time point to the prediction time point, the second body composition information 320 includes a predicted value of the body composition that can be reached. can do.
  • the user terminal 400 and the server 200 may provide an alarm for the user and an alarm of cheering. have.
  • the predicted body composition information 390 may be performed when the actual body composition information of the user measured at the prediction time is different from the predicted body composition information 390. It may be corrected based on the user record information 340. Accordingly, more accurate prediction body composition information 390 may be provided to the user at the next prediction.
  • FIG. 3 is a flowchart illustrating a method of outputting correlation information 350 based at least in part on impedance and user information 303 measured by the body composition measuring apparatus 100 according to an exemplary embodiment.
  • the biometric information generation unit 130 may generate the first body component information 310 based on the impedance measured at the first time point by the measurement unit 110 and the user information 303 (701).
  • At least a portion of the user's body at the first time point in the measurement unit 110 is configured to include two or more electrodes for measuring the impedance by applying a current to at least a portion of the user's body according to an embodiment of the present invention It is possible to obtain the impedance for.
  • the user input may be received through the input unit 190 or the user information 303 may be received through the transceiver 150 from at least one of the user terminal 400 and the server 200. Therefore, the biometric information generation unit 130 of the body composition measuring apparatus 100 may generate the first body component information 310 based on the impedance 301 and the user information 303 measured at the first time point. have.
  • the biometric information generation unit 130 may generate the second body composition information 320 based on the impedance measured at the second time point in the measurement unit 110 and the user information 303 (702).
  • the impedance corresponding to at least a part of the user's body may be acquired by the measurement unit 110 at a second time after the first time.
  • the user information 303 may be received from at least one of the user, the user terminal 400, and the server 200. Therefore, the biometric information generation unit 130 of the body composition measuring apparatus 100 generates the second body composition information 320 based on the impedance 302 and the user information 303 measured at the second time point. can do.
  • the transceiver 150 may transmit the user information 303, the first body component information 310, and the second body component information 320 to at least one of the user terminal 400 and the server 200 (703).
  • the transmission and reception unit 150 transmits the first and second body composition information generated by the user information 303 and the biometric information generation unit 130 to the user terminal 400 and the server 200. You can send to at least one of.
  • the transceiver 150 may additionally transmit target body composition information and / or a predicted time point to the user terminal 400 and the server 200.
  • At least one of the user terminal 400 and the server 200 receives the association information 350 indicating the association between the first and second user record information 340 and the first body composition change amount information 330. It is possible (704)
  • the transmission and reception unit 150 transmits to the first and second body component information through direct communication with the user terminal 400 and the server 200 or through a network 500 (see FIG. 6). Based on the first body component change amount information 330 based on the first user record information 340 which is the record information made about the user, the association information 350 may be received.
  • the transmission and reception unit 150 additionally adds target user record information 370 and / or prediction body composition information 390 to at least one of the user terminal 400 and the server 200. It can also be received from.
  • the output unit 170 may output the correlation information 350 received from the transceiver 150 (705).
  • the output unit 170 may output at least one of the body composition information generated by the biometric information generator 130 and the correlation information 350 received by the transceiver 150.
  • the output unit 170 may include a display unit, a printer unit, and a speaker.
  • the display unit may correspond to the touch screen.
  • the output unit 170 may be further configured to output the target user record information 370 and the predicted body composition information 390.
  • FIG. 4 is a block diagram of a server 200 according to an embodiment of the present invention.
  • the server 200 may include the user information 303, the first body composition information 310, and the second body composition information 320 from at least one of the body composition measuring apparatus 100 and the user terminal 400. And the association information 350 transmitted to at least one of the body composition measuring apparatus 100 and the user terminal 400 and the user information received from the transceiver 210 ( 303) and an association information generator 230 configured to generate the association information 350 based on the first body component information 310 and the second body component information 320. 230 is configured to generate first user record information 340 including record information for one or more elements affecting the body composition of the user made for the user between the first time point and the second time point.
  • the body composition change amount configured to generate the first body composition change amount information 330 including information on the body composition change between the user record information generation unit 231 and the first body component information 310 and the second body component information 320. It may include a generation unit 233.
  • the first body composition information 310 is generated by the body composition measuring apparatus 100 based on the impedance 301 and the user information 303 measured at the first time point
  • the second body composition information 320 is generated by the first body composition information 320.
  • the body composition measuring apparatus 100 is generated based on the impedance 302 and the user information 303 measured at a second time point after the time point.
  • the correlation information 350 may indicate an association between the first user record information 340 and the first body composition change amount information 330.
  • the server 200 may include the user information 303, the first body composition information 310, and the second body composition information 320 from at least one of the body composition measuring apparatus 100 and the user terminal 400. ) And a transmission / reception unit 210 configured to transmit the association information 350 to at least one of the body composition measuring apparatus 100 and the user terminal 400.
  • the transceiver 210 additionally receives a target body composition information and a target time point desired by a user from at least one of the body composition measuring apparatus 100 and the user terminal 400, and records a target user.
  • the information 370 may be configured to additionally be transmitted to at least one of the body composition measuring apparatus 100 and the user terminal 400.
  • the transceiver 210 additionally receives the prediction time from at least one of the body composition measuring apparatus 100 and the user terminal 400, and receives the predicted body composition information 390. It may be configured to additionally transmit to at least one of the body composition measuring apparatus 100 and the user terminal 400.
  • the server is based on the user information 303, the first body composition information 310 and the second body composition information 320 received by the transceiver 210, the first user
  • the association information generator 230 may be configured to generate the association information 350 indicating the association between the record information 340 and the first body component change amount information 330.
  • the association information generation unit 230 is generated in at least one of the user terminal 400 and the server 200, the first user record information 340 made for the user between the first time point and the second time point ) And the association information 350 indicating an association between the first body component information 310 at the first time point and the first body component change amount information 330 based on the second body component information 320 at the second time point. ) Can be created. In addition, a complex action of one or more elements included in the first user record information 340 may be reflected in the association information 350.
  • the user pushes up to 50 push-ups every day from the first time point to the second time point three months later, and the first body composition change amount information 330 between the first time point and the second time point shows 10% muscle mass.
  • the association information generation unit 230 calculates the degree of association between the push-up and the increase in muscle mass with respect to the user, the muscle mass increase associativity of 1 to the minimum, 10 to the maximum This can be calculated as 8, which is higher than 3, which corresponds to fast running.
  • the muscle mass increase is improved to 15%.
  • the server 200 may calculate 9, which is higher than the existing 8, by calculating a correlation between protein food and muscle mass increase. Therefore, the degree of association between the one or more elements included in the first user record information 340 and the first body component change amount information 330 may be output to the user.
  • the detailed operation and numerical limitation of the above-described association information generation unit 230 are exemplary only, and the present invention is not limited thereto.
  • the correlation information generation unit 230 may determine and provide only the height of the association through comparison with a predetermined threshold.
  • association information generator 230 may update the association information 350 based on the second user record information and the second body component change amount information.
  • the association information generation unit 230 is one or more affecting the body composition of the user made for the user between the first time point and the third time point, wherein the third time point is after the second time point.
  • the second user record information including the record information for the element, the second body composition information 320 and the third body composition information, wherein the third body composition information is based on the user information and the impedance measured at the third time point.
  • the correlation information 350 may be updated based on the second body component change amount information including information about a change in the body composition of the liver, which is generated by the body composition measuring apparatus 100.
  • the association information generation unit 230 based on the first user record information 340 and the first body composition change amount information 330 between the first time point and the second time point one week later, the average daily life of the user.
  • the correlation information generator 230 may generate a second time between the first time point and the third time point one month later. Based on the user record information and the second body composition change information, it is determined that the correlation information 350 does not accurately reflect the first user record information 340 regarding the amount of food to be fed, and the user's average daily activity amount of 200 kcal and body fat percentage
  • the association with the decrease may be updated with the association information 350 having 'middle'.
  • the above-described updating method and numerical limitation of the association information generation unit 230 are only illustrative examples, and the present invention is not limited thereto.
  • the association information generation unit 230 may include an association including customized association information 351 for the user when the update level evaluated for the association information 350 is greater than or equal to a predefined threshold.
  • Information 350 and when the update level is below the predefined threshold, or when the association information is first generated, the association information 350 including standard association information 352 is generated.
  • the standard type association information 352 is an average value of the association information 350 for one or more other users having the user information 303 whose similarity with the user information 303 is greater than or equal to a predetermined threshold, or the user.
  • Literature information based on the information 303 may be included.
  • the association information generation unit 230 may include an association information evaluation unit (not shown) for evaluating the update level of the user of the association information 350.
  • the association information evaluation unit may be determined based in part on at least one of body composition information, association information 350, first user record information 340, and first body component change amount information 330.
  • the update level is a personalization level for the user as measured by the user over a period of time and over a certain number of times.
  • the association information evaluation unit may be configured to generate the number of body composition information, the number of generation of the association information 350, the amount of data of the first user record information 340, the length of the period from the first time point to the second time point,
  • the update level of the correlation information 350 may be determined based on the data amount of the first body component change amount information 330 and the number of updates of the first body component change amount information 330.
  • the above criterion for determining the association information evaluation unit is only a detailed example, and the present invention is not limited thereto.
  • the association information evaluation unit may evaluate the update level by comparing the number of times that the association information generator 230 generates the association information 350 with a threshold value 1. When the number of generations of the association information generation unit is zero, the association information evaluation unit may determine that it has not yet provided personalized association information for the user. Based on the determination, the association information generation unit 230 may generate association information including standard-type association information stored in a database based on the 'twenties' and 'men' corresponding to the user information 303. .
  • the above-described limitation of the evaluation method and the numerical value of the association information evaluation unit is merely an example, and the present invention is not limited thereto.
  • the association information generation unit 230 includes customized association information 351 for the user.
  • Association information 350 may be generated. And, if the update level of the association information 350 is less than the predefined threshold value based on the determination result of the association information evaluation unit, or if the association information is first generated, the association information is The average value of the association information 350 for one or more other users having the user information 303 whose similarity with the provided user information 303 is equal to or greater than a predetermined threshold value, or the document information based on the user information 303 It may include standard association information 352 that includes.
  • the association information generation unit 230 may include a first user including record information about one or more factors affecting the body composition of the user made between the first time point and the second time point. And a user record information generating unit 231 configured to generate record information 340.
  • the user record information generating unit 231 includes a record information on feeding amount and activity amount affecting the body composition of the user made for the user between the first time point and the second time point. 1 may be configured to generate user record information 340.
  • the user record information generating unit 231 can store and manage data on user records made for the user between respective time points. Accordingly, the user record information generating unit 231 may include the first user record information 340 between the first time point and the second time point and the third time point from the first time point, wherein the third time point is the second time point. The second user record information thereafter may be accumulated and stored and managed.
  • the user record information generation unit 231 obtains user record information from the user terminal from the first time point at which the user measures the body composition, and the user works. Information about the type and amount of food eaten during the week can be stored and recorded.
  • the user record information generation unit 231 may receive and store the activity amount of the user that is automatically measured through the sensor of the wearable activity measurement device. Therefore, the user record information generating unit 231 is the first user according to life for one week from the first time point and the second time point one week after the first time point of the user through the stored eating information and activity amount information.
  • the record information 340 and the second user record information from the first time point to the third time point two weeks after the migration date may be accumulated and stored.
  • the detailed description of the operation of the user record information generating unit 231 is merely an example, and the present invention is not limited thereto.
  • the correlation information generation unit 230 may include a body composition change amount generating unit 233 is configured to generate.
  • the body composition change amount generating unit 233 is based on the first body component information 310 generated by the biometric information generation unit 130 based on the impedance and the user information 303 measured for the user at the first time point; Body composition change amount information on the second body composition information 320 generated by the biometric information generation unit 130 based on the impedance measured for the user at the second time after the first time point and the user information 303.
  • the first body component change amount information 330 including may be generated.
  • the body composition change amount information may include at least one of body weight, body water quantity, intracellular water content, extracellular water content, body mass index, muscle mass, and skeletal muscle mass included in the body composition information.
  • the systemic body fat percentage of the first body composition information 310 measured at the first time point is 25%
  • the systemic body fat percentage of the second body composition information 320 measured at the second time point one year after the first time point is In the case of 15%
  • the body composition change amount information generating unit 233 may generate the first body component change amount information 330 including information on the systemic body fat percentage -10%, which is the difference between the two systemic body fat percentages.
  • the server based on the association information 350 and the body composition information measured for the user, the server allows the body composition information measured for the user to reach the target body composition information at the target time.
  • the target user record information generation unit 250 may be configured to generate target user record information 370 including user record information about one or more elements affecting the body composition.
  • the target user record information generation unit 250 is based on the association information 350 and the body composition information measured for the user, the body component information measured at the latest time received by the transceiver 210
  • the target user record information 370 may be generated, which includes the feeding information affecting the body composition of the user and the recording information on the amount of activity, to reach the target body composition information at the target time.
  • the latest body composition information about the user includes information about the weight of 80 kg.
  • the target body composition information received by the transceiver 210 is 70 kg and the target time point is three months later, the target user record information generation unit 250 reaches 70 kg after 3 months of the target time point.
  • Target user record information 370 may be generated.
  • the target user record information 370 includes information for managing one or more factors that may affect the change in the body composition of the user based on the association information 350 and the body time information of the latest time, and the exercise and feeding target value. can do.
  • the description of the operation of the target user record information generation unit 250 described above is merely an example, and the present invention is not limited thereto.
  • the target user record information generation unit 250 if the actual body composition information of the user measured at the target time is different from the target body composition information, the actual body composition information and the target user The target user record information 370 may be corrected based on the record information 370.
  • the target user record information generation unit 250 generates target user record information 370 capable of reaching 70 kg of target body composition information from 80 kg of body composition information for three months from the latest time point to the target time point.
  • the target user record information generation unit 250 is based at least in part on the actual body composition information and the target user record information 370 measured at the target time point.
  • the target user record information 370 may be corrected. Accordingly, the target user record information generation unit 250 may generate the target user record information 370 that is more accurate for the user at the next goal setting.
  • the above-described correction operation of the target user record information generation unit 250 is merely an example, and the present invention is not limited thereto.
  • the first user recording information 340 is performed.
  • a predicted body component information generator 270 configured to generate predicted body component information 390 for displaying the body component of the user at the prediction time based at least in part on the second body component information 320.
  • the predicted body composition information generation unit 270 is configured to at least partially based on the first user record information 340 and the second body composition information 320, thereby allowing the user to generate the first user record information 340.
  • the second body composition information 320 may include a predicted value of the body composition that can be reached.
  • the predicted body component information generator may provide an alarm for the user and an alarm of cheering.
  • the first user record information 340 for the period between the first time point and the second time point for the user includes a daily calorie intake amount of 4000 kcal
  • the predicted time point received from the transceiver 210 is three months.
  • the predicted body composition information generation unit 270 includes the predicted body composition information 390 including information that an obesity value of the second body composition information 320 at the second time point reaches an obesity degree 'high obesity' at the predicted time point. ) Can be created.
  • the predicted body component information generator 270 may provide a voice and text message to alert the user.
  • the description and the display method of the above-described operation of the predicted body composition information generation unit 270 are only detailed examples, and the present invention is not limited thereto.
  • the predicted body composition information generation unit 270 may record the actual body composition information and the first user when the actual body composition information of the user measured at the prediction time is different from the predicted body composition information 390.
  • the prediction body composition information 390 may be corrected based on the information 340.
  • the predicted body composition information generation unit 270 may The prediction body composition information 390 may be corrected based at least in part on the actual body composition information measured at the prediction time point and the first user record information 340. Accordingly, the predicted body component information generator 270 may generate more accurate predicted body component information 390 for the user at the next prediction.
  • the method of correcting the predicted body component information generator 270 is merely an example, and the present invention is not limited thereto.
  • the target body composition information, the target time point, and the prediction time point may be respectively or all received from at least one of the body composition measuring device and the user terminal.
  • the target user record information 370 generated by the target user record information generator 250 and the predicted body component information 390 generated by the predicted body component information generator 270 are transmitted to at least one of a body composition measuring apparatus and a user terminal. Can be.
  • FIG. 5 is a flowchart illustrating a method of generating and transmitting association information 350 from user information 303 and body composition information received by a server according to an embodiment of the present invention.
  • the user information 303, the first body composition information 310, and the second body composition information 320 are received from at least one of the body composition measuring apparatus 100 and the user terminal 400 (801).
  • the transceiver 210 is a user information 303 for a user from at least one of the body composition measuring apparatus 100 and the user terminal 400, the first generated for the user at a first time point
  • the first body component information 310 and the second body component information 320 generated for the user may be received at a second time point after the first time point.
  • the transceiver 210 is a target body composition information, a target time point and / or a predicted time point desired by the user from at least one of the body composition measuring apparatus 100 and the user terminal 400. Can be additionally received.
  • the relevance information generating unit determines the association between the first user record information 340 and the first body component change amount information 330 based on the user information 303, the first body component information 310, and the second body component information 320. Generate association information 350 to be displayed (802).
  • the user record information generating unit 231 includes a first user including record information about one or more elements affecting the body composition of the user between the first time point and the second time point.
  • the record information 340 is generated, and the body composition change amount information generating unit 233 includes first body component change amount information (including information on body composition change between the first body component information 310 and the second body component information 320). 330).
  • the association information generation unit 230 may generate association information 350 indicating an association between the first user record information 340 and the first body component change amount information 330.
  • the target user record information generator 250 and / or the predicted body component information generator 270 generate the target user record information 370 and / or the predicted body component information 390. You may.
  • the transceiver transmits the generated association information 350 to at least one of the body composition measuring apparatus 100 and the user terminal 400 (803).
  • the transmission and reception unit 210 is the association information generated by the body composition measuring apparatus 100 and the user terminal 400 or through a network 500 (see FIG. 6). 350 may be transmitted to at least one of the body composition and the user terminal 400.
  • the transceiver 210 may further include target user record information 370 and / or predicted body composition information 390 in the body composition measuring apparatus 100 and the user terminal 400.
  • the transmission may be at least one.
  • FIG 6 illustrates an example system in which various aspects in accordance with one embodiment of the present invention may be implemented.
  • FIG. 6 illustrates devices connected to a network 500 according to an embodiment of the present invention, which may include a body composition measuring device 100, a server 200, a user terminal 400, and the like.
  • the body composition measuring apparatus 100, the server 200, the user terminal 400, and the like have been described above.
  • the network 500 will be described.
  • the network 500 may transmit and / or receive first and second body composition information generated by the body composition measuring apparatus 100, the server 200, and the user terminal 400 according to an embodiment of the present invention. And transmitting and / or transmitting user information 303, target user record information 370, predicted body composition information 390, user record information, and body composition change information for generating the first and second body composition information and providing personalized information. Can be received.
  • the network 500 connecting between the servers and the user equipment does not necessarily need to be one single network.
  • the network 500 may be a LAN, WAN, intranet or the Internet, or a combination thereof, that enables communication between multiple computing devices.
  • the network 500 may include a wireless, wired, or wireless wired connection.
  • techniques such as VPNs can be used to enhance security.
  • the network 500 presented here includes a Public Switiched Telephone Network (PSTN), x Digital Subscriber Line (xDSL), Rate Adaptive DSL (RADSL), Multi Rate DSL (MDSL), and VDSL (Very High).
  • PSTN Public Switiched Telephone Network
  • xDSL Digital Subscriber Line
  • RADSL Rate Adaptive DSL
  • MDSL Multi Rate DSL
  • VDSL Very High
  • Speed DSL Speed DSL
  • UDASL Universal Asymmetric DSL
  • HDSL High Bit Rate DSL
  • LAN Local Area Network
  • the network 500 presented here includes Code Division Multi Access (CDMA), Time Division Multi Access (TDMA), Frequency Division Multi Access (FDMA), Orthogonal Frequency Division Multi Access (OFDMA), and Single Carrier (SC-FDMA).
  • CDMA Code Division Multi Access
  • TDMA Time Division Multi Access
  • FDMA Frequency Division Multi Access
  • OFDMA Orthogonal Frequency Division Multi Access
  • SC-FDMA Single Carrier
  • Various wireless communication systems such as -FDMA) and other systems.
  • the network 500 may be configured regardless of a communication mode such as wired and wireless, and may include various types of short area networks (PANs), wide area networks (WANs), and the like. It can be configured as a communication network.
  • the network 500 may be a well-known World Wide Web (WWW), and may use a wireless transmission technology used for short-range communication such as infrared (IrDA) or Bluetooth (Bluetooth). have.
  • IrDA infrared
  • Bluetooth Bluetooth
  • FIG 7 illustrates an example system in which various aspects may be implemented in accordance with another embodiment of the present invention.
  • the body composition measuring apparatus 100 includes a measuring unit 110 configured to include two or more electrodes measuring impedance due to a current in at least a part of a user's body, and measured by the measuring unit 110 at a first time point.
  • the first body composition information 310 is generated based on the impedance 301 and the user information 303, and based on the impedance 302 and the user information 303 measured at a second time point after the first time point.
  • the correlation based on the biometric information generation unit 130 and the user information 303, the first body component information 310, and the second body component information 320 configured to generate the second body component information 320.
  • the association information generating unit 230 configured to generate the information 350, wherein the association information 350 indicates an association between the first user record information 340 and the first body composition variation amount information 330.
  • the first user record The information 340 includes recording information on one or more factors affecting the body composition of the user made between the first time point and the second time point, and the first body composition change amount information 330 is Information on the change in body composition between the first body composition information 310 and the second body composition information 320 may be included.
  • Measuring unit 110 may include two or more electrodes for measuring the impedance by applying a current to at least a portion of the user's body.
  • the impedance value measured by the electrode may be provided to the biometric information generating unit 130.
  • the body composition measuring apparatus 100 generates the first body component information 310 based on the impedance 301 and the user information 303 measured at the first point in time by the measuring unit 110, and after the first point in time.
  • the biometric information generating unit 130 may be configured to generate the second body composition information 320 based on the impedance 302 and the user information 303 measured at the second time point of FIG. 2 (see FIG. 2).
  • the body composition measuring apparatus 100 may further include first user record information 340 and a first body component based on the user information 303, the first body component information 310, and the second body component information 320.
  • the association information generator 230 may be configured to generate the association information 350 indicating the association between the variation information 330.
  • the body composition measuring apparatus 100 uses the first user record information 340 and the first using the database 600 in the body composition measuring apparatus 100 without a separate transceiver. 1 may be configured to generate the association information 350 that can indicate the association between the body composition variation information 330.
  • data, instructions, instructions, information, signals, bits, symbols, and chips may include voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields. Or particles, or any combination thereof.
  • the various embodiments presented herein may be embodied in a method, apparatus, or article of manufacture using standard programming and / or engineering techniques.
  • article of manufacture includes a computer program, carrier, or media accessible from any computer-readable device.
  • computer-readable media may include magnetic storage devices (eg, hard disks, floppy disks, magnetic strips, etc.), optical discs (eg, CDs, DVDs, etc.), smart cards, and flash memory. Devices, such as, but not limited to, EEPROM, cards, sticks, key drives, and the like.
  • various storage media presented herein include one or more devices and / or other machine-readable media for storing information.
  • machine-readable medium includes, but is not limited to, a wireless channel and various other media capable of storing, holding, and / or delivering instruction (s) and / or data.
  • the present invention can be used for wearable body composition measuring apparatus, professional body composition measuring apparatus, standing type body composition device, body composition measuring server, portable impedance measuring apparatus and the like.

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Abstract

Afin d'atteindre l'objectif mentionné ci-dessus, un mode de réalisation de la présente invention concerne un dispositif de mesure de composants corporels. Le dispositif de mesure de composants corporels comprend : une partie de mesure configurée pour comprendre au moins deux électrodes pour mesurer l'impédance par application d'un courant à au moins une partie du corps d'un utilisateur ; une partie de génération d'informations biologiques configurée pour générer des premières informations de composant corporel sur la base des informations d'utilisateur et de l'impédance, mesurée par la partie de mesure à un premier temps, et pour générer des deuxièmes informations de composant corporel sur la base des informations d'utilisateur et de l'impédance mesurée à un deuxième temps après le premier temps ; et une partie d'émission-de réception configurée pour transmettre les informations d'utilisateur, les premières informations de composant corporel et les deuxièmes informations de composant corporel à au moins l'un parmi un terminal d'utilisateur et un serveur, et pour recevoir des informations de corrélation indiquant une corrélation entre des premières informations de variation de composant corporel et des premières informations d'enregistrement d'utilisateur provenant d'au moins l'un parmi le terminal d'utilisateur et le serveur. Les premières informations d'enregistrement d'utilisateur comprennent des informations d'enregistrement concernant au moins un facteur, formé par rapport à l'utilisateur entre le premier temps et le deuxième temps et influençant le composant corporel de l'utilisateur, et les premières informations de variation de composant corporel comprennent des informations concernant une variation de composant corporel entre les premières informations de composant corporel et les deuxièmes informations de composant corporel.
PCT/KR2016/004756 2016-05-02 2016-05-04 Dispositif et serveur pour mesurer des composants corporels, pour fournir des informations personnalisées WO2017191858A1 (fr)

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KR102068585B1 (ko) * 2018-08-27 2020-01-21 주식회사 셀바스헬스케어 골밀도 측정장치
KR102020483B1 (ko) * 2018-10-15 2019-09-11 주식회사 룩인바디 체성분 변화 성과를 비교하기 위한 지수값을 생성하는 장치 및 방법
KR102279799B1 (ko) * 2019-03-25 2021-07-19 가천대학교 산학협력단 바이오임피던스 기반 실시간 체중 예측 방법, 장치, 및 컴퓨터판독가능매체
KR102174816B1 (ko) * 2019-09-03 2020-11-05 주식회사 룩인바디 체성분 변화 성과를 비교하기 위한 지수값을 생성하는 장치 및 방법
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