WO2013046810A1 - 体重管理装置 - Google Patents
体重管理装置 Download PDFInfo
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- WO2013046810A1 WO2013046810A1 PCT/JP2012/064758 JP2012064758W WO2013046810A1 WO 2013046810 A1 WO2013046810 A1 WO 2013046810A1 JP 2012064758 W JP2012064758 W JP 2012064758W WO 2013046810 A1 WO2013046810 A1 WO 2013046810A1
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- 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
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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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
- 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
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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
- A61B5/48—Other medical applications
- A61B5/4869—Determining body composition
- A61B5/4875—Hydration status, fluid retention of the body
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/44—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/44—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons
- G01G19/50—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons having additional measuring devices, e.g. for height
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- 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
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
Definitions
- the present invention relates to a weight management apparatus, and more particularly to a weight management apparatus for managing the weight of a subject using a target value.
- Patent Document 1 Japanese Patent Application Laid-Open No. 2010-181357
- Patent Document 2 Japanese Patent Application Laid-Open No. 2008-304421
- Patent Document 3 Japanese Patent Application Laid-Open No. 2007-226775
- the target weight loss weight is calculated according to the formula (current weight-target weight).
- Patent Document 1 Japanese Patent Application Laid-Open No. 2010-181357
- Patent Document 2 Japanese Patent Application Laid-Open No. 2008-304421
- the weight changes depending on the amount of daily eating and drinking, and the time of measurement, but in Patent Document 3 (Japanese Unexamined Patent Application Publication No. 2007-226775) and Patent Document 4 (Japanese Unexamined Patent Application Publication No. 2010-237805) Since the target value is calculated without considering the fluctuation factor, the calculated target value becomes a value that results in an excessive decrease in weight, or a variation such as a value that produces no effect of a decrease in weight is large. Become.
- an object of the present invention is to provide a weight management device for deriving a target value for weight loss from data of weight measurement performed once a day.
- a weight management apparatus for obtaining weight data for obtaining weight data including a weight measurement value of a subject at a predetermined timing before getting up and going to bed in the day, and a measurement date and time of the weight measurement value.
- a weight storage unit for storing weight data obtained by the weight obtaining unit in the memory, and a weight measurement value of weight data for a predetermined period stored in the memory
- a target value to be a target when measuring a weight value at a predetermined timing from the representative weight calculation unit, the calculated representative weight value, the intra-day target weight loss value, and the measurement value that causes weight variation
- a target calculation unit for calculating.
- the target value for weight loss considering the variation factor of the weight is derived from the weight data by one weight measurement at a predetermined timing in the day.
- weight measurement refers to, for example, a time zone from 4 am to noon (12:00 noon), and “late time” refers to, for example, a time zone from 7 pm to 2 am Show.
- Body weight refers to the weight measured in the morning time, and “night weight” indicates the weight measured in the evening time. To simplify the explanation it is assumed that body weight (night weight) is measured just before entering the bed to go to bed and weight (morning weight) is measured immediately after getting up.
- within the day refers to the day from the wake-up time of the subject to the bedtime, and one weight measurement is performed at a predetermined timing from the wake-up to the bedtime.
- Weight reduction body weight refers to weight loss during sleep which decreases mainly by basal metabolism such as sweating between bedtime and wake-up time.
- the “daily target weight loss value” indicates a target weight loss value for the day.
- a body weight / body composition meter capable of acquiring not only body weight but also body composition information such as body fat percentage by measuring bioelectrical impedance (hereinafter simply referred to as impedance) simultaneously.
- impedance bioelectrical impedance
- it may be an apparatus having a function of measuring only weight. In that case, it is assumed that the impedance is received from another measuring device.
- FIG. 1 shows the appearance of the weight / body composition meter 3
- FIG. 2 shows the configuration of the weight management system 1.
- the weight management system 1 of FIG. 2 includes a weight / body composition meter 3 and a server (server computer) 5 that communicates with the weight / body composition meter 3.
- a weight / body composition meter 3 is connected to the server 5 in order to simplify the description, but a plurality of weight / body composition meters 3 may be connected.
- the body weight / body composition meter 3 and the server 5 communicate wirelessly or by wire. The exchange of data between the body weight / body composition meter 3 and the server 5 may be performed not via communication but via a storage medium.
- the body weight / body composition meter 3 includes a display / operation unit 10 which is a first portable body held by a subject by hand, and a weight measurement unit 30 which is a second housing on which the subject is to be taken. Equipped with
- the display operation unit 10 includes a communication unit 11, a storage unit 12, a clock unit 13, an operation unit 14, a display unit 15, a constant current circuit unit 16, a power supply unit 17, and a CPU (Central Processing Unit) 181. It includes a control unit 18, a double integration AD (Analog / Digital) unit 19, an impedance detection unit 20, and an electrode unit 21.
- a communication unit 11 includes a communication unit 11, a storage unit 12, a clock unit 13, an operation unit 14, a display unit 15, a constant current circuit unit 16, a power supply unit 17, and a CPU (Central Processing Unit) 181.
- It includes a control unit 18, a double integration AD (Analog / Digital) unit 19, an impedance detection unit 20, and an electrode unit 21.
- AD Analog / Digital
- the communication unit 11 is connected to the control unit 18 and communicates with the server 5 according to a control signal from the control unit 18.
- the communication unit 11 communicates not only with the server 5 but also with other biometric information acquisition devices such as a pedometer, or communicates with a personal computer or a portable information terminal (PDA (Personal Digital Assistants), a cellular phone, etc.) And may communicate with appropriate devices.
- biometric information acquisition devices such as a pedometer, or communicates with a personal computer or a portable information terminal (PDA (Personal Digital Assistants), a cellular phone, etc.) And may communicate with appropriate devices.
- PDA Personal Digital Assistants
- the storage unit 12 includes a device capable of storing information, such as a non-volatile memory and a hard disk.
- the storage unit 12 reads and writes information in accordance with a control signal from the connected control unit 18.
- the clock unit 13 is a device configured by a timer or a counter that counts time such as current date and time, and outputs the time to the control unit 18.
- the operation unit 14 includes a plurality of buttons, switches, etc. (see FIG. 1) on which an operation such as pressing is performed.
- the subject can operate the operation unit 14 to input personal information and physical information of the subject such as a personal identifier, gender, age, height, and weight.
- the input information is provided to the control unit 18.
- the display unit 15 is configured by a display device such as a liquid crystal screen (see FIG. 1), and displays an image such as characters and figures according to an image signal supplied from the control unit 18.
- the constant current circuit unit 16 causes the high frequency (AC) current supplied from the power supply unit 17 to flow in one direction to the electrode unit 21 for current application based on the control of the control unit 18.
- the power supply unit 17 supplies operating power to each unit including the control unit 18.
- the control unit 18 is configured by a CPU 181 and a microcomputer (microcomputer) including a ROM (Read Only Memory) and a RAM (Random Access Memory) (not shown), and each of the units according to programs and data stored in the ROM or the like. Execute control operations and arithmetic operations.
- the programs and data include programs and data for weight management.
- the double integration AD unit 19 is a double integration type AD conversion unit. In operation, the analog signal (voltage signal) output from the impedance detection unit 20 is converted into a digital signal and output to the control unit 18.
- the impedance detection unit 20 detects the impedance of the person to be measured based on the potential difference between the electrode unit 36 provided in the weight measurement unit 30 and the electrode unit 21 provided in the display operation unit 10.
- the electrode unit 21 is provided on the surface of the grip portion (see FIG. 1) of the display operation unit 10 which the subject holds by hand.
- the electrode unit 21 applies a high frequency (AC) current supplied from the power supply unit 17 to the palm of the person holding the grip.
- AC high frequency
- the weight measurement unit 30 includes an operation unit 31, a battery 32, a load detection unit 33, and an electrode unit 36.
- the operation unit 31 functions as an input switch operated to switch ON / OFF of the power supply, and the operation unit 31 outputs an input signal according to the operation to the control unit 18 when operated.
- the battery 32 supplies power to each part centering on the power supply part 17.
- the load detection unit 33 incorporates a plurality of load cells 34.
- the weight of the subject to be measured on the top cover portion 35 (see FIG. 1) which also has the top cover of the housing is measured.
- the measured weight is output to the double integration AD unit 19.
- the electrode unit 36 is provided on the surface of the upper surface portion (see FIG. 1) of the weight measurement unit 30 on which the subject is to be mounted, and is an electrode for current measurement that detects the current flowing from the sole of the subject. is there.
- the electrode unit 36 includes four electrodes in contact with the left toe side, the left toe side, the right toe side, and the right toe side of the subject.
- each of the load cells 34 of the load detection unit 33 is disposed below the electrodes of the electrode unit 36 so that the load applied to the upper surface portion of the weight measurement unit 30 can be measured. Therefore, when the measurement subject gets on the upper surface portion, both the impedance and the weight can be measured simultaneously.
- each load cell 34 is loaded with the weight of the subject.
- Each load cell 34 includes a strain body made of a metal member that deforms in response to an applied load, and a strain gauge stretched on the strain body.
- the strain gauge expands and contracts, the resistance value changes according to the strain gauge expansion and contraction, and the resistance change is derived as a load signal output. Therefore, when the subject rides on the upper surface portion and both feet hit each load cell 34, when the strain body is distorted by the weight of the subject to be applied to the load cell 34, the weight is measured as the change in load signal output described above. Ru.
- the load cell 34 is used as a load sensor for detecting a load, but for example, a spring or a piezo film can be used if it can detect the amount of force applied to the upper surface portion. Or a compression element, a displacement sensor, or the like.
- the server 5 includes a control unit 52 including a communication unit 51, a CPU 521, a ROM, and a computer having a RAM, an operation unit 53, a display unit 54, and a storage unit 55.
- a control unit 52 including a communication unit 51, a CPU 521, a ROM, and a computer having a RAM, an operation unit 53, a display unit 54, and a storage unit 55.
- the communication unit 51 transmits and receives data to and from the body weight / body composition meter 3 according to the control of the control unit 52.
- the CPU 521 of the control unit 52 controls operations of the respective units in accordance with programs and data stored in the ROM or the like, and executes various calculations.
- the operation unit 53 includes a keyboard, a mouse and the like. A signal input by being operated by the operator is output to the control unit 52.
- the display unit 54 corresponds to a liquid crystal display, a CRT (Cathode Ray Tube) display, or the like.
- the display unit 54 displays an image such as a picture or a character in accordance with a control signal supplied from the control unit 52.
- the storage unit 55 is a fixed storage device such as a hard disk or a computer of the CPU 521 such as a flexible disk, a compact disk read only memory (CD-ROM), a read only memory (ROM), a random access memory (RAM) and a memory card. It corresponds to a readable recording medium.
- a fixed storage device such as a hard disk or a computer of the CPU 521 such as a flexible disk, a compact disk read only memory (CD-ROM), a read only memory (ROM), a random access memory (RAM) and a memory card. It corresponds to a readable recording medium.
- the storage unit 55 includes data (body composition information, weight data, measurement date data, etc.) measured by the body weight / body composition meter 3, personal information such as the name (identifier) and address of the person to be measured, and physical information (sex, height, Various data on the subject, such as age, etc., are stored.
- FIG. 3 describes functions of the CPU 181 and associated peripheral circuits.
- the CPU 181 receives the user's operation via the operation unit 31 or 14 and outputs an operation signal based on the received operation, and for obtaining weight data including a weight measurement value and a measurement date and time thereof.
- Weight acquisition unit 62 weight storage unit 64 for storing the acquired weight data in a predetermined area of storage unit 12, representative weight calculation unit 66, target calculation unit 68, variation for obtaining measurement values that cause weight variation Communication with external devices including the server 5 via the communication unit 11 and the factor acquisition unit 70, the prediction value calculation unit 72 for calculating the prediction value of the weight, the output processing unit 73 for displaying information on the display unit 15 And a communication processing unit 74 for performing processing.
- the representative weight calculation unit 66 calculates a representative weight value from among the weight measurement values of the weight data acquired in the most recent predetermined period stored in the storage unit 12.
- the target calculating unit 68 calculates a target value to be a target when measuring the weight value from the calculated representative weight value, the intra-day target weight loss value, and the measurement value that is a factor of weight variation.
- the variation factor acquisition unit 70 stores in the storage unit 12 the impedance acquisition unit 80 for acquiring impedance data including the impedance value measured at the time of weight measurement of the subject and the measurement date and time, and the acquired impedance data And a representative impedance calculating unit 84.
- the representative impedance calculation unit 84 calculates a representative impedance value from among the impedance values of the impedance data of the latest predetermined period stored in the storage unit 12.
- the variation factor acquisition unit 70 calculates the amount of moisture in the body based on the difference impedance value between the calculated representative impedance value and the most recently measured impedance value as a measurement value that is a factor of weight variation.
- These units are realized by a program executed by the CPU 181.
- This program is stored in advance in a ROM (not shown) of the control unit 18.
- the CPU 181 reads the program from the ROM and executes the read program instruction to realize the function of each unit.
- the program may be downloaded from an external device such as the server 5 by the communication unit 11 and stored in the storage unit 12, and then read from the storage unit 12 by the CPU 181 and executed.
- the variation factor acquisition unit 71 of FIG. 4 may be provided.
- the subject can operate the operation unit 14 (or the operation unit 31) to select one function to be operated.
- the details of the variation factor acquisition unit 71 in FIG. 4 will be described later.
- weight management function may be realized by the CPU 521 of the server 5 having the function of FIG. 5. Details of the server 5 of FIG. 5 will be described later.
- measurement data 40 shown in FIG. 6A is stored in the storage unit 12 every time measurement is performed.
- the measurement data 40 is data 401 indicating the actually measured weight value, data 402 indicating the weight value which is the target value calculated by the target calculation unit 68, and data indicating the date and time of measurement based on the clocking data of the clocking unit 13.
- 403 and data 404 indicating impedance values measured simultaneously with weight measurement are associated and included.
- Data 401 and 403 refer to the aforementioned weight data
- data 404 and 403 indicate the aforementioned impedance data.
- the method of acquiring the data 404 is not limited to this.
- the impedance may be measured by another device, the value may be received through the communication unit 11, and stored as data 404 in the storage unit 12, or the subject may operate the operation unit 14 (or the operation unit The value input from 31) may be stored as data 404 in the storage unit 12.
- the impedance indicated by the data 404 of the measurement data 40 and the weight value indicated by the data 401 indicate values measured at about the same time.
- the storage unit 12 has a capacity capable of storing measurement data 40 for multiple weeks or multiple months.
- the daily target weight loss value data 41 shown in (B) of FIG. 6 indicates the weight loss value for one day to achieve the weight loss target of the subject.
- Target setting date data 42 is shown in (C) of FIG.
- the target setting date data 42 indicates the date when the subject starts weight management such as a diet using the body weight / body composition meter 3. That is, it shows the date on which the data of (B) to (F) of FIG. 6 for weight management are set (input) by the subject.
- the long-term target increase / decrease amount data 43 shown in (D) of FIG. 6 indicates a target value of the weight increase / decrease amount input by the measurement subject operating the operation unit 14. In the present embodiment, since weight management is for weight loss, a negative value is input.
- the target achievement period data 44 shown in (E) of FIG. 6 stores the target achievement period set by the measurement subject operating the operation unit 14.
- the target achievement period is a period indicating in the long-term target increase / decrease amount data 43 how long the reduction should be realized.
- the CPU 181 executes an appropriate determination as to whether or not the daily increase / decrease amount which is the daily allowance obtained by dividing the long-term target increase / decrease amount by the number of days of the target achievement period falls within a predetermined range. Then, when it is determined that it is out of the predetermined range in the appropriate determination, an error is displayed on the display unit 15 via the output processing unit 73. Then, the user is prompted to re-input the target achievement period until the subject is determined to be within the predetermined range. This makes it possible to suppress an unreasonable weight loss that places a burden on the body.
- the daily increase / decrease amount determined to be appropriate is stored in the storage unit 12 as the daily target decrease value data 41.
- weight loss (or weight gain) during a month is a rate of increase or decrease within a predetermined range of the current weight, that is, 2% to 10% in healthy adults.
- the weight loss for one month is determined to be an amount of 2% to 10% of the current weight.
- the initial weight data 45 shown in (F) of FIG. 6 indicates the measured weight of the initial date and time when weight management such as a diet is started, that is, the weight measured on the date indicated by the target setting date data 42.
- the weight obtained by adding the long-term target increase / decrease amount data 43 to the initial weight data 45 is the target date of the target date for weight management completion such as diet completion (that is, the date obtained by adding the target achievement period data 44 to the target setting date data 42). It will indicate your weight.
- FIGS. 7 to 10 are flowcharts showing operations executed by the CPU 181 of the control unit 18 of the body weight / body composition meter 3.
- processing for performing weight management for diet purposes will be described according to these flowcharts.
- These flowcharts are stored in advance in the memory or storage unit 12 in the control unit 18 as a program, and the CPU 181 reads the program and executes the instruction to realize the processing.
- data 41 to data 45 shown in FIG. 6 are stored in advance in storage unit 12.
- the subject measures the weight only once in the evening every day, and the storage unit 12 contains a sufficient number of measurement data 40 from the date indicated by the target setting date data 42, for example, the past 10 days. Assume that it has already been stored.
- CPU 181 receives an instruction to turn on the power by operation of operation unit 14 by the subject and activates it (step S 1), and the subject who got on upper surface cover portion 35 (see FIG. 1) Is measured by the load detection unit 33 (step S5).
- the CPU 181 can calculate body composition information based on the impedance detected by the impedance detection unit 20 (see FIG. 2) through the electrode unit 36 of the weight measurement unit 30 and the electrode unit 21 of the display operation unit 10. .
- the weight acquisition unit 62 and the impedance acquisition unit 80 input the weight value measured from the double integration AD unit 19 and the detected impedance value.
- analysis processing of the measurement data 40 is executed by the CPU 181 (step S11), and the processing result including the target value is displayed on the display unit 15 (step S13). Thereafter, the CPU 181 turns off the power (step S15), and ends the process.
- FIG. 8 is a flowchart of analysis processing (see step S11 of FIG. 7).
- the representative weight calculation unit 66 stores the data 401 of the measurement data 40 of the predetermined period (more preferably, the last seven days before the previous day) up to the previous day of the weight measurement in step S5.
- the average value is calculated as a representative value of the measured weight values indicated by data 7 read out from 12 and read out for 7 days (step S21).
- step S23 the amount of ingested water, which is one of the factors causing weight change, is acquired (step S23).
- you ingest a large amount of water during the day your body weight will increase, but the ingested water will become perspiration due to basal metabolism at bedtime, and your weight will be reduced by the next morning.
- water content in the body temporarily increases, it does not contribute to weight gain in the long run. Therefore, in order to obtain an accurate target value for the next day, it is necessary to take into account the amount of water that is taken during the day and remains in the body.
- the variation factor acquisition unit 70 calculates the difference between the impedance value acquired in step S5 and the representative impedance value calculated by the representative impedance calculation unit 84, and compares the difference with a predetermined value X (for example, 100 ⁇ ) (step S31).
- a predetermined value X for example, 100 ⁇
- the representative impedance calculation unit 84 reads the data 404 of the measurement data 40 of the predetermined period up to the nearest time similarly to the weight from the storage unit 12 and calculates an average value of impedance values indicated by the read data 404 And output this as a representative impedance value.
- 100 ⁇ is used as the minimum value for causing weight fluctuation as the predetermined value X.
- the present invention is not limited to this, and a predetermined value is obtained from the past impedance fluctuation and body weight fluctuation for each subject. X may be determined variably.
- variation factor acquisition unit 70 determines that the condition of (difference> predetermined value X) is satisfied based on the comparison result (YES in step S31)
- variation factor (water amount based on the impedance value measured in step S5) ⁇ representative impedance value
- the average water content based on the above is calculated, and the calculated value is output as a fluctuation factor (step S33).
- 0 zero
- 0 is output as a fluctuation factor (step S35). After outputting the fluctuation factor, the process returns to the original process.
- the impedance value measured in the late time is smaller than the representative impedance value in the latest predetermined period (YES in step S31), more water is consumed in the body than usual, so metabolism is caused. At night the weight loss should increase. Therefore, the weight value measured in the evening of step S5 is different from the original weight under the influence of the amount of water, so an accurate target value should be calculated using the amount of water.
- the target calculating unit 68 calculates a target value by subtracting the value of the target weight loss value data 41 in the day from the calculated representative weight value and subtracting the value of the variation factor from the value after the subtraction (step S25).
- the calculated target value is stored as data 402 in the measurement data 40 stored in step S8 (step S27). Thereafter, the process returns to the original process of FIG.
- the amount of body water may be calculated from the variation of the measured impedance based on the relationship that the bioelectrical impedance decreases as the amount of body water increases.
- the calculation method of Japanese Patent Application Laid-Open No. 2002-112976 can be used.
- Ki1, Ki2, Ki3, Ke1, Ke2, Ke3 are predetermined coefficients. Further, a method of calculating the parameters Re and Ri from the measured bioelectrical impedance is described in detail in Japanese Patent Application Laid-Open No. 2002-112976, so the description thereof is omitted here.
- the above-mentioned fluctuation factor acquisition part 70 acquired the amount of intake water based on impedance as a measurement value of a fluctuation factor, it uses the fluctuation factor acquisition part 71 and as a measurement value of a fluctuation factor, the weight due to the dispersion of body weight measurement time The increase or decrease value of may be acquired. That is, since the body weight also changes depending on the basal metabolism, it is necessary to use the weight value measured at the same time zone every day, more preferably at the same time, to calculate the target value accurately.
- the variation factor acquisition unit 71 calculates the reduction amount of the weight per hour by the basal metabolism of the subject. Specifically, the basal metabolic rate (Kcal) per hour is calculated using (daily basal metabolic rate of a subject / 24 hours), and the basal rate per hour calculated is converted to a body weight value .
- the daily basal metabolic rate can be calculated using a known function using parameters of weight, height, age, and sex.
- the variation factor acquisition unit 71 calculates the reduction in body weight per hour by the basal metabolism of the subject based on the consumption Kcal and the calculated basal metabolism per hour. can do.
- variation factor acquisition unit 71 performs representative measurement from among the measurement dates and times indicated by data 403 of measurement data 40 of the latest seven days, for example, in the latest predetermined period stored in storage unit 12. It includes a representative time calculation unit 86 for calculating time and a basal metabolism calculation unit 87.
- the basal metabolism calculating unit 87 calculates the difference between the calculated representative measurement time and the measurement date and time of the most recent weight data stored in the storage unit 12, that is, the measurement time of the weight value measured in step S5.
- the basal metabolism of the subject in the calculated difference is calculated.
- the variation factor acquiring unit 71 converts the basal metabolic rate calculated by the basal metabolic rate calculating unit 87 into a weight loss according to the above-described procedure.
- the calculated amount of weight loss is obtained as a measurement value of the factor of fluctuation.
- both of the variation factor acquisition units 70 and 71 acquire measurement values of variation factors and use the average value of those values as the final measurement value of variation factors. Good.
- the variation factor acquisition unit 71 calculates the difference between the measurement time acquired in step S5 and the representative measurement time calculated by the representative time calculation unit 86 (step S41), and compares the difference with the predetermined value Y (step S43).
- the representative time calculation unit 86 reads out the data 404 of the measurement data 40 for 7 days from the storage unit 12 as the representative measurement time, similarly to the weight, for a predetermined period up to the latest, more preferably 7 days.
- the average value is calculated as a representative value of the late time indicated by the data 403 of the day.
- the variation factor acquisition unit 71 corresponds to the basal metabolism of the subject per differential time according to the above-described procedure.
- the amount of weight loss is calculated and output as a measurement value as a fluctuation factor (step S45).
- 0 (zero) is output as the measurement value of the variation factor (step S47). After outputting the measured value of the variation factor, the process returns to the original process.
- the target calculation unit 68 subtracts the value of the target weight loss value data 41 in the day from the calculated representative weight value, and subtracts the measured value of the variation factor acquired by the variation factor acquisition unit 71 from the value after subtraction.
- the target value is calculated (step S25).
- the calculated target value is stored as data 402 in the measurement data 40 stored in step S8 (step S27). Thereafter, the process returns to the original process of FIG.
- the weight of the previous day may be calculated using a formula, and the calculated weight of the previous day may be derived as a representative weight value.
- the representative weight value that is the weight of the previous day can be calculated by calculating
- the value of the variable x indicating the number of days in the predetermined period in the equation is not limited to "7" and may be "8" or more.
- an average of measured weights every 7 days may be used.
- the predicted value calculation unit 72 calculates the predicted value of the weight based on the measurement data 40 stored in the storage unit 12. The calculated predicted value is displayed on the display unit 15 via the output processing unit 73.
- the predicted value of body weight can be calculated using the regression equation described above.
- a graph 302 shows weight changes on the vertical axis and time on the horizontal axis, and indicates changes in measured weight values indicated by the data 401, and a linear function (regression equation) estimated from the graph 302. And a graph 301 representing.
- the subject can input the value of the variable “N” from the operation unit 14 (or the operation unit 31).
- the target value (the value 300 in FIG. 11) after N days can be predicted by subtracting the value of the daily target weight loss value data 41 from the predicted weight value after N days.
- FIG. 12 shows a display example of the predicted weight value on the display unit 15.
- the display unit 15 also displays predicted target values after N days.
- the predicted target value may be displayed on the same screen as FIG. 12, or may be displayed on another screen after N days.
- the predicted value calculation unit 72 calculates the predicted value of the morning weight on the next day from the weight measured in step S5 and the average value of the nighttime reduced weight.
- the weight of a person increases from morning to evening, and tends to decrease by nighttime from late night to evening.
- the impedance is measured in the morning and in the evening to calculate the nighttime weight loss.
- the predicted value calculation unit 72 calculates morning and evening water content in the body using the procedure described above (body water content estimation method) using the measured impedance, and calculates the difference as a nighttime weight loss value. .
- the predicted value calculation unit 72 acquires the nighttime decreased weight value within the latest predetermined period, and calculates the average value thereof (see FIG. 14). Then, by subtracting the average value from the weight value measured in step S5, it is possible to acquire the predicted value of the weight of the morning of the next day.
- the CPU 181 can obtain the target value of the overnight weight on the next day by subtracting the value of the target weight loss value data 41 in the day from the predicted value of the morning weight on the next day.
- FIG. 15 shows a display example on the display unit 15 by the output processing unit 73.
- the predicted value of the morning weight of the next day calculated by the predicted value calculation unit 72 and the target value of the night weight of the next day are displayed.
- the target value is predicted from the change in morning weight and the weight loss at night.
- the weight measured in step S5 is the late weight every day
- the morning weight is measured instead of the late weight
- the target calculation unit 68 is the target from morning weight to late weight.
- the value may be predicted. The following assumes that the weight measured once daily is morning weight.
- a graph 401 is shown.
- the graph 401 has a slope M.
- a graph 502 shows changes in night weight loss with night weight loss taken on the vertical axis and time taken on the horizontal axis, and a graph 501 of a linear function (regression equation) estimated from the values of the graph 502. Is indicated.
- the graph 501 has a slope L.
- the target value which is the night weight after N days can be calculated according to the formula of (morning body weight measured in step S5 + ( ⁇ ⁇ N ⁇ M + ⁇ ⁇ N ⁇ L)).
- the variables ⁇ and ⁇ indicate weighting factors.
- the body weight / body composition meter 3 transmits the measurement data 40 to the server 5 together with the storage processing at step S8. Then, the CPU 521 of the control unit 52 of the server 5 acquires the measurement data 40 from the body weight / body composition meter 3 and executes the processing according to the above-described respective flowcharts. The data is stored in the storage unit 55, and the information is displayed by the display unit 54.
- the server 5 may transmit information to be displayed on the screen of the display unit 54 to the weight and body composition meter 3.
- the body weight / body composition meter 3 receives information from the server 5 and displays the received information on the display unit 15.
- FIG. 5 describes the functions of the CPU 521 and the related peripheral circuits.
- the CPU 521 receives an operation of the user via the operation unit 53 and outputs an operation signal based on the received operation, and a weight acquisition unit 532 for acquiring measurement data 40 transmitted from the body weight / body composition meter 3,
- a weight storage unit 534 for storing the acquired measurement data 40 in a predetermined area of the storage unit 55, a representative weight calculation unit 536, a target calculation unit 538, and a variation factor acquisition unit 540 that acquires measurement values that cause weight variation.
- Communication processing unit 544 These units have the same functions as the corresponding units in FIG.
- FIG. 5 Each part of FIG. 5 is realized by a program executed by the CPU 521.
- This program is stored in advance in a ROM (not shown) of the control unit 52.
- the CPU 521 reads out the program from the ROM and executes the read program instruction to realize the function of each unit.
- the program may be downloaded from an external device such as a server (not shown) by the communication unit 51 and stored in the storage unit 55, and then read from the storage unit 55 by the CPU 521 and executed.
- the basal metabolic rate or the body water is calculated from the impedance of the subject detected by the impedance detection unit 20, but the calculated body composition information is not limited to the basal metabolic rate or the like.
- body fat percentage BMI (Body Mass Index)
- visceral fat level based on the impedance, height, age, sex of the subject stored in the storage unit 12 and weight detected by the load detection unit 33 Skeletal muscle rate, body age, etc. may be calculated and output together with the weight.
- the above-described method of weight management performed by the weight and body composition meter 3 in the present embodiment can also be provided as a program.
- Such programs are non-temporary in computer readable recording media such as a flexible disk, a compact disk read only memory (CD-ROM), a ROM, a RAM, and a memory card attached to the computer of the control unit 18 or the control unit 52.
- the program can be provided by being recorded in a recording medium such as a hard disk built in the computer.
- the program can be provided by downloading via a network.
- the provided program product is installed in a program storage unit such as a hard disk and read and executed by the CPU 181 (or 521).
- the program product includes the program itself and a recording medium in which the program is recorded.
- Reference Signs List 1 weight management system, 3 weight and body composition meter, 5 servers, 18, 52 control units, 20 impedance detection units, 30 weight measurement units, 40 measurement data, 41 target weight loss data, 42 target setting date data, 43 long-term targets Increase / decrease volume data, 44 target achievement period data, 45 initial weight data, 60, 530 operation reception unit, 62, 532 weight acquisition unit, 64, 534 weight storage unit, 66, 536 representative weight calculation unit, 68, 538 target calculation unit , 70, 71, 540 fluctuation factor acquisition unit, 72, 542 predicted value calculation unit, 73, 543 output processing unit, 74, 544 communication processing unit, 80 impedance acquisition unit, 82 impedance storage unit, 84 representative impedance calculation unit, 86 Representative time calculator, 87 Basal metabolism calculator.
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Abstract
Description
本実施の形態では、体水分量が多いほど、生体インピーダンスは小さくなるとの関係性に基づき、測定されたインピーダンスの変動から体水分量を算出してもよい。たとえば、特開2002-112976号公報の算出方法を用いることができる。
ECw=Ke1×H2/Re+Ke2×W+Ke3
TBw=ICw+ECw
ただし、Ki1、Ki2、Ki3、Ke1、Ke2、Ke3は所定係数である。また、測定された生体インピーダンスからパラメータReおよびRiを算出する方法は、特開2002-112976号公報に詳述されるので、ここでは説明を略す。
上述の変動要因取得部70は、変動要因の測定値としてインピーダンスに基づく摂取水分量を取得したが、変動要因取得部71を用いて、変動要因の測定値として、体重の測定時間のばらつきによる体重の増減値を取得するようにしてもよい。つまり、基礎代謝によっても体重は変動するので、目標値を正確に算出するには、毎日同じ時間帯に、より好ましくは同じ時間に測定された体重値を用いる必要がある。
変動要因取得部71は、ステップS5で取得した測定時間と、代表時間算出部86が算出する代表測定時間の差分を算出し(ステップS41)、その差分と所定値Yとを比較する(ステップS43)。ここで、代表時間算出部86は、代表測定時間として、体重と同様に直近までの所定期間、より好ましくは前日までの7日間の測定データ40のデータ404を記憶部12から読出し、読出した7日間のデータ403が示す晩時間の代表値として平均値を算出する。
上述の代表体重算出部66は、代表体重値として測定体重値の平均値を算出したが、算出方法はこれに限定されない。
本実施の形態では、予測値算出部72は、記憶部12に格納されている測定データ40に基づき体重の予測値を算出する。算出した予測値は、出力処理部73を介して表示部15に表示される。体重の予測値は、上述した回帰式を用いて算出することができる。
予測値算出部72は、ステップS5で測定した体重と、夜間減少体重の平均値とから、翌日の朝体重の予測値を算出する。
上述した実施の形態では、毎日、ステップS5で測定する体重は晩体重であるとしたが、晩体重に代替して朝体重が測定されて、目標算出部68は朝体重から晩体重である目標値を予測するとしてもよい。以下は、毎日、1回測定される体重は朝体重であると想定する。
上述の実施形態では、体重体組成計3により体重管理のための全ての演算を行ったが、体重体組成計3に代替してサーバ5で実施する構成であってもよい。以下に、サーバ5の機能を説明する。
Claims (10)
- 日内の起床から就寝までのうち所定のタイミングにおける被測定者の体重測定値と、前記体重測定値の測定日時とを含む体重データを取得するための体重取得部(62)と、
前記体重取得部により取得された前記体重データをメモリに格納するための体重格納部(64)と、
前記メモリに格納されている所定期間の前記体重データの体重測定値のうちから、代表体重値を算出するための代表体重算出部(66)と、
算出された前記代表体重値と、日内目標減量値と、体重変動の要因となる測定値とから、前記所定のタイミングで体重値を測定する際の目標となるべき目標値を算出するための目標算出部(68)と、を備える、体重管理装置。 - 前記体重変動の要因となる測定値を取得するための変動要因取得部(70)を、さらに備え、
前記変動要因取得部は、
被測定者の前記所定のタイミングで測定された生体インピーダンス値と、前記生体インピーダンス値の測定日時とを含むインピーダンスデータを取得するためのインピーダンス取得部(80)と、
前記インピーダンス取得部により取得された前記インピーダンスデータをメモリに格納するためのインピーダンス格納部(82)と、
前記メモリに格納されている前記所定期間の前記インピーダンスデータのインピーダンス値のうちから、代表インピーダンス値を算出するための代表インピーダンス算出部(84)と、を含み、
算出された前記代表インピーダンス値と、前記メモリに格納されている最も直近の前記インピーダンスデータのインピーダンス値との差分インピーダンス値に基づく体内水分量を、前記体重変動の要因となる測定値として算出する、請求項1に記載の体重管理装置。 - 前記体重変動の要因となる測定値を取得するための変動要因取得部(71)を、さらに備え、
前記変動要因取得部(71)は、
前記メモリに格納されている前記所定期間の前記体重データの測定日時のうちから、代表測定時間を算出するための代表時間算出部(86)と、
算出された前記代表測定時間と、前記メモリに格納されている最も直近の前記体重データの測定日時が示す測定時間との差分時間における被測定者の基礎代謝量を算出するための基礎代謝算出部(87)と、を含み、
算出された前記基礎代謝量に基づく体重値を、前記体重変動の要因となる測定値として算出する、請求項1に記載の体重管理装置。 - 前記代表体重算出部は、
前記メモリに格納されている前記所定期間の前記体重データの体重測定値の平均を、前記代表体重値として算出する、請求項1に記載の体重管理装置。 - 前記代表体重算出部は、
前記メモリに格納されている前記所定期間の前記体重データの体重測定値に基づく回帰式を取得し、前記代表体重値として、前記回帰式に従って最も直近の体重値を算出する、請求項1に記載の体重管理装置。 - 前記所定のタイミングは、被測定者の起床から就寝までのうち就寝側のタイミングを示す、請求項1に記載の体重管理装置。
- 前記就寝側のタイミングでの体重測定値である就寝側体重値と、前記所定期間の就寝中体重減少量の代表値とを用いて、予測される翌日の起床側体重値を算出するための予測体重算出部を、さらに備える、請求項1に記載の体重管理装置。
- 前記予測体重算出部は、
就寝側のタイミングで測定された生体インピーダンス値と、翌日の起床側のタイミングで測定された生体インピーダンス値とを取得し、取得した両方の生体インピーダンス値を用いて、所定換算式に従って、前記就寝中体重減少量を算出する、請求項7に記載の体重管理装置。 - 前記予測体重算出部は、
前記メモリに格納されている前記所定期間の前記体重データの体重測定値に基づく回帰式と、前記所定期間の前記就寝中体重減少量に基づく回帰式とを取得し、取得された両方の前記回帰式を用いて、予測されるN日後の体重値を算出する、請求項8に記載の体重管理装置。 - 被測定者の起床から就寝までのうち所定のタイミングでの体重測定値と、前記体重測定値の測定日時とを含む体重データを取得するための体重取得部と、
前記体重取得部により取得された前記体重データをメモリに格納するための体重格納部と、
前記メモリに格納されている所定期間の前記体重データの体重測定値のうちから、代表体重値を算出するための代表体重算出部と、
算出された前記代表体重値と、日内目標減量値とから、前記所定のタイミングで体重値を測定する際の目標となるべき目標値を算出するための目標算出部と、を備える、体重管理装置。
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103822693A (zh) * | 2013-12-03 | 2014-05-28 | 杨荣 | 具有体重变化记录功能的体重计 |
EP2826420A1 (en) * | 2013-07-16 | 2015-01-21 | Tanita Corporation | Apparatus for predicting change in physical index |
CN114027792A (zh) * | 2021-11-09 | 2022-02-11 | 重庆火后草科技有限公司 | 基于线性相关系数去干扰的睡眠过程的代谢率检测方法 |
Families Citing this family (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP6160819B2 (ja) * | 2013-05-22 | 2017-07-12 | 株式会社タニタ | 重量測定装置、生体測定装置及び重量測定プログラム |
JP6170774B2 (ja) * | 2013-08-08 | 2017-07-26 | 任天堂株式会社 | 測定システム、測定装置の測定方法、測定装置および測定装置の制御プログラム |
JP6332745B2 (ja) * | 2014-06-23 | 2018-05-30 | 信明 遠藤 | 体重管理装置、体重管理方法及び体重管理プログラム |
JP6410181B2 (ja) | 2015-02-24 | 2018-10-24 | 株式会社タニタ | 体組成計 |
WO2017106320A1 (en) * | 2015-12-15 | 2017-06-22 | Romani Renato | Weight management system |
CN105684005A (zh) * | 2016-01-25 | 2016-06-15 | 张阳 | 运动员的体重管理方法及系统 |
JP6268235B2 (ja) * | 2016-07-20 | 2018-01-24 | 正浩 寺島 | 体重管理システム及びプログラム |
JP2018124242A (ja) * | 2017-02-03 | 2018-08-09 | 株式会社島津製作所 | 生体活動による変動測定装置および生体活動による変動表示方法 |
US11395628B2 (en) * | 2017-02-16 | 2022-07-26 | Samsung Electronics Co., Ltd. | Method of providing service based on biometric information and wearable electronic device |
CN108051053A (zh) * | 2017-11-29 | 2018-05-18 | 张焕明 | 一种在减肥过程中使用的体重监测方法 |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002112976A (ja) * | 2000-08-04 | 2002-04-16 | Tanita Corp | 体重管理装置 |
JP2005218582A (ja) * | 2004-02-04 | 2005-08-18 | Yamato Scale Co Ltd | 健康状態判定装置および健康状態判定用プログラム |
JP2009125505A (ja) * | 2007-11-27 | 2009-06-11 | Panasonic Electric Works Co Ltd | 生体情報計測器 |
JP2010181377A (ja) * | 2009-02-09 | 2010-08-19 | Omron Healthcare Co Ltd | 体重管理装置、体重管理方法、および体重管理プログラム |
Family Cites Families (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5839901A (en) * | 1997-10-01 | 1998-11-24 | Karkanen; Kip M. | Integrated weight loss control method |
US6963035B2 (en) * | 2000-08-04 | 2005-11-08 | Tanita Corporation | Body weight managing apparatus |
JP3792547B2 (ja) * | 2001-07-19 | 2006-07-05 | 株式会社タニタ | 生体測定装置 |
JP4600914B2 (ja) * | 2003-10-08 | 2010-12-22 | 株式会社タニタ | 体型判定装置 |
WO2006070827A1 (ja) * | 2004-12-28 | 2006-07-06 | Ssd Company Limited | 健康管理支援システム及び記録媒体 |
ITBO20050803A1 (it) * | 2005-12-30 | 2007-06-30 | Technogym Spa | Metodo per il condizionamento del peso corporeo e dispositivo implementante tale metodo. |
JP2007244728A (ja) * | 2006-03-17 | 2007-09-27 | Omron Healthcare Co Ltd | 体組成計 |
JP5320691B2 (ja) * | 2007-06-11 | 2013-10-23 | オムロンヘルスケア株式会社 | 体重計 |
JP4935583B2 (ja) * | 2007-08-28 | 2012-05-23 | オムロンヘルスケア株式会社 | 健康管理指針アドバイス装置 |
JP5088184B2 (ja) * | 2008-03-18 | 2012-12-05 | オムロンヘルスケア株式会社 | 体組成計 |
DE112009003807B4 (de) * | 2008-12-26 | 2024-05-02 | Omron Healthcare Co., Ltd. | Elektronisches Blutdruckmessgerät und Blutdruckmessverfahren |
JPWO2010095709A1 (ja) * | 2009-02-20 | 2012-08-30 | オムロンヘルスケア株式会社 | 生体情報測定装置、生体情報測定方法、および体組成測定装置 |
JP5440434B2 (ja) * | 2010-07-22 | 2014-03-12 | オムロンヘルスケア株式会社 | 体重管理装置 |
JP5736823B2 (ja) * | 2011-02-16 | 2015-06-17 | オムロンヘルスケア株式会社 | 体重管理装置 |
JP5708136B2 (ja) * | 2011-03-30 | 2015-04-30 | オムロンヘルスケア株式会社 | 体重管理装置 |
-
2011
- 2011-09-26 JP JP2011208661A patent/JP5853533B2/ja active Active
-
2012
- 2012-06-08 DE DE112012003992.0T patent/DE112012003992B4/de active Active
- 2012-06-08 WO PCT/JP2012/064758 patent/WO2013046810A1/ja active Application Filing
- 2012-06-08 CN CN201280046884.3A patent/CN103827642B/zh active Active
- 2012-06-08 US US14/347,026 patent/US20140224552A1/en not_active Abandoned
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002112976A (ja) * | 2000-08-04 | 2002-04-16 | Tanita Corp | 体重管理装置 |
JP2005218582A (ja) * | 2004-02-04 | 2005-08-18 | Yamato Scale Co Ltd | 健康状態判定装置および健康状態判定用プログラム |
JP2009125505A (ja) * | 2007-11-27 | 2009-06-11 | Panasonic Electric Works Co Ltd | 生体情報計測器 |
JP2010181377A (ja) * | 2009-02-09 | 2010-08-19 | Omron Healthcare Co Ltd | 体重管理装置、体重管理方法、および体重管理プログラム |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP2826420A1 (en) * | 2013-07-16 | 2015-01-21 | Tanita Corporation | Apparatus for predicting change in physical index |
CN103822693A (zh) * | 2013-12-03 | 2014-05-28 | 杨荣 | 具有体重变化记录功能的体重计 |
CN114027792A (zh) * | 2021-11-09 | 2022-02-11 | 重庆火后草科技有限公司 | 基于线性相关系数去干扰的睡眠过程的代谢率检测方法 |
CN114027792B (zh) * | 2021-11-09 | 2024-04-09 | 重庆火后草科技有限公司 | 基于线性相关系数去干扰的睡眠过程的代谢率检测方法 |
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