The present invention relates to a method and an apparatus for measuring a distribution of body fat for human body. The method comprises the step of measuring a bioelectrical impedance and a thickness of abdominal subcutaneous fat, based on the personal data such as sex, age, height, weight, etc. The method further comprises the step of calculating an area or an amount of abdominal visceral fat or abdominal subcutaneous fat, based on the measurements of the bioelectrical impedance and the thickness of abdominal subcutaneous fat as well as the girth of abdomen. According to another embodiment of the present invention, the method comprises the step of measuring the thickness of abdominal subcutaneous fat and the girth of abdomen. Thereafter, the area of abdominal visceral fat and the area of abdominal subcutaneous fat are calculated, based upon the measurements of the thickness of abdominal subcutaneous fat and the girth of abdomen.
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51. An apparatus for measuring body fat for human body, characterized in that it comprises:
a first input unit that enters a girth of abdomen;
a second input unit that enters personal data including at least height; and
an arithmetic element that calculates an area of visceral fat based on the data from said first input unit and second input unit.
32. An apparatus for measuring a distribution of body fat for human body, characterized in that it comprises:
a first input unit that enters a thickness of abdominal subcutaneous fat;
a second input unit that enters a girth of abdomen; and
an arithmetic element that calculates an area of abdominal visceral fat based upon the data from said first and second input units.
25. An apparatus for measuring a distribution of body fat for human body, characterized in that it comprises:
a first arithmetic element that calculates an area of abdominal visceral fat;
a second arithmetic element that calculates an area of abdominal subcutaneous fat; and
a decision unit that determines the type of corpulence by dividing the area of abdominal visceral fat calculated in said first arithmetic element by the area of abdominal subcutaneous fat calculated in said second arithmetic element.
11. An apparatus for measuring a distribution of body fat for human body, characterized in that it comprises:
a first input unit that enters personal data including at least one of sex, age, height, or weight;
a measuring unit that measures a bioelectrical impedance;
a second input unit that enters a thickness of abdominal subcutaneous fat; and
an arithmetic element that calculates an area of abdominal visceral fat, based on the data from said first input unit, said measuring unit and said second input unit.
12. An apparatus for measuring a distribution of body fat for human body, characterized in that it comprises:
a first input unit that enters personal data including at least one of sex, age, height, or weight;
a measuring unit that measures a bioelectrical impedance;
a second input unit that enters a thickness of abdominal subcutaneous fat; and
an arithmetic element that calculates an amount of abdominal visceral fat, based on the data from said first input unit, said measuring unit and said second input unit.
13. An apparatus for measuring a distribution of body fat for human body, characterized in that it comprises:
a first input unit that enters personal data including at least one of sex, age, height, or weight;
a measuring unit that measures a bioelectrical impedance;
a second input unit that enters a thickness of abdominal subcutaneous fat; and
an arithmetic element that calculates an area of abdominal subcutaneous fat, based on the data from said first input unit, said measuring unit and said second input unit.
14. An apparatus for measuring a distribution of body fat for human body, characterized in that it comprises:
a first input unit that enters personal data including at least one of sex, age, height, or weight;
a measuring unit that measures a bioelectrical impedance;
a second input unit that enters a thickness of abdominal subcutaneous fat; and
an arithmetic element that calculates an amount of abdominal subcutaneous fat, based on the data from said first input unit, said measuring unit and said second input unit.
19. An apparatus for measuring a distribution of body fat for human body, characterized in that it comprises:
a first input unit that enters personal data including at least one of sex, age, height, or weight;
a measuring unit that measures a bioelectrical impedance;
a second input unit that enters a thickness of abdominal subcutaneous fat; and
an arithmetic element that calculates an area of abdominal visceral fat and an area of abdominal subcutaneous fat, based on the data from said first input unit, said measuring unit and said second input unit.
20. An apparatus for measuring a distribution of body fat for human body, characterized in that it comprises:
a first input unit that enters personal data including at least one of sex, age, height, or weight;
a measuring unit that measures a bioelectrical impedance;
a second input unit that enters a thickness of abdominal subcutaneous fat; and
an arithmetic element that calculates an amount of abdominal visceral fat and an amount of abdominal subcutaneous fat, based on the data from said first input unit, said measuring unit and said second input unit.
16. An apparatus for measuring a distribution of body fat for human body, characterized in that it comprises:
a first input unit that enters personal data including at least one of sex, age, height, or weight;
a measuring unit that measures a bioelectrical impedance;
a second input unit that enters a thickness of abdominal subcutaneous fat;
a third input unit that enters a girth of abdomen; and
an arithmetic element that calculates an amount of abdominal visceral fat, based on the data from said first input unit, said measuring unit, said second input unit and a third input unit.
15. An apparatus for measuring a distribution of body fat for human body, characterized in that it comprises:
a first input unit that enters personal data including at least one of sex, age, height, or weight;
a measuring unit that measures a bioelectrical impedance;
a second input unit that enters a thickness of abdominal subcutaneous fat;
a third input unit that enters a girth of abdomen; and
an arithmetic element that calculates an area of abdominal visceral fat, based on the data from said first input unit, said measuring unit, said second input unit and said third input unit.
18. An apparatus for measuring a distribution of body fat for human body, characterized in that it comprises:
a first input unit that enters personal data including at least one of sex, age, height, or weight;
a measuring unit that measures a bioelectrical impedance;
a second input unit that enters a thickness of abdominal subcutaneous fat;
a third input unit that enters a girth of abdomen; and
an arithmetic element that calculates an amount of abdominal subcutaneous fat, based on the data from said first input unit, said measuring unit, said second input unit and third input unit.
17. An apparatus for measuring a distribution of body fat for human body, characterized in that it comprises:
a first input unit that enters personal data including at least one of sex, age, height, or weight;
a measuring unit that measures a bioelectrical impedance;
a second input unit that enters a thickness of abdominal subcutaneous fat;
a third input unit that enters a girth of abdomen; and
an arithmetic element that calculates an area of abdominal subcutaneous fat, based on the data from said first input unit, said measuring unit, said second input unit and said third input unit.
0. 1. A method of measuring a distribution of body fat for human body, characterized in that it comprises the steps of:
measuring a bioelectrical impedance and a thickness of abdominal subcutaneous fat, based on personal data including at least one of sex, age, height, or weight; and
calculating an area of abdominal visceral fat, based on the measurements of the bioelectrical impedance and the thickness of abdominal subcutaneous fat.
0. 2. A method of measuring a distribution of body fat for human body, characterized in that it comprises the steps of:
measuring a bioelectrical impedance and a thickness of abdominal subcutaneous fat, based on personal data including at least one of sex, age, height, or weight; and
calculating an amount of abdominal visceral fat, based on the measurements of the bioelectrical impedance and the thickness of abdominal subcutaneous fat.
0. 3. A method of measuring a distribution of body fat for human body, characterized in that it comprises the steps of:
measuring a bioelectrical impedance and a thickness of abdominal subcutaneous fat, based on personal data including at least one of sex, age, height, or weight; and
calculating an area of abdominal subcutaneous fat, based on the measurements of the bioelectrical impedance and the thickness of abdominal subcutaneous fat.
0. 4. A method of measuring a distribution of body fat for human body, characterized in that it comprises the steps of:
measuring a bioelectrical impedance and a thickness of abdominal subcutaneous fat, based on personal data including at least one of sex, age, height, or weight; and
calculating an amount of abdominal subcutaneous fat, based on measurements of the bioelectrical impedance and the thickness of abdominal subcutaneous fat.
0. 5. A method of measuring a distribution of body fat for human body, characterized in that it comprises the steps of:
measuring a bioelectrical impedance and a thickness of abdominal subcutaneous fat, based on personal data including at least one of sex, age, height, or weight; and
calculating an area of abdominal visceral fat and an area of abdominal subcutaneous fat, based on the measurements of the bioelectrical impedance and the thickness of abdominal subcutaneous fat.
0. 6. A method of measuring a distribution of body fat for human body, characterized in that it comprises the steps of:
measuring a bioelectrical impedance and a thickness of abdominal subcutaneous fat, based on personal data including at least one of sex, age, height, or weight; and
calculating an amount of abdominal visceral fat and an amount of abdominal subcutaneous fat, based on the measurements of the bioelectrical impedance and the thickness of abdominal subcutaneous fat.
0. 7. A method of measuring a distribution of body fat for human body, characterized in that it comprises the steps of:
measuring a bioelectrical impedance and a thickness of abdominal subcutaneous fat, based on the sex, age, height and weight of a person;
measuring a girth of abdomen; and
calculating an area of abdominal visceral fat, based on the measurements of the bioelectrical impedance, the thickness of abdominal subcutaneous fat and the girth of abdomen.
0. 8. A method of measuring a distribution of body fat for human body, characterized in that it comprises the steps of:
measuring a bioelectrical impedance and a thickness of abdominal subcutaneous fat, based on the sex, age, height and weight of a person;
measuring a girth of abdomen; and
calculating an amount of abdominal visceral fat, based on the measurements of the bioelectrical impedance, the thickness of abdominal subcutaneous fat and the girth of abdomen.
0. 9. A method according
0. 10. A method according
22. An apparatus according to
24. An apparatus according to
0. 26. A method of measuring a distribution of body fat for human body, characterized in that it comprises the steps of:
measuring a thickness of abdominal subcutaneous fat and a girth of abdomen; and
calculating an area of abdominal visceral fat, based upon the measurements of the thickness of abdominal subcutaneous fat and the girth of abdomen.
0. 27. A method of measuring a distribution of body fat for human body, characterized in that it comprises the steps of:
measuring a thickness of abdominal subcutaneous fat and a girth of abdomen; and
calculating an area of abdominal subcutaneous fat, based upon the measurements of the thickness of abdominal subcutaneous fat and the girth of abdomen.
0. 28. A method of measuring a distribution of body fat for human body, characterized in that it comprises the steps of:
measuring a thickness of abdominal subcutaneous fat and a girth of abdomen; and
calculating an area of abdominal visceral fat and an area of abdominal subcutaneous fat, based upon the measurements of the thickness of abdominal subcutaneous fat and the girth of abdomen.
0. 29. A method according to
0. 30. A method according to
0. 31. A method according to any one of
35. An apparatus according to
0. 36. A method of measuring body fat for human body, characterized in that it comprises the steps of:
measuring a bioelectrical impedance between two parts of a person; and
calculating an area or amount of abdominal visceral fat based on the measurements of said bioelectrical impedance between the two parts of the person and the age, the height, and the weight of the person.
0. 37. A method of measuring body fat for human body, characterized in that it comprises the steps of:
measuring a bioelectrical impedance between two parts of a person;
calculating a total amount of fat based on the measurements of said bioelectrical impedance between the two parts of the person and the age, the height, and the weight of the person; and
calculating an area or amount of abdominal visceral fat based on the calculated total amount of fat.
0. 38. A method according to
0. 39. A method according to
0. 40. A method according to
0. 41. An apparatus for measuring body fat for human body, characterized in that it comprises:
an input unit that enters at least one personal data including age, height, and weight;
a measuring unit that measures bioelectrical impedance between two parts of a person; and
an arithmetic element that calculates an area or amount of abdominal visceral fat based on the data from said input unit and said measuring unit.
0. 42. An apparatus for measuring body fat for human body, characterized in that it comprises:
an input unit that enters at least one personal data including age, height, and weight;
a measuring unit that measures a bioelectrical impedance between two parts of a person; and
an arithmetic element that calculates a total amount of fat based on the data from said input unit and said measuring unit, and calculates an area or amount of abdominal visceral fat based on said total amount of fat.
0. 43. An apparatus according to
0. 44. An apparatus according to
0. 45. An apparatus according to
0. 46. A method of measuring body fat for human body, characterized in that it comprises the steps of:
inputting a girth of abdomen; and
calculating a total area of fat in abdomen based on the inputted girth of abdomen and personal data including at least a height.
0. 47. A method of measuring body fat for human body, characterized in that it comprises the steps of:
inputting girth of abdomen; and
calculating an area of visceral fat based on the inputted girth of abdomen and personal data including at least height.
0. 48. A method according to
0. 49. A method according to
0. 50. An apparatus for measuring body fat for human body, characterized in that it comprises:
a first input unit that enters a girth of abdomen;
a second input unit that enters a personal data including at least a height; and
an arithmetic element that calculates total area of fat in abdomen based on the data from said first input unit and second input unit.
52. An apparatus according to claim 50 or 51 in which said first input unit is a girth measuring unit.
0. 53. An apparatus according to
0. 54. An apparatus according to
0. 55. An apparatus according to
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1. Field of the Invention
The present invention relates to a method and an apparatus for measuring a body fat for a person, and more particularly, to a method and an apparatus for measuring a distribution of body fat for a human body.
2. Description of the Prior Art
In the past, the weight of a person was frequently used as a factor to represent a personal health condition. But, recently, a rate of body fat for a person has becoming to be an important factor to represents the health condition for the person. Accordingly, various types of method and apparatus for measuring an amount of body fat have been developed and proposed. For instance, TOKUKAISHO No. 62-169023 discloses a technique for measuring an amount of body fat for a person by entering the personal data such as height, age, sex, etc., and measuring the weight for a person and the impedance between the extreme parts on a body of the person. In addition, TOKUHYOSHO No. 57-500900 discloses a technique for measuring the thickness of a fatty fascia. According to this technique, an ultrasonic pulse signal is applied to an animal from the rear side, and any received signal reflected from a boundary between a fatty fascia and a muscle fascia is detected. Then the time period between transmission and reception of the pulse signal is measured to determine the thickness of the fatty fascia. Furthermore, TOKUKAISHO No. 62-87139 discloses an estimating method for body fat. According to this method, subcutaneous fat on each part of a human body is measured by using an ultrasonic signal. Then the measurement is multiplied by a cross sectional area factor or a body fat estimation factor on each part of the body for producing an estimate of body fat on each part of the body. Thereafter, the individual estimates are integrated to determine whole body fat.
Recently, it has found that a risk for a person to get so called “adult (noncommunicable) diseases”, such as diabetes, arteriosclerosis, etc., may vary depending upon the distribution of fat or whether he has a subcutaneous fat or a visceral fat, irrespective of the same rate of fat he has. Therefore, a method of measuring the distribution of fat by analyzing a tomographic image of an abdomen taken by CT or MRI has been proposed.
Such method, however, is problematic in that the analysis of the image is highly complex and CT may produce an exposure of X-ray to the human body.
Therefore, an object of the present invention is to provide a method and an apparatus for measuring a distribution of body fat, that can solve the problems of the prior art.
In order to attain such object, the prior art problems are solved, according to one aspect of the present invention, by providing a new and improved method of measuring a distribution of body fat for a human body, characterized in that it comprises the steps of. measuring a bioelectrical impedance and a thickness of abdominal subcutaneous fat, based on the personal data such as sex, age, height, weight, etc.; and calculating an area or an amount of abdominal visceral fat, based on the measurements of the bioelectrical impedance and the thickness of abdominal subcutaneous fat.
According to another aspect, the present invention provides a method of measuring a distribution of body fat for a human body, characterized in that it comprises the steps of: measuring a bioelectrical impedance and a thickness of abdominal subcutaneous fat, based on the personal data such as sex, age, height, weight, etc.; and calculating an area or an amount of abdominal subcutaneous fat, based on the measurements of the bioelectrical impedance and the thickness of abdominal subcutaneous fat.
According to further aspect, the present invention provides a method of measuring a distribution of body fat for a human body, characterized in that it comprises the steps of: measuring a bioelectrical impedance and a thickness of abdominal subcutaneous fat, based on the personal data such as sex, age, height, weight, etc.; and calculating an area or an amount of abdominal visceral fat and an area or an amount of abdominal subcutaneous fat, based on the measurements of the bioelectrical impedance and the thickness of abdominal subcutaneous fat.
According to yet further aspect, the present invention provides a method of measuring a distribution of body fat for a human body, characterized in that it comprises the steps of: measuring a bioelectrical impedance and a thickness of abdominal subcutaneous fat, based on the sex, age, height and weight of a person; measuring a girth of abdomen; and calculating an area or an amount of abdominal visceral fat, based on the measurements of the bioelectrical impedance, the thickness of abdominal subcutaneous fat and the girth of abdomen.
According to one embodiment of the present invention, said thickness of abdominal subcutaneous fat is measured by using an ultrasonic signal.
According to one embodiment of the present invention, said thickness of abdominal subcutaneous fat is measured by using a skin hold caliper.
According to yet further aspect, the present invention provides an apparatus for measuring a distribution of body fat for a human body, characterized in that it comprises: a first input unit that enters the personal data such as sex, age, height, weight, etc.; a measuring unit that measures a bioelectrical impedance; a second input unit that enters a thickness of abdominal subcutaneous fat; and an arithmetic element that calculates an area or an amount of abdominal visceral fat, based on the data from said first input unit, said measuring unit and said second input unit.
According to yet further aspect, the present invention provides an apparatus for measuring a distribution of body fat for a human body, characterized in that it comprises: a first input unit that enters the personal data such as sex, age, height, weight, etc.; a measuring unit that measures a bioelectrical impedance; a second input unit that enters a thickness of abdominal subcutaneous fat; and an arithmetic element that calculates an area or an amount of abdominal subcutaneous fat, based on the data from said first input unit, said measuring unit and said second input unit.
According to yet further aspect, the present invention provides an apparatus for measuring a distribution of body fat for a human body, characterized in that it comprises: a first input unit that enters the personal data such as sex, age, height, weight, etc.; a measuring unit that measures a bioelectrical impedance; a second input unit that enters a thickness of abdominal subcutaneous fat; a third input unit that enters a girth of abdomen; and an arithmetic element that calculates an area or an amount of abdominal visceral fat, based on the data from said first input unit, said measuring unit, said second input unit and said third input unit.
According to yet further aspect, the present invention provides an apparatus for measuring a distribution of body fat for human body, characterized in that it comprises: a first input unit that enters the personal data such as sex, age, height, weight, etc.; a measuring unit that measures a bioelectrical impedance; a second input unit that enters a thickness of abdominal subcutaneous fat; a third input unit that enters a girth of abdomen; and an arithmetic element that calculates an area or an amount of abdominal subcutaneous fat, based on the data from said first input unit, said measuring unit, said second input unit and said third input unit.
According to yet further aspect, the present invention provides an apparatus for measuring a distribution of body fat for human body, characterized in that it comprises: a first input unit that enters the personal data such as sex, age, height, weight, etc.; a measuring unit that measures a bioelectrical impedance; a second input unit that enters a thickness of abdominal subcutaneous fat; and an arithmetic element that calculates an area or an amount of abdominal visceral fat and an area or an amount of abdominal subcutaneous fat, based on the data from said first input unit, said measuring unit and said second input unit.
According to one embodiment of the present invention, said second input unit includes an ultrasonic probe.
According to another embodiment of the present invention, the data detected by said ultrasonic probe is transmitted to said arithmetic element via a radio communication means or an optical communication means
According to further embodiment of the present invention, said second input unit includes a skin hold caliper.
According to further embodiment of the present invention, the data detected by said skin hold caliper is transmitted to said arithmetic element via a radio communication means or an optical communication means
According to yet further aspect, the present invention provides an apparatus for measuring a distribution of body fat for a human body, characterized in that it comprises: a first arithmetic element that calculates an area of abdominal visceral fat; a second arithmetic element that calculates an area of abdominal subcutaneous fat; and a decision unit that determines the type of corpulence by dividing the area of abdominal visceral fat calculated in said first arithmetic element by the area of abdominal subcutaneous fat calculated in said second arithmetic element.
According to yet further aspect, the present invention provides a method of measuring a distribution of body fat for a human body, characterized in that it comprises the steps of: measuring the thickness of abdominal subcutaneous fat and the girth of abdomen; and calculating the area of abdominal visceral fat, based upon the measurements of the thickness of abdominal subcutaneous fat and the girth of abdomen.
According to yet further aspect, the present invention provides a method of measuring a distribution of body fat for a human body, characterized in that it comprises the steps of: measuring the thickness of abdominal subcutaneous fat and the girth of abdomen; and calculating the area of abdominal subcutaneous fat, based upon the measurements of the thickness of abdominal subcutaneous fat and the girth of abdomen.
According to yet further aspect, the present invention provides a method of measuring a distribution of body fat for a human body, characterized in that it comprises the steps of: measuring the thickness of abdominal subcutaneous fat and the girth of abdomen; and calculating the area of abdominal visceral fat and the area of abdominal subcutaneous fat, based upon the measurements of the thickness of abdominal subcutaneous fat and the girth of abdomen.
According to one embodiment of the present invention, the step of deriving the area of abdominal visceral fat or the area of abdominal subcutaneous fat further comprises the step of performing a correction process based upon the personal data including sex, age, height, etc.
According to yet further aspect, the present invention provides an apparatus for measuring a distribution of body fat for a human body, characterized in that it comprises: a first input unit that enters the thickness of abdominal subcutaneous fat; a second input unit that enters the girth of abdomen; and an arithmetic element that calculates the area of abdominal visceral fat based upon the data from said first and second input units.
According to one embodiment of the present invention, said first input unit includes an ultrasonic probe.
According to another embodiment of the present invention, said first input unit includes a skin hold caliper.
According to further embodiment of the present invention, the apparatus further comprises a third input unit that enters the personal data including sex, age, height, etc.
Now the preferred embodiments of the present invention will be described with reference to the accompanying drawings.
The weight meter 10 is provided with a power switch (not shown), pairs of foot electrodes 11 and 12, a display 13 and a data input portion 14 on the top of the meter housing. In addition, a weight sensor and a control circuit having an arithmetic component are included inside the housing of weight meter 10.
Alternative to the control circuit 1 and the data input switches 14 positioned on the weight meter 10, the similar control circuit 2 and the data input switches may be positioned on the ultrasonic probe 30, as shown in
Similar to the embodiment as above, the weight meter 10 is provided with a power switch (not shown), pairs of foot electrodes 11 and 12, a display 13 and a data input portion 14 on the top of the meter housing. In addition, a weight sensor and a control circuit having an arithmetic component are included inside the housing of weight meter 10.
Similar to the embodiment as above, instead of the control circuit 1 and the data input switches 14 positioned on the weight meter 10, the similar control circuit 2 and the data input switches may be positioned on the skin hold caliper 40, as shown in
In both embodiments as described above, the weight meter 10 with the fat meter included therein is designed to perform measurement of the bioelectrical impedance between both feet of a person. The present invention is not necessarily be limited to such design, but it may be applied to such configuration that measurement is performed between both hands, between a hand and a foot, between both feet and a hand, as well as between both hands and both feet. The ultrasonic probe 30 functions to measure the thickness of subcutaneous fat in abdomen of a person. In this connection, the measurement may be performed either in “A-mode” which is simple and described latter in detail, or in “B-mode” which takes relatively higher cost. The body fat measuring apparatus in the embodiments as described above use the ultrasonic probe or the skin hold caliper to measure the thickness of subcutaneous fat in abdomen of a person, but they may use other measuring means for performing the same measurement.
Now, a method for measuring a distribution of body fat for a person according to the present invention will be described, in association with the operation of the body fat measuring apparatus in the embodiments as described above.
Then, in step 6, the person measures the thickness of subcutaneous fat in his abdomen by using the ultrasonic probe 30 or the skin hold caliper 40. In this connection; the measurement of the thickness of subcutaneous fat in abdomen by the ultrasonic probe 30 is performed in “A-mode” of operation. The measurement data on the thickness of subcutaneous fat in abdomen obtained by the ultrasonic probe 30 or the skin hold caliper 40 is transmitted to the control circuit of the weight meter 10. With regard to “A-mode” of operation for measuring the thickness of subcutaneous fat, the ultrasonic probe 30 produces a high frequency ultrasonic signal that is incident on a surface of the body of the person. Then the ultrasonic signal is reflected from the boundary between a fatty fascia and a peritoneum or between the fatty fascia and a muscle fascia back to the probe 30. Then the time period between the transmission of the ultrasonic signal and the reception of the reflected ultrasonic signal is measured. The thickness of fatty fascia can be determined based upon the time period thus measured and the known velocity value of sound through the fatty fascia.
Then, the person mounts the weight meter 10 with soles of his feet positioned on the pairs of foot electrodes 11 and 12. In step 7, the weight sensor acts to measure the weight of the person, and the weight thus measured is transmitted to the control circuit 1. Then, in step 8, the bioelectrical impedance is measured. In this connection, the bioelectrical impedance is calculated, based upon the detection signals fed to the control circuit 1 from the constant current electrode plates and voltage measuring electrode plates of the foot electrode pairs 11 and 12.
In step 9, the total amount of fat is calculated from the bioelectrical impedance by the arithmetic circuit within the control circuit 1. The calculation of the total amount of fat is performed according to “BIA” process, for instance. In “BIA” process, the impedance between two parts (for instance, between both feet) of a person is measured, and thereafter, the rate of body fat is calculated by utilizing the fact that the relation between a fat tissue and a defatting tissue is closely related to the bioelectrical impedance. Then the rate of body fat is corrected with the personal data such as height, weight, age, etc.
Based upon the data entered as described above, the arithmetic circuit within the control circuit 1 performs a several operations as follows:
A. (1) Calculation of total area (or cross sectional area) of fat in abdomen:
The total area or amount of fat in abdomen is calculated in relation to the total amount of fat (see FIG.
Where “Y” is derived based upon the value “X”; a horizontal axis in the graph represents “X”, a vertical axis represents “Y”; and the coefficients “a” and “b” are calculated using the actual measurement values as follows:
b={Σ(X−X[average])·(Y−Y[average])}/Σ{X−X[average]2}
a=Y[average]−b·X[average]
A. (2) Calculation of an area (or cross sectional area) of subcutaneous fat in abdomen:
The area or amount of subcutaneous fat in abdomen is calculated in relation to the thickness of abdominal subcutaneous fat, or the product of thickness of abdominal subcutaneous fat and waist size (see
Referring to
Area of abdominal subcutaneous fat≠(thickness of abdominal subcutaneous fat×waist size)
FIG. and waist size
The rate of body surface area of a main body and limbs relative to the total body surface area is generally considered as about 80%. Then the following formula is resulted
Body surface area of a main body and limbs (cm2)=total body surface area (cm2)×0.8
The thickness of subcutaneous fat in several parts of the body (for instance, thigh, crural, abdomen, flank, upper arm, etc.) is measured and the average of them is determined. Due to the fact that density of fat is 0.9 g/cm2, the total amount of subcutaneous fat is calculated according to the following formula:
Total amount of subcutaneous fat (g)=(body surface area of main body and limbs)×(average thickness of subcutaneous fat)×0.9
This is the most theoretical formula, but for the sake of simplicity, the total amount of subcutaneous fat may be calculated simply by using the values of thickness of subcutaneous fat in less number of parts of the body.
The part of the body having the largest amount of subcutaneous fat is abdomen, and therefore, it must have the greatest contribution to the total amount of subcutaneous fat. Accordingly the average thickness of subcutaneous fat is substituted by the thickness of subcutaneous fat in abdomen to produce an estimate of the total amount of subcutaneous fat.
As the result, it is apparent that the values are substantially present on a line. Therefore, it is possible to estimate the total amount of subcutaneous fat from the thickness of subcutaneous fat in abdomen.
Alternatively, more facilitated method of getting the total amount of subcutaneous fat is to obtain the correlation between the thickness of subcutaneous fat in abdomen and the total amount of subcutaneous fat. Then, the regression curve is used to estimate the total amount of subcutaneous fat from the thickness of subcutaneous fat.
C. (2) Calculation of an amount of visceral fat:
The amount of visceral fat is calculated by subtracting the amount of subcutaneous fat from the total amount of fat.
C. (3) Calculation of an area of abdominal subcutaneous fat:
The area of abdominal subcutaneous fat is calculated in relation to the thickness of abdominal subcutaneous fat, or 16).
A. (3) Calculation of an area of abdominal visceral fat:
As described above, the area of abdominal visceral fat is calculated by subtracting the area of abdominal subcutaneous fat from the total area of fat in abdomen.
A. (4) Calculation of an area of abdominal visceral fat/an area of abdominal subcutaneous fat:
B. (1) Calculation of an area of abdominal visceral fat:
The area of abdominal visceral fat is calculated in relation to the waist size (see FIG. 9 25).
B. (2) Calculation of an area of abdominal subcutaneous fat:
As described above, the area of abdominal subcutaneous fat is calculated in relation to the thickness of subcutaneous fat, or the product of thickness of abdominal subcutaneous fat and waist size (see
B. (3) Calculation of an area of abdominal visceral fat/an area of abdominal subcutaneous fat:
It is apparent from the foregoing that the present invention provides a new and improved method and apparatus for producing a several information useful for health care of a person with great simplicity and lower cost and without any adverse effect to the human body. The information thus produced includes, not only data of a body fat, but also data regarding a distribution of fat, such as an area or amount of visceral fat, an area or amount of subcutaneous fat, an area of abdominal visceral fat, and an area of abdominal subcutaneous fat.
In addition, the apparatus of the present invention, as described with reference to
Hasegawa, Hiroki, Hosoi, Hideki, Serita, Eiichi
Patent | Priority | Assignee | Title |
Patent | Priority | Assignee | Title |
3517391, | |||
4928014, | Oct 03 1988 | Futrex, Inc. | Near-infrared apparatus and method for determining percent fat in a body |
4949727, | May 27 1987 | Ya-Man Ltd. | Portable physical checker |
5335667, | Nov 20 1992 | University of Utah Research Foundation | Method and apparatus for determining body composition using bioelectrical impedance |
5435315, | Jan 28 1994 | HEALTHFIRST CORPORATION | Physical fitness evalution system |
5579782, | Aug 12 1993 | OMRON HEALTHCARE CO , LTD | Device to provide data as a guide to health management |
5611351, | Nov 29 1991 | Tanita Corporation | Method and apparatus for measuring body fat |
5619804, | Nov 12 1993 | VOGT, KATIE S | Anatomical measuring tape with indicator |
5817031, | Dec 07 1994 | OMRON HEALTHCARE CO , LTD | Impedance measuring device and a health management device using the same |
6088615, | Aug 12 1993 | OMRON HEALTHCARE CO , LTD | Device to provide data as a guide to health management |
EP545014, | |||
EP977150, | |||
GB2176323, | |||
JP11113870, | |||
JP11123182, | |||
WO9738709, | |||
WO9808437, | |||
WO9817178, |
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