Visceral fat determining device
Abstract
A visceral fat determining device is disclosed which can be used easily at home for example and can obtain information on visceral fat. The visceral fat determining device comprises: input means for inputting personal data that represents vital characteristics of the patient; a data processing unit capable of performing various calculations; and a display device capable of displaying the personal data and results of the calculations. Upon inputting of a waist size which is a girth of trunk of the patient, and a hip size which is a girth of buttocks of the patient, quantitative information on abdominal visceral fat of the patient is given through a calculation based on WHR which is a ratio of the waist size to the hip size (waist size/hip size).
Claims
exact text as granted — not AI-modified1 . A visceral fat determining device comprising:
input means for inputting personal data including an abdominal girth W L which is a circumferential length of a trunk of a patient, a gluteal girth H L which is a circumferential length of buttocks of the patient, height and weight of the patient; a data processing unit for storing the personal data and for calculating an estimated value of an abdominal visceral fat cross sectional area VA of the patient based on the personal data; and a display device for displaying the personal data and a result of the calculation performed by the data processing unit; wherein the data processing unit stores a second regression coefficient of WHR, WHR being a ratio (W L /H L ) of an abdominal girth W L to an gluteal girth H L , and a first regression coefficient of BMI, BMI being an index of corpulence, and a second regression constant, the regression coefficients and the regression constant being obtained from statistical processing based on actual measurement values of the abdominal visceral fat cross sectional area VA measured in abdominal tomography of human bodies of random samples and respective WHR values and BMI values of the human samples, the data processing unit calculating the estimated value of abdominal visceral fat cross sectional area VA of the patient based on a WHR value and a BMI value of the patient, the second regression coefficient of said WHR, the first regression coefficient of said BMI and the second regression constant.
2 . A visceral fat determining device comprising:
input means for inputting personal data including an abdominal girth W L which is a circumferential length of a trunk of a patient, a gluteal girth H L which is a circumferential length of buttocks of the patient, height, weight, sex and age of the patient; a data processing unit for storing the personal data and for calculating an estimated value of an abdominal visceral fat cross sectional area VA of the patient based on the personal data; a display device for displaying the personal data and a result of the calculation performed by the data processing unit; and body fat ratio measuring means for measuring a bioelectrical impedance Z of the patient via electrodes contacted to end portions of the patient and for calculating a body fat ratio FAT of the patient based on the measured bioelectrical impedance Z and the inputted personal data or a portion thereof; wherein the data processing unit stores a third regression coefficient of WHR, WHR being a ratio (W L /H L ) of an abdominal girth W L to an gluteal girth H L , a first regression coefficient of body fat ratio FAT and a third regression constant, the regression coefficients and the regression constant being obtained from statistical processing based on actual measurement values of the abdominal visceral fat cross sectional area VA measured in abdominal tomography of human bodies of random samples and respective WHR values and FAT values of the human samples, the data processing unit calculating the estimated value of abdominal visceral fat cross sectional area VA of the patient based on a WHR value of the patient, a FAT value of the patient measured by the body fat ratio measuring means, the third regression coefficient of said WHR, the first regression coefficient of said FAT and the third regression constant.
3 . A visceral fat determining device comprising:
input means for inputting personal data including an abdominal girth W L which is a circumferential length of a trunk of a patient, a gluteal girth H L which is a circumferential length of buttocks of the patient, height, weight and an abdominal subcutaneous fat thickness s of the patient; a data processing unit capable of storing the personal data and performing calculation of an estimated value of an abdominal visceral fat cross sectional area VA of the patient based on the personal data; and a display device for displaying the personal data and a result of the calculation performed by the data processing unit; wherein the data processing unit stores a fourth regression coefficient of WHR, WHR being a ratio (W L /H L ) of an abdominal girth W L to an gluteal girth H L , a second regression coefficient of BMI, BMI being an index of corpulence, a first regression coefficient of the abdominal subcutaneous fat thickness s and a fourth regression constant, the regression coefficients and the regression constant being obtained from statistical processing of correlation among actual measurement values of the abdominal visceral fat cross sectional area VA measured in abdominal tomography of human bodies of random samples and respective WHR values, BMI values and abdominal subcutaneous fat thickness values s of the human samples, the data processing unit calculating the estimated value of abdominal visceral fat cross sectional area VA of the patient based on a WHR value, a BMI value and an abdominal subcutaneous fat thickness value s of the patient, the fourth regression coefficient of said WHR, the second regression coefficient of said BMI, the first regression coefficient of said abdominal subcutaneous fat thickness value s and the second regression constant.
4 . The visceral fat determining device according to claim 3 , wherein the data processing unit further calculates an abdominal subcutaneous fat cross sectional area SA based on the abdominal subcutaneous fat thickness s and the abdominal girth WL, of the patient.
5 . The visceral fat determining device according to claim 4 , wherein the data processing unit further calculates a ratio VSR between the estimated value of abdominal visceral fat cross sectional area VA and the abdominal subcutaneous fat cross sectional area SA, of the patient.
6 . The visceral fat determining device according to claim 5 , wherein the data processing unit further calculates a total abdominal fat cross sectional area WA based on the estimated value of abdominal visceral fat cross sectional area VA and the abdominal subcutaneous fat cross sectional area SA, of the patient.
7 . A visceral fat determining device comprising:
input means for inputting personal data including an abdominal girth W L which is a circumferential length of a trunk of a patient, a gluteal girth H L which is a circumferential length of buttocks of the patient, height, weight, sex, age and an abdominal subcutaneous fat thickness s of the patient; a data processing unit for storing the personal data and for calculating an estimated value of an abdominal visceral fat cross sectional area VA of the patient based on the personal data; a display device for displaying the personal data and a result of the calculation performed by the data processing unit; and body fat ratio measuring means for measuring a bioelectrical impedance Z of the patient via electrodes contacted to end portions of the patient and for calculating a body fat ratio FAT of the patient based on the measured bioelectrical impedance Z and the inputted personal data or a portion thereof; wherein the data processing unit stores a fifth regression coefficient of WHR, WHR being a ratio (W L /H L ) of an abdominal girth W L to an gluteal girth H L , a second regression coefficient of body fat ratio FAT, a second regression coefficient of the abdominal subcutaneous fat thickness s and a fifth regression constant, the regression coefficients and t regression constant being obtained from statistic a ssing of correlation among actual measurement values of the abdominal visceral fat cross sectional area VA measured in abdominal tomography of human bodies of random samples, and respective WHR values, FAT values and abdominal subcutaneous fat thickness values s of the human samples, the data processing unit calculating the estimated value of abdominal visceral fat cross sectional area VA of the patient based on a WHR value of the patient, a FAT value and an abdominal subcutaneous fat thickness value s measured by the body fat measuring means, the fifth regression coefficient of said WHR, the second regression coefficient of said FAT, the second regression coefficient of said abdominal subcutaneous fat thickness s, and the fifth regression constant.
8 . The visceral fat determining device according to claim 7 , wherein the data processing unit further calculates an abdominal subcutaneous fat cross sectional area SA based on the abdominal subcutaneous fat thickness s and the abdominal girth W L , of the patient.
9 . The visceral fat determining device according to claim 8 , wherein the data processing unit further calculates a ratio VSR between the estimated value of abdominal visceral fat cross sectional area VA and the abdominal subcutaneous fat cross sectional area SA, of the patient.
10 . The visceral fat determining device according to claim 8 , wherein the data processing unit further calculates a total abdominal fat cross sectional area WA based on the estimated value of abdominal visceral fat cross sectional area VA and the abdominal subcutaneous fat cross sectional area SA, of the patient.
11 . A visceral fat determining device comprising:
input means for inputting personal data including an abdominal girth W L which is a circumferential length of a trunk of a patient, and a gluteal girth H L which is a circumferential length of buttocks of the patient; a data processing unit for storing the personal data and for calculating an estimated value of an abdominal visceral fat cross sectional area VA of the patient based on the personal data; a display device for displaying the personal data and a result of the calculation performed by the data processing unit; and impedance measuring means for measuring a bioelectrical impedance Z of the patient via electrodes contacted to end portions of the patient and for calculation on the measured bioelectrical impedance Z; wherein the data processing unit stores a sixth regression coefficient of WHR, WHR being a ratio (W L /H L ) of an abdominal girth W L to an gluteal girth H L , a first regression coefficient of the bioelectrical impedance Z and a sixth regression constant, the regression coefficients and the regression constant being obtained from statistical processing of correlation among actual measurement values of the abdominal visceral fat cross sectional area VA measured in abdominal tomography of human bodies of random samples, and respective WHR values and bioelectrical impedance values Z of the human samples, the data processing unit calculating the estimated value of abdominal visceral fat cross sectional area VA of the patient based on a WHR value of the patient, a bioelectrical impedance value Z of the patient measured by the body fat ratio measuring means, the sixth regression coefficient of said WHR, the first regression coefficient of said bioelectrical impedance Z, and the sixth regression constant.
12 . A visceral fat determining device comprising:
input means for inputting personal data including an abdominal girth W L which is a circumferential length of a trunk of a patient, and a gluteal girth H L which is a circumferential length of buttocks of the patient; a data processing unit for storing the personal data and for calculating an estimated value of an abdominal visceral fat cross sectional area VA of the patient based on the personal data; a display device for displaying the personal data and a result of the calculation performed by the data processing unit; and impedance measuring means for measuring a bioelectrical impedance Z of the patient via electrodes contacted to end portions of the patient and for calculation on the measured bioelectrical impedance Z; where in the data processing unit stores a seventh regression coefficient of WHR, and a first regression coefficient of T L 2 /Z and a seventh regression constant, WHR being a ratio (W L /H L ) of an abdominal girth W L to an gluteal girth H L , T L 2 /Z being obtained by dividing a squared height of a human by his bioelectrical impedance, the regression coefficients and the regression constant being obtained from,statistical processing of correlation among actual measurement values of the abdominal visceral fat cross sectional area VA measured in abdominal tomography of human bodies of random samples, and respective WHR values and T L 2 /Z values of the human samples, the data processing unit calculating the estimated value of abdominal visceral fat cross sectional area VA of the patient based on a WHR value of the patient, a bioelectrical impedance value Z of the patient measured by the body fat ratio measuring means, a height value T L inputted from the input means, the seventh regression coefficient of said WHR, the first regression coefficient of said T L 2 /Z, and the seventh regression constant.Join the waitlist — get patent alerts
Track US2005124865A1 — get alerts on status changes and closely related new filings.
We store only your email — no account needed. See our privacy policy.