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CN-121987184-A - Method for evaluating body composition data

CN121987184ACN 121987184 ACN121987184 ACN 121987184ACN-121987184-A

Abstract

The method for evaluating the body composition data comprises the steps of firstly providing a three-dimensional body scanner, wherein the three-dimensional body scanner is provided with a data database, the data database stores parent data of different people, then a testee inputs parameters such as the people, the sex, the age, the weight and the like in the three-dimensional body scanner, then the three-dimensional body scanner scans the body of the testee to obtain the body size of the testee, the three-dimensional body scanner obtains measurement data according to the obtained body size and the parameters input by the testee, and finally the measurement data of the testee and the parent data of the data database are analyzed and compared, so that the body composition condition of the testee in the belonging people can be evaluated, the body composition evaluation requirement of different people can be met, and the accuracy of an evaluation result can be improved.

Inventors

  • XIE KUNCHANG

Assignees

  • 兴友科技股份有限公司

Dates

Publication Date
20260508
Application Date
20251107
Priority Date
20241108

Claims (10)

  1. 1. A method of evaluating volumetric composition data, comprising the steps of: (a) Providing a three-dimensional human body scanner, wherein the three-dimensional human body scanner is provided with a data database, and the data database stores parent data of different human species; (b) Inputting a plurality of parameters including race, gender, age and weight by a subject at an input unit of the three-dimensional body scanner; (c) Scanning the body of the testee by the three-dimensional body scanner to obtain the body size of the testee, wherein the body size of the testee comprises volume, circumference and length; (d) Obtaining a measurement data of the subject from a data construction unit of the three-dimensional body scanner according to the body size obtained in the step (c) and a plurality of parameters input by the subject in the step (b), and (E) And a data analysis unit of the three-dimensional human body scanner is used for analyzing and comparing the measurement data of the tested person with the parent data of the data database so as to evaluate the body composition condition of the tested person in the affiliated race.
  2. 2. The method of claim 1, wherein in the step (a), the parent data is body composition data of mexican, black, white, latin, asian and other persons of different sexes and ages.
  3. 3. The method of evaluating volumetric composition data according to claim 1, wherein in step (c), the standard score of the measurement data is calculated by any one of the following formulas: Or (b) And is also provided with , Wherein Z is the standard fraction of the measured data, X is the measured data, M is the median of the parent data, L is the power transformation of the parent data, and S is the standard deviation of the parent data.
  4. 4. The method for evaluating volumetric composition data according to claim 3, wherein the measurement data includes at least one of bone mineral mass rate, muscle rate, fat rate, and bone density.
  5. 5. The method for evaluating volumetric composition data according to claim 4, wherein when the measured data is a bone mineral mass rate, the median value of the measured data is calculated by the following formula: X Mi =a 0 +a 1 x+a 2 x 2 +a 3 x 3 +a 4 x 4 ; the power of the measurement data is calculated by the following formula: X Li = b 0 +b 1 x+b 2 x 2 +b 3 x 3 +b 4 x 4 ; the standard deviation of the measurement data is calculated from the following formula: X Si = c 0 +c 1 x+c 2 x 2 +c 3 x 3 +c 4 x 4 ; Wherein X M represents the median value of the measurement data, X L represents the power transformation of the measurement data, X S represents the standard deviation of the measurement data, i represents the whole body, the right upper limb, the left upper limb, the torso, the right lower limb or the left lower limb of the subject, X represents the age of the subject, and a 0 ~a 4 、b 0 ~b 4 and c 0 ~c 4 are regression coefficients.
  6. 6. The method of evaluating volumetric composition data according to claim 1, wherein when the measured data is a muscle rate, the median value of the measured data is calculated by the following formula: X Mi = d 0 +d 1 x+d 2 x 2 +d 3 x 3 +d 4 x 4 ; the power of the measurement data is calculated by the following formula: X Li = e 0 +e 1 x+e 2 x 2 +e 3 x 3 +e 4 x 4 ; the standard deviation of the measurement data is calculated from the following formula: X Si = f 0 +f 1 x+f 2 x 2 +f 3 x 3 +f 4 x 4 ; Wherein X M represents the median value of the measurement data, X L represents the power transformation of the measurement data, X S represents the standard deviation of the measurement data, i represents the whole body, the right upper limb, the left upper limb, the torso, the right lower limb or the left lower limb of the subject, X represents the age of the subject, and d 0 ~d 4 、e 0 ~e 4 and f 0 ~f 4 are regression coefficients.
  7. 7. The method of evaluating volumetric composition data according to claim 4, wherein when the measured data is a fat rate, the median value of the measured data is calculated by the following formula: X Mi = g 0 +g 1 x+g 2 x 2 +g 3 x 3 +g 4 x 4 ; the power of the measurement data is calculated by the following formula: X Li = h 0 +h 1 x+h 2 x 2 +h 3 x 3 +h 4 x 4 ; the standard deviation of the measurement data is calculated from the following formula: X Si = j 0 +j 1 x+j 2 x 2 +j 3 x 3 +j 4 x 4 ; Wherein X M represents the median value of the measurement data, X L represents the power transformation of the measurement data, X S represents the standard deviation of the measurement data, i represents the whole body, the right upper limb, the left upper limb, the torso, the right lower limb or the left lower limb of the subject, X represents the age of the subject, and g 0 ~g 4 、h 0 ~h 4 and j 0 ~j 4 are regression coefficients.
  8. 8. The method of evaluating volumetric composition data according to claim 4, wherein when the measured data is bone density, the median value of the measured data is calculated by the following formula: X Mi = k 0 +k 1 x+k 2 x 2 +k 3 x 3 +k 4 x 4 ; the power of the measurement data is calculated by the following formula: X Li = l 0 +l 1 x+l 2 x 2 +l 3 x 3 +l 4 x 4 ; the standard deviation of the measurement data is calculated from the following formula: X Si = m 0 +m 1 x+m 2 x 2 +m 3 x 3 +m 4 x 4 ; Wherein X M represents the median value of the measurement data, X L represents the power transformation of the measurement data, X S represents the standard deviation of the measurement data, i represents the whole body, the right upper limb, the left upper limb, the torso, the right lower limb or the left lower limb of the subject, X represents the age of the subject, and k 0 ~k 4 、l 0 ~l 4 and m 0 ~m 4 are regression coefficients.
  9. 9. The method according to claim 1, wherein in the step (d), the database is updated periodically by a dynamic updating unit of the three-dimensional body scanner according to the comparison result.
  10. 10. The method of claim 1, wherein in step (d), a personalized composition evaluation report is generated by an output unit of the three-dimensional body scanner based on the comparison result of step (e).

Description

Method for evaluating body composition data Technical Field The disclosure relates to the technical field of body composition data evaluation, and in particular relates to a method for evaluating body composition data of different human species by using a three-dimensional human body scanning technology. Background The body composition data (e.g., bone mineral mass, fat mass, muscle mass, and bone density) may be evaluated by several different methods, such as using advanced medical equipment such as dual energy X-ray absorption (DXA), computed Tomography (CT), and Magnetic Resonance Imaging (MRI), or using in-water weighting (Underwater Weighing), air displacement plethysmography (AIR DISPLACEMENT plethysmography, ADP), sebum thickness measurement (Skinfold Measurement), body circumference measurement (Circumference Measurement), isotope Dilution (isopipe), ultrasound measurement, potassium-40 measurement (Potassium-40 Counting), and bioelectrical impedance analysis (Bioelectrical IMPEDANCE ANALYSIS, BIA). As there are significant differences in the body composition data of different ethnicities, such as black having a higher muscle rate than others, asians are more fatty than others. Among the above methods, there is no method for evaluating the body composition data of different species, so that the accuracy of the evaluation result may be affected by the difference of species. Therefore, there is still a need for improvement in the conventional method for evaluating volumetric composition data. Disclosure of Invention The main objective of the present disclosure is to provide a method for evaluating body composition data, which uses a three-dimensional human body scanning technique to evaluate body composition data of different human species, so as to meet the body composition evaluation requirements of different human species and improve the accuracy of the evaluation result. In order to achieve the above main objective, the method for evaluating body composition data according to the present disclosure includes the steps of (a) providing a three-dimensional body scanner having a database storing parent data of different species, (b) inputting a plurality of parameters including species, gender, age and weight by a subject at an input unit of the three-dimensional body scanner, (c) scanning the body of the subject by the three-dimensional body scanner to obtain a body size of the subject including volume, circumference and length, (d) obtaining a measurement data of the subject by a data construction unit of the three-dimensional body scanner according to the body size obtained in step (c) and the plurality of parameters input by the subject in step (b), and (e) comparing the measurement data of the subject with the body composition data of the database by a data analysis unit of the three-dimensional body scanner, thereby evaluating the body composition data of the subject among the parent composition data. Therefore, the evaluation method disclosed by the invention can evaluate the body composition condition of the testee in the belonging race, thereby meeting the body composition evaluation requirements of different races and improving the accuracy of the evaluation result. According to an embodiment of the present disclosure, the maternal data is body composition data of mexico, black, white, latin, asian and other than the foregoing, of different sexes and different ages. According to an embodiment of the present disclosure, the measurement data is at least one of bone mineral mass rate, muscle rate, fat rate, and bone density. According to the embodiment of the disclosure, after analysis and comparison are completed, a dynamic updating unit of the three-dimensional human body scanner updates the data database periodically according to the comparison result so as to improve the accuracy and reliability of the parent data. According to the embodiment of the disclosure, after analysis and comparison are completed, an output unit of the three-dimensional human body scanner generates a personalized body composition evaluation report according to the comparison result, and the personalized body composition evaluation report enables a testee to make personal body composition management in addition to enabling the testee to know the body composition of the testee more clearly. The detailed construction, features, assembly or manner of use of the method of evaluating body composition data provided by the present disclosure will be described in the detailed description of the embodiments that follows. However, those of ordinary skill in the art will appreciate that the detailed description and the specific embodiments that are presented to practice the present disclosure are provided by way of illustration only and are not intended to limit the scope of the present disclosure. Drawings The above and other objects, features and advantages of the present disclosure will become more apparent from the followin