Human body composition analysis method based on genetic algorithm

An analysis method, the technology of genetic algorithm, applied in the field of body composition analysis based on genetic algorithm and human body eight-segment impedance model, can solve the problem that it is difficult to establish an accurate prediction model, does not discuss the prediction of human body composition parameters of the eight-segment model, does not involve Anthropometric modeling and other issues

Active Publication Date: 2013-05-29
DALIAN UNIV
View PDF5 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] Document 1 proposed an eight-segment impedance model of the human body based on torso subdivision, which overcomes the shortcomings of the whole body BIA and the traditional five-segment method, and effectively distinguishes the influence of body composition on the chest and abdomen through experiments, but does not discuss the eight-segment model solution and its Prediction of human body composition parameters;
[0012] Document 2 proposed a bioelectrical impedance human visceral fat measurement method based on support vector machine (SVM), which overcomes the problem that it is difficult to establish an accurate prediction model for human visceral fat measurement. The effectiveness of the algorithm is verified by comparing experiments with traditional methods. Anthropometric modeling and prediction of body composition parameters (literature limited to prediction of visceral fat)
[0013] Document 3 proposed an abdominal fat evaluation method based on multi-frequency bioelectrical impedance, using experimental methods and statistical regression methods to construct an abdominal fat model, but it also did not involve the segmentation of human body measurement modeling and the prediction of human body composition parameters

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Human body composition analysis method based on genetic algorithm
  • Human body composition analysis method based on genetic algorithm
  • Human body composition analysis method based on genetic algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0073] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the drawings in the embodiments of the present invention:

[0074] As shown in the figure: a genetic algorithm-based human body composition analysis method mainly includes the following steps:

[0075] Select the eight-segment human body impedance model, according to the input voltage and current, obtain the equations for solving the impedance of each segment of the human body through the circuit principle, and pass the key steps: assuming that the impedance values ​​​​of the upper and lower limbs are the same, analyze and solve the equations, and then obtain the impedance of each segment of the human body The mathematical expression expression of .

[0076] After obtaining the mathematical expressions, conduct multiple se...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a human body composition analysis method based on a genetic algorithm. The human body composition analysis method based on the genetic algorithm comprises the following steps: eight sections of human body impedance models are selectively used and an expression of each section of human body impedance is analyzed and calculated; groups of different voltage and current are set so that groups of human body impedance data models are obtained through calculation; an AIC value of each group of human body impedance data models is calculated through an akaike information criterion and combination with human body physiological parameters; a fitting model is selected; and genetic evolution is conducted on a position coefficient of the fitting model, an unknown parameter of the fitting model is determined through copy, intersection and mutation operation and a human body composition predicting formula is obtained. According to a calculation method of the eight sections of human body impedance models, theoretical reference can be provided to eight section impedance measurement technology. According to the human body composition predicting method based on the genetic algorithm, human body composition predicting accuracy can be improved and an effective detection measure is offered for human body composition research and clinical application.

Description

technical field [0001] The invention relates to a body composition analysis method of a human body, in particular to a body composition analysis method based on a genetic algorithm and an eight-segment impedance model of a human body. Background technique [0002] There are related patents on body composition measurement: [0003] 1. Invention patent. Body composition meter, measurement result output method and program product, 200980158396.X [0004] 2. Invention patent. Body composition detector, 201110442757.2 [0005] Patent 1 uses a plurality of electrodes to calculate the body composition value of the whole body of the human body, the body composition value by part, and the ratio of body composition by part to the whole body. The ratio of the whole body; patent 2 is a body composition measuring instrument using multi-frequency electrical signals and segmental measurement technology, which can measure the segmental body composition values ​​of left and right upper lim...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 陈波刘明英高秀娥
Owner DALIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products