A Human Body Composition Analysis Method Based on Genetic Algorithm

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 human body composition analysis method, in particular to a body composition analysis method based on genetic algorithms and an eight-segment impedance model of the human body. Background technique [0002] There are related patents for body composition measurement: [0003] 1. Invention patent. Body composition meter, measurement result output method and program products, 200980158396.X [0004] 2. Invention patent. Body composition detector, 201110442757.2 [0005] Patent 1 uses multiple electrodes to calculate the body composition value of the human body, the body composition value differentiated by part and the ratio of the body composition by part to the whole body composition. The device can measure the trunk / body, arm / body, foot / The ratio of the whole body; Patent 2 The body composition measuring instrument using multi-frequency electrical signals and segment measurement technology can measure the segmented body composition val...

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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

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