Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Human body composition and visceral fat content prediction method

A technology of visceral fat and prediction method, which is applied in the directions of diagnostic recording/measurement, medical science, diagnosis, etc., and can solve the problems of insufficient physiological state information and so on.

Pending Publication Date: 2022-04-22
深圳医和家智慧医疗科技有限公司
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, because the physiological state information contained in biological tissue impedance is not sufficient, there are many key parameters related to human body composition and visceral fat content, and there are many uncertainties in the scientific analysis of human health status. The source of awareness of health status is still the medical examination

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 and visceral fat content prediction method
  • Human body composition and visceral fat content prediction method
  • Human body composition and visceral fat content prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] Such as figure 1 A method for predicting human body composition and visceral fat content is shown,

[0028] 1. In order to measure the bioelectrical impedance of different parts of the human body, establish figure 1 The segmental electrical impedance model shown divides the human body into 5 segments: left upper limb, right upper limb, trunk, left lower limb, and right lower limb. The sinusoidal current source generated by the signal generating circuit is applied to the corresponding parts of the human body through the electrodes as the excitation signal of the system;

[0029] 2. Obtain input data and output data by benchmarking against inbody370, and then deduce the body composition algorithm through data statistical modeling;

[0030] 1) Input data:

[0031] Select height, gender, age, and weight as the first input data; select the five-segment electrical impedance value of the human body at three frequencies of 5KHz, 50KHz, and 250KHz as the second input data, co...

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 and visceral fat content prediction method, which comprises the following steps: determining a segmented impedance model, and collecting an impedance value; constructing input data and output data according to the standard body fat rate gold standard; selecting characteristic values; determining an eigenvalue vector combination; increasing constraint conditions, and increasing the result credibility of the regression model; and obtaining a human body composition and visceral fat content prediction model. The method provided by the invention is compared with results of KLPS regression, a traditional cross validation SVR regression algorithm and a multiple regression method in visceral fat area prediction, and the effectiveness and superiority of the method are verified through correlation and mean square error analysis.

Description

technical field [0001] The invention relates to the technical field of health prediction, in particular to a method for predicting human body composition and visceral fat content. Background technique [0002] Changes in body composition and visceral fat content are important causes of changes in human health status, and they are also two important health indicators that are easy to analyze for the general population. Traditional medical testing methods are complex to operate and costly, and some may even cause certain harm to the human body. The application of bioelectrical impedance analysis technology to measure body composition and visceral fat content and conduct health assessment is an effective means to realize individual health status monitoring and early warning. [0003] However, because the physiological state information contained in biological tissue impedance is not sufficient, there are many key parameters related to human body composition and visceral fat co...

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
IPC IPC(8): A61B5/0537A61B5/00
CPCA61B5/0537A61B5/4872A61B5/4869A61B5/7264A61B5/7267
Inventor 蔡智华
Owner 深圳医和家智慧医疗科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com