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

Human body physiological age analysis method, system and model based on conventional physical examination indexes

A technology for routine physical examination and human physiology, applied in health index calculation, instrumentation, medical informatics, etc., it can solve the problems of no analysis method of human physiological age, inability to accurately quantify the real physiological age and aging status of the body, etc., to achieve accurate anti-aging effect

Inactive Publication Date: 2019-09-24
ZHEJIANG UNIV
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, routine physical examination indicators (height, weight, blood pressure, pulse, heart rate, blood routine, blood biochemistry, blood rheology, urine routine, etc.) are mainly based on disease monitoring. The normal body index reflected is a numerical range, which cannot accurately quantify the real physiological age and aging status of the body

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 physiological age analysis method, system and model based on conventional physical examination indexes
  • Human body physiological age analysis method, system and model based on conventional physical examination indexes
  • Human body physiological age analysis method, system and model based on conventional physical examination indexes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] Example 1: More than 200 normal volunteers were collected, and the routine physical examination indicators (height, weight, blood pressure, pulse, heart rate, blood routine, blood biochemistry, blood rheology, urine routine, etc.) of the volunteers were detected. They are respectively used to perform linear regression analysis on the age of routine physical examination indicators (height, weight, blood pressure, pulse, heart rate, blood routine, blood biochemistry, blood rheology, urine routine, etc.), to establish an age analysis model based on routine physical examination indicators, and to evaluate The degree of human aging.

Embodiment 2

[0054] Embodiment 2: Use height, weight, blood pressure, pulse, body mass index, heart rate index to do linear regression analysis on age, and establish an age analysis model based on height, weight, blood pressure, pulse, body mass index, heart rate index

[0055]

[0056]

[0057]The linear regression results show that the square of the correlation coefficient R is 0.45, and the F value of the significance test is 8.65E-21, indicating that height, weight, blood pressure, pulse, body mass index, heart rate and other indicators have a significant linear relationship with age. Body weight, blood pressure, pulse, body mass index, heart rate and other indicators to establish a human physiological age analysis model to predict the physiological age of the human body.

[0058]

[0059] According to the correlation coefficient of each index, the human physiological age analysis model based on height, weight, blood pressure, pulse, body mass index, heart rate and other indica...

Embodiment 3

[0062] Example 3: Using blood routine indicators to perform linear regression analysis on age, establishing an age analysis model based on blood routine indicators, and evaluating the degree of human aging

[0063]

[0064]

[0065] The linear regression results show that the square of the correlation coefficient R is 0.27, and the F value of the significance test is 3.01E-04, indicating that each blood routine index has a significant linear relationship with age, and each blood routine index can be used to establish a human physiological age analysis model. Predict the biological age of the human body.

[0066]

[0067] According to the correlation coefficient of each index, the human physiological age analysis model based on each blood routine index is obtained:

[0068] Physiological age=293.65-3.21*white blood cells-4.66*red blood cells+0.34*hemoglobin-0.07*platelets+0.27*platelet distribution width-0.14*hematocrit-0.46*mean blood cell volume-0.62*mean hemoglobin ...

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 relates to a human body physiological age analysis method, system and model based on conventional physical examination indexes. The characteristic rules of the conventional physical examination indexes and human body physiological age changes are analyzed, the age analysis model based on the conventional physical examination indexes is established, and the human body physiological age is analyzed. A physiological age analysis model is established on the basis of conventional physical examination indexes (height, weight, blood pressure, pulse, heart rate, blood routine, blood biochemistry, hemorheology, urine routine and the like) to detect the physiological age of a human body, so that the physiological age of a human body can be detected in real time, the aging degree of a human body can be accurately and quantitatively evaluated, the anti-aging effect of various anti-aging intervention measures can be evaluated, and then a personalized and accurate anti-aging scheme based on aging monitoring can be established.

Description

technical field [0001] The invention belongs to the field of life and health, and in particular relates to a method, system and model for analyzing human physiological age based on conventional physical examination indicators. Background technique [0002] The aging of the world is accelerating. At the end of 2017, there were 240 million people aged 60 and over in mainland China. By 2050, the population aged 65 and over in China will reach 470-480 million. In the future, the health problems faced by the elderly in China will become more and more prominent. For older adults, aging is accompanied by behavioral and cognitive decline and is the greatest risk factor for many diseases such as osteoporosis, neurodegenerative diseases, cancer, diabetes, etc. How to objectively and quantitatively evaluate the aging of the body is the premise of taking effective interventions to prevent and delay aging and even diseases. Due to the lack of analysis methods for the physiological age o...

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): G16H20/00G16H50/30
CPCG16H20/00G16H50/30
Inventor 欧阳宏伟吴兵兵李余邹晓晖
Owner ZHEJIANG UNIV
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