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

A method for assessing the risk of falls in the elderly

A risk assessment, elderly technology, applied in medical science, diagnosis, diagnostic recording/measurement, etc., can solve the problems of unusable detection, large individual influence, high false alarm rate, and achieve the effect of fall risk assessment.

Active Publication Date: 2022-03-08
SOUTHEAST UNIV
View PDF7 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These two methods have certain limitations. The training time cost of the machine learning method is high, and the classification features are not easy to determine and cannot be used for real-time detection; the method of setting thresholds for digital features in statistical analysis is too single. Ignores the dynamic characteristics of the elderly's fall behavior, and is greatly affected by individuals, which will result in a high false alarm rate

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
  • A method for assessing the risk of falls in the elderly
  • A method for assessing the risk of falls in the elderly
  • A method for assessing the risk of falls in the elderly

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] Such as figure 1 As shown, a fall risk assessment method for the elderly, including the following steps:

[0031] (1) Data preparation; select samples, collect gait plantar pressure data and personal health status related data of the sample elderly, and perform corresponding technical processing for model analysis;

[0032] (2) Model construction; building a multivariate statistical regression basic model of the gait plantar pressure data of the elderly on the mean function of different stages

[0033] the y j (t) = β 0 +β 1 h 1 (t)+β 2 h 2 (t)+...+β m h m (t)+δ jt +ε jt

[0034] Among them, t is a time variable, and the total number of value points is n j ,y j (t) represents the plantar pressure value of the old man’s walking gait at a certain moment t measured for the jth time, j=1, 2,..., n, n represents the total number of measurements; h t (t), i=1,2,...,m represents the segmental mean function of the gait plantar pressure of the elderly, and m is the...

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 fall risk assessment method for the elderly, including four steps of data preparation, model construction, parameter range estimation, and fall risk assessment: collecting gait plantar pressure data and personal health status related data of all samples, and Carry out corresponding technical processing for model analysis; construct a multivariate statistical regression basic model of the gait plantar pressure data of the elderly with respect to the mean function of different stages; use maximum likelihood theory and optimization algorithm to determine the reasonable range of parameters in the basic model; The estimated value of the parameter of the object to be evaluated is compared with the reasonable range of the parameter. If the parameter of the object to be evaluated exceeds the reasonable range, the fall risk of the object to be evaluated is higher, and vice versa. The invention comprehensively considers the gait plantar pressure data of all samples and the relevant data of personal health status, can be used to classify the elderly with different fall risk levels, and realize the assessment of the fall risk levels of different elderly people.

Description

technical field [0001] The invention relates to the technical field of fall risk assessment for the elderly, in particular to a fall risk assessment method for the elderly. Background technique [0002] As of the end of 2018, the country's elderly population aged 60 and above was 249 million, accounting for 17.9% of the total population, of which 167 million were 65 and above, accounting for 11.9% of the total population. Falls have become the primary reason for medical treatment for injuries among the elderly aged 65 and over in my country in recent years. In 2014, the National Health and Family Planning Commission officially included "fall prevention" in the 20 "Core Information for Elderly Health". [0003] By evaluating the plantar pressure of the walking gait of the elderly, the fall risk level of the elderly can be obtained, and the elderly with relatively high fall risk can be classified from the elderly with relatively low fall risk. For the elderly who are evaluat...

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 Patents(China)
IPC IPC(8): A61B5/11A61B5/103
CPCA61B5/1038A61B5/112A61B2503/08
Inventor 王海燕周从根杨森
Owner SOUTHEAST 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