Road condition identifying method for lower limb prosthesis walking

A recognition method and road condition technology, applied in the field of lower limb prosthetics, can solve problems such as the inability to guarantee real-time recognition of road conditions, and achieve the effect of overcoming real-time

Active Publication Date: 2015-10-21
HEBEI UNIV OF TECH
View PDF6 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide a road condition recognition method for lower limb prosthesis walking, which is an online recognition method, which can identify the road condition of a gait cycle

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
  • Road condition identifying method for lower limb prosthesis walking
  • Road condition identifying method for lower limb prosthesis walking
  • Road condition identifying method for lower limb prosthesis walking

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] The first step is to collect the devices and experimental road conditions used to collect the motion signals of the residual limbs of the tested persons:

[0049] The devices used to collect the movement signals of the stump of the tested person include the forefoot pressure sensor 2, the rear heel pressure sensor 3 and the inertial measurement unit module 1. The forefoot pressure sensor 2 is installed on the forefoot of the prosthetic foot, and the rear heel pressure sensor 3 is installed At the rear heel position of the prosthetic foot, the inertial measurement unit module 1 is installed at the socket position on the side of the residual limb, and the experimental road condition is flat ground;

[0050] The above two pressure sensors are selected from the A401 film pressure sensor produced by Shanghai Ruiruo Company. Both the forefoot pressure sensor 2 and the rear heel pressure sensor 3 belong to pressure sensors, which are essentially pressure-type membrane switches...

Embodiment 2

[0075] Except that the experimental road condition of the first step is going up stairs, other are the same as embodiment 1.

Embodiment 3

[0077] Except that the experimental road condition of the first step is going down stairs, other are the same as embodiment 1.

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 provides a road condition identifying method for lower limb prosthesis walking and relates to lower limb prostheses. The method comprises the steps of using a front sole pressure sensor, a rear heel pressure sensor and an inertial measurement unit module to collect residual end movement signal sample data of a tested person, experimental road conditions including flat ground, upward slope, downward slope, upward stairs and downward stairs; selecting the starting point of road condition identifying time; at the moment starting to use the inertial measurement unit to collect the residual end movement signal sample data of the tested person; determining the number for practical use of the collected residual end movement signal sample data; processing the collected and calculated residual end movement signal sample data; calculating the characteristic valve of the collected residual end movement signal sample data; training with an LVQ-ADABOOST classifier; realizing online identification of the road conditions in lower limb prosthesis walking. The problem that the offline road condition identifying method for lower limb prosthesis walking cannot guarantee the instantaneity of road condition identification is solved.

Description

technical field [0001] The technical solution of the present invention relates to a lower limb prosthesis, in particular to a road condition recognition method when the lower limb prosthesis is walking. Background technique [0002] As we all know, my country is the most populous country in the world. With such a huge population base, the number of disabled people is also very large. The Chinese government conducted two national sample surveys on disabled persons in 1987 and 2006. The results showed that the number of physically disabled persons increased from 7.55 million in 1987 to 24.12 million in 2006. With the intensification of globalization, frequent traffic accidents and natural disasters, this number is still increasing year by year. As far as the current medical level is concerned, there is no technical means to regenerate lost limbs. Therefore, for these physically disabled people, wearing prosthetic limbs is an important way for them to restore their ability to ...

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): A61F2/70A61B5/11A61B5/22
Inventor 张燕张浩淼周颖郜鑫
Owner HEBEI UNIV OF TECH
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap