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

Early warning analysis method for tendon anisotropic stress injury based on real-time sports data acquisition

A technology for real-time collection and motion data, applied in data processing applications, instruments, resources, etc., can solve problems such as tendon injuries, unreasonable training volume, and wrong actions

Inactive Publication Date: 2018-09-14
DALIAN UNIV OF TECH
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Especially in the field of basic training for young athletes, due to the lack of scientific and quantitative guidance based on real-time collection of sports data and real-time analysis of sports force, wrong movements and unreasonable training volume will cause tendon abnormal force. tendon injury, so many elite athletes have to withdraw from the training ground

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
  • Early warning analysis method for tendon anisotropic stress injury based on real-time sports data acquisition
  • Early warning analysis method for tendon anisotropic stress injury based on real-time sports data acquisition
  • Early warning analysis method for tendon anisotropic stress injury based on real-time sports data acquisition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The present invention will be further described below in conjunction with accompanying drawing.

[0039] Such as figure 1 As shown, a method for early warning and analysis of tendon abnormal stress injury with real-time collection of motion data includes the following steps:

[0040] Step 1. Build a joint anisotropic force analysis model. The movement direction and movement angle of each joint of the human body are limited by the physiological constraints of bones and tendons. Quantitatively analyze the movement direction, position and physiological limitations of the limbs by building a model. Specifically include the following sub-steps:

[0041] (a) Define the upstream and downstream relationship and coordinate system of the limbs. A person standing upright on the ground can be regarded as 16 rigid body models, specifically the chest, abdomen, hip, head, left and right upper arms, left and right forearms, left and right thighs, and left and right calves , hands, an...

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 an injury early warning analysis method. The early warning analysis method for tendon anisotropic stress injury based on real-time sports data acquisition comprises the following steps: (1) joint anisotropic stress analysis model construction; (2) joint anisotropic stress boundary description; (3) practical calibration of the joint anisotropic stress boundary; (4) anisotropic stress judgment in the joint movement process; (5) joint anisotropic stress alarm judgment. The early warning analysis method provided by the invention has the benefits that joint upstream and downstream attitude data is measured in real time through a wearable sensor, key joint anisotropic stress data is calculated, the overrun, the amplitude and the number of a sportsman in the training process are calculated and judged according to the joint sports space limit of the joint anisotropic stress analysis model, and an alarm judgment on anisotropic stress is given; therefore, the sports injury of the sportsman during training is defectively reduced.

Description

technical field [0001] The present invention relates to an injury early warning analysis method, and more specifically, relates to an early warning analysis method of tendon anisotropic stress injury with real-time collection of motion data. Background technique [0002] In professional sports training, sports injury is an unreasonable training method. The wrong training mode will cause athletes to be injured in light cases, and in severe cases will cause athletes to end their sports career. At present, many sports training subjects are taught by the coaches' precepts and deeds. The coaches guide the athletes' training based on visual inspection and experience. Especially in the field of basic training for young athletes, due to the lack of scientific and quantitative guidance based on real-time collection of sports data and real-time analysis of sports force, wrong movements and unreasonable training volume will cause tendon abnormal force. Tendon injuries caused many elit...

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 Applications(China)
IPC IPC(8): G16H20/30G06Q10/06
CPCG06Q10/0635G16H20/30
Inventor 王孝良李晓辰王东奇王英洁
Owner DALIAN UNIV OF TECH
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