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

Exercise fatigue detection method and system based on wearable equipment

A technology of sports fatigue and wearable equipment, applied in the field of computer science, can solve the problems of single feature, not taking into account the characteristics of frequency domain and nonlinear domain, and the accuracy of fatigue detection needs to be improved, so as to achieve the effect of improving the accuracy

Active Publication Date: 2021-07-09
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
View PDF10 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The features extracted by this method are relatively simple, and only the mean, standard deviation, difference between the maximum value and the minimum value, the mean value of the first-order difference signal, and the standard deviation of the first-order difference signal are extracted in the time domain, and the frequency domain is not considered. and features on nonlinear domains
[0006] To sum up, the existing sports fatigue detection methods are relatively simple, do not comprehensively extract fatigue-related features, and do not consider the correlation between input features and fatigue state, and the accuracy of fatigue detection needs to be improved

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
  • Exercise fatigue detection method and system based on wearable equipment
  • Exercise fatigue detection method and system based on wearable equipment
  • Exercise fatigue detection method and system based on wearable equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangements of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.

[0029] The following description of at least one exemplary embodiment is merely illustrative in nature and in no way taken as limiting the invention, its application or uses.

[0030] Techniques, methods and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such techniques, methods and devices should be considered part of the description.

[0031] In all examples shown and discussed herein, any specific values ​​should be construed as exemplary only, and not as limitations. Therefore, other instances of the exemplary embodiment may have dif...

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 an exercise fatigue detection method and system based on wearable equipment. The method comprises the following steps: extracting R waves and calculating an RR interval sequence for electrocardiosignals collected by wearable equipment in a movement process; conducting heart rate variability analysis on the RR interval sequence, and extracting heart rate variability time domain features, heart rate variability frequency domain features, heart rate variability time-frequency domain features and heart rate variability nonlinear features; screening out an optimized feature set according to one or more of independence, correlation degree, importance degree and redundancy between the features and the fatigue state; and constructing a training set by using the optimized feature set, training a classifier, obtaining a classification model used for detecting the fatigue state, and each sample of the training set reflecting a corresponding relation between a group of optimized features and fatigue state levels. According to the invention, the efficiency and accuracy of exercise-induced fatigue detection can be improved.

Description

technical field [0001] The present invention relates to the technical field of computer science, and more specifically, to a wearable device-based exercise fatigue detection method and system. Background technique [0002] With the enhancement of people's health awareness, more and more people begin to pay attention to and try to deal with sub-health status. The rise of aerobic sports such as marathons, outdoor hiking, cycling, and yoga in recent years stems from people's increasing emphasis on health. Scientific and reasonable exercise has many benefits to human health, including reducing the risk of depression, improving sleep quality, improving immunity, improving cardiovascular health, reducing obesity, and reducing the occurrence of other lifestyle-related risk factors. However, improper exercise is not only bad for health but also may cause harm to human body. Scientific and reasonable exercise includes scientific exercise time, exercise frequency, exercise intensity...

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): A61B5/318A61B5/352A61B5/363A61B5/366A61B5/024A61B5/00
CPCA61B5/7267A61B5/6802A61B5/02438A61B5/02405
Inventor 孙方敏李烨倪志强
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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