Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Fatigue level analysis method and device based on pulse characteristics

A technology of fatigue level, analysis method, applied in the medical field to achieve the effect of improving accuracy

Inactive Publication Date: 2017-05-24
SHENZHEN OUDMON TECH
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, in the prior art, there is no scheme for detecting and judging the degree of fatigue using the pulse signal
[0006] In summary, there is no portable, wearable fatigue detection device and accurate fatigue analysis method in the prior art

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
  • Fatigue level analysis method and device based on pulse characteristics
  • Fatigue level analysis method and device based on pulse characteristics
  • Fatigue level analysis method and device based on pulse characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] Embodiment 1 of the present invention provides the first preferred embodiment of the fatigue degree analysis method based on pulse characteristics, such as figure 1 Shown is the flow chart of the first embodiment of the fatigue degree analysis method based on pulse characteristics provided by the embodiment of the present invention.

[0051] refer to figure 1 , a method for analyzing the degree of fatigue based on pulse characteristics provided in this embodiment, the method includes the following steps:

[0052] A fatigue degree analysis method based on pulse characteristics, the method comprising:

[0053] S1. Train the classifier with the initial first pulse data to obtain a pulse data fatigue level classifier model, wherein the first pulse data includes a first fatigue level label;

[0054] S2. Predict the second fatigue level label corresponding to the newly collected second pulse data according to the pulse data fatigue level classifier model, and obtain the sec...

Embodiment 2

[0082] Embodiment 2 of the present invention provides a second preferred embodiment of the fatigue degree analysis method based on pulse characteristics, such as figure 2 Shown is the flow chart of the second embodiment of the pulse feature-based fatigue analysis method provided by the embodiment of the present invention.

[0083] refer to figure 2 , a kind of fatigue level analysis method based on pulse feature provided by the present embodiment, on the basis of above-mentioned embodiment 1, train classifier through initial first pulse data, obtain pulse data fatigue level classifier model including:

[0084] S11. Process the first pulse data according to a preset algorithm to obtain temporary pulse data;

[0085] S12, extracting the characteristics of the temporary pulse data;

[0086] S13. Integrate the features and their first fatigue level labels into a training set, and train a classifier through the training set to obtain classifier model parameters.

[0087] In th...

Embodiment 3

[0090] Embodiment 3 of the present invention provides the third preferred embodiment of the fatigue degree analysis method based on pulse characteristics, such as image 3 Shown is the flow chart of the third embodiment of the fatigue degree analysis method based on pulse characteristics provided by the embodiment of the present invention.

[0091] refer to image 3 , the present embodiment provides a fatigue degree analysis method based on pulse characteristics. On the basis of the above-mentioned embodiment 2, the first pulse data is processed according to a preset algorithm, and the temporary pulse data obtained includes:

[0092] S111. Convert the pulse time-domain signal in the first pulse data into a pulse frequency-domain signal through Fourier transform;

[0093] S112. Extract specific frequencies and their corresponding amplitudes from the pulse power spectrum, and classify the specific frequencies and their corresponding amplitudes.

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

An embodiment of the invention discloses a fatigue level analysis method and device based on pulse characteristics, wherein the method comprises: acquiring a pulse data fatigue level classifier model through an initial first pulse data training classifier, wherein first pulse data includes a first fatigue level label; predicting a second fatigue level label corresponding to newly collected second pulse data according to the pulse data fatigue level classifier so as to obtain the second fatigue level label; determining a fatigue level corresponding to the second fatigue level label according to the second fatigue level label. The fatigue level analysis method and device based on pulse characteristics can be carried out by a user to judge and measure the fatigue level quickly and conveniently; therefore, fatigue level measuring accuracy is improved, and a portable fatigue level measurer is brought for users.

Description

technical field [0001] The embodiments of the present invention relate to the field of medical technology, in particular to a fatigue degree analysis method and device based on pulse characteristics. Background technique [0002] In the prior art, since fatigue detection has the characteristics of many influencing factors and difficult definition, it becomes difficult to detect and judge fatigue in real time. [0003] At present, there are mainly two types of fatigue assessment methods: subjective assessment and objective assessment. Among them, the subjective evaluation method is carried out in the form of questionnaires, which is greatly affected by subjective factors; the objective evaluation method is to analyze work performance and physiological signals with the help of instruments and equipment. [0004] On the one hand, since the detection and analysis of fatigue usually requires professional fatigue detection equipment, the operation is complicated and the cost is h...

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): A61B5/02A61B5/16G06F19/00G06K9/00G06K9/62
CPCA61B5/02A61B5/165G16H50/30A61B5/7264A61B5/7267A61B5/7271G06F2218/14G06F2218/10G06F18/214
Inventor 萧伟杨术明中行潘岱
Owner SHENZHEN OUDMON 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
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