A Hand Tremor Signal and Audio Signal Classification Method Based on Evolutionary Fuzzy Rules

A hand tremor, audio signal technology, applied in the field of biomedicine, can solve the problem of poor interpretation of Parkinson's disease classification model

Active Publication Date: 2020-06-19
UNIV OF SCI & TECH BEIJING
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a hand tremor signal and audio signal classification method based on evolutionary fuzzy rules to solve the problem of poor interpretability of the Parkinson's disease classification model 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
  • A Hand Tremor Signal and Audio Signal Classification Method Based on Evolutionary Fuzzy Rules
  • A Hand Tremor Signal and Audio Signal Classification Method Based on Evolutionary Fuzzy Rules
  • A Hand Tremor Signal and Audio Signal Classification Method Based on Evolutionary Fuzzy Rules

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] see figure 1 As shown, a hand tremor signal and an audio signal classification method based on evolutionary fuzzy rules provided by the embodiment of the present invention include:

[0062] Step 101: Collect the physiological data of the tester, and obtain characteristic sample points representing Parkinson's disease and normal people according to the collected physiological data, and the physiological data are expressed as time series information;

[0063] Step 102: Construct an evolutionary fuzzy classifier based on the mined evolutionary fuzzy rules, and train the evolutionary fuzzy classifier according to the acquired characteristic sample points representing Parkinson's disease and normal people, and determine the evolutionary fuzzy classifier The classification threshold;

[0064] Step 103: collect the physiological data of the new tester, and obtain the number of sample points belonging to Parkinson's disease characteristics in the physiological data of the new ...

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 hand tremor signal and audio signal classification method based on evolutionary fuzzy rules, which can improve the interpretability of the evolutionary fuzzy classifier. The method includes: obtaining characteristic sample points representing Parkinson's disease and normal people according to the collected physiological data, the physiological data being expressed as time series information; constructing an evolutionary fuzzy classifier based on the mined evolutionary fuzzy rules, and Train the evolutionary fuzzy classifier according to the obtained characteristic sample points representing Parkinson's disease and normal people, and determine the classification threshold of the evolutionary fuzzy classifier; obtain new testers according to the constructed evolutionary fuzzy classifier The number of sample points belonging to Parkinson's disease characteristics in the physiological data. The invention is applicable to the technical field of biomedicine.

Description

technical field [0001] The invention relates to the technical field of biomedicine, in particular to a method for classifying hand tremor signals and audio signals based on evolutionary fuzzy rules. Background technique [0002] Parkinson's disease is a neurological dysfunction disease that seriously threatens the health and quality of life of middle-aged and elderly people. Clinically, the main symptoms are static tremor, slow movement, stiffness, unstable posture, and language barriers. Now the incidence is increasing year by year. High, very common, there is no cure, only control, so early diagnosis is very critical. Among the various manifestations of Parkinson's disease, language barrier is one of the typical symptoms of early Parkinson's disease, and about 90% of Parkinson's patients will have some degree of language barrier. [0003] In the prior art, for example, the speech signal of the tester is classified based on the support vector machine, and the diagnostic ac...

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): G16H50/20G06K9/62
CPCG16H50/20G06F18/23G06F18/2411G06F18/214
Inventor 王玲孙华
Owner UNIV OF SCI & TECH BEIJING
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