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

Heart disease automatic classification system based on heart sound analysis and heart sound segmentation method

An automatic classification, heart disease technology, applied in the fields of medical science, auscultation instruments, diagnosis, etc., can solve the problems of inaccurate segmentation boundaries and high segmentation error rate.

Inactive Publication Date: 2006-10-25
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
View PDF0 Cites 55 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This algorithm only performs segmentation according to the characteristics of the heart sound itself, without other assistance; the disadvantage is that the segmentation error rate is large, and the segmentation boundary is not accurate

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
  • Heart disease automatic classification system based on heart sound analysis and heart sound segmentation method
  • Heart disease automatic classification system based on heart sound analysis and heart sound segmentation method
  • Heart disease automatic classification system based on heart sound analysis and heart sound segmentation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

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

[0039] refer to figure 1 , the heart sound automatic classification system based on heart sound analysis includes: a heart sound sensor 1, which is used to convert the heart sound vibration signal of the subject into an electrical signal for output, and the heart sound sensor 1 can be a microphone or a piezoelectric sensor; The computer 2 with multimedia function, it is connected with described heart sound sensor 1 by data acquisition card 21, the heart sound signal of the person under test that heart sound sensor 1 outputs is recorded and stored in storage unit; And, be installed in the described computer , the heart sound segmentation program, the CPU of the computer runs the heart sound segmentation program, accesses the heart sound signal in the storage unit, and divides the heart sound signal of a cardiac cycle into four sections: the first heart sound, systole, s...

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 present invention relates to a heart disease automatic classification system based on heart sound analysis. It includes the following several portions: heart sound sensor, it is used for converting heart sound vibration signal of tested person into electric signal and outputting said electric signal; computer with multimedia function, it is connected with heart sound sensor by means of data acquisition card and can be used for recording the heart sound signal of tested person which is outputted by heart sound sensor and storing said signal in storage unit; and heart sound sectionalization program, heart sound characteristics extraction program and classification device which are mounted in the computer. Said invention also provides its working principle and its concrete operation method.

Description

technical field [0001] The invention relates to the field of automatic classification of heart disease, in particular to an automatic classification system for heart disease based only on heart sound analysis, which helps popularize heart sound auscultation in low-level hospitals and community medical care. Background technique [0002] Clinically, the use of new technologies such as echocardiography, color Doppler ultrasound, CT, and MRI enables doctors to obtain more direct and accurate diagnostic evidence than cardiac auscultation. However, because these devices are expensive, bulky and complicated to operate, they are not conducive to popularization in low-level hospitals and community medical care. [0003] On the other hand, heart sounds can effectively reflect the heart, especially the valve activity and blood flow conditions. For example, the closure of the atrioventricular valve is the main factor that produces the first heart sound, and the main component that prod...

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): A61B7/00
Inventor 叶大田陈萌辉郑燕娇
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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