Heart sound analysis system based on probabilistic neural network model

A probabilistic neural network and analysis system technology, applied in the system field of heart sound processing and analysis, can solve the problems of misjudgment, low diagnostic efficiency, etc., and achieve the effects of fast establishment, simple learning process, and high efficiency of model construction

Inactive Publication Date: 2020-02-21
史沛然 +2
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional auscultation technology relies too much on the doctor's exper...

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 sound analysis system based on probabilistic neural network model
  • Heart sound analysis system based on probabilistic neural network model
  • Heart sound analysis system based on probabilistic neural network model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The present invention will be further described below in conjunction with accompanying drawing:

[0029] Such as figure 1 Shown, be the available collection circuit of the present invention, take mechanical stethoscope earpiece and electret microphone as signal collector, sensor, analog signal processing part carries out amplifying, filtering, plays storage and further in earphone, single-chip microcomputer, host computer computer deal with.

[0030] Such as figure 2 As shown, it is the specific algorithm flow of the analysis and processing after the signal collection of the present invention.

[0031] The heart sound signal preprocessing process first de-noises the data with a threshold value, and then performs five-layer wavelet decomposition on the heart sound signal. Since different wavelet decomposition coefficients represent signal information in different frequency bands, the low-frequency coefficients and the fourth and fifth layers of high-frequency coeffici...

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 heart sound analysis system based on a probabilistic neural network model. The system consists of a heart sound acquisition processing module and a heart sound intelligent analysis module, a hardware part comprises a heart sound acquisition circuit unit, and a software part comprises a heart sound processing unit, an automatic heart sound diagnosis unit and a data displayunit. The system can realize the automatic diagnosis of common heart diseases by collecting, processing and intelligently analyzing heart sound signals, provide people with health information and health advice, and can be used as hospital auxiliary diagnostic equipment.

Description

technical field [0001] The invention relates to the field of medical analysis, in particular to a heart sound processing and analysis system. Background technique [0002] According to the World Heart Federation's statistics on deaths worldwide, one-third of deaths are due to cardiovascular diseases, and 80% of those who die from cardiovascular diseases come from low- and middle-income countries or regions. Heart disease has become a "health killer" that cannot be ignored. Therefore, effective measures for the prevention and treatment of cardiovascular diseases are urgently needed. [0003] The clinical diagnosis of heart and cardiovascular diseases is divided into two categories: non-invasive and invasive. Non-invasive diagnosis (including impedance cardiography, apical beat, echocardiography, etc.) has problems in the accuracy, simplicity and stability of measurement , which limits its wide application; invasive diagnosis (including cardiovascular angiography and floatin...

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): A61B7/02G06K9/62
CPCA61B7/02G06F2218/04G06F2218/10G06F2218/12G06F18/214G06F18/24155
Inventor 史沛然李秋霖完晓妍
Owner 史沛然
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