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

A Heart Sound Type Recognition Method Based on Improved MFCC

A type recognition and heart sound technology, applied in the field of signal processing, can solve the problems of abnormal heart sound signal classification and recognition, the classification is not precise, and the recognition accuracy needs to be further improved, so as to achieve the effect of high recognition accuracy and effective recognition.

Active Publication Date: 2017-10-03
SICHUAN CHANGHONG ELECTRIC CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, the classification and recognition function of heart sounds is limited to distinguish between normal and abnormal heart sound signals, and does not carry out more detailed classification and recognition of abnormal heart sound signals, so the classification is not yet refined, and the accuracy of recognition needs to be further 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
  • A Heart Sound Type Recognition Method Based on Improved MFCC

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0030] Embodiment: a kind of heart sound type recognition method based on improved MFCC comprises the following steps:

[0031] The first step. Heart sound signal preprocessing;

[0032] A1. Resampling the received heart sound data;

[0033] A2. Carry out Butterworth low-pass filtering to the resampled signal;

[0034] A3. Denoise the filtered heart sound signal.

[0035] Wherein, step A1 performs 5-point resampling on the received heart sound signal, and the sampling frequency is 2205 Hz;

[0036] Step A2 filters the resampled signal, setting the maximum passband attenuation to 3db, and the stopband minimum attenuation to 18db; step A3 uses wavelet transform to denoise the filtered heart sound signal, using dmey wavelet.

[0037] The second step. Autocorrelation segmentation of heart sound signal;

[0038] B1. Calculate the mean value of the amplitude of the heart sound data after denoising;

[0039] B2. setting parameter: after resampling, the minimum number of points 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 invention discloses an MFCC heart sound type recognition method based on an improvement. The method includes the following steps of firstly, preprocessing heart sound signals; secondly, segmenting the heart sound signals in a self-correlation mode; thirdly, conducting the MFCC extraction algorithm of the heart sound signals; fourthly, training and recognizing the heart sound signals. Compared with the prior art, the method has the advantages that by improving the cepstrum domain parameter, namely, the MFCC, the deep information capable of representing heart sound features of different types is extracted, normal heart sound signals and several types of abnormal heart sound signals are effectively recognized, the recognition accuracy is high, and the method is quite suitable for clinically assisting in diagnosing cardiovascular diseases.

Description

technical field [0001] The invention relates to an unsteady periodic signal identification method in the technical field of signal processing, in particular to an improved MFCC-based heart sound type identification method. Background technique [0002] As a vibration signal generated by the mechanical movement of the heart and great blood vessels, heart sound is one of the most important physiological signals of the human body. Before cardiovascular disease develops enough to produce clinical and pathological changes, some important pathological information will appear in heart sounds, which are characteristically reflected in many diseases, which is very important for the diagnosis and estimation of cardiovascular disease. is very meaningful. Therefore, heart sound analysis is an important means of non-invasive detection of cardiovascular diseases, and has become one of the effective methods for clinical auxiliary diagnosis of such diseases. [0003] In the prior art, the...

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): A61B5/00
CPCA61B5/00A61B5/7203A61B5/725A61B5/7267
Inventor 梁庆真彭晶周杨万潇张雅勤刘传银
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
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