Abnormal heart sound recognition method and device based on multi-scale attention neural network

A recognition method and neural network technology are applied in the field of abnormal heart sound recognition methods and devices, which can solve the problem of heart sound analysis relying on doctor's experience and low accuracy, and achieve the effects of accurate heart sound auscultation results, good expressiveness, and improved diversity.

Pending Publication Date: 2020-12-04
BEIJING AIRDOC TECH CO LTD
View PDF0 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an abnormal heart sound recognition method and device based on a multi-scale attention neura

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
  • Abnormal heart sound recognition method and device based on multi-scale attention neural network
  • Abnormal heart sound recognition method and device based on multi-scale attention neural network
  • Abnormal heart sound recognition method and device based on multi-scale attention neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0034]It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude one or more other Presence or addition of characteristics, wholes, steps, operations, elements, components and / or collections.

[0035] In order t...

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 an abnormal heart sound recognition method and device based on a multi-scale attention neural network. The method comprises the steps of: carrying out preprocessing on collectedoriginal heart sound signals, and enabling the preprocessed heart sound signals to serve as training samples; carrying out heart sound quality labeling on the training samples; training an abnormal heart sound recognition model according to the training samples and the labeling content of the training samples; and inputting to-be-detected heart sound data into the trained abnormal heart sound recognition model to obtain a heart sound quality prediction result, and recognizing abnormal heart sounds according to the heart sound quality prediction result. Heart sound signals are objectively andquantitatively analyzed, so that the heart sound auscultation result is more accurate, and a doctor can be more effectively assisted in heart sound recognition and diagnosis.

Description

technical field [0001] The invention relates to the technical field of disease screening, in particular to a method and device for identifying abnormal heart sounds based on a multi-scale attention neural network. Background technique [0002] Congenital heart disease accounts for 26.7% of all birth defects. It is the first birth defect in my country and the number one cause of neonatal death in my country. The incidence of congenital heart disease in China is also increasing year by year. The "China Birth Defects Prevention Report 2012" shows that the incidence of congenital heart disease in 2011 was 3.56 times that of 2010. Obviously, timely and efficient screening of newborns for congenital heart disease becomes urgent. Effective screening means to achieve early detection, early diagnosis, and timely treatment. [0003] At present, heart sound auscultation is still the main effective method for early screening of cardiovascular disease (CVD). Determining the patient's ...

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): G06K9/62G06N3/04G06N3/08A61B7/04
CPCG06N3/08A61B7/04G06N3/045G06F18/2414G06F18/253
Inventor 孙锟王旭英王景涛周欣李显红张耀
Owner BEIJING AIRDOC TECH CO LTD
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