Intelligent heart sound diagnostic system and method based on in-depth learning

A technology of intelligent diagnosis and deep learning, applied in the field of heart sound intelligent diagnosis system based on deep learning, can solve the problems of rising prevalence of cardiovascular diseases, low accuracy of traditional heart sound analysis, and shortage of professional medical resources, etc. The effect of improving accuracy and diagnostic effect

Active Publication Date: 2018-01-02
CHONGQING UNIV OF POSTS & TELECOMM
View PDF6 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The invention aims to solve the problems of rising prevalence of cardiovascular diseases, shortage of professional medical resources, and low accuracy of traditional heart sound analysis.

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
  • Intelligent heart sound diagnostic system and method based on in-depth learning
  • Intelligent heart sound diagnostic system and method based on in-depth learning
  • Intelligent heart sound diagnostic system and method based on in-depth learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0038] The technical scheme that the present invention solves the problems of the technologies described above is:

[0039] The main program of the system is as figure 1 . The theme idea embodies the idea of ​​intelligent diagnosis, diagnosis process without professional doctor's intervention, and data storage and data calculation in cloud server. The main functions are to collect a period of time or collect real-time heart sound data, convert the sound into a digital signal, and transmit the converted data to the cloud server through the Internet or mobile network; 2) The cloud server is mainly used for storage and file uploading by users The heart sound data and the heart sound database used to train ...

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 intelligent heart sound diagnostic system and method based on in-depth learning and relates to the fields of bio-signal processing, pattern recognition, big data and in-depth learning. The method comprises the following steps: 1) acquiring heart sound audio data by a user through heart sound acquisition equipment or intelligent wearable equipment; 2) transmitting the data to a cloud server through a network, and storing and archiving the heart sound audio data; 3) segmenting the heart sound data on the cloud server by adopting a heart sound segmentation algorithm based on a logistic regression-hidden semi-Markov model, and performing automatic characteristic extraction and classification on the segmented heart sound data by using a one-dimensional convolutional neural network; 4) feeding diagnostic results to the user through a network and storing the results on a cloud so as to be provided for related institutions and designated hospitals as clinical historyreference of the user; and 5) expanding the heart sound data of the user confirmed by a professional doctor serving as training data into a heart sound database of a cloud server, so that the diagnostic capability of the heart sound diagnostic system is continuously improved.

Description

technical field [0001] The invention belongs to the technical fields of biological signal processing, pattern recognition, big data, deep learning, etc., and specifically belongs to a heart sound intelligent diagnosis system and method based on deep learning. Background technique [0002] At present, cardiovascular and cerebrovascular diseases have become the first cause of death among Chinese residents, accounting for more than 40% of the total death toll. Among them, cardiovascular diseases have become a major category of diseases that seriously threaten the health of Chinese residents. According to the "China Cardiovascular Report 2015", the prevalence of cardiovascular diseases is on the rise. At present, it is estimated that there are 290 million cardiovascular disease patients nationwide, including 270 million with hypertension, at least 7 million with stroke, and 2.5 million with myocardial infarction. The number of sudden cardiac deaths in the country is as high as ...

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 Applications(China)
IPC IPC(8): G06F19/00G06K9/62
Inventor 肖斌徐韵秋李伟生王国胤
Owner CHONGQING UNIV OF POSTS & TELECOMM
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