Heart Diseases Diagnosis Using Intelligent Algorithm Based on PCG Signal Analysis

Mohammed Nabih-Ali, E. El-Dahshan, Ashraf S Yahia
{"title":"Heart Diseases Diagnosis Using Intelligent Algorithm Based on PCG Signal Analysis","authors":"Mohammed Nabih-Ali, E. El-Dahshan, Ashraf S Yahia","doi":"10.4236/CS.2017.87012","DOIUrl":null,"url":null,"abstract":"This paper presents an intelligent algorithm for heart diseases diagnosis using \nphonocardiogram (PCG). The proposed technique consists of four stages: \nData acquisition, pre-processing, feature extraction and classification. PASCAL \nheart sound database is used in this research. The second stage concerns with \nremoving noise and artifacts from the PCG signals. Feature extraction stage is \ncarried out using discrete wavelet transform (DWT). Finally, artificial neural \nnetwork (ANN) has been used for classification stage with an overall accuracy \n97%.","PeriodicalId":63422,"journal":{"name":"电路与系统(英文)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"电路与系统(英文)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.4236/CS.2017.87012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 28

Abstract

This paper presents an intelligent algorithm for heart diseases diagnosis using phonocardiogram (PCG). The proposed technique consists of four stages: Data acquisition, pre-processing, feature extraction and classification. PASCAL heart sound database is used in this research. The second stage concerns with removing noise and artifacts from the PCG signals. Feature extraction stage is carried out using discrete wavelet transform (DWT). Finally, artificial neural network (ANN) has been used for classification stage with an overall accuracy 97%.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于PCG信号分析的智能算法在心脏病诊断中的应用
提出了一种基于心音图(PCG)的心脏病智能诊断算法。该技术包括四个阶段:数据采集、预处理、特征提取和分类。本研究采用PASCAL心音数据库。第二阶段涉及去除PCG信号中的噪声和伪影。特征提取阶段采用离散小波变换(DWT)进行。最后,将人工神经网络(ANN)用于分类阶段,总体准确率达到97%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
273
期刊最新文献
Breast Cancer Detection Based on Multi-Slotted Patch Antenna at ISM Band Dual-Delay-Path Ring Oscillator with Self-Biased Delay Cells for Clock Generation Behavioral Model of Molecular Gap-Type Atomic Switches and Its SPICE Integration Ultrasound Needle Guidance System for Precision Vaccinations and Drug Deliver Drafting an Electrostatic Charge Control Plan for a Large Scale Scientific Instrument: Guidelines and a Case Study
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1