Medical Signal Decomposition Analysis by Means of Continuous Wavelet Transform

Wei Wu, Min Huang
{"title":"Medical Signal Decomposition Analysis by Means of Continuous Wavelet Transform","authors":"Wei Wu, Min Huang","doi":"10.1109/BMEI.2009.5305229","DOIUrl":null,"url":null,"abstract":"This paper proposes a novel approach for medical signal decomposition analysis by using Continue Wavelet Transform (CWT) instead of Discrete Wavelet Transform (DWT) through specialized software. A respiration signal from MIT- BIH Minic Database is analyzed by this approach and by DWT, indicating that decomposing signal by CWT not only gives all the information that DWT gives, but also demonstrates the signal wavelet coefficients evolution in spectra, and decomposes signal into wavelet space by scaling spectrum instead of decomposes signal according to mathematical algorithm.","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 2nd International Conference on Biomedical Engineering and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMEI.2009.5305229","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper proposes a novel approach for medical signal decomposition analysis by using Continue Wavelet Transform (CWT) instead of Discrete Wavelet Transform (DWT) through specialized software. A respiration signal from MIT- BIH Minic Database is analyzed by this approach and by DWT, indicating that decomposing signal by CWT not only gives all the information that DWT gives, but also demonstrates the signal wavelet coefficients evolution in spectra, and decomposes signal into wavelet space by scaling spectrum instead of decomposes signal according to mathematical algorithm.
基于连续小波变换的医疗信号分解分析
本文提出了一种利用连续小波变换(CWT)代替离散小波变换(DWT)的医学信号分解分析新方法。利用该方法和小波变换对来自MIT- BIH Minic数据库的呼吸信号进行了分析,结果表明,CWT分解信号不仅能得到小波变换所能得到的全部信息,而且能很好地体现信号小波系数在谱中的演化过程,并通过谱的缩放将信号分解到小波空间中,而不是按照数学算法对信号进行分解。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信