心脏瞬时频率(HIF)的估计和功率谱分析——一种小波方法

T. Ravichandran, M. R. Reddy, A. Avudainayagam
{"title":"心脏瞬时频率(HIF)的估计和功率谱分析——一种小波方法","authors":"T. Ravichandran, M. R. Reddy, A. Avudainayagam","doi":"10.1109/TENCON.2003.1273319","DOIUrl":null,"url":null,"abstract":"Investigation of heart rate variability (HRV) has been the subject of considerable interest in the management of cardiac arrhythmia. Digital signal processing using instantaneous frequency and multiresolution analysis (Daubechies (db4) wavelet transforms) has been applied to estimate HRV without R point detection. The proposed method requires less memory for long term analysis as the ECG was measured with only 4 Hz sampling. Such a saving in memory makes it especially convenient to apply for long term analysis. The analysis of HRV using wavelet transforms was found to be very effective over conventional IIR filters. The sensitivity of the LF/HF ratio parameter increases with the Daubeches (db) based wavelet filter.","PeriodicalId":405847,"journal":{"name":"TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Estimation and power spectral analysis of heart instantaneous frequency (HIF) - a wavelet approach\",\"authors\":\"T. Ravichandran, M. R. Reddy, A. Avudainayagam\",\"doi\":\"10.1109/TENCON.2003.1273319\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Investigation of heart rate variability (HRV) has been the subject of considerable interest in the management of cardiac arrhythmia. Digital signal processing using instantaneous frequency and multiresolution analysis (Daubechies (db4) wavelet transforms) has been applied to estimate HRV without R point detection. The proposed method requires less memory for long term analysis as the ECG was measured with only 4 Hz sampling. Such a saving in memory makes it especially convenient to apply for long term analysis. The analysis of HRV using wavelet transforms was found to be very effective over conventional IIR filters. The sensitivity of the LF/HF ratio parameter increases with the Daubeches (db) based wavelet filter.\",\"PeriodicalId\":405847,\"journal\":{\"name\":\"TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TENCON.2003.1273319\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCON.2003.1273319","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

心率变异性(HRV)的研究一直是心律失常治疗中备受关注的课题。利用瞬时频率和多分辨率分析(Daubechies (db4)小波变换)的数字信号处理已被应用于估计HRV,而不需要R点检测。由于该方法仅以4 Hz采样测量心电图,因此对长期分析需要较少的内存。这样的内存节省使得应用长期分析特别方便。使用小波变换的HRV分析被发现比传统的IIR滤波器非常有效。基于Daubeches (db)的小波滤波器提高了低频/高频比参数的灵敏度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation and power spectral analysis of heart instantaneous frequency (HIF) - a wavelet approach
Investigation of heart rate variability (HRV) has been the subject of considerable interest in the management of cardiac arrhythmia. Digital signal processing using instantaneous frequency and multiresolution analysis (Daubechies (db4) wavelet transforms) has been applied to estimate HRV without R point detection. The proposed method requires less memory for long term analysis as the ECG was measured with only 4 Hz sampling. Such a saving in memory makes it especially convenient to apply for long term analysis. The analysis of HRV using wavelet transforms was found to be very effective over conventional IIR filters. The sensitivity of the LF/HF ratio parameter increases with the Daubeches (db) based wavelet filter.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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