期刊文献+

应用Meyer小波消除ECG的基线漂移 被引量:2

Elimination of ECG Baseline Drift Using Meyer Wavelet
原文传递
导出
摘要 目的提出Meyer多分辨率逼近的新方法,消除心电信号基线漂移。方法带基线漂移的心电信号减去其在V9上的正交投影就基本消除了基线漂移。通过多分辨率逼近的数值分析,讨论了小波基的选择,正交投影的选择和数据长度的选择。对目前此类算法因缺少定量化分析方法而难以进行效果的比较,提出算法精度的定量化分析方法,构建算法效果比较的共同基础。结果应用算法于MIT-BIH数据库中具有严重基线漂移的心电数据,采用Meyer小波,带基线漂移的心电信号在V9上的正交投影和基线漂移的差异为(0.3±3.6)μV。结论应用Meyer小波在层次9上消除30 s左右ECG的基线漂移是合适的。 Objective To propose a new method of Meyer multi-resolution approximation for eliminating ECG baseline drift.Methods By subtracting the orthogonal projection on V9 from ECG with baseline drift,the baseline drift was removed.Under the numerical analysis of multi-resolution approximation,the selection of wavelets,the orthogonal projection and the data length were discussed.At present,it was difficult to compare the eliminating results of baseline drift by different methods.The quantitative analysis was introduced.Common basis of results comparison was set up.Results Applying the method to the serious baseline drift ECG data from MIT-BIH database,the difference between the orthogonal projection of ECG with baseline drift on V9 and baseline drift was(0.3±3.6)μV.Conclusion About 30 s of ECG baseline drift can be removed using Meyer wavelet at level 9.
出处 《航天医学与医学工程》 CAS CSCD 北大核心 2012年第1期46-49,共4页 Space Medicine & Medical Engineering
基金 国家自然科学基金(60872057) 浙江省自然科学基金(R1090244 Y1101237 Y1110944) 浙江省公益技术应用研究项目(2011C23132)
关键词 心电信号 多分辨率逼近 基线漂移 定量化分析 electrocardiogram multi-resolution approximation baseline drift quantitative analysis
  • 相关文献

参考文献8

  • 1Hargittai S.Efficient and fast ECG baseline wander reductionwithout distortion of important clinical information[C].In:Computers in Cardiology,2008.Bologna:IEEE Press,2007:841-844.
  • 2Weng BW,Blanco-Velasco M,Barner KE.Baseline wandercorrection in ECG by the empirical mode decomposition[C].Bioengineering Conference,2006.In:Proceedings of the IEEE32nd Annual Northeast.Easton:IEEE Press,2006:135-136.
  • 3张华,潘冬明,王立会.小波包变换在消除心电图基线漂移方面的研究[J].中国医学物理学杂志,2007,24(1):71-73. 被引量:5
  • 4Afsar FA,Riaz MS,Arif M.A Comparison of baseline removalalgorithms for electrocardiogram(ECG)based automated diag-nosis of coronory heart disease[C].In:Bioinformatics and Bio-medical Engineering,ICBBE 3rd International Conference.Bei-jing:IEEE Press,2009:1-4.
  • 5蔡兆文,陶进绪,杨振森.自适应提升小波用于心电信号除噪[J].中国生物医学工程学报,2007,26(4):633-636. 被引量:7
  • 6Shantha Selva Kumari R,Sadasivam V.Wavelet-based baseline wandering removal and R peak and QRS complex detection[J].International Journal of Wavelets,Multiresolution and In-formation Processing,2007,5(6):927-939.
  • 7侯宏花,桂志国.基于小波熵的心电信号去噪处理[J].中国生物医学工程学报,2010,29(1):22-28. 被引量:25
  • 8Stephane Mallat.信号分析的小波导引[M].北京:机械工业出版社,2002:179-188.

二级参考文献22

共引文献34

同被引文献12

引证文献2

二级引证文献8

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部