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基于Hilbert-Huang变换的ECG消噪 被引量:18

ECG De-noising Based on Hilbert-Huang Transform
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摘要 提出一种基于Hilbert-Huang变换的ECG消噪方法,该方法对含噪ECG进行经验模态分解,对分解后的IMF进行Hilbert频谱分析,然后根据ECG信号噪声特点对三种主要噪声分别消噪.工频干扰和高频噪声主要存在于ECG的低阶IMF中,而基线漂移主要存在于ECG的高阶IMF中,对低阶IMF采用基于自适应阈值的形态学滤波方法进行消噪,对高阶IMF采用平滑滤波法进行基线漂移估计.仿真实验和实际应用结果表明该方法优于小波消噪法,不仅对三种主要噪声具有较好的抑制作用,还能很好的保留ECG波形特征. A method for ECG de-noising based on Hilbert-Huang Transform has been proposed.ECG was analyzed by the Hilbert spectrum of the IMF,which was produced by the Empirical mode decomposition method.The three main noises were respectively removed according to the characteristics of noises.Power line interference and high frequency noises were mainly mixed into the low IMF of ECG,while baseline wander noises were mainly mixed into the high IMF.The morphological filter method based on adaptive threshold was used in the low IMF for de-noising,while baseline wander was estimated by the smooth filter in the high IMF of ECG.The results of simulation experiment and practical application demonstrate that the method proposed in this paper performs better than wavelet de-noising method significantly,not only in suppressing the three mainly noises effectively,but also in preserving the primary characteristics of ECG signal.
出处 《电子学报》 EI CAS CSCD 北大核心 2011年第4期819-824,共6页 Acta Electronica Sinica
基金 中国航天医学工程预先研究项目(No.SJ200903 No.SJ201006)
关键词 HILBERT-HUANG变换 经验模态分解 固有模态函数 心电图 消噪 形态学滤波 Hilbert-Huang transform empirical mode decomposition intrinsic mode function ECG de-noising morphological filter
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参考文献10

  • 1李惠军,胡广书,周礼杲.心电信号的实时数字预处理[J].航天医学与医学工程,1989,2(4):253-275. 被引量:3
  • 2毛玲,孙即祥,张国敏.基于形态学运算和自适应阈值的心电信号消噪[J].信号处理,2009,25(1):6-10. 被引量:9
  • 3Lander P,Berbari E J. Time-frequency plane wiener filtering of the high-resolution ECG: development and application[J].IEEE Trans Biomed Eng,2007,44(4) :256 - 265.
  • 4Sameni R, ShamsoUahi M B, Jutten C, et al. Filtering noisy signals using the extended Kalman filter based on a modified dynamic ECG model[ A]. Proceedings of the 32nd Annual International Conference on Computers in Cardiology[ C]. Lyon,France,2005. 1017- 1020.
  • 5Sahakian A V,Furno G F.An adaptive filter for distorted linefrequency noise[J].Bimed SCi Instrum, 1983,19-47- 52.
  • 6Donoho D L.De-noising by sofi-thresholding[J]. IEEE Transactions on Infomaafion Theory. 1995,41 (3) : 613 - 627.
  • 7蔡坤,陆尧胜.基于中值滤波的心电基线校正方法的研究[J].中国医疗设备,2004,22(2):5-7. 被引量:19
  • 8Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and the Hilbert spectrum for non-linear and nonstationary lime series analysis[J] .Proc R Soc London,A( 1998), 454: 903 - 995.
  • 9高清维,李海鹰,庄镇泉,王涛.基于平稳小波变换的心电信号噪声消除方法[J].电子学报,2003,31(2):238-240. 被引量:52
  • 10Sun Y,Chan K L,Krishnan S M.ECG Signal conditioning by morphological filtering [ J ]. Computers in Biology and Medicine,2002,32(6) :465 - 479.

二级参考文献17

  • 1季虎,孙即祥,毛玲.基于小波变换与形态学运算的ECG自适应滤波算法[J].信号处理,2006,22(3):333-337. 被引量:25
  • 2Sun Y, Chan KL, Krishnan SM. ECG Signal Conditioning By Morphological Filtering [J]. Computers in Biology and Medicine, 2002,32 (6) : 465 - 479.
  • 3M. L. Ahlstrom, W. J. Tompkins. Digital Filters for Real- Time ECG Signal Processing Using Microprocessors [ J ]. IEEE Transactions on Biomedical Engineering, 1985,32 (9) :708-713.
  • 4P. S. Hamilton. A comparison of adaptive and non-adaptive filters for reduction of power line interference in the ECG [ J]. IEEE Transactions on Biomedical Engineering, 1996, 43 : 105-109.
  • 5B. N. Singh, A. K. Tiwari. Optimal selection of wavelet basis function applied to ECG signal denoising [ J ]. Digital Signal Processing ,2006,16:275-287.
  • 6C. H. Chu and E. J. Delp. Impulsive noise suppression and background normalization of electrocardiogram signals using morphological operators [ J ]. IEEE Transactions on Biomedical Engineering.1989.36(2) :262-273.
  • 7S Guangming, L Xiaoping, J Licheng, Z Wei. Adaptive wavelet thresholding for time varying SNR signal denoising [ J]. IEEE International Symposium on Circuits and Systems, ISCAS 2002,2002,4: 827- 829.
  • 8Donoho D L. De-noising by Soft Thresholding [ J ]. IEEE Transactions on Information,Theory, 1995,41 (3) :613-627.
  • 9[2]Sheffield LT, Berson CA, Remschel DB, et al. Recommendations for standard of instrumentation and practice in the use of ambulstory electrocardiography [J]. Circulation, 1985, (3):626- 636.
  • 10M L Ahlstrom.W J Tompkins.Digital filters for real-time ECG signal processing using microprocessors[J].IEEE Transaction on Biomedical engineering,1985,32(9):708—713.

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