期刊文献+

稀疏信号的盲源分离求解方法提取胎儿心电信号 被引量:4

A New Method of Extracting FECG by BSS of Sparse Signal
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摘要 心电信号是具有稀疏特性的信号,本文提出了用稀疏信号盲源分离求解的方法提取胎儿心电信号(FECG)。结合小波分析以及本文中提出的一种新方法——弭灭圆法,避免了因心电信号不是理想稀疏信号而对信源的可识别性造成的影响。仿真实验证明该方法是一种非常有效的方法。 The electrocardiograph signal presents the sparseness. In this paper, a new method of extracting the Fetal Electrocardiograph (FECG) is proposed, which uses the Blind Source Separation(BSS) of Sparse Signal. Both the Wavelet Analysis method and a new scheme named Vanish Circle are also involved in order to avoid the influence on the signal separation, because the ECG signals are not completed sparse signals. Some experiments show that the new method is effective.
出处 《生物医学工程学杂志》 EI CAS CSCD 北大核心 2009年第6期1206-1210,共5页 Journal of Biomedical Engineering
关键词 胎儿心电信号 盲源分离 稀疏信号 Fetal electrocardiograph(FECG) Blind source separation(BSS) Sparse signal
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参考文献7

  • 1COMOM P. Independent component analysis--a new concept. Signal Processing, 1994 : 287-314.
  • 2申丽岩,方滨,沈毅,王普.改进的ICA胎儿心电信号提取法[J].计算机仿真,2007,24(5):79-82. 被引量:7
  • 3MICHEL C M. EEG source imaging[J]. Clinical Neurophysiology, 2004, 115 : 2195-2222.
  • 4LEE W, LEWICKI M S, GIROLAMI M, et al. Blind source separation of more source than mixtures using overeomplete representations[J]. IEEE Signal Process Lett,1999, 6(4):87-90.
  • 5ZIBULEVSKY M,PEARMUTTER B A. Blind source separation by sparse decomposition in a signal dictionary[J]. Neural Computation, 2001,13 : 863-882.
  • 6GEORGIEV, PANDO, CICHOCKI, et al. Sparseness theorems and sparse representation of signals[J]. Nonlinear Analysis and Convex Analysis, 2003, 13(86):13-25.
  • 7吴正国,唐劲松等译.自适应盲信号与图象处理[M].北京:电子工业出版社,2005:224-231.

二级参考文献8

  • 1M G Jafari and J A Chambers.Fetal electrocardiogram extraction by sequential source separation in the wavelet domain[J].IEEE Trans.Biomed.Eng.,May 2005,52(3):390-400.
  • 2V Zarzoso and A K Nandi.Comparison between blind separation and adaptive noise cancellation techniques for fetal electrocardiogram extraction[J].Inst Elect.Eng.Colloq.Medical Applications for Sisal Processing,1999.1/1-1/6.
  • 3L De Lathauwer,D Callaerts,B De Moor and j Vandewalle.Fetal Electrocardiogram Extraction by Source Subspace Separation[C].Proc.IEEE SP/ATHOS Workshop on HOS,Girona,Spain,June1995.134-138.
  • 4L De Lathauwer,B De Moor and J Vandewalle.Fetal Eleetrocardiogram Extraction by Blind Source Subspace Separation[J].IEEE Transactions on Biomedical Engineering,MAY 2000,47(5).
  • 5P Comom.Independent component analysis--a new concept?[J].Signal Processing,1994,36:287-314.
  • 6A Hyvarinen.New approximations of differential entropy for independent component analysis and project pursuit[J].Advances in Neural Information Processing Systems,1998,10,MIT Press:273-279.
  • 7A Hyvarinen,E Oja.A fast fixed-point algorithm for independent component analysis[J].Neural Computation,1997,9(7):1483-1492.
  • 8张开兹,等.心电信息学[M].北京:科学技术文献出版社,1998

共引文献6

同被引文献29

  • 1王楠,杜博,张良培,胡文斌.基于约束独立成分分析的高光谱图像指纹提取[J].华中科技大学学报(自然科学版),2013,41(S2):162-166. 被引量:1
  • 2何昭水,谢胜利,傅予力.稀疏表示与病态混叠盲分离[J].中国科学(E辑),2006,36(8):864-879. 被引量:26
  • 3Xie Shengli Tan Beihai Fu Yuli.Blind signal separation of underdetermined mixtures based on clustering algorithms on planes[J].Progress in Natural Science:Materials International,2007,17(6):670-674. 被引量:2
  • 4HYVARNEN A, KARHUNEN J, OJA E. Independent component analysis[M]. New York: John Wiley & Sons, Inc, 2001:391-406.
  • 5CHEN S, DONOHO D, SAUNDERS M. Atomic decomposition by basis pursuit[J]. SLAMJ Sci. Comput., 1998 (1): 33-61.
  • 6ZIBULEVSKY M, PEARLMUTrER B A. Blind source separation by sparse decompositionin a signal dictionary[J]. Neural Computation, 2001, 13(4) :863-882.
  • 7LEE T W, LEWICKI M S, GIROLAMI M, et al. Blind source separation of more sources than mixtures using overcomplete representations[J]. IEEE Signal Process. Letter, 1999,6 (4) : 87-90.
  • 8BOFILL P, ZIBULEVSKY M. Underdetermined blind source separation using sparse representations [J]. Signal Process., 2001, 81 ( 11 ) : 2353-2362.
  • 9GEORGIEV P, JTHEIS F, CICHOCKI A. Sparse component analysis and blind source separation of underdetermined mixtures[J]. IEEE Trans. on Neural Network, 2005,16 (4) : 992-996.
  • 10谈华暠,刘海林.盲稀疏源信号分离算法的恢复性研究[J].广东工业大学学报,2007,24(3):28-31. 被引量:3

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