Skip to main content
SpringerLink
Log in
Book cover

International Symposium on Neural Networks

ISNN 2006: Advances in Neural Networks - ISNN 2006 pp 734–739Cite as

Analysis of Multifibre Renal Sympathetic Nerve Recordings

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3973))

Abstract

Multifibre renal sympathetic nerve activity (RSNA) recordings represent a nonlinear dynamic system with high dimensionality. In this paper, an effort has been made to effectively remove noises and reduce the dynamics of the multifibre RSNA signals to a simpler form. For this purpose, an improved cluster method combined with the wavelet-transform-based denoising approach is proposed. The outcomes of the present work show that wavelet denoising approach is a useful tool for analyzing multifibre RSNA in rats. Furthermore, compared to the original algorithm of the cluster method, the improved one reduces some aspects of bias.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   119.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Zhang, T., Johns, E.J.: Chaotic Characteristics of Renal Nerve Peak Interval Sequence in Normotensive and Hypertensive Rats. Clin. Exp Pharmacol Physiol. 25(11), 896–903 (1998)

    Article  Google Scholar 

  2. Stauss, H.M., Persson, P.B., Johnson, A.K., Kregel, K.C.: Frequency-Response Characteristics of Autonomic Nervous System Function in Conscious Rats. Am. J. Physiol. 273, H786–95 (1997)

    Google Scholar 

  3. Persson, P.B., Ehmke, H., Kirchheim, H.R.: Autoregulation and Nonhomeostatic Behavior of Renal Blood Flow in Conscious Dogs. J. Physiol-London 462, 261–273 (1993)

    Google Scholar 

  4. Zhang, T., Johns, E.J.: Somatosensory Influence on Renal Sympathetic Nerve Activity in Anaesthetised Wistar and Hypertensive Rats. Am. J. Physiol. 272, R982–R990 (1997)

    Google Scholar 

  5. Yang, Z., Zhang, T., Coote, J.H.: Synchrony Analysis between Blood Pressure and Sympathetic Nerve Signal Inhibited by Atrial Receptor Stimulation in Wistar Rats. Exp. Physiol. 87, 461–468 (2002)

    Google Scholar 

  6. Richman, J.S., Moorman, J.R.: Physiological Time-Series Analysis Using Approximate Entropy and Sample Entropy. Am. J. Physiol. 278, H2039–H2049 (2000)

    Google Scholar 

  7. Mallat, S.: A Theory for Multiresolution Signal Decomposing: the Wavelet Representation. IEEE Trans Pattern Anal Machine Intell 11(7), 674–693 (1989)

    Article  MATH  Google Scholar 

  8. Mallat, S., Hwang, W.L.: Singularity Detection and Processing with Wavelet. IEEE Trans Inform Theory 38(2), 617–643 (1992)

    Article  MathSciNet  Google Scholar 

  9. Donoho, D.L.: De-Noising by Soft-Thresholding. IEEE Trans on Inform Theory 41(3), 613–627 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  10. Xu, Y., Weaver, J.B., Healy Jr., D.M., Lu, J.: Wavelet Transforms Domain Filters: A Spatially Selective Noise Filtration Technique. IEEE Transaction on Image Processing 3(6), 747–758 (1994)

    Article  Google Scholar 

  11. Malpas, S.C., Ninomiya, I.: A New Approach to Analysis of Synchronized Sympathetic Nerve Activity. Am. J. Physiol. 263, H1311–H1317 (1992)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Key Lab of Bioactive Materials, Ministry of Education and College of Life Science, Nankai University, Tianjin, 300071, P.R. China

    Dong Li, Yingxiong Jin & Tao Zhang

  2. College of Medicine Science, Nankai University, Tianjin, 300071, P.R. China

    Zhuo Yang

Authors
  1. Dong Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yingxiong Jin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zhuo Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Tao Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd, 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Li, D., Jin, Y., Yang, Z., Zhang, T. (2006). Analysis of Multifibre Renal Sympathetic Nerve Recordings. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191_108

Download citation

  • DOI: https://doi.org/10.1007/11760191_108

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34482-7

  • Online ISBN: 978-3-540-34483-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation