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Bio-Impedance Signal Decomposer (BISD) as an Adaptive Signal Model Based Separator of Cardiac and Respiratory Components

  • Andrei Krivoshei
  • Vello Kukk
Part of the IFMBE Proceedings book series (IFMBE, volume 17)

Abstract

The paper presents the Bio-Impedance Signal Decomposer (BISD) for adaptive separation of two infra-low frequency signals: cardiac and respiratory bio-impedance (BI) signals, which are the time varying components of the total electrical BI signal. The adaptively tuneable cardiac BI signal model (CBISM), constructed from components of a specially designed orthonormal basis is the key element of the proposed BISD. If combined with the signal-shape locked loop (SSLL) concept, this allows an on-line decomposition of a BI signal into its cardiac and respiratory components with partially overlapping spectra. The proposed BISD is currently designed and realised as a digital (PC software) system. The solution is also oriented to be used for portable and implantable cardiac devices, such as rate adaptive pacemakers as well as for stationary devices in clinical conditions.

Keywords

Independent Component Analysis Respiratory Signal Respiratory Component Triangular Signal Implantable Cardiac Device 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Krivoshei A, Min M, Kukk V (2007) Signal-Shape Locked Loop (SSLL) as an Adaptive Separator of Cardiac and Respiratory Components of Bio-Impedance Signal, MeMeA07 Proc., Warsaw, Poland, 2007, “In press”Google Scholar
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    Krivoshei A (2006) A Bio-Impedance Signal Synthesiser (BISS) for Testing of an Adaptive Filtering System, BEC2006 Proc., Baltic Electronics Conf., Tallinn, Estonia, 2006, pp. 225-228Google Scholar
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    Krivoshei A, Min M, Parve T, Ronk A (2006) An Adaptive Filtering System for Separation of Cardiac and Respiratory Components of Bioimpedance Signal, MeMeA06 Proc., Benevento, Italy, 2006, pp. 10-15Google Scholar
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    Widrow B, Stearns SD (1985) Adaptive Signal Processing. Prentice Hall, N.J.zbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Andrei Krivoshei
    • 1
  • Vello Kukk
    • 2
  1. 1.Department of Electronics Tallinn University of TechnologyTallinnEstonia
  2. 2.Department of Computer Control, Tallinn University of TechnologyTallinnEstonia

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