• DocumentCode
    2483578
  • Title

    On-line analysis of cardiac near field signals during electrophysiological experiments with heart preparations

  • Author

    Wiener, Thomas ; Arnold, Robert ; Hofer, Ernst

  • Author_Institution
    Inst. of Biophys., Med. Univ. of Graz, Graz, Austria
  • fYear
    2012
  • fDate
    13-16 May 2012
  • Firstpage
    1487
  • Lastpage
    1490
  • Abstract
    Two signal processing algorithms for the on-line analysis of local propagation of activation during electrophysiological in-vitro experiments with heart preparations are presented. The first algorithm computes local velocity and direction of the propagating activation wave. Along with the values, their uncertainties due to noise are given. The second algorithm determines the fractionation index, a quantitative measure to characterize fractionated electrograms. These parameters are expected to provide valuable information for the characterization of the microstructure of the tissue under examination. The implementation of these algorithms in a measurement system allows the on-line monitoring of the resulting parameters in a beat-to-beat manner for heart rates up to 1800 beats per minute. This enables the examination of tachycardia even in fast beating preparations like the mouse heart.
  • Keywords
    bioelectric phenomena; biological tissues; cardiology; fractionation; medical signal processing; online operation; signal denoising; wave propagation; beat-to-beat manner; electrophysiological experiments; field signals; fractionated electrograms; fractionation index; heart preparations; mouse heart; noise; on-line cardiac analysis; on-line monitoring; propagating activation wave; signal processing algorithms; tachycardia; tissue microstructure; Correlation; Extracellular; Heart; Noise; Sensors; Signal processing algorithms; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International
  • Conference_Location
    Graz
  • ISSN
    1091-5281
  • Print_ISBN
    978-1-4577-1773-4
  • Type

    conf

  • DOI
    10.1109/I2MTC.2012.6229563
  • Filename
    6229563