An Adaptive Enhancer with Modified Signal Averaging Scheme to Detect Ventricular Late Potentials

  • Alberto Taboada-Crispí
  • Juan V. Lorenzo-Ginori
  • Dennis F. Lovely
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2905)

Abstract

Ventricular late potential detection can be used as a non-invasive diagnostic tool, but traditional detection techniques need around 300 heartbeats and fail to obtain the beat-to-beat information. This paper combines a modified signal averaging and an adaptive enhancer to deal with non-stationary environments and get beat-to-beat information from as little as 60 beats. In the ventricular late potential region of the recovered signal, discernible patterns indicate the presence or not of such waveforms. A maximum absolute value “averaging” can emphasize the boundaries of the QRS complex even further to successfully detect ventricular late potentials.

Keywords

Fiducial Mark Finite Impulse Response Filter Recovered Signal Ventricular Late Potential Noise Reduction Strategy 
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.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Alberto Taboada-Crispí
    • 1
  • Juan V. Lorenzo-Ginori
    • 1
  • Dennis F. Lovely
    • 2
  1. 1.Center for Studies on Electronics and Information TechnologiesUniversidad Central de Las VillasSanta ClaraCuba
  2. 2.Electrical and Computer Engineering DepartmentUniversity of New BrunswickFrederictonCanada

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