Detail publikace

The Comparison of TWA detectors based on FFT and Homomorphic filtering in sliding window mode.

Milan Tannenberg, Jiří Kozumplík

Originální název

The Comparison of TWA detectors based on FFT and Homomorphic filtering in sliding window mode.

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Microvolt-level electrical T wave alternans (TWA), defined as a consistent 2:l variation in the T wave morphology has been recognized as a marker of electrical instability in a wide range of experimental and clinical situations, such as congenital long QT syndrome, myocardial ischemia and infarction and several other pathologic conditions. On the other hand [1], TWA is an arrhythmia risk marker to assess subtle changes in repolarization that has been introduced for arrhythmia and Sudden Cardiac Death (SCD) risk stratification.Two classes of signal processing techniques which have been applied to a variety of problems are Homomorphic filtering (Cepstral analysis) and Spectral analysis (based on Fast Fourier Transform (FFT)). In this article a simulation study of T wave alternans (TWA) detectors is tested in order to compare the performance of FFT analysis and Cepstral analysis in sliding window mode.

Klíčová slova

Cepstral method, FFT, Homomorphic filtering, TWA

Autoři

Milan Tannenberg, Jiří Kozumplík

Rok RIV

2006

Vydáno

28. 6. 2006

Nakladatel

Brno University of Technology, Vutium Press

Místo

Brno

ISBN

80-214-3152-0

Kniha

18-th Biennial International Eurasip Conference Biosignal 2006 Proceedimgs

Číslo edice

první

ISSN

1211-412X

Periodikum

Analysis of Biomedical Signals and Images

Stát

Česká republika

Strany od

214

Strany do

216

Strany počet

3

BibTex

@inproceedings{BUT18483,
  author="Milan {Tannenberg} and Jiří {Kozumplík}",
  title="The Comparison of TWA detectors based on FFT and Homomorphic filtering in sliding window mode.",
  booktitle="18-th Biennial International Eurasip Conference Biosignal 2006 Proceedimgs",
  year="2006",
  journal="Analysis of Biomedical Signals and Images",
  number="první",
  pages="3",
  publisher="Brno University of Technology, Vutium Press",
  address="Brno",
  isbn="80-214-3152-0",
  issn="1211-412X"
}