Publication detail

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

Milan Tannenberg, Jiří Kozumplík

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

Cepstral method, FFT, Homomorphic filtering, TWA

Authors

Milan Tannenberg, Jiří Kozumplík

RIV year

2006

Released

28. 6. 2006

Publisher

Brno University of Technology, Vutium Press

Location

Brno

ISBN

80-214-3152-0

Book

18-th Biennial International Eurasip Conference Biosignal 2006 Proceedimgs

Edition number

první

ISBN

1211-412X

Periodical

Analysis of Biomedical Signals and Images

State

Czech Republic

Pages from

214

Pages to

216

Pages count

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"
}