Ventricular Late Potentials Characterization in Time-Frequency Domain by Means of a Wavelet Transform

Olivier Meste; Hervé Rix; Pere Caminal; Nitish V. Thakor

doi:10.1109/10.301729

Ventricular Late Potentials Characterization in Time-Frequency Domain by Means of a Wavelet Transform

Olivier Meste, Hervé Rix, Pere Caminal, Nitish V. Thakor

School of Medicine

Research output: Contribution to journal › Article › peer-review

82 Scopus citations

Abstract

The main transforms of Cohen’s class allow signal representation simultaneously in time and frequency domains. Wavelet transforms make it possible to link the temporal window width to the analyzing frequency and leads to a “modified wavelet transform” which improves resolution both in time and frequency. A simulation study illustrates the artifacts of every time-frequency representation (TFR) on pure sinusoids and gives performance evaluation of the different methods when searching a sinusoid embedded in a QRS complex. Analyses of real signals from healthy and pathological subjects confirm the simulation results and complete the characterization of ventricular late potentials (VLP) yet detected by signal averaging.

Original language	English (US)
Pages (from-to)	625-634
Number of pages	10
Journal	IEEE Transactions on Biomedical Engineering
Volume	41
Issue number	7
DOIs	https://doi.org/10.1109/10.301729
State	Published - Jul 1994

ASJC Scopus subject areas

Biomedical Engineering

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10.1109/10.301729

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@article{7437da10a13b4d2cb2ae693d8adc6bc2,

title = "Ventricular Late Potentials Characterization in Time-Frequency Domain by Means of a Wavelet Transform",

abstract = "The main transforms of Cohen{\textquoteright}s class allow signal representation simultaneously in time and frequency domains. Wavelet transforms make it possible to link the temporal window width to the analyzing frequency and leads to a “modified wavelet transform” which improves resolution both in time and frequency. A simulation study illustrates the artifacts of every time-frequency representation (TFR) on pure sinusoids and gives performance evaluation of the different methods when searching a sinusoid embedded in a QRS complex. Analyses of real signals from healthy and pathological subjects confirm the simulation results and complete the characterization of ventricular late potentials (VLP) yet detected by signal averaging.",

author = "Olivier Meste and Herv{\'e} Rix and Pere Caminal and Thakor, {Nitish V.}",

note = "Funding Information: Manuscript received October 21, 1992; revised March 18, 1994. This work was partially supported by grant CGR 900058 from NATO. 0. Meste and H. Rix are with the Laboratoire I3S, CNRS-UNSA., Bit. 4, 06560 Valbonne. France. P. Caminal is with the Institut de Cibemetica, Universitat PolitCcnica de Catalunya-CSIC Barcelona, Diagonal, 647, 2. planta, Barcelona-28, Spain. N. V. Thakor is with the Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA. IEEE Log Number 9402014.",

year = "1994",

month = jul,

doi = "10.1109/10.301729",

language = "English (US)",

volume = "41",

pages = "625--634",

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T1 - Ventricular Late Potentials Characterization in Time-Frequency Domain by Means of a Wavelet Transform

AU - Meste, Olivier

AU - Rix, Hervé

AU - Caminal, Pere

AU - Thakor, Nitish V.

N1 - Funding Information: Manuscript received October 21, 1992; revised March 18, 1994. This work was partially supported by grant CGR 900058 from NATO. 0. Meste and H. Rix are with the Laboratoire I3S, CNRS-UNSA., Bit. 4, 06560 Valbonne. France. P. Caminal is with the Institut de Cibemetica, Universitat PolitCcnica de Catalunya-CSIC Barcelona, Diagonal, 647, 2. planta, Barcelona-28, Spain. N. V. Thakor is with the Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA. IEEE Log Number 9402014.

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N2 - The main transforms of Cohen’s class allow signal representation simultaneously in time and frequency domains. Wavelet transforms make it possible to link the temporal window width to the analyzing frequency and leads to a “modified wavelet transform” which improves resolution both in time and frequency. A simulation study illustrates the artifacts of every time-frequency representation (TFR) on pure sinusoids and gives performance evaluation of the different methods when searching a sinusoid embedded in a QRS complex. Analyses of real signals from healthy and pathological subjects confirm the simulation results and complete the characterization of ventricular late potentials (VLP) yet detected by signal averaging.

AB - The main transforms of Cohen’s class allow signal representation simultaneously in time and frequency domains. Wavelet transforms make it possible to link the temporal window width to the analyzing frequency and leads to a “modified wavelet transform” which improves resolution both in time and frequency. A simulation study illustrates the artifacts of every time-frequency representation (TFR) on pure sinusoids and gives performance evaluation of the different methods when searching a sinusoid embedded in a QRS complex. Analyses of real signals from healthy and pathological subjects confirm the simulation results and complete the characterization of ventricular late potentials (VLP) yet detected by signal averaging.

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Ventricular Late Potentials Characterization in Time-Frequency Domain by Means of a Wavelet Transform

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