Detail publikace

Delineation of ECG Waves Using Complex-Valued Continuous Wavelet Transform

Originální název

Delineation of ECG Waves Using Complex-Valued Continuous Wavelet Transform

Anglický název

Delineation of ECG Waves Using Complex-Valued Continuous Wavelet Transform

Jazyk

en

Originální abstrakt

The paper deals with description of methods for delineation of ECG waves. The methods are based on continuous wavelet transform and its complex-valued form. The aim is to detect extrema (minima and maxima) and inflection points. Modulus of time-frequency spectra of the analysed signals are used to generate maximum curves. Phase of time-frequency spectra are post-processed by thresholding to detect phase steps corresponding to significant parts of signal waves. The methods were tested on ECG signals from standard libraries using common complex-valued Morlet wavelet No.2.

Anglický abstrakt

The paper deals with description of methods for delineation of ECG waves. The methods are based on continuous wavelet transform and its complex-valued form. The aim is to detect extrema (minima and maxima) and inflection points. Modulus of time-frequency spectra of the analysed signals are used to generate maximum curves. Phase of time-frequency spectra are post-processed by thresholding to detect phase steps corresponding to significant parts of signal waves. The methods were tested on ECG signals from standard libraries using common complex-valued Morlet wavelet No.2.

BibTex


@inproceedings{BUT22801,
  author="Ivo {Provazník} and Jana {Kolářová}",
  title="Delineation of ECG Waves Using Complex-Valued Continuous Wavelet Transform",
  annote="The paper deals with description of methods for delineation of ECG waves. The methods are based on continuous wavelet transform and its complex-valued form. The aim is to detect extrema (minima and maxima) and inflection points. Modulus of time-frequency spectra of the analysed signals are used to generate maximum curves. Phase of time-frequency spectra are post-processed by thresholding to detect phase steps corresponding to significant parts of signal waves. The methods were tested on ECG signals from standard libraries using common complex-valued Morlet wavelet No.2.",
  address="Sociedad Venezolanade Bioinginieria",
  booktitle="Proceedings of IV Latin American Congress on Biomedical Engineering CLAIB2007",
  chapter="22801",
  institution="Sociedad Venezolanade Bioinginieria",
  year="2007",
  month="september",
  pages="158--161",
  publisher="Sociedad Venezolanade Bioinginieria",
  type="conference paper"
}