Detail publikace

Wavelet Transform in ECG Signal Processing

Originální název

Wavelet Transform in ECG Signal Processing

Anglický název

Wavelet Transform in ECG Signal Processing

Jazyk

en

Originální abstrakt

Theory of wavelet transform is a young branch of applied mathematics extensively developing from early 1980's. Recently, the wavelet transform is studied increasingly with applications to digital signal processing and analysis including data compression. This paper briefly introduces theory of wavelet transform and shows several promising applications in cardiology. Also, examples of the use of the wavelet transform with results are described in detail and discussed.

Anglický abstrakt

Theory of wavelet transform is a young branch of applied mathematics extensively developing from early 1980's. Recently, the wavelet transform is studied increasingly with applications to digital signal processing and analysis including data compression. This paper briefly introduces theory of wavelet transform and shows several promising applications in cardiology. Also, examples of the use of the wavelet transform with results are described in detail and discussed.

BibTex


@inproceedings{BUT2508,
  author="Ivo {Provazník} and Jiří {Kozumplík} and Jana {Kolářová} and Marie {Nováková} and Zuzana {Nováková}",
  title="Wavelet Transform in ECG Signal Processing",
  annote="Theory of wavelet transform is a young branch of applied mathematics extensively developing from early 1980's. Recently, the wavelet transform is studied increasingly with applications to digital signal processing and analysis including data compression. This paper briefly introduces theory of wavelet transform and shows several promising applications in cardiology. Also, examples of the use of the wavelet transform with results are described in detail and discussed.",
  address="VUTIUM PRESS",
  booktitle="Analysis of Biomedical Signals and Images",
  chapter="2508",
  institution="VUTIUM PRESS",
  year="2000",
  month="january",
  pages="21",
  publisher="VUTIUM PRESS",
  type="conference paper"
}