Detail publikace

ECG signal compression based on fractals and RLE

Originální název

ECG signal compression based on fractals and RLE

Anglický název

ECG signal compression based on fractals and RLE

Jazyk

en

Originální abstrakt

Compression of ECG signal is up to date challenge. There are many methods for ECG compression. This paper focuses on fractal based compression method. The method is implemented in MATLAB and compared with results in source article. New single cycle method for ECG signal compression that combines fractals and run length encoding (RLE) is created. Both methods are compared with method based on wavelet transform (WT) and RLE and up to date wavelet based Set Partitioning in Hierarchical Trees (SPIHT) algorithm.

Anglický abstrakt

Compression of ECG signal is up to date challenge. There are many methods for ECG compression. This paper focuses on fractal based compression method. The method is implemented in MATLAB and compared with results in source article. New single cycle method for ECG signal compression that combines fractals and run length encoding (RLE) is created. Both methods are compared with method based on wavelet transform (WT) and RLE and up to date wavelet based Set Partitioning in Hierarchical Trees (SPIHT) algorithm.

BibTex


@inproceedings{BUT114335,
  author="Andrea {Němcová} and Martin {Vítek}",
  title="ECG signal compression based on fractals and RLE",
  annote="Compression of ECG signal is up to date  challenge. There are many methods for ECG compression. This paper focuses on fractal based compression method. The method is implemented in MATLAB and compared with results in source article. New single cycle method for ECG signal compression  that  combines  fractals  and  run  length  encoding  (RLE)  is  created.  Both  methods  are compared  with  method based  on wavelet transform (WT) and  RLE and  up to date  wavelet based Set Partitioning in Hierarchical Trees (SPIHT) algorithm.",
  address="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
  booktitle="Proceedings of the 21st Conference STUDENT EEICT 2015",
  chapter="114335",
  howpublished="online",
  institution="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
  year="2015",
  month="april",
  pages="486--490",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
  type="conference paper"
}