Detail publikačního výsledku

ECG signal compression based on fractals and RLE

NĚMCOVÁ, A.; VÍTEK, M.

Originální název

ECG signal compression based on fractals and RLE

Anglický název

ECG signal compression based on fractals and RLE

Druh

Stať ve sborníku v databázi WoS či Scopus

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.

Klíčová slova

fractal, ECG, electrocardiogram, compression, run length encoding, RLE, wavelet transform, WT, SPIHT

Klíčová slova v angličtině

fractal, ECG, electrocardiogram, compression, run length encoding, RLE, wavelet transform, WT, SPIHT

Autoři

NĚMCOVÁ, A.; VÍTEK, M.

Rok RIV

2016

Vydáno

23.04.2015

Nakladatel

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

Místo

Brno

ISBN

978-80-214-5148-3

Kniha

Proceedings of the 21st Conference STUDENT EEICT 2015

Strany od

486

Strany do

490

Strany počet

5

URL

http://www.feec.vutbr.cz/EEICT/2015/sbornik/EEICT-2015-sborn%C3%ADk-komplet.pdf

BibTex

@inproceedings{BUT114335,
  author="Andrea {Němcová} and Martin {Vítek}",
  title="ECG signal compression based on fractals and RLE",
  booktitle="Proceedings of the 21st Conference STUDENT EEICT 2015",
  year="2015",
  pages="486--490",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
  address="Brno",
  isbn="978-80-214-5148-3",
  url="http://www.feec.vutbr.cz/EEICT/2015/sbornik/EEICT-2015-sborn%C3%ADk-komplet.pdf"
}