Publication detail

ECG signal compression based on fractals and RLE

NĚMCOVÁ, A. VÍTEK, M.

Original Title

ECG signal compression based on fractals and RLE

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

NĚMCOVÁ, A.; VÍTEK, M.

RIV year

2015

Released

23. 4. 2015

Publisher

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

Location

Brno

ISBN

978-80-214-5148-3

Book

Proceedings of the 21st Conference STUDENT EEICT 2015

Pages from

486

Pages to

490

Pages count

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"
}