ECG Signal Compression Based on Fractals and RLE
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Date
Authors
Němcová, A.
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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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.
Description
Keywords
fractal , ECG , electrocardiogram , compression , run length encoding , RLE , wavelet transform , WT , SPIHT
Citation
Proceedings of the 21st Conference STUDENT EEICT 2015. s. 486-490. ISBN 978-80-214-5148-3
http://www.feec.vutbr.cz/EEICT/
http://www.feec.vutbr.cz/EEICT/
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en
