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ECG Signal Compression Based on Fractals and RLE

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eeict2015-486-nemcova.pdf (843.1Kb)
Datum
2015
Autor
Němcová, A.
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Zusammenfassung
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
URI
http://hdl.handle.net/11012/43048
Document type
Peer reviewed
Document version
Final PDF
Source
Proceedings of the 21st Conference STUDENT EEICT 2015. s. 486-490. ISBN 978-80-214-5148-3
http://www.feec.vutbr.cz/EEICT/
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  • Student EEICT 2015 [169]
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