ECG Signal Compression Based on Fractals and RLE
Alternative metrics PlumXhttp://hdl.handle.net/11012/43048
MetadataShow full item record
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.
Keywordsfractal, ECG, electrocardiogram, compression, run length encoding, RLE, wavelet transform, WT, SPIHT
Document typePeer reviewed
SourceProceedings of the 21st Conference STUDENT EEICT 2015. s. 486-490. ISBN 978-80-214-5148-3
- Student EEICT 2015