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Compression of ECG signal
Blaschová, Eliška ; Němcová, Andrea (referee) ; Vítek, Martin (advisor)
This paper represents the most well-known compression methods, which have been published. A Compression of ECG signal is important primarily for space saving in memory cards or efficiency improvement of data transfer. An application of wavelet transform for compression is a worldwide discussed topic and this is the reason why the paper focuses in this direction. Gained wavelet coefficients might be firstly quantized and then compressed using suitable method. There are many options for a selection of wavelet and a degree of decomposition, which will be tested from the point of view of the most efficient compression of ECG signal.
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ECG signals compression
Botlová, Simona ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
This bachelor thesis deals with the compression of ECG signals using wavelet transform and run length encoding. The principles of electrocardiography, compression methods, wavelet transform and run length encoding are described in this thesis. There was created a program to compress and decompress ECG signals in MATLAB interface. The wavelet transform settings and their influence on compress ratio and percentage root mean square difference were tested. Subsequently, the appropriate adjustment of algoritm was found and it was used on CSE database compression.
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ECG signals compression
Botlová, Simona ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
This bachelor thesis deals with the compression of ECG signals using wavelet transform and run length encoding. The principles of electrocardiography, compression methods, wavelet transform and run length encoding are described in this thesis. There was created a program to compress and decompress ECG signals in MATLAB interface. The wavelet transform settings and their influence on compress ratio and percentage root mean square difference were tested. Subsequently, the appropriate adjustment of algoritm was found and it was used on CSE database compression.
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Compression of ECG signal
Blaschová, Eliška ; Němcová, Andrea (referee) ; Vítek, Martin (advisor)
This paper represents the most well-known compression methods, which have been published. A Compression of ECG signal is important primarily for space saving in memory cards or efficiency improvement of data transfer. An application of wavelet transform for compression is a worldwide discussed topic and this is the reason why the paper focuses in this direction. Gained wavelet coefficients might be firstly quantized and then compressed using suitable method. There are many options for a selection of wavelet and a degree of decomposition, which will be tested from the point of view of the most efficient compression of ECG signal.
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ECG Signal Compression Based on Fractals and RLE
Němcová, A.
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.
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