Detail publikačního výsledku

Compression of ECG signals using SPIHT – alternatives to wavelet transform

NĚMCOVÁ, A.; VÍTEK, M.

Originální název

Compression of ECG signals using SPIHT – alternatives to wavelet transform

Anglický název

Compression of ECG signals using SPIHT – alternatives to wavelet transform

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

One of the most effective methods for ECG signal compression is a combination of Wavelet Transform (WT) and Set Partitioning in Hierarchical Trees (SPIHT). WT transforms the signal into coefficients, which are arranged in a pyramidal structure. SPIHT is applied on these coefficients to compress the signal and create a bit stream. The article introduces alternative methods to WT – Pyramidal Median Transform (PMT) and Empirical Mode Decomposition (EMD). The combination of these methods with SPIHT has not been published yet. After SPIHT is applied, the output stream is further compressed by lossless methods (Burrows-Wheeler Transform, Move to Front, Run Length Encoding, and Huffman Encoding). WT, PMT and EMD in combination with SPIHT were tested and compared in terms of efficiency and quality of compression. Neither PMT nor EMD did not show to be as effective as WT.

Anglický abstrakt

One of the most effective methods for ECG signal compression is a combination of Wavelet Transform (WT) and Set Partitioning in Hierarchical Trees (SPIHT). WT transforms the signal into coefficients, which are arranged in a pyramidal structure. SPIHT is applied on these coefficients to compress the signal and create a bit stream. The article introduces alternative methods to WT – Pyramidal Median Transform (PMT) and Empirical Mode Decomposition (EMD). The combination of these methods with SPIHT has not been published yet. After SPIHT is applied, the output stream is further compressed by lossless methods (Burrows-Wheeler Transform, Move to Front, Run Length Encoding, and Huffman Encoding). WT, PMT and EMD in combination with SPIHT were tested and compared in terms of efficiency and quality of compression. Neither PMT nor EMD did not show to be as effective as WT.

Klíčová slova

compression; ECG; wavelet transform; empirical mode decomposition; pyramidal median transform; SPIHT

Klíčová slova v angličtině

compression; ECG; wavelet transform; empirical mode decomposition; pyramidal median transform; SPIHT

Autoři

NĚMCOVÁ, A.; VÍTEK, M.

Rok RIV

2017

Vydáno

29.08.2016

Nakladatel

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

ISBN

978-80-214-5389-0

Kniha

Sborník příspěvků studentské konference Blansko 2016

Strany od

67

Strany do

70

Strany počet

4

BibTex

@inproceedings{BUT127556,
  author="Andrea {Němcová} and Martin {Vítek}",
  title="Compression of ECG signals using SPIHT – alternatives to wavelet transform",
  booktitle="Sborník příspěvků studentské konference Blansko 2016",
  year="2016",
  number="první",
  pages="67--70",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
  isbn="978-80-214-5389-0"
}