Compression of ECG signals using SPIHT – alternatives to wavelet transform

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU120003" target="_blank" >RIV/00216305:26220/16:PU120003 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Compression of ECG signals using SPIHT – alternatives to wavelet transform

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Compression of ECG signals using SPIHT – alternatives to wavelet transform

Popis výsledku anglicky

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.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

20204 - Robotics and automatic control

Projekt

<a href="/cs/project/GAP102%2F12%2F2034" target="_blank" >GAP102/12/2034: Analýza vztahu mezi elektrickými ději a průtokem krve u srdečních komor</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů