Publication detail

Compression of ECG signals using SPIHT – alternatives to wavelet transform

NĚMCOVÁ, A. VÍTEK, M.

Original Title

Compression of ECG signals using SPIHT – alternatives to wavelet transform

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

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

Authors

NĚMCOVÁ, A.; VÍTEK, M.

Released

29. 8. 2016

Publisher

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

ISBN

978-80-214-5389-0

Book

Sborník příspěvků studentské konference Blansko 2016

Edition number

první

Pages from

67

Pages to

70

Pages count

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"
}