ECG signal compression by multi-iteration EZW coding for different wavelets and thresholds

Tohumoglu G., Sezgin K. E.

COMPUTERS IN BIOLOGY AND MEDICINE, vol.37, no.2, pp.173-182, 2007 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 37 Issue: 2
  • Publication Date: 2007
  • Doi Number: 10.1016/j.compbiomed.2005.11.004
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.173-182
  • Keywords: multi-iteration EZW, ECG signal compression, wavelets, 1-D signal coding, COMPACTLY SUPPORTED WAVELETS, BASES
  • Dokuz Eylül University Affiliated: No


The modified embedded zero-tree wavelet (MEZW) compression algorithm for the one-dimensional signal was originally derived for image compression based on Shapiro's EZW algorithm. It is revealed that the proposed codec is significantly more efficient in compression and in computation than previously proposed ECG compression schemes. The coder also attains exact bit rate control and generates a bit stream progressive in quality or rate. The EZW and MEZW algorithms apply the chosen threshold values or the expressions in order to specify that the significant transformed coefficients are greatly significant. Thus, two different threshold definitions, namely percentage and dyadic thresholds, are used, and they are applied for different wavelet types in biorthogonal and orthogonal classes. In detail, the MEZW and EZW algorithms results are quantitatively compared in terms of the compression ratio (CR) and percentage root mean square difference (PRD). Experiments are carried out on the selected records from the MIT-BIH arrhythmia database and an original ECG signal. It is observed that the MEZW algorithm shows a clear advantage in the CR achieved for a given PRD over the traditional EZW, and it gives better results for the biorthogonal wavelets than the orthogonal wavelets. (c) 2005 Elsevier Ltd. All rights reserved.