Packet-size-controlled ECG compression algorithm based on discrete wavelet transform and running length encoding

Asiya M. Al-Busaidi, Lazhar Khriji

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a development of new size-controlled compression algorithm for Electrocardiogram signal (ECG). Discrete Wavelet Transform (DWT) method, Bit-Field Preserving (BFP) and Running Length Encoding (RLE) are selected as compression tools in this work. Even though DWT-BFP-RLE is a lossy compression method, it has shown a potential in preserving the critical (diagnostic) part of the signal. Knowing that the size of transmitted packets of the battery-powered mobile telecardiology systems is limited within few bytes, the current algorithm is aiming to ensure that the compressed packets fit into the limited payload size. A parametric study of different mother wavelets and decomposition levels of DWT is presented with an emphasize on compression ratio (CR), percentage mean-square difference (PRD) and quality score (QS). The mother wavelet giving the best CR and QS results is then adopted to perform the dynamic compression algorithm on ECG records from MIT-BIH arrhythmia database.

Original languageEnglish
Title of host publicationBIOSIGNALS 2015 - 8th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015
PublisherSciTePress
Pages246-254
Number of pages9
ISBN (Electronic)9789897580697
Publication statusPublished - 2015
Event8th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2015 - Lisbon, Portugal
Duration: Jan 12 2015Jan 15 2015

Other

Other8th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2015
CountryPortugal
CityLisbon
Period1/12/151/15/15

    Fingerprint

Keywords

  • CR
  • Data Compression
  • ECG
  • PRD
  • Running Length Encoding
  • Telecardiology
  • Wavelet Transform

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering

Cite this

Al-Busaidi, A. M., & Khriji, L. (2015). Packet-size-controlled ECG compression algorithm based on discrete wavelet transform and running length encoding. In BIOSIGNALS 2015 - 8th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015 (pp. 246-254). SciTePress.