• DocumentCode
    3460832
  • Title

    Wavelet-based ECG signals compression using SPIHT technique and VKTP coder

  • Author

    Boukhennoufa, N. ; Benmahammed, K. ; Abdi, M.A. ; Djeffal, F.

  • Author_Institution
    Dept. of Electron., Univ. of Batna, Batna, Algeria
  • fYear
    2009
  • fDate
    6-8 Nov. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, an efficient Electrocardiogram (ECG) signal compression method based on wavelet transform is presented. The proposed method combines the adapted SPIHT (Set Partitioning In Hierarchical Trees) method with VKTP (Vector K-Tree Partitioning) coder. The SPIHT method is based on the use of wavelet transform which is very well suited to locate the energy of the signal in fewer coefficients. Using the VKTP algorithm, to encode the generated bit stream of SPIHT algorithm, we achieve high compression performances. The tests of this lossy compression/ decompression technique are performed on many ECG records from Arrhythmia Database. The obtained results illustrate the capabilities of the proposed approach to improve the compression ratio while maintaining a good signal quality.
  • Keywords
    data compression; electrocardiography; medical signal processing; wavelet transforms; ECG signals compression; VKTP coder; adapted SPIHT method; arrhythmia database; electrocardiogram signal compression; set partitioning in hierarchical trees method; vector k-tree partitioning coder; wavelet transform; Data compression; Discrete Fourier transforms; Discrete cosine transforms; Discrete wavelet transforms; Electrocardiography; Fourier transforms; Information analysis; Partitioning algorithms; Signal processing algorithms; Wavelet transforms; CR; DWT; ECG; PRD; SPIHT; VKTP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Circuits and Systems (SCS), 2009 3rd International Conference on
  • Conference_Location
    Medenine
  • Print_ISBN
    978-1-4244-4397-0
  • Electronic_ISBN
    978-1-4244-4398-7
  • Type

    conf

  • DOI
    10.1109/ICSCS.2009.5412584
  • Filename
    5412584