• DocumentCode
    1233904
  • Title

    Wavelet Packets Feasibility Study for the Design of an ECG Compressor

  • Author

    Blanco-Velasco, M. ; Cruz-Roldán, Fernando ; Godino-Llorente, Juan Ignacio ; Barner, Kenneth E.

  • Author_Institution
    Univ. de Alcala, Madrid
  • Volume
    54
  • Issue
    4
  • fYear
    2007
  • fDate
    4/1/2007 12:00:00 AM
  • Firstpage
    766
  • Lastpage
    769
  • Abstract
    Most of the recent electrocardiogram (ECG) compression approaches developed with the wavelet transform are implemented using the discrete wavelet transform. Conversely, wavelet packets (WP) are not extensively used, although they are an adaptive decomposition for representing signals. In this paper, we present a thresholding-based method to encode ECG signals using WP. The design of the compressor has been carried out according to two main goals: 1) The scheme should be simple to allow real-time implementation; 2) quality, i.e., the reconstructed signal should be as similar as possible to the original signal. The proposed scheme is versatile as far as neither QRS detection nor a priori signal information is required. As such, it can thus be applied to any ECG. Results show that WP perform efficiently and can now be considered as an alternative in ECG compression applications
  • Keywords
    discrete wavelet transforms; electrocardiography; encoding; medical signal processing; signal reconstruction; ECG compressor; QRS detection; discrete wavelet transform; electrocardiogram compression; signal encode; signal reconstruction; signal representation; thresholding-based method; wavelet packets; Chromium; Clinical diagnosis; Computational complexity; Discrete wavelet transforms; Electrocardiography; Filter bank; Partitioning algorithms; Signal design; Wavelet packets; Wavelet transforms; ECG compression; electrocardiogram; filter bank; subband coding; thresholding; wavelet coding; wavelet packets (WP); wavelet transform; Algorithms; Artifacts; Data Compression; Electrocardiography; Feasibility Studies; Humans; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2006.889176
  • Filename
    4132924