• DocumentCode
    801780
  • Title

    Vector quantization of ECG wavelet coefficients

  • Author

    Anant, Kanwaldip ; Dowla, Farid ; Rodrigue, Garry

  • Author_Institution
    Dept. of Appl. Sci., California Univ., Davis, CA, USA
  • Volume
    2
  • Issue
    7
  • fYear
    1995
  • fDate
    7/1/1995 12:00:00 AM
  • Firstpage
    129
  • Lastpage
    131
  • Abstract
    An improved wavelet compression algorithm for ECG signals has been developed with the use of vector quantization on wavelet coefficients. Vector quantization on scales of long duration and low dynamic range retains feature integrity of the ECG with a very low bit-per-sample rate. Preliminary results indicate that the proposed method excels over standard techniques for high fidelity compression.<>
  • Keywords
    electrocardiography; medical signal processing; vector quantisation; wavelet transforms; ECG wavelet coefficients; biomedical signal processing; high fidelity compression; long duration scales; low dynamic range; vector quantization; very low bit-per-sample rate; wavelet compression algorithm; Biomedical signal processing; Compression algorithms; Discrete wavelet transforms; Distortion; Dynamic range; Electrocardiography; Filters; Laboratories; Vector quantization; Wavelet coefficients;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.392402
  • Filename
    392402
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=801780