• DocumentCode
    2995694
  • Title

    ECG signal compression using wavelet foveation

  • Author

    Ciocoiu, Iulian B.

  • Author_Institution
    Telecommun. & Inf. Technol., Tech. Univ. of Iasi, Iasi, Romania
  • fYear
    2009
  • fDate
    9-10 July 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Foveation enables the definition of a proper mask that will modulate the coefficients given by the discrete wavelet transform of an ECG record. The mask is spatially selective and provides maximum accuracy around specific regions of interest. Subsequent denoising and coefficient quantization is further combined with a lossless compression technique in order to provide high compression ratios at low reconstruction errors. Experimental results reported on a number of MIT-BIH records show improved performances over existing solutions.
  • Keywords
    discrete wavelet transforms; electrocardiography; medical signal processing; signal denoising; ECG record; ECG signal compression; MIT-BIH records; coefficient quantization; discrete wavelet transform; lossless compression technique; signal denoising; signal reconstruction; wavelet foveation; Discrete wavelet transforms; Electrocardiography; Integral equations; Quantization; Signal analysis; Signal processing; Signal resolution; Smoothing methods; Spatial resolution; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Circuits and Systems, 2009. ISSCS 2009. International Symposium on
  • Conference_Location
    Iasi
  • Print_ISBN
    978-1-4244-3785-6
  • Electronic_ISBN
    978-1-4244-3786-3
  • Type

    conf

  • DOI
    10.1109/ISSCS.2009.5206212
  • Filename
    5206212