• DocumentCode
    1999049
  • Title

    Reversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transforms

  • Author

    Zheng, Kai-Mei ; Qian, Xu

  • Author_Institution
    Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol. Beijing, Beijing, China
  • Volume
    1
  • fYear
    2008
  • fDate
    13-17 Dec. 2008
  • Firstpage
    295
  • Lastpage
    299
  • Abstract
    A reversible watermarking algorithm with high data-hiding capacity has been developed for electrocardiogram (ECG) signal based on wavelet transforms. In electrocardiogram signal, the energy is concentrated in QRS complex waves. So the selection of wavelet coefficients for hiding should avoid making QRS complex waves distort obviously. The algorithm hides bits in the expansion of selected coefficients of high frequency sub-band of Harr wavelet transform based on lifting scheme. Due to a slightly modification on non QRS complex waves, the imperceptibility of the embedded watermark in the ECG signal is well guaranteed. The performance has been evaluated in terms of ECG signal distortion and embedding capacity. Experiment results demonstrate the efficiency of the watermarking scheme and show that the original ECG signal is reconstructed exactly after the retrieval of the watermark data.
  • Keywords
    Haar transforms; data encapsulation; electrocardiography; medical signal processing; watermarking; wavelet transforms; ECG signal distortion; Harr wavelet transform; QRS complex waves; electrocardiogram signal; embedded watermark; embedding capacity; high data hiding capacity; lifting scheme; reversible data hiding; reversible watermarking; wavelet coefficients selection; wavelet transforms; Biometrics; Computational intelligence; Data encapsulation; Distortion; Electrocardiography; Frequency; Spline; Watermarking; Wavelet coefficients; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2008. CIS '08. International Conference on
  • Conference_Location
    Suzhou
  • Print_ISBN
    978-0-7695-3508-1
  • Type

    conf

  • DOI
    10.1109/CIS.2008.71
  • Filename
    4724661