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Journal of Medical Systems

, Volume 29, Issue 6, pp 589–594 | Cite as

Wavelet Transformation Based Watermarking Technique for Human Electrocardiogram (ECG)

  • Mehmet Engin
  • Oğuz Çıdam
  • Erkan Zeki Engin
Article

Abstract

Nowadays, watermarking has become a technology of choice for a broad range of multimedia copyright protection applications. Watermarks have also been used to embed prespecified data in biomedical signals. Thus, the watermarked biomedical signals being transmitted through communication are resistant to some attacks. This paper investigates discrete wavelet transform based watermarking technique for signal integrity verification in an Electrocardiogram (ECG) coming from four ECG classes for monitoring application of cardiovascular diseases. The proposed technique is evaluated under different noisy conditions for different wavelet functions. Daubechies (db2) wavelet function based technique performs better than those of Biorthogonal (bior5.5) wavelet function. For the beat-to-beat applications, all performance results belonging to four ECG classes are highly moderate.

Keywords

watermarking wavelet transform ECG signals biomedical signal processing 

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References

  1. 1.
    Kundur, D., and Hatzinakos, D., Diversity and attack characterization for improved robust watermarking. IEEE Trans. Signal Proc. 49(10):2383–2396, October. 2001.Google Scholar
  2. 2.
    Kong, X., and Feng, R., Watermarking medical signals for telemedicine. IEEE Trans. Inf. Technol. Biomed. 5(3):195–201, September. 2001.Google Scholar
  3. 3.
    Sivannarayana, N., and Reddy, D. C., Biorthogonal wavelet transforms for ECG parameters estimation. Med. Eng. Phys. 21:167–174, 1999.CrossRefPubMedGoogle Scholar
  4. 4.
    Kim, Y. S., Kwon, O. H., and Park, R. H., Wavelet based watermarking for digital images using the human visual system. Electron. Lett. 35(6):466–468, March. 1999.Google Scholar
  5. 5.
    Physiobank Archive Index, MIT-BIH Arrhytmia Database: http://www.physionet.org/physiobank/database.

Copyright information

© Springer Science + Business Media, Inc. 2005

Authors and Affiliations

  • Mehmet Engin
    • 1
  • Oğuz Çıdam
    • 1
  • Erkan Zeki Engin
    • 1
  1. 1.Electrical and Electronics Engineering Department, Faculty of EngineeringEge UniversityBornovaTurkey

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