Wavelet Transformation Based Watermarking Technique for Human Electrocardiogram (ECG)

Authors:
Mehmet Engin;Oğuz Çidam;Erkan Zeki Engin
Affiliations:
Electrical and Electronics Engineering Department, Faculty of Engineering, Ege University, Bornova, Turkey;Electrical and Electronics Engineering Department, Faculty of Engineering, Ege University, Bornova, Turkey;Electrical and Electronics Engineering Department, Faculty of Engineering, Ege University, Bornova, Turkey
Venue:
Journal of Medical Systems
Year:
2005

Citing 2
Cited 2

Diversity and attack characterization for improved robustwatermarking

IEEE Transactions on Signal Processing
Watermarking medical signals for telemedicine

IEEE Transactions on Information Technology in Biomedicine

Embedding and Retrieving Private Metadata in Electrocardiograms

Journal of Medical Systems
Secure information embedding into 1D biomedical signals based on SPIHT

Journal of Biomedical Informatics

Quantified Score

Hi-index	0.00

Visualization

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.