Wavelet transformation based watermarking technique for human electrocardiogram (ECG).
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.
Engin
Mehmet
M
Electrical and Electronics Engineering Department, Faculty of Engineering, Ege University, Bornova, Izmir, Turkey. mengin@bornova.ege.edu.tr
Cidam
Oğuz
O
Engin
Erkan Zeki
EZ
D000465:Algorithms; D001698:Biomedical Engineering; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D012815:Signal Processing, Computer-Assisted