Hiding patients confidential datainthe ECG signal viaa transform-domain quantization scheme
Shuo-Tsung Chen1, Yuan-Jie Guo, Huang-Nan Huang
1Department of Applied Mathematics, Tunghai University, Taichung, 40704, Taiwan, shough34@yahoo.com.tw.
Abstract:
Watermarking is the most widely used technology in the field of copyright and biological information protection. In this paper, we use quantization based digital watermark encryption technology on the Electrocardiogram (ECG) to protect patient rights and information. Three transform domains, DWT, DCT, and DFT are adopted to implement the quantization based watermarking technique. Although the watermark embedding process is not invertible, the change of the PQRST complexes and amplitude of the ECG signal is very small and so the watermarked data can meet the requirements of physiological diagnostics. In addition, the hidden information can be extracted without knowledge of the original ECG data. In other words, the proposed watermarking scheme is blind. Experimental results verify the efficiency of the proposed scheme.
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