Title :
Wavelet-Based Quantization Watermarking for ECG Signals
Author :
He, Xialong ; Tseng, Kuo-Kun ; Huang, Huang-Nan ; Chen, Shuo-Tsung ; Tu, Shu-Yi ; Zeng, Fufu ; Pan, Jeng-Shyang
Author_Institution :
Dept. of Comput. Sci. & Technol., Harbin Inst. of Technol., Shenzhen, China
Abstract :
In this article, we use a self-synchronized watermark technology [7], to achieve the purpose of protection of electrocardiogram (ECG) signal. A Harr wavelet transform with 7 levels decomposition is adopted to transform the ECG signal and the synchronization code, combined with watermark, are quantized embedded in the low-frequency sub-band of level 7. The signal to noise ratio (SNR) between the embedded ECG and original one is greater than 30 such that the difference between these two ECG signals is very small and negligible in general. To test the robustness under the network transfer of ECG data, a white noise attack with various strengths is simulated that the bit error rate is quite small unless the SNR of the noise is very large. This study confirms the use of wavelet-based quantization watermarking scheme on ECG signal for patient protection is adequate.
Keywords :
Haar transforms; electrocardiography; error statistics; medical signal processing; quantisation (signal); watermarking; wavelet transforms; white noise; ECG signals; Harr wavelet transform; SNR; bit error rate; electrocardiogram signal; low-frequency subband 7 levels decomposition; patient protection; self-synchronized watermark technology; signal to noise ratio; synchronization code; wavelet-based quantization watermarking scheme; white noise attack; Electrocardiography; Quantization; Signal to noise ratio; Synchronization; Watermarking; White noise; Electrocardiogram; watermarking; wavelet; data transmission; self-synchronization;
Conference_Titel :
Computing, Measurement, Control and Sensor Network (CMCSN), 2012 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4673-2033-7
DOI :
10.1109/CMCSN.2012.119