Abstract
At present, considerable amount of work has been done in tele-monitoring that involves transmission of biomedical signals through wireless media. Exchange of bio-signals between hospitals requires efficient and reliable transmission. Watermarking is added “ownership” information in multimedia content to prove authenticity, verify signal integrity, and achieve control over the copy process. The ECG signal is a sensitive diagnostic tool that is used to detect various cardio-vascular diseases by measuring and recording the electrical activity of the heart in exquisite detail. This paper proposes a method of binary watermark embedding into the Electrocardiogram (ECG) signal and a self recovery based watermark extraction mechanism using Stationary Wavelet Transformation (SWT), Spread-Spectrum and quantization. In this approach, the generated watermarked signal having an acceptable level of imperceptibility and distortion is compared to the original ECG signal. Finally, a comparative study of detected P-QRS-T components is done to measure the diagnostic value change as an effect of watermarking. In this approach the generated watermarked ECG signal having an acceptable level of imperceptibility and distortion is compared to the Original ECG signal based on Peak Signal to Noise Ratio (PSNR) and correlation value.
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Dey, N., Roy, A.B., Das, A., Chaudhuri, S.S. (2012). Stationary Wavelet Transformation Based Self-recovery of Blind-Watermark from Electrocardiogram Signal in Wireless Telecardiology. In: Thampi, S.M., Zomaya, A.Y., Strufe, T., Alcaraz Calero, J.M., Thomas, T. (eds) Recent Trends in Computer Networks and Distributed Systems Security. SNDS 2012. Communications in Computer and Information Science, vol 335. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34135-9_35
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DOI: https://doi.org/10.1007/978-3-642-34135-9_35
Publisher Name: Springer, Berlin, Heidelberg
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