Optimization based ECG watermarking in RDWT-SVD domain

Abstract

With the increase in point of care services, communication of digital patient records through open network has multi-folded. This digital data is used to obtain the remote medical assistance from the smart healthcare centres. Protecting this data during transmission is a very big challenge. One of the most important medical data is electrocardiogram (ECG) signal which detects the cardiovascular diseases and any alteration in the signal may affect the diagnosis. In this work, an ECG watermarking based on redundant discrete wavelet transform (RDWT) and singular value decomposition (SVD) is developed. First, the ECG signal is converted into 2-D matrix using pan-tompkins algorithm. Then, we use the hybrid of RDWT and SVD to conceal the patient data and logo image into the 2-D ECG image. We also use hybrid of optimization scheme to improve the robustness of the watermark. Preliminary experimental results indicate the optimal invisibility and robustness result is more effective up to 97.89% than the traditional schemes respectively, which makes it suitable for ownership authentication of ECG signal.

BacterialWmark: telemedicine watermarking technique using bacterial foraging for smart healthcare system

“…Due to its shift invariance nature, RDWT is superior to DWT. 5 Reference 15 designed a time-efficient, Manta ray foraging-optimization, dual-tree complex wavelet transform, SVD-based watermarking scheme that adaptively determines the multiple embedding strengths, but the normalized correlation coefficient (NCC) is not good for the geometric type of attacks. In Ref.…”

“…An optimization-based electrocardiogram (ECG) watermarking in the RDWT-SVD domain is developed, where the main criteria in digital image watermarking are simultaneously improved, i.e., quality and robustness. Due to its shift invariance nature, RDWT is superior to DWT 5 . Reference 15 designed a time-efficient, Manta ray foraging-optimization, dual-tree complex wavelet transform, SVD-based watermarking scheme that adaptively determines the multiple embedding strengths, but the normalized correlation coefficient (NCC) is not good for the geometric type of attacks.…”

“…The proposed BacterialWmark technique uses LWT, 2 , 25 RDWT, 5 and RSVD 6 Figure 1. shows the BacterialWmark embedding and extraction process.…”

“…LWT is faster than DWT, 1 and RDWT is shift invariant. 5 Randomized singular value decomposition (RSVD) is faster than traditional SVD. 6 The proposed method uses digital imaging and communications in medicine (DICOM) images for watermarking.…”

“…The proposed method uses the advantages of lifting wavelet transform (LWT) and redundant discrete wavelet transform (RDWT). LWT is faster than DWT, 1 and RDWT is shift invariant 5 . Randomized singular value decomposition (RSVD) is faster than traditional SVD 6 .…”