Key result
Optimization-based ECG signal watermarking demonstrates good invisibility and robustness against attacks.
Why the study?
Multiple marks were embedded into ECG signals to eliminate ownership conflicts, provide copyright protection, and reduce bandwidth demand during transmission.
A new optimization-based ECG signal watermarking method provides good invisibility and robustness for copyright protection and cloud applications.
Answers are grounded in this paper and cite their sources.
Should not yet alter ECG data handling; leaves open clinical validation of watermarking for secure applications.
We introduce a robust watermarking method to efficiently embed multiple marks into ECG signals using redundant discrete wavelet transform and generalized singular value decomposition. Multiple marks are embedded within the signal to eliminate any ownership conflict and provide copyright protection. The hybrid optimization technique is also used to balance the invisibility and robustness. Further, wavelet-based compression is adopted to compress the marked signal before transmission reduces the bandwidth demand. To evaluate the proposed algorithm, the standard ECG dataset is used. The proposed algorithm yields very good invisibility and robustness against several attacks, and it is also suitable for applications in the cloud.
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Sharma et al. (2021) studied this question. Optimization-based ECG signal watermarking method was evaluated on Invisibility and robustness against attacks. An optimization-based ECG signal watermarking method using redundant discrete wavelet transform and generalized singular value decomposition yielded good invisibility and robustness against attacks.
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