A robust digital ECG signal watermarking and compression using biorthogonal wavelet transform
Ashish Kumar, Ramana Ranganatham, Samayveer Singh, Rama Komaragiri, Manjeet Kumar · Research on Biomedical Engineering · 2020
With the advent of the technological era, the complexity of data security and privacy has gained utmost importance. People are becoming more conscious about the security and confidentiality of their crucial information. The present study is first of its kind effort in for safeguarding an individual’s electrocardiogram (ECG) data. ECG data not only does hold medical significance but also is of crucial and critical importance for purposes related to biometric information. Hence, a deciding factor for recognizing and validating personal information. The study progresses and proposes a new technique in ECG watermarking compression. This method ensures high reliability of data and information with confidentiality. The efficiency of the proposed research is evaluated in terms of compression ratio (CR), compressed signal-to-noise-ratio (CSNR), root-mean-square error (RMSE), maximum absolute error, percentage root-mean-square difference (PRD), and quality score. After a comprehensive evaluation, the final results show that the proposed work is robust and feasible.