A robust digital ECG signal watermarking and compression using biorthogonal wavelet transform
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ORIGINAL ARTICLE
A robust digital ECG signal watermarking and compression using biorthogonal wavelet transform Ashish Kumar 1 & Ramana Ranganatham 2 & Samayveer Singh 3 & Rama Komaragiri 2 & Manjeet Kumar 4 Received: 7 April 2020 / Accepted: 19 October 2020 # Sociedade Brasileira de Engenharia Biomedica 2020
Abstract Purpose 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. Methods 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. Results 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. Conclusion After a comprehensive evaluation, the final results show that the proposed work is robust and feasible. Keywords Electrocardiogram . Biorthogonal wavelet transform . ECG watermarking
Introduction Protecting personal data (information) on the Internet seems like becoming a thing of past. Soon, individuals will be * Manjeet Kumar [email protected] Ashish Kumar [email protected] Ramana Ranganatham [email protected] Samayveer Singh [email protected] Rama Komaragiri [email protected] 1
School of Electronics Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India
2
Department of Electronics and Communication Engineering, Bennett University, Greater Noida, U.P., India
3
Department of Computer Science and Engineering, National Institute of Technology, Jalandhar, Punjab, India
4
Department of Electronics and Communication Engineering, Delhi Technological University (DTU), Delhi, India
struggling to maintain their personal medical information on the Internet. The trend shows (Ibaida and Khalil, 2013) ECG as one of the most vulnerable data set is widely put to use. This increasing use of data on the Internet is also exerting necessitating pressure on the World Wide Web. To safeguard and protect the data, use of watermarks to ECG data is the focus of the present research study. An ECG is the most straightforward test among the plethora of heart activity monitoring, which lists the health of the heart. ECG signal helps take diagnostic and preventive measures. Such data is generated in large quantities on day to day basis. Hence, data storage with privacy and accuracy is one big challenge for today’s information technology (IT) professionals engaged in the
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