Abstract
In the current open society and with the growth of human rights, people are more and more concerned about the privacy of their information and other important data. This study makes use of electrocardiography (ECG) data in order to protect individual information. An ECG signal can not only be used to analyze disease, but also to provide crucial biometric information for identification and authentication. In this study, we propose a new idea of integrating electrocardiogram watermarking and compression approach, which has never been researched before. ECG watermarking can ensure the confidentiality and reliability of a user's data while reducing the amount of data. In the evaluation, we apply the embedding capacity, bit error rate (BER), signal-to-noise ratio (SNR), compression ratio (CR), and compressed-signal to noise ratio (CNR) methods to assess the proposed algorithm. After comprehensive evaluation the final results show that our algorithm is robust and feasible.
Highlights
The Internet is brings us convenience, and risks
This paper proposes the use of digital watermarking to ensure the safe transmission of ECG signals in a wireless network [8]
Each ECG signal is first adjusted to have zero mean to eliminate the DC offset and the Haar wavelet transform is applied to each signal with 7-level decomposition
Summary
The Internet is brings us convenience, and risks. The topic of individuals‟ privacy is attracting more and more attention. In this paper we propose a method based on wavelets to add watermarks to electrocardiograms and compress them. We proposed a wavelet compression method to achieve lossy compression of the ECG signal. We make the following contributions: we integrate electrocardiogram digital watermark encryption and a compression algorithm based on an orthogonal wavelet domain, which has never been researched before. This is mainly a comparison of the watermarked and compressed object before and after, as well as comparison of the correlation peaks.
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