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Sensors 2014, 14(2), 3721-3736; doi:10.3390/s140203721
Article

Wavelet-Based Watermarking and Compression for ECG Signals with Verification Evaluation

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Received: 14 December 2013 / Revised: 6 February 2014 / Accepted: 18 February 2014 / Published: 21 February 2014
(This article belongs to the Special Issue Biomedical Sensors and Systems)
View Full-Text   |   Download PDF [499 KB, 21 June 2014; original version 21 June 2014]   |   Browse Figures

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.
Keywords: integrating; watermarking; ECG; compression integrating; watermarking; ECG; compression
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Tseng, K.-K.; He, X.; Kung, W.-M.; Chen, S.-T.; Liao, M.; Huang, H.-N. Wavelet-Based Watermarking and Compression for ECG Signals with Verification Evaluation. Sensors 2014, 14, 3721-3736.

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