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Wavelet-Based Watermarking and Compression for ECG Signals with Verification Evaluation
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 t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3958288/ https://www.ncbi.nlm.nih.gov/pubmed/24566636 http://dx.doi.org/10.3390/s140203721 |
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author | Tseng, Kuo-Kun He, Xialong Kung, Woon-Man Chen, Shuo-Tsung Liao, Minghong Huang, Huang-Nan |
author_facet | Tseng, Kuo-Kun He, Xialong Kung, Woon-Man Chen, Shuo-Tsung Liao, Minghong Huang, Huang-Nan |
author_sort | Tseng, Kuo-Kun |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3958288 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-39582882014-03-20 Wavelet-Based Watermarking and Compression for ECG Signals with Verification Evaluation Tseng, Kuo-Kun He, Xialong Kung, Woon-Man Chen, Shuo-Tsung Liao, Minghong Huang, Huang-Nan Sensors (Basel) Article 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. Molecular Diversity Preservation International (MDPI) 2014-02-21 /pmc/articles/PMC3958288/ /pubmed/24566636 http://dx.doi.org/10.3390/s140203721 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Tseng, Kuo-Kun He, Xialong Kung, Woon-Man Chen, Shuo-Tsung Liao, Minghong Huang, Huang-Nan Wavelet-Based Watermarking and Compression for ECG Signals with Verification Evaluation |
title | Wavelet-Based Watermarking and Compression for ECG Signals with Verification Evaluation |
title_full | Wavelet-Based Watermarking and Compression for ECG Signals with Verification Evaluation |
title_fullStr | Wavelet-Based Watermarking and Compression for ECG Signals with Verification Evaluation |
title_full_unstemmed | Wavelet-Based Watermarking and Compression for ECG Signals with Verification Evaluation |
title_short | Wavelet-Based Watermarking and Compression for ECG Signals with Verification Evaluation |
title_sort | wavelet-based watermarking and compression for ecg signals with verification evaluation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3958288/ https://www.ncbi.nlm.nih.gov/pubmed/24566636 http://dx.doi.org/10.3390/s140203721 |
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