文化大學機構典藏 CCUR:Item 987654321/29249
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    請使用永久網址來引用或連結此文件: https://irlib.pccu.edu.tw/handle/987654321/29249


    題名: Wavelet-Based Watermarking and Compression for ECG Signals with Verification Evaluation
    作者: Tseng, Kuo-Kun
    He, Xialong
    Kung, Woon-Man
    Chen, Shuo-Tsung
    Liao, Minghong
    Huang, Huang-Nan
    貢獻者: 運動與健康促進學系
    關鍵詞: integrating
    watermarking
    ECG
    compression
    日期: 2014-02
    上傳時間: 2015-01-27 13:37:56 (UTC+8)
    摘要: 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.
    關聯: SENSORS 卷: 14 期: 2 頁碼: 3721-3736
    顯示於類別:[Department of Exercise and Health Promotion] journal articles

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