文化大學機構典藏 CCUR:Item 987654321/29249
English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 46833/50693 (92%)
造訪人次 : 11847866      線上人數 : 455
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    主頁登入上傳說明關於CCUR管理 到手機版


    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:[運動與健康促進學系] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML527檢視/開啟


    在CCUR中所有的資料項目都受到原著作權保護.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回饋