• DocumentCode
    862154
  • Title

    Compression of electrocardiogram signals using JPEG2000

  • Author

    Bilgin, A. ; Marcellin, M.W. ; Altbach, M.I.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
  • Volume
    49
  • Issue
    4
  • fYear
    2003
  • Firstpage
    833
  • Lastpage
    840
  • Abstract
    JPEG2000 is the latest international standard for compression of still images. Although the JPEG2000 codec is designed to compress images, we illustrate that it can also be used to compress other signals. As an example, we illustrate how the JPEG2000 codec can be used to compress electrocardiogram (ECG) data. Experiments using the MIT-BIH arrhythmia database illustrate that the proposed approach outperforms many existing ECG compression schemes. The proposed scheme allows the use of existing hardware and software JPEG2000 codecs for ECG compression, and can be especially useful in eliminating the need for specialized hardware development. The desirable characteristics of the JPEG2000 codec, such as precise rate control and progressive quality, are retained in the presented scheme. The goal of this paper is to demonstrate the ECG application as an example. This example can be extended to other signals that exist within the consumer electronics realm.
  • Keywords
    data compression; electrocardiography; image coding; medical image processing; ECG compression; JPEG2000 codec; MIT-BIH arrhythmia database; electrocardiogram signals compression; rate control; still images compression; Application software; Codecs; Data compression; Electrocardiography; Hardware; Image coding; Propagation losses; Signal design; Transform coding;
  • fLanguage
    English
  • Journal_Title
    Consumer Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-3063
  • Type

    jour

  • DOI
    10.1109/TCE.2003.1261162
  • Filename
    1261162