• DocumentCode
    2216771
  • Title

    ECG signal compression based on MSPIHT algorithm

  • Author

    Wang, Zhelong ; Chen, Ying

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Dalian Univ. of Technol., Dalian
  • fYear
    2008
  • fDate
    30-31 May 2008
  • Firstpage
    415
  • Lastpage
    419
  • Abstract
    A new electrocardiogram (ECG) signal compression algorithm named modified set partitioning in hierarchical trees (MSPIHT), which is based on the SPIHT algorithm, has been proposed in this paper. Several measures have been taken to improve the SPIHT algorithm and these measures includes that the lifting wavelet transform is adopted, the extended zerotree structure is redefined, and the threshold optimization. Simulation experiments by using the MSPIHT algorithm and several other compression algorithms have been conducted to verify the validity of the MSPIHT algorithm and test its performance. The experimental results show that the proposed MSPIHT algorithm is valid and can achieve the better compression performance than other compression algorithms based on the wavelet transform.
  • Keywords
    data compression; electrocardiography; encoding; medical signal processing; optimisation; trees (mathematics); wavelet transforms; ECG signal compression; MSPIHT algorithm; electrocardiogram; extended zerotree structure; lifting wavelet transform; modified set partitioning in hierarchical trees; threshold optimization; Biomedical measurements; Compression algorithms; Data compression; Electrocardiography; Frequency; Neural networks; Parameter extraction; Partitioning algorithms; Testing; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications in Biomedicine, 2008. ITAB 2008. International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-2254-8
  • Electronic_ISBN
    978-1-4244-2255-5
  • Type

    conf

  • DOI
    10.1109/ITAB.2008.4570530
  • Filename
    4570530