• DocumentCode
    2995706
  • Title

    Basis pursuit for ECG compression

  • Author

    Fira, Monica ; Goras, L.

  • Author_Institution
    Inst. for Comput. Sci., Iasi, Romania
  • fYear
    2009
  • fDate
    9-10 July 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a discussion concerning ECG signals compression using the basis pursuit (BP) approach applied for several overcomplete wavelet dictionaries. The compression is based on an ldquooptimalrdquo superposition of dictionary elements, by minimizing the l1 norm of the error. The best results have been obtained with the Coiflet 4 dictionary.
  • Keywords
    electrocardiography; signal processing; wavelet transforms; Coiflet 4 dictionary; ECG signals compression; basis pursuit approach; dictionary element optimal superposition; wavelet dictionaries; Compression algorithms; Computer science; Dictionaries; Electrocardiography; Heart; Monitoring; Signal representations; Surface reconstruction; Surface waves; Telemedicine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Circuits and Systems, 2009. ISSCS 2009. International Symposium on
  • Conference_Location
    Iasi
  • Print_ISBN
    978-1-4244-3785-6
  • Electronic_ISBN
    978-1-4244-3786-3
  • Type

    conf

  • DOI
    10.1109/ISSCS.2009.5206213
  • Filename
    5206213
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2995706