• DocumentCode
    1718472
  • Title

    Reduction of ECG precordial leads

  • Author

    Prauzek, Michal ; Peterek, Tomas ; Penhaker, Marek

  • Author_Institution
    Fac. of Electr. Eng. & Comput. Sci., VSB-Tech. Univ. of Ostrava, Ostrava, Czech Republic
  • Volume
    1
  • fYear
    2010
  • Abstract
    The paper describes possibilities of simplifying the measurement set-up for ECG recordings, by reducing the number of leads. The study proposes a technique to reduce the number of measurements or to reconstruct ECG leads by neural networks. The results are encouraging and show how it is possible to reconstruct ECG leads. The goal of this work is in the possibilities of reconstruction ECG precordial leads and the algorithm of reconstruction.
  • Keywords
    electrocardiography; neural nets; ECG precordial leads; neural networks; reconstruction algorithm; Artificial neural networks; Brain modeling; Electrocardiography; Lead; Principal component analysis; Shape; Training; ECG; Neural Network; Precordial Leads; Reconstruction; Spectra;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (ICSPS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-6892-8
  • Electronic_ISBN
    978-1-4244-6893-5
  • Type

    conf

  • DOI
    10.1109/ICSPS.2010.5555640
  • Filename
    5555640
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1718472