• DocumentCode
    335961
  • Title

    Comparison Between Neural-Network-Based Adaptive Filtering and Wavelet Transform for ECG Characteristic Points Detection

  • Author

    Szildgyi, S.M. ; Szildgyi, L. ; David, László

  • Author_Institution
    Technical University of Budapest, Hungary
  • Volume
    1
  • fYear
    1997
  • fDate
    Oct. 30 1997-Nov. 2 1997
  • Firstpage
    272
  • Lastpage
    274
  • Keywords
    adaptive signal detection; electrocardiography; medical signal detection; neural nets; wavelet transforms; 50 Hz; ECG characteristic points detection; MIT-BIH database; P waves; T waves; abrupt baseline shift; baseline drift; electrodiagnostics; electromyographic interference; motion; neural-network-based adaptive filtering; noise level corrupted signal; recognition rate; respiration; sampling rate; Adaptive filters; Electrocardiography; Filtering; Fourier transforms; Information analysis; Neural networks; Noise level; Sampling methods; Signal analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL, USA
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-4262-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.1997.754523
  • Filename
    754523
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=335961