• DocumentCode
    602515
  • Title

    ECG denoising using extended Kalman filter

  • Author

    Ouali, M.A. ; Chafaa, K. ; Ghanai, M. ; Lorente, L.M. ; Rojas, D.B.

  • Author_Institution
    Electron. Dept., Univ. Hadj Lakhdar, Batna, Algeria
  • fYear
    2013
  • fDate
    20-22 Jan. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper a combination of Extended Kalman Filter (EKF) and a dynamic model of a synthetic electrocardiogram (ECG) for ECG denoising is proposed. Experimental results show that the proposed algorithm is very efficient for the extraction of the ECG signals from noisy data measurements.
  • Keywords
    Kalman filters; electrocardiography; feature extraction; medical signal processing; nonlinear filters; signal denoising; ECG denoising; ECG signal extraction; EKF; extended Kalman filter; noisy data measurements; synthetic electrocardiogram dynamic model; Electrocardiography; Kalman filters; Mathematical model; Noise measurement; Noise reduction; Signal to noise ratio; Electrocardiogram; Extended; Kalman Filtre; Nonlinear dynamic model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Applications Technology (ICCAT), 2013 International Conference on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4673-5284-0
  • Type

    conf

  • DOI
    10.1109/ICCAT.2013.6521994
  • Filename
    6521994
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=602515