• DocumentCode
    2680850
  • Title

    Independent Component Approach for the Analysis of ECG Signals

  • Author

    Nimitha, U. ; Supriya, P.

  • Author_Institution
    Dept of EEE, Amrita Vishwa Vidyapeetham, Coimbatore, India
  • fYear
    2011
  • fDate
    20-22 July 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Automated analysis of electrocardiogram (ECG) has got great attention for cardiac diagnosis in the recent years. This paper describes two different ECG analysis algorithms using Independent Component Analysis (ICA) algorithm. ICA refers to set of algorithms for blind source separation (BSS). The underlying principle is to separate N signals from a mix of different source contributions, into signals of independent components. The simulation is proposed to be done in MATLAB.
  • Keywords
    adaptive signal processing; blind source separation; electrocardiography; independent component analysis; maximum entropy methods; medical signal processing; patient diagnosis; ECG signal analysis; MATLAB; blind source separation; cardiac diagnosis; electrocardiogram; equivariance adaptive separation; independent component analysis; maximum entropy ICA; Algorithm design and analysis; Electrocardiography; Entropy; Independent component analysis; Signal processing algorithms; Source separation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Process Automation, Control and Computing (PACC), 2011 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-61284-765-8
  • Type

    conf

  • DOI
    10.1109/PACC.2011.5979049
  • Filename
    5979049
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2680850