• DocumentCode
    3178053
  • Title

    Epicardial atrial activation assessment from the surface ECG in atrial fibrillation

  • Author

    Rieta, Jj ; Hornero, F. ; Sánchez, C. ; Vayá, C. ; Moratal, D.

  • Author_Institution
    Bioeng., Electron. & Telemedicine, Valencia Univ. of Technol.
  • fYear
    2005
  • fDate
    25-28 Sept. 2005
  • Firstpage
    941
  • Lastpage
    944
  • Abstract
    Atrial fibrillation (AF) is one of the most common complication of cardiothoracic surgery affecting from 30% up to 60% of the patients. In this study 15 patients undergoing cardiac surgery, that developed postoperative atrial fibrillation, were selected to assess if the information available in epicardial recordings can be recovered with the only use of body surface recordings. Surface ECGs were processed by independent component analysis (ICA) to extract a unified surface atrial activity (AA) that takes into account the atrial contribution of each lead. Next, the estimated AA has been compared with epicardial recordings, the spectral cross-correlation being 85.34plusmn11.08% (range 60.57-97.31) and the average spectral coherence 70.10plusmn9.46% (range 54.92-83.95). Therefore, this study has assessed that information provided by the surface ICA-estimated AA is a valid and useful tool to analyze the properties of atrial activation patterns in AF patients, thus allowing to improve the information about atrial arrhythmias in those patients where epicardial recordings are unavailable
  • Keywords
    correlation methods; diseases; electrocardiography; feature extraction; independent component analysis; medical signal processing; muscle; surgery; ICA; atrial activity extraction; atrial arrhythmia; atrial fibrillation; body surface recording; cardiothoracic surgery; epicardial atrial activation assessment; epicardial recording; independent component analysis; spectral coherence; spectral cross-correlation; surface ECG; Atrial fibrillation; Biomedical engineering; Cardiology; Electrocardiography; Electrodes; Hospitals; Independent component analysis; Surgery; Technological innovation; Telemedicine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2005
  • Conference_Location
    Lyon
  • Print_ISBN
    0-7803-9337-6
  • Type

    conf

  • DOI
    10.1109/CIC.2005.1588263
  • Filename
    1588263