• DocumentCode
    2771523
  • Title

    Independent Component Analysis of Body Surface Potential Mapping Recordings with Atrial Fibrillation

  • Author

    Llinares, Raul ; Igual, Jorge ; Millet, Jose ; Guillem, Maria

  • Author_Institution
    Univ. Politecnica Valencia, Valencia
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    2287
  • Lastpage
    2294
  • Abstract
    Body surface potential mapping BSPM is an advanced electrocardiographic technique aimed at estimating the global potential distribution by recording potentials at multiple sites on the thoracic surface. In patients with atrial fibrillation the recorded potentials can be modelled as a linear mixture of the statistically independent atrial and ventricular activities. In order to extract atrial activity from surface recordings, we propose the independent component analysis of 64-lead BSPM recordings with atrial fibrillation. We apply also ICA to the 12-lead classical ECG and compare the results. This analysis shows that increasing the number of leads not only improves the quality of the extraction of the atrial activity but it allows an optimization of the localization of the leads. We introduce also a new index to measure the quality of the extraction. The BSPM recordings can also be used to obtain the best locations in order to select the minimum number of leads required to extract the AA, an important feature for long time recordings.
  • Keywords
    electrocardiography; independent component analysis; medical signal processing; ECG; atrial fibrillation; body surface potential mapping recordings; cardiac arrhythmia; electrocardiographic technique; global potential distribution; independent component analysis; Atrial fibrillation; Blood; Contracts; Electrocardiography; Heart; Independent component analysis; Muscles; Myocardium; Pumps; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2006. IJCNN '06. International Joint Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9490-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2006.247027
  • Filename
    1716397