• DocumentCode
    2318482
  • Title

    Distant prediction of paroxysmal atrial fibrillation using HRV data analysis

  • Author

    Chesnokov, Y.V. ; Holden, A.V. ; Zhang, H.

  • Author_Institution
    Kuban State Univ., Krasnodar
  • fYear
    2007
  • fDate
    Sept. 30 2007-Oct. 3 2007
  • Firstpage
    455
  • Lastpage
    458
  • Abstract
    The idea of this research is to determine how long in advance can we predict the onset of paroxysmal atrial fibrillation (PAF) from the HRV data. Having established such methods with great confidence it is possible to avert the PAF onset using pacing techniques, thus reliving patient pains.
  • Keywords
    bioelectric phenomena; electrocardiography; medical signal processing; neural nets; HRV data analysis; PAF onset prediction; heart rate variability; pacing techniques; paroxysmal atrial fibrillation distant prediction; Artificial neural networks; Atrial fibrillation; Data analysis; Databases; Electrocardiography; Frequency estimation; Heart rate variability; Neurons; Spectral analysis; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2007
  • Conference_Location
    Durham, NC
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4244-2533-4
  • Electronic_ISBN
    0276-6547
  • Type

    conf

  • DOI
    10.1109/CIC.2007.4745520
  • Filename
    4745520
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2318482