• DocumentCode
    3061980
  • Title

    RR interval analysis for detection of Atrial Fibrillation in ECG monitors

  • Author

    Ghodrati, Alireza ; Murray, Bill ; Marinello, Stephen

  • Author_Institution
    Algorithm Developments Department of Draeger Medical, 6 Tech Drive, Andover, MA 01810, USA
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    601
  • Lastpage
    604
  • Abstract
    We investigate two RR irregularity measures suitable for Atrial Fibrillation (AFIB) detection in ECG monitors, one based on the absolute deviation and the other based on the difference between successive RR intervals. A sequence of RR intervals is fed to the irregularity measures after applying certain constraints on length and beat classifications to provide criteria for detection of AFIB. Receiver Operating Curves (ROC) are used to analyze and compare the performance of the two methods against MIT-BIH Arrhythmia Database, MIT-BIH AFIB Database and a proprietary AFIB Database.
  • Keywords
    Atrial fibrillation; Databases; Detection algorithms; Electrocardiography; Hidden Markov models; Length measurement; Medical diagnostic imaging; Noise measurement; Performance analysis; Rhythm; Algorithms; Atrial Fibrillation; Data Interpretation, Statistical; Diagnosis, Computer-Assisted; Electrocardiography; Heart Rate; Humans; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4649224
  • Filename
    4649224