• DocumentCode
    2126031
  • Title

    Sequential analysis for automatic detection of atrial fibrillation and flutter

  • Author

    Christov, I. ; Bortolan ; Daskalov, I.

  • Author_Institution
    Centre of Biomed. Eng., Bulgarian Acad. of Sci., Sofia, Bulgaria
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    293
  • Lastpage
    296
  • Abstract
    A method for automatic detection of atrial flutter and fibrillation by sequential analysis of the atrial activity in a single ECG lead is developed. A previous method for automatic detection of atrial flutter/fibrillation was based on the assessment of atrial activity in TP segments. This approach is used in the present work, connected with ´P wave absence´ and ´ventricular arrhythmia detection, forming a combined algorithm with three consecutive logic steps. The proposed method has been applied on 329 records from a diagnosed atrial flutter-fibrillation database. An improvement of the total accuracy=98.8% and Sensitivity=95.7% was achieved mostly due to the reduction of false negative errors. The sequential analysis correctly detects ´fine´ fibrillation where atrial activity is barely visible, and the effect of electromyogram noise was reduced
  • Keywords
    electrocardiography; medical diagnostic computing; medical signal processing; patient diagnosis; ECG; P wave absence; atrial activity; atrial fibrillation; atrial flutter; electromyogram noise; sequential analysis; ventricular arrhythmia detection; Atrial fibrillation; Biomedical engineering; Circuit noise; Databases; Electrocardiography; Logic; Noise reduction; Rhythm; Sequential analysis; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 2001
  • Conference_Location
    Rotterdam
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-7266-2
  • Type

    conf

  • DOI
    10.1109/CIC.2001.977650
  • Filename
    977650