Detection of Atrial Tachycardia and Atrial Fibrillation Using Spectrum Analysis of Intracardiac Signal

Intracardiac Signal의 스펙트럼 분석을 통한 Atrial Tachycardia 및 Atrial Fibrillation 검출

  • 이충근 (연세대학 전기전자공학과) ;
  • 정보영 (연세대학 의과대학) ;
  • 이명호 (연세대학 전기전자공학과) ;
  • 신항식 (연세대학 전기전자공학과)
  • Published : 2006.03.01

Abstract

Detection methods for atrial tachycardia and atrial fibrillation on the time axis have the advantages of light operational load and are easy to apply to various applications. Despite these advantages, arrhythmia detection algorithm on the time axis cannot stand much noise such as motion artifacts, moreover the peak detection algorithm has high complexity. In this paper, we use a spectrum analysis method for the detection of atrial tachycardia and atrial fibrillation. By applying spectrum analysis and digital filtering on obtained electrogram signals, we can diagnose heart arrhythmia without using peak detection algorithm.

Keywords

References

  1. Mohammad H. Asgarian, 'Design of Cardiac Pacemakers - Artificial Pacing,' IEEE, p.111-128,1995
  2. Jose L. Rojo-Alverez, Angel Arenal-Maiz, Antonio Artes-Rodriguez, 'Discriminating Between Supraventricular and Ventricular Tachycardias from EGM Onset Analysis', IEEE January/February 2002 https://doi.org/10.1109/51.993190
  3. Janice M. Jenkins, Stephanie A. Caswell, 'Detection Algorithms in Implantable Cardioverter Defibrillators', IEEE, 1996 https://doi.org/10.1109/5.486745
  4. T. Kokama, S. Nakamura, H. Hoshino, 'An efficient RR interval detection ECG monitoring system.' IEICE Trans. Inf. & Syst., vol. E82-D, no. 10, pp. 1425-1432, Oct., 1999
  5. J. Pan and W. J. Tompkins, 'A real-time QRS detection alogrithm', IEEE Trans. Biomed Eng., BME-32, No. 3, pp. 230-236, 1985 https://doi.org/10.1109/TBME.1985.325532
  6. U Achleitener, et al, 'waveform of external defibrillators: analysis and energy contribution, Resuscitation, vol. 41, pp. 193-200, 1999 https://doi.org/10.1016/S0300-9572(99)00070-2