AUTOMATIC DETECTION OF ATRIAL FIBRILLATION AND FLUTTER - A Tachogram-based Algorithm for Mobile Devices

Stefanie Kaiser, Malte Kirst, Christophe Kunze

2009

Abstract

Two versions of a new detector for automatic real-time detection of atrial fibrillation and atrial flutter in non-invasive ECG signals are introduced. The methods are based on beat to beat variability, tachogram analysis and simple signal filtering. The implementation on mobile devices is made possible due to the low demand on computing power of the employed analysis procedures. The proposed algorithms correctly identified 436 of 440 five minute episodes of atrial fibrillation or flutter and also correctly identified up to 302 of 342 episodes of no atrial fibrillation, including normal sinus rhythm as well as other cardiac arrhythmias. These numbers correspond to a sensitivity of 99.1% and a specificity of 88.3%.

References

  1. Artis, S., Mark, R., and Moody, G. (1991). Detection of Atrial Fibrillation using Artificial Neural Networks. IEEE Proceedings on Computers in Cardiology, pages 173-176.
  2. Chu, C.-H. H. and Delp, E. J. (1989). Impulsive noise suppression and background normalization of electrocardiogram signals using morphological operators. In IEEE Transactions on Biomedical Engineering, Vol 36, NO. 2, pages 262-273.
  3. Goldberger, A. L., Amaral, L. A. N., Glass, L., Hausdorff, J. M., Ivanov, P. C., Mark, R. G., Mietus, J. E., Moody, G. B., Peng, C.-K., and Stanley, H. E. (2000 (June 13)). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation, 101 (23):e215-e220. Circulation Electronic Pages: http:// circ.ahajournals.org/cgi/content/full/101/23/e215.
  4. Hamilton, P. (2002). Open Source ECG Analysis. IEEE Computers in Cardiology, pages 101-104.
  5. Heeringa, J., van der Kuip, D., Hofman, A., Kors, J., van Herpen, G., Stricker, B., Stijnen, T., Lip, G., and Witteman, J. (2006). Prevalence, incidence and lifetime risk of atrial fibrillation: the Rotterdam study. Europace.
  6. Hohnloser, P. D. S., Grönefeld, P.-D. D. G., and Israel, P.-D. D. C. (2005). Prophylaxe und Therapie von Vorhofflimmern. UNI-MED Verlag, Bremen, London, Boston, 1. edition edition.
  7. Kim, J., Bocek, J., White, H., Crone, B., Alferness, C., and Adams, J. (1995). An atrial fibrillation detection algorithm for an implantable atrial defibrillator. pages 169-172.
  8. M. and Ottenbacher, J. (2008).
  9. http://www.unisens.org. M., Ottenbacher, J., and Nedkov, R. (2008).
  10. UNISENS - Ein universelles Datenformat für Multisensordaten. In Biosignalverarbeitung : Innovationen bei der Erfassung und Analyse bioelektrischer und biomagnetischer Signale, pages 106-108.
  11. Logan, B. and Healey, J. (2005). Robust Detection of Arial Fibrillation for a a Long Term Telemonitoring System. IEEE Computers for Cardiology, pages 391-394.
  12. Ringborg, A., Nieuwlaat, R., Lindgren, P., Jnsson, B., Fidan, D., Maggioni, A., Lopez-Sendon, J., Stepinska, J., Cokkinos, D., and Crijns, H. (2008). Costs of atrial fibrillation in five European countries: results from the Euro Heart Survey on atrial fibrillation. Europace, 10:403-411.
  13. Sadek, L. E. and Ropella, K. M. (1995). Detection of Atrial Fibrillation from the Ssurface Electrocardiogram using Magnitude-Squared Coherence. IEEE Engineering in Medicine and Biology Society, 1:179-180.
  14. Tateno, K. and Glass, L. (2000). A Method for Detection of Atrial Fibrillation using RR Intervals. IEEE Computers for Cardiology, pages 391-394.
Download


Paper Citation


in Harvard Style

Kaiser S., Kirst M. and Kunze C. (2009). AUTOMATIC DETECTION OF ATRIAL FIBRILLATION AND FLUTTER - A Tachogram-based Algorithm for Mobile Devices . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009) ISBN 978-989-8111-65-4, pages 131-138. DOI: 10.5220/0001547201310138


in Bibtex Style

@conference{biosignals09,
author={Stefanie Kaiser and Malte Kirst and Christophe Kunze},
title={AUTOMATIC DETECTION OF ATRIAL FIBRILLATION AND FLUTTER - A Tachogram-based Algorithm for Mobile Devices},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)},
year={2009},
pages={131-138},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001547201310138},
isbn={978-989-8111-65-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)
TI - AUTOMATIC DETECTION OF ATRIAL FIBRILLATION AND FLUTTER - A Tachogram-based Algorithm for Mobile Devices
SN - 978-989-8111-65-4
AU - Kaiser S.
AU - Kirst M.
AU - Kunze C.
PY - 2009
SP - 131
EP - 138
DO - 10.5220/0001547201310138