AN ALGORITHM FOR THE DETECTION OF ATRIAL FIBRILLATION USING THE PULSE OXIMETRIC SIGNAL

Giovanni Calcagnini, Michele Triventi, Federica Censi, Eugenio Mattei, Pietro Bartolini, Francesco Mele

Abstract

A method for the discrimination of atrial fibrillation and sinus rhythm from the pulse oximetric signal is presented. The method is based on the analysis of the ventricular rhythm irregularity, quantified by the Coefficient of Variation and the Shannon Entropy of the ventricular inter-beat intervals. A classifier based on the Mahalanobis distance is then applied. Sixty patients with an history of recurrent atrial fibrillation were studied. The method yielded a correct classification of 43 out of 43 patients with sinus rhythm, 14 out of 14 patients with atrial fibrillation, and 3 out of 4 patients with other arrhythmias.

References

  1. Naccarelli, GV., Varker, H., Lin, J., Schulman, KL., 2009. Increasing prevalence of atrial fibrillation and flutter in the United States. Am J Cardiol. Dec 1;104(11):1534-9.
  2. Go, A. S., Hylek, E. M., Phillips, K. A., et al., 2001. Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study. JAMA. May 9;285(18):2370-5.
  3. Kirchhof, P., 2009. Can we improve outcomes in A. F. patients by early therapy? BMC Med. Nov 26;7:72.
  4. Israel, C. W., 2004. Is there a role for pacing in the prevention of atrial tachyarrhythmias? Europace. 6(5):380-3.
  5. Rho, R. W., Page, R. L., 2005. Asymptomatic atrial fibrillation. Prog Cardiovasc Dis.48(2):79-87.
  6. Arya, A., Piorkowski, C., Sommer, P., Kottkamp, H., Hindricks, G., 2007. Clinical implications of various follow up strategies after catheter ablation of atrial fibrillation. Pacing Clin Electrophysiol. Apr;30(4):458-62.
  7. Tateno, K., Glass, L., 2001. Automatic detection of atrial fibrillation using the coefficient of variation and density histograms of RR and delta RR intervals. Med Biol Eng Comput. Nov;39(6):664-71.
  8. Duverney, D., Gaspoz, J. M., Pichot, V., et al., 2002. High accuracy of automatic detection of atrial fibrillation using wavelet transform of heart rate intervals. Pacing Clin Electrophysiol. 25(4 Pt 1):457-62.
  9. Esperer, H. D., Esperer, C., Cohen, R. J., 2008. Cardiac Arrhythmias Imprint Specific Signatures on Lorenz Plots. Annals of Noninvasive Electrocardiology 13(1):44-60.
  10. Hong-Wei, L., Ying, S., Min, L., Pi-Ding, L., Zheng, Z., 2009. A probability density function method for detecting atrial fibrillation using R-R intervals. Med Eng Phys. 31(1):116-23.
  11. Dash, S., Chon, K. H., Lu, S., Raeder, E. A., 2009. Automatic real time detection of atrial fibrillation. Ann Biomed Eng. Sep;37(9):1701-9.
  12. Babaeizadeh, S., Gregg, R. E., Helfenbein, E. D., Lindauer, J. M., Zhou, S. H., 2009. Improvements in atrial fibrillation detection for real-time monitoring. J Electrocardiol. 42(6):522-6.
  13. Park, J., Lee, S., Jeon, M., 2009. Atrial fibrillation detection by heart rate variability in Poincare plot. BioMedical Engineering OnLine 8:38.
  14. Lu, S., Zhao, H., Ju, K., et al., 2008. Can photoplethysmography variability serve as an alternative approach to obtain heart rate variability information? J Clin Monit Comput. 22(1):23-9.
  15. Foo, J. Y., Wilson, S. J., 2006. Detection method to minimize variability in photoplethysmographic signals for timing-related measurement. J Med Eng Technol. 30(2):93-6.
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Paper Citation


in Harvard Style

Calcagnini G., Triventi M., Censi F., Mattei E., Bartolini P. and Mele F. (2011). AN ALGORITHM FOR THE DETECTION OF ATRIAL FIBRILLATION USING THE PULSE OXIMETRIC SIGNAL . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011) ISBN 978-989-8425-35-5, pages 429-432. DOI: 10.5220/0003150804290432


in Bibtex Style

@conference{biosignals11,
author={Giovanni Calcagnini and Michele Triventi and Federica Censi and Eugenio Mattei and Pietro Bartolini and Francesco Mele},
title={AN ALGORITHM FOR THE DETECTION OF ATRIAL FIBRILLATION USING THE PULSE OXIMETRIC SIGNAL },
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)},
year={2011},
pages={429-432},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003150804290432},
isbn={978-989-8425-35-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)
TI - AN ALGORITHM FOR THE DETECTION OF ATRIAL FIBRILLATION USING THE PULSE OXIMETRIC SIGNAL
SN - 978-989-8425-35-5
AU - Calcagnini G.
AU - Triventi M.
AU - Censi F.
AU - Mattei E.
AU - Bartolini P.
AU - Mele F.
PY - 2011
SP - 429
EP - 432
DO - 10.5220/0003150804290432