Atrial Fibrillation detection using time-varying coherence function and Shannon Entropy

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 4685-4688

  Lee, J ^a   McManus, D ^b   Chon, K ^a  

^a Worcester Polytechnic Institute   (United States)

^b UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATRIAL FIBRILLATION; AUTOMATIC DETECTION; DATA SEGMENT; DETECTION ALGORITHM; INPUT AND OUTPUTS; INPUT SIGNAL; MIT-BIH DATABASE; NORMAL SINUS RHYTHM; RECEIVER OPERATING CHARACTERISTIC CURVES; RR INTERVALS; SHANNON ENTROPY; TIME-VARYING COHERENCE FUNCTIONS; TIME-VARYING TRANSFER FUNCTIONS;

DATABASE SYSTEMS; DISEASES; TIME SERIES; TIME VARYING SYSTEMS;

SIGNAL DETECTION;

ALGORITHM; ARTICLE; ENTROPY; FOURIER ANALYSIS; HEART ATRIUM FIBRILLATION; HUMAN; THEORETICAL MODEL;

ALGORITHMS; ATRIAL FIBRILLATION; ENTROPY; FOURIER ANALYSIS; HUMANS; MODELS, THEORETICAL;

EID: 84863598117     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091160     Document Type: Conference Paper

References (19)

1. A. S. Go, E. M. Hylek, K. A. Phillips et al., "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, vol. 285, no. 18, pp. 2370-5, May 9, 2001.
2. I. Hajjar, and T. A. Kotchen, "Trends in prevalence, awareness, treatment, and control of hypertension in the United States, 1988-2000," JAMA, vol. 290, no. 2, pp. 199-206, Jul 9, 2003.
3. T. S. Tsang, G. W. Petty, M. E. Barnes et al., "The prevalence of atrial fibrillation in incident stroke cases and matched population controls in Rochester, Minnesota: changes over three decades," J Am Coll Cardiol, vol. 42, no. 1, pp. 93-100, Jul 2, 2003.
4. M. Fukunami, T. Yamada, M. Ohmori et al., "Detection of patients at risk for paroxysmal atrial fibrillation during sinus rhythm by P wave-triggered signal-averaged electrocardiogram," Circulation, vol. 83, no. 1, pp. 162-9, Jan, 1991.
5. G. Opolski, P. Scislo, J. Stanislawska et al., "Detection of patients at risk for recurrence of atrial fibrillation after successful electrical cardioversion by signal-averaged P-wave ECG," Int J Cardiol, vol. 60, no. 2, pp. 181-5, Jul 25, 1997.
6. M. Budeus, M. Hennersdorf, C. Perings et al., "[Detection of atrial late potentials with P wave signal averaged electrocardiogram among patients with paroxysmal atrial fibrillation]," Z Kardiol, vol. 92, no. 5, pp. 362-9, May, 2003.
7. D. Michalkiewicz, M. Dziuk, G. Kaminski et al., "[Detection of patients at risk for paroxysmal atrial fibrillation (PAF) by signal averaged P wave, standard ECG and echocardiography]," Pol Merkur Lekarski, vol. 20, no. 115, pp. 69-72, Jan, 2006.
8. S. Dash, K. H. Chon, S. Lu et al., "Automatic real time detection of atrial fibrillation," Ann Biomed Eng, vol. 37, no. 9, pp. 1701-9, Sep, 2009.
9. N. Kikillus, G. Hammer, N. Lentz et al., "Three different algorithms for identifying patients suffering from atrial fibrillation during atrial fibrillation free phases of the ECG," Comput. Cardiol., vol. 34, pp. 801-804, 2007.
10. B. Logan, and J. Healey, "Robust detection of atrial fibrillation for a long term telemmonitoring system," Comput. Cardiol., vol. 32, pp. 619-622, 2005.
11. K. Tateno, and L. Glass, "Automatic detection of atrial fibrillation using the coefficient of variation and density histograms of RR and deltaRR intervals," Med Biol Eng Comput, vol. 39, no. 6, pp. 664-71, Nov, 2001.
12. C. Huang, S. Ye, H. Chen et al., "A novel method for detection of the transition between atrial fibrillation and sinus rhythm," IEEE Trans Biomed Eng, vol. 58, no. 4, pp. 1113-9, Apr, 2011.
13. L. S. Sarraf, J. A. Roth, and K. M. Ropella, "Differentiation of atrial rhythms from the electrocardiogram with coherence spectra," J Electrocardiol, vol. 35, no. 1, pp. 59-67, Jan, 2002.
14. E. G. Lovett, and K. M. Ropella, "Time-frequency coherence analysis of atrial fibrillation termination during procainamide administration," Ann Biomed Eng, vol. 25, no. 6, pp. 975-84, Nov-Dec, 1997.
15. S. L. Marple, Digital Spectral Analysis with Applications, Englewood Cliffs, NJ: Prentice Hall, 1987.
16. H. Zhao, S. Lu, R. Zou et al., "Estimation of time-varying coherence function using time-varying transfer functions," Ann Biomed Eng, vol. 33, no. 11, pp. 1582-94, Nov, 2005.
17. R. Zou, H. Wang, and K. H. Chon, "A robust time-varying identification algorithm using basis functions," Ann Biomed Eng, vol. 31, no. 7, pp. 840-53, Jul-Aug, 2003.
18. J. Lee, and K. H. Chon, "Time-varying autoregressive model-based multiple modes particle filtering algorithm for respiratory rate extraction from pulse oximeter," IEEE Trans Biomed Eng, vol. 58, no. 3, pp. 790-4, Mar, 2011.
19. L. Faes, G. Nollo, and K. H. Chon, "Assessment of Granger causality by nonlinear model identification: application to short-term cardiovascular variability," Ann Biomed Eng, vol. 36, no. 3, pp. 381-95, Mar, 2008.