A novel application of sample entropy to the electrocardiogram of atrial fibrillation

Nonlinear Analysis: Real World Applications

Volumn 11, Issue 2, 2010, Pages 1026-1035

  Alcaraz, R ^a   Rieta, J J ^b  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Atrial activity; Atrial fibrillation; Electrocardiogram; Sample entropy

Indexed keywords

ATRIAL ACTIVITY; ATRIAL ELECTROGRAMS; ATRIAL FIBRILLATION; ATRIAL FIBRILLATION ELECTROCARDIOGRAMS; CARDIAC RHYTHMS; CLINICAL PRACTICES; ECG RECORDING; ELECTRICAL ACTIVITIES; HEART RATES; NON-INVASIVE; NON-LINEAR; NOVEL APPLICATIONS; SAMPLE ENTROPY; SIMULATION STUDIES; TERMINATION PROPERTY; TEST SETS; TRAINING SETS;

ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; ENTROPY;

FORESTRY;

EID: 70449707305     PISSN: 14681218     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.nonrwa.2009.01.047     Document Type: Article

References (48)

1. Kannel W.B., Wolf P.A., Benjamin E.J., and Levy D. Prevalence, incidence, prognosis, and predisposing conditions for atrial fibrillation: Population-based estimates. Am. J. Cardiol. 82 8A (1998) 2N-9N
2. Fuster V., Rydén L.E., Cannom D.S., Crijns H.J., et al. ACC/AHA/ESC 2006 guidelines for the management of patients with atrial fibrillation: A report of the American College of Cardiology/American Heart Association Task Force on practice guidelines and the European Society of Cardiology Committee for practice guidelines (writing committee to revise the 2001 guidelines for the management of patients with atrial fibrillation): developed in collaboration with the european heart rhythm association and the heart rhythm society. Circulation 114 7 (2006) e257-e354
3. Al-Khatib S.M., Wilkinson W.E., Sanders L.L., McCarthy E.A., and Pritchett E.L. Observations on the transition from intermittent to permanent atrial fibrillation. Am. Heart J. 140 1 (2000) 142-145
4. Bollmann A., Husser D., Mainardi L., Lombardi F., Langley P., Murray A., Rieta J.J., Millet J., Olsson S.B., Stridh M., and Sörnmo L. Analysis of surface electrocardiograms in atrial fibrillation: Techniques, research, and clinical applications. Europace 8 11 (2006) 911-926
5. Petrutiu S., Ng J., Nijm G.M., Al-Angari H., Swiryn S., and Sahakian A.V. Atrial fibrillation and waveform characterization. A time domain perspective in the surface ECG. IEEE Eng. Med. Biol. Mag. 25 6 (2006) 24-30
6. Bollmann A., and Lombardi F. Electrocardiology of atrial fibrillation. Current knowledge and future challenges. IEEE Eng. Med. Biol. Mag. 25 6 (2006) 15-23
7. Kneller J., Kalifa J., Zou R., Zaitsev A.V., Warren M., Berenfeld O., Vigmond E.J., Leon L.J., Nattel S., and Jalife J. Mechanisms of atrial fibrillation termination by pure sodium channel blockade in an ionically-realistic mathematical model. Circ. Res. 96 5 (2005) e35-e47
8. Qu Z., and Weiss J.N. Dynamics and cardiac arrhythmias. J. Cardiovasc. Electrophysiol. 17 9 (2006) 1042-1049
9. Takahashi Y., Sanders P., Jaïs P., Hocini M., Dubois R., Rotter M., Rostock T., Nalliah C.J., Sacher F., Clémenty J., and Haïssaguerre M. Organization of frequency spectra of atrial fibrillation: Relevance to radiofrequency catheter ablation. J. Cardiovasc. Electrophysiol. 17 4 (2006) 382-388
10. Konings K.T., Kirchhof C.J., Smeets J.R., Wellens H.J., Penn O.C., and Allessie M.A. High-density mapping of electrically induced atrial fibrillation in humans. Circulation 89 4 (1994) 1665-1680
11. Bollmann A. Quantification of electrical remodeling in human atrial fibrillation. Cardiovasc. Res. 47 2 (2000) 207-209
12. Corino V.D.A., Sassi R., Mainardi L.T., and Cerutti S. Signal processing methods for information enhancement in atrial fibrillation: Spectral analysis and non-linear parameters. Biomed. Signal Processing and Control 1 (2006) 271-281
13. Goldberger A.L., Amaral L.A., Glass L., Hausdorff J.M., Ivanov P.C., Mark R.G., Mietus J.E., Moody G.B., Peng C.K., and Stanley H.E. Physiobank, physiotoolkit, and physionet: Components of a new research resource for complex physiologic signals. Circulation 101 23 (2000) E215-E220
14. Boucheham B., Ferdi Y., and Batouche M.C. Piecewise linear correction of ECG baseline wander: A curve simplification approach. Comput. Methods Programs Biomed. 78 1 (2005) 1-10
15. Dotsinsky I., and Stoyanov T. Optimization of bi-directional digital filtering for drift suppression in electrocardiogram signals. J. Med. Eng. Technol. 28 4 (2004) 178-180
16. Sun Y., Chan K., and Krishnan S.M. ECG signal conditioning by morphological filtering. Comput. Biol. Med. 32 6 (2002) 465-479
17. Hamilton P.S., Curley M., and Aimi R. Effect of adaptive motion-artifact reduction on QRS detection. Biomed. Instrum. Technol. 34 3 (2000) 197-202
18. Ferdjallah M., and Barr R.E. Adaptive digital notch filter design on the unit circle for the removal of powerline noise from biomedical signals. IEEE Trans. Biomed. Eng. 41 6 (1994) 529-536
19. Nilsson F., Stridh M., Bollmann A., and Sörnmo L. Predicting spontaneous termination of atrial fibrillation using the surface ECG. Med. Eng. Phys. 28 8 (2006) 802-808
20. Pan J., and Tompkins W.J. A real-time QRS detection algorithm. IEEE Trans. Biomed. Eng. 32 3 (1985) 230-236
21. Langley P., Smith F.E., King S.T., Zheng D., Haigh A.J., and Murray A. Fully automated computer measurement of QT interval from the 12-lead electrocardiogram. Proc. Comput. Cardiol. 33 (2006) 345-348
22. Christov I.I., and Simova I.I. Fully automated method for QT interval measurement in ECG. Proc. Comput. Cardiol. 33 (2006) 321-324
23. Daskalov I.K., and Christov I.I. Electrocardiogram signal preprocessing for automatic detection of QRS boundaries. Med. Eng. Phys. 21 1 (1999) 37-44
24. Zhang Q., Manriquez A.I., Médigue C., Papelier Y., and Sorine M. An algorithm for robust and efficient location of T-wave ends in electrocardiograms. IEEE Trans. Biomed. Eng. 53 12 Pt 1 (2006) 2544-2552
25. Alcaraz R., and Rieta J.J. Adaptive singular value cancelation of ventricular activity in single-lead atrial fibrillation electrocardiograms. Physiol. Meas. 29 12 (2008) 1351-1369
26. Richman J.S., and Moorman J.R. Physiological time-series analysis using approximate entropy and sample entropy. Am. J. Physiol. Heart Circ. Physiol. 278 6 (2000) H2039-H2049
27. Pincus S.M. Approximate entropy as a measure of system complexity. Proc. Natl. Acad. Sci. USA 88 6 (1991) 2297-2301
28. Lake D.E., Richman J.S., Griffin M.P., and Moorman J.R. Sample entropy analysis of neonatal heart rate variability. Am. J. Physiol. Regul. Integr. Comp. Physiol. 283 3 (2002) R789-797
29. Pincus S.M. Assessing serial irregularity and its implications for health. Ann. New York Acad. Sci. 954 (2001) 245-267
30. Pincus S.M., and Keefe D.L. Quantification of hormone pulsatility via an approximate entropy algorithm. Am. J. Physiol. 262 5 Pt 1 (1992) E741-E754
31. Kaplan D.T., Furman M.I., Pincus S.M., Ryan S.M., Lipsitz L.A., and Goldberger A.L. Aging and the complexity of cardiovascular dynamics. Biophys. J. 59 4 (1991) 945-949
32. Stridh M., and Sörnmo L. Spatiotemporal QRST cancellation techniques for analysis of atrial fibrillation. IEEE Trans. Biomed. Eng. 48 1 (2001) 105-111
33. McSharry P.E., Clifford G.D., Tarassenko L., and Smith L.A. A dynamical model for generating synthetic electrocardiogram signals. IEEE Trans. Biomed. Eng. 50 3 (2003) 289-294
34. Hoekstra B.P., Diks C.G., Allessie M.A., and DeGoede J. Nonlinear analysis of epicardial atrial electrograms of electrically induced atrial fibrillation in man. J. Cardiovasc. Electrophysiol. 6 6 (1995) 419-440
35. Wells J.L., Karp R.B., Kouchoukos N.T., MacLean W.A., James T.N., and Waldo A.L. Characterization of atrial fibrillation in man: Studies following open heart surgery. Pacing Clin. Electrophysiol. 1 4 (1978) 426-438
36. Censi F., Barbaro V., Bartolini P., Calcagnini G., Michelucci A., and Cerutti S. Non-linear coupling of atrial activation processes during atrial fibrillation in humans. Biol. Cybern. 85 3 (2001) 195-201
37. Masè M., Faes L., Antolini R., Scaglione M., and Ravelli F. Quantification of synchronization during atrial fibrillation by shannon entropy: Validation in patients and computer model of atrial arrhythmias. Physiol. Meas. 26 6 (2005) 911-923
38. Mainardi L.T., Corino V.D.A., Lombardi L., Tondo C., Mantica M., Lombardi F., and Cerutti S. Linear and nonlinear coupling between atrial signals. Three methods for the analysis of the relationships among atrial electrical activities in different sites. IEEE Eng. Med. Biol. Mag. 25 6 (2006) 63-70
39. Mainardi L.T., Porta A., Calcagnini G., Bartolini P., Michelucci A., and Cerutti S. Linear and non-linear analysis of atrial signals and local activation period series during atrial-fibrillation episodes. Med. Biol. Eng. Comput. 39 2 (2001) 249-254
40. Sih H.J., Zipes D.P., Berbari E.J., and Olgin J.E. A high-temporal resolution algorithm for quantifying organization during atrial fibrillation. IEEE Trans. Biomed. Eng. 46 4 (1999) 440-450
41. Chiarugi F., Varanini M., Cantini F., Conforti F., and Vrouchos G. Noninvasive ECG as a tool for predicting termination of paroxysmal atrial fibrillation. IEEE Trans. Biomed. Eng. 54 8 (2007) 1399-1406
42. Hayn D., Kollmann A., and Schreier G. Predicting initiation and termination of atrial fibrillation from the ECG. Biomed. Tech. (Berlin) 52 1 (2007) 5-10
43. Moody G.B. Spontaneous termination of atrial fibrillation: A challenge from physionet and computers in cardiology 2004. Proc. Comput. Cardiol. 31 (2004) 101-104
44. Haïssaguerre M., Sanders P., Hocini M., Hsu L.-F., Shah D.C., Scavée C., Takahashi Y., Rotter M., Pasquié J.-L., Garrigue S., Clémenty J., and Jaïs P. Changes in atrial fibrillation cycle length and inducibility during catheter ablation and their relation to outcome. Circulation 109 24 (2004) 3007-3013
45. Petrutiu S., Sahakian A.V., J.Ng, and Swiryn S. Analysis of the surface electrocardiogram to predict termination of atrial fibrillation: The 2004 computers in cardiology/physionet challenge. Proc. Comput. Cardiol. 31 (2004) 105-108
46. Mora C., Castells F., Ruiz R., Rieta J.J., Millet J., Sánchez C., and Morell S. Prediction of spontaneous termination of atrial fibrillation using time frequency analysis of the atrial fibrillatory wave. Proc. Comput. Cardiol. 31 (2004) 109-112
47. Nilsson F., Stridh M., Bollmann A., and Sörnmo L. Predicting spontaneous termination of atrial fibrillation with time-frequency information. Proc. Comput. Cardiol. 31 (2004) 657-660
48. Stridh M., Sörnmo L., Meurling C.J., and Olsson S.B. Sequential characterization of atrial tachyarrhythmias based on ECG time-frequency analysis. IEEE Trans. Biomed. Eng. 51 1 (2004) 100-114