Wavelet sample entropy: A new approach to predict termination of atrial fibrillation

Computers in Cardiology

Volumn 33, Issue , 2006, Pages 597-600

  Alcaraz, R ^a   Vaya C ^a   Cervigon R ^a   Sanchez C ^a   Rieta, J J ^b  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CARDIOLOGY; MECHANISMS; TESTING; WAVELET TRANSFORMS;

ATRIAL FIBRILLATION; FREQUENCY ANALYSIS; MEAN VALUES; NEW APPROACHES; ON TIME; SAMPLE ENTROPY; TEST SIGNALS;

ENTROPY;

EID: 38049045437     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Fuster V, Ryden LE, Asinger RW, et al. ACC/AHA/ESC guidelines for the management of patients with atrial fibrillation. Journal of the American College of Cardiology 2001;38(4):1266i-1266lxx.
2. Kneller J, Kalifa J, Zou RQ, Zaitsev AV, Warren M, Berenfeld O, Vigmond EJ, Leon LJ, Nattel S, Jalife J. Mechanisms of atrial fibrillation termination by pure sodium channel blockade in an ionically-realistic mathematical model. Circulation Research 2005;96(5):E35-E47.
3. Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PC, Mark RG, Mietus JE, Moody GB, Peng CK, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation 2000 (June 13);101(23):e215-e220. Circulation Electronic Pages: http://circ.ahajournals.org/cgi/content/full/101/23/e215.
4. Bollmann A, Husser D, Mainardi L, Lombardi F, Langley P, Murray A, Rieta JJ, Millet J, Olsson SB, Stridh M, Sornmo L. Analysis of surface electrocardiograms in atrial fibrillation: Techniques, research and clinical applications. Europace in press 2006;.
5. Slocum J, Sahakian A, Swiryn S. Diagnosis of atrial-fibrillation from surface electrocardiograms based on computer-detected atrial activity. Journal of Electrocardiology 1992;25(1):1-8.
6. Rajoub BA. An efficient algorithm for the compression of ECG signals using the wavelet transforms. IEEE Trans Biomed Eng 2002;49(4):355-362.
7. Martinez JP, Almeida R, Olmos S, Rocha AP, Laguna P. A wavelet-based ECG delineator: Evaluation on standard databases. IEEE Trans Biomed Eng 2004;51(4):570-581.
8. Wiklund U, Akay M, Niklasson U. Short-term analysis of heart rate variability by adapted wavelet transforms. IEEE Eng Med Biol 1997;16:113-118.
9. H. Inoue AM. A noise reduction method for ECG signals using the dyadic wavelet transform. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences 1998;E81A:1001-1007.
10. Addison PS. The IllustratedWavelet Transform Handbook. 1st edition. Taylor & Francis, 2001.
11. Ferrari M, Signorini MG, Mavenes G, Cerutti S. Comparison of entropy based regularity estimators: Application to the fetal heart rate signal for the identification of fetal distress. IEEE Trans Biomed Eng 2006;53(1):119-125.
12. Pincus SM. Approximate entropy (apen) as complexity measure. Chaos 1995;5(1):110-117.
13. Richmann JS, Moorman JR. Physiological time-series analysis using approximate entropy and sample entropy. Am J Physiol Heart Circ Physiol 2000;278:2039-2049.
14. Rosso OA, Martin MT, Plastino A. Evidence of self-organization in brain electrical activity using wavelet-based information tools. Physica A Statistical and Theorical Physics 2005;347:444-464.
15. Al-Nashash HA, Thakor NV. Monitoring of global cerebral ischemia using wavelet entropy rate of change. IEEE Trans Biomed Eng 2006;52(12):2119-2122.
16. Hornero R, Abasolo D, Jimeno N, Sanchez CI, Poza J, Aboy M. Variability, regularity and complexity of time series generated by schizophrenic patients and control subjects. IEEE Trans Biomed Eng 2006;53(2):210-218.
17. Nilson F, Stridh M, Bollmann A, Sörnmo L. Predicting spontaneous termination of atrial fibrillation using the surface ECG. Medical Engineering Physics 2006;28:802-808.
18. Mora C, Castells F, Ruiz R, Rieta JJ, Millet J, Sanchez C, Morell S. Prediction of spontaneous termination of atrial fibrillation using time frequency analysis of the atrial fibrillatory wave. In Computers in Cardiology, volume 31. Los Alamitos, CA: IEEE, 2004; 109-112.
19. Petrutiu S, Sahakian AV, Ng J, Swiryn S. Analysis of the surface electrocardiogram to predict termination of atrial fibrillation: the 2004 computers in cardiology/physionet challenge. Computers in Cardiology 2004;105-108.