Non-linear analysis of the main atrial wave to estimate organization in paroxysmal atrial fibrillation

Computers in Cardiology

Volumn 34, Issue , 2007, Pages 545-548

  Alcaraz, R ^a,c   Rieta, J J ^b  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^c Campus Universitario 16071 ^*  (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ATRIAL FIBRILLATIONS; ATRIAL TISSUES; ESTIMATION PERFORMANCE; HEALTH SYSTEMS; NON-LINEAR; NON-LINEAR ANALYSIS; SAMPLE ENTROPIES; SELECTIVE FILTERING; THERAPEUTIC INTERVENTIONS; WAVE FORMS;

CARDIOLOGY; RISK PERCEPTION;

HEALTH RISKS;

EID: 54949152239     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIC.2007.4745543     Document Type: Conference Paper

References (19)

1. Fuster V, Ryden LE, Asinger RW, 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 developed in collaboration with th european heart rhythm association and the heart rhythm society. Europace 2006;8(9):651-745.
2. Bollmann A, Lombardi F. Electrocardiology of atrial fibrillation - Current knowledge and future challenges. IEEE Engineering in Medicine and Biology Magazine 2006; 25(6):15-23.
3. Blomstrom-Lundqvist C, Scheinman MM, Aliot EM, Alpert JS, et. al. ACC/AHA/ESC guidelines for the management of patients with supraventricular arrhythmias. European Heart Journal 2003;24(20):1857-1897.
4. Nilsson F, Stridh M, Bollmann A, Sörnmo L. Predicting spontaneous termination of atrial fibrillation using the surface ECG. Medical Engineering Physics 2006;8:802-808.
5. Holm M, Pehrson S, Ingemansson M, Sörnmo L, Jahansson R, Sandhall L, Sunemark M, Smideberg B, Olsson C, Olsson S. Non-invasive assessment of the atrial cycle length during atrial fibrillation in man: introducing, validating and illustrating a new ECG method. Cardiovasc Res 1998; 38(1):69-81.
6. Pincus SM. Approximate entropy as a measure of system complexity. in Proc Natl Acad Sci USA 1991;88(6):2297-2301.
7. Bollmann A. Quantification of electrical remodeling in human atrial fibrillation. Cardiovasc Res 2000;47:207-209.
8. Goldberger AL, Amaral LA, 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;101(23):e215-e220.
9. Dotsinsky I, Stoyanov T. Optimization of bi-directional digital filtering for drift suppression in electrocardiogram signals. J Med Eng Technol 2004;28(4):178-180.
10. Sun Y, Chan K, Krishnan SM. ECG signal conditioning by morphological filtering. Comput Biol Med 2002; 32(6):465-479.
11. Ferdjallah M, Barr RE. Adaptive digital notch filter design on the unit-circle for the removal of powerline noise from biomedical signals. IEEE Transaction on Biomedical Engineering 1994;42(6):529-536.
12. Richman JS, Moorman JR. Physiological time series analysis using approximate entropy and sample entropy. Am J Physiol 2000;278(6):H2039-H2049.
13. Pincus SM. Assessing serial irregularity and its implications for health. Annals of the New York Academic of Sciences 2001;954:245-267.
14. 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.
15. Sörnmo L, Laguna P. Bioelectrical Signal Processing in Cardiac and Neurological Applications. Elsevier Academic Press, 2005. ISBN 0-12-437552-9.
16. Rabiner LR, McClellan JH, Parks TW. FIR digital filter design techniques using weighted chebyshev approximation. Proc IEEE 1975;63:595-610.
17. Stridh M, Sörnmo L. Spatiotemporal QRST cancellation techniques for analysis of atrial fibrillation. IEEE Trans Biomed Eng 2001;48(1):105-111.
18. Rieta JJ, Castells F, Sanchez C, Zarzoso V, Millet J. Atrial activity extraction for atrial fibrillation analysis using blind source separation. IEEE Trans Biomed Eng 2004; 51(7):1176-1186.
19. Petrutiu S, Nijm GM, Angari HA, Swiryn S, Sahakian AV. Atrial fibrillation and waveform characterization - A time domain perspective in the surface ECG. IEEE Engineering in Medicine and Biology Magazine 2006;25(6):24-30.