Automatic online detection of atrial fibrillation based on symbolic dynamics and Shannon entropy

BioMedical Engineering Online

Volumn 13, Issue 1, 2014, Pages

  Zhou, Xiaolin ^a,b   Ding, Hongxia ^a,b   Ung, Benjamin ^c   Pickwell MacPherson, Emma ^c   Zhang, Yuanting ^a,b,c  

^a SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Atrial fibrillation; ECG; Integer filter; Nonlinear filter; RR interval; Shannon entropy; Symbolic dynamics

Indexed keywords

DISEASES; DYNAMICS; ELECTROCARDIOGRAPHY; NONLINEAR FILTERING; DATABASE SYSTEMS; SOCIAL NETWORKING (ONLINE);

ATRIAL FIBRILLATION; INTEGER FILTER; RR INTERVALS; SHANNON ENTROPY; SYMBOLIC DYNAMICS;

DATABASE SYSTEMS; DISEASES;

ALGORITHM; ANALYTIC METHOD; ANALYTICAL PARAMETERS; ARTICLE; AUTOMATIC ONLINE DETECTION; CARDIOVASCULAR PARAMETERS; DIAGNOSTIC ACCURACY; ELECTROCARDIOGRAM; ENTROPY; HEART ATRIUM FIBRILLATION; HEART BEAT; HUMAN; MOLECULAR DYNAMICS; ONLINE ANALYTICAL PROCESSING; ONLINE SYSTEM; PERCEPTIVE DISCRIMINATION; PREDICTIVE VALUE; RECEIVER OPERATING CHARACTERISTIC; RR INTERVAL; SENSITIVITY AND SPECIFICITY; SHANNON ENTROPY; SINUS RHYTHM; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; ELECTROCARDIOGRAPHY; INFORMATION PROCESSING; AUTOMATION; ELECTROCARDIOGRAPHY MONITORING; FACTUAL DATABASE; NONLINEAR SYSTEM; ONLINE ANALYSIS; PRIORITY JOURNAL; SYMBOLIC DYNAMICS;

ALGORITHMS; ATRIAL FIBRILLATION; AUTOMATIC DATA PROCESSING; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY; ENTROPY; HUMANS; ONLINE SYSTEMS; ROC CURVE; SOFTWARE;

EID: 84899491108     PISSN: None     EISSN: 1475925X     Source Type: Journal    
DOI: 10.1186/1475-925X-13-18     Document Type: Article

References (31)

1. Mathew S, Patel J, Joseph S. Atrial fibrillation: mechanistic insights and treatment options. Eur J Intern Med 2009, 20(7):672-681. 10.1016/j.ejim.2009.07.011, 19818285.
2. Fuster V, Rydén L, Asinger R, Cannom D, Crijns H, Frye R, Halperin J, Neal Kay G, Klein W, Lévy S, Mcnamara R, Prystowsky E, Samuel Wann L, George Wyse D, Gibbons R, Antman E, Alpert J, Faxon D, Gregoratos G, Hiratzka L, Jacobs A, Russell R, Smith S, Alonso-Garcia A, Blomström-Lundqvist C, De Backer G, Flather M, Hradec J, Oto A, Parkhomenko A, et al. ACC/AHA/ESC guidelines for the management of patients with atrial fibrillation: executive summary: 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 and Policy Conferences (Committee to Develop Guidelines for the Management of Patients With Atrial fibrillation) developed in collaboration with the North American Society of Pacing and Electrophysiology. J Am Coll Cardiol 2001, 38(4):1231-1265. 10.1016/S0735-1097(01)01587-X, 11583910.
3. Petrutiu S, Ng J, Nijm G, Al-Angari H, Swiryn S, Sahakian A. Atrial fibrillation and waveform characterization. IEEE Eng Med Biol Mag 2006, 25(6):24-30.
4. Hylek E, Go A, Chang Y, Jensvold N, Henault L, Selby J, Singer D. Effect of intensity of oral anticoagulation on stroke severity and mortality in atrial fibrillation. N Engl J Med 2003, 349(11):1019-1026. 10.1056/NEJMoa022913, 12968085.
5. Miyasaka Y, Barnes M, Gersh B, Cha S, Bailey K, Abhayaratna W, Seward J, Tsang T. Secular trends in incidence of atrial fibrillation in Olmsted County, Minnesota, 1980 to 2000, and implications on the projections for future prevalence. Circulation 2006, 114(2):119-125. 10.1161/CIRCULATIONAHA.105.595140, 16818816.
6. Gami A, Pressman G, Caples S, Kanagala R, Gard J, Davison D, Malouf J, Ammash N, Friedman P, Somers V. Association of atrial fibrillation and obstructive sleep apnea. Circulation 2004, 110(4):364-367. 10.1161/01.CIR.0000136587.68725.8E, 15249509.
7. Mukamal K, Tolstrup J, Friberg J, Jensen G, Grønbæk M. Alcohol consumption and risk of atrial fibrillation in men and women the Copenhagen City Heart Study. Circulation 2005, 112(12):1736-1742. 10.1161/CIRCULATIONAHA.105.547844, 16157768.
8. Moody G, Mark R. A new method for detecting atrial fibrillation using RR intervals. Computers in Cardiology 1983, Volume 10 1983, 227-230. Aachen: IEEE Computer Society Press.
9. Artis S, Mark R, Moody G. Detection of atrial fibrillation using artificial neural networks. Computers in Cardiology 1991 1991, 173-176. Venice: IEEE Computer Society Press.
10. Kikillus N, Hammer G, Lentz N, Stockwald F, Bolz A. Three different algorithms for identifying patients suffering from atrial fibrillation during atrial fibrillation free phases of the ECG. Computers in Cardiology 2007 2007, 801-804. Durham: IEEE.
11. Dash S, Chon K, Lu S, Raeder E. Automatic real time detection of atrial fibrillation. Ann Biomed Eng 2009, 37(9):1701-1709. 10.1007/s10439-009-9740-z, 19533358.
12. Slocum J, Sahakian A, Swiryn S. Diagnosis of atrial fibrillation from surface electrocardiograms based on computer-detected atrial activity. J Electrocardiol 1992, 25:1-8.
13. Tateno K, Glass L. Automatic detection of atrial fibrillation using the coefficient of variation and density histograms of RR andΔRR intervals. Med Biol Eng Comput 2001, 39(6):664-671. 10.1007/BF02345439, 11804173.
14. Schmidt R, Harris M, Novac D, Perkhun M. Atrial fibrillation detection. [WO Patent 2,008,007,236. Jan 18, 2008].
15. Couceiro R, Carvalho P, Henriques J, Antunes M, Harris M, Habetha J. Detection of atrial fibrillation using model-based ECG analysis. 19th International Conference on Pattern Recognition, 2008 2008, 1-5. Tampa: IEEE.
16. Babaeizadeh S, Gregg R, Helfenbein E, Lindauer J, Zhou S. Improvements in atrial fibrillation detection for real-time monitoring. J Electrocardiol 2009, 42(6):522-526. 10.1016/j.jelectrocard.2009.06.006, 19608194.
17. Park J, Lee S, Jeon M. Atrial fibrillation detection by heart rate variability in Poincare plot. Biomed Eng Online 2009, 8(38):1-12. 2628919, 19138401.
18. Yaghouby F, Ayatollahi A, Bahramali R, Yaghouby M, Alavi A. Towards automatic detection of atrial fibrillation: A hybrid computational approach. Comput Biol Med 2010, 40(11):919-930.
19. Larburu N, Lopetegi T, Romero I. Comparative study of algorithms for Atrial Fibrillation detection. Computing in Cardiology 2011 2011, 265-268. Hangzhou: IEEE.
20. Parvaresh S, Ayatollahi A. Automatic atrial fibrillation detection using autoregressive modeling. 2011 International Conference on Biomedical Engineering and Technology 2011, 4-5. Kuala Lumpur: APCBEES.
21. Lian J, Wang L, Muessig D. A simple method to detect atrial fibrillation using RR intervals. Am J Cardiol 2011, 107(10):1494-1497. 10.1016/j.amjcard.2011.01.028, 21420064.
22. Lake D, Moorman J. Accurate estimation of entropy in very short physiological time series: the problem of atrial fibrillation detection in implanted ventricular devices. Am J Physiol Heart Circ Physiol 2011, 300:H319-H325. 10.1152/ajpheart.00561.2010, 21037227.
23. Huang C, Ye S, Chen H, Li D, He F, Tu Y. A novel method for detection of the transition between atrial fibrillation and sinus rhythm. IEEE Trans Biomed Eng 2011, 58(4):1113-1119.
24. Yaghouby F, Ayatollahi A, Bahramali R, Yaghouby M. Robust genetic programming-based detection of atrial fibrillation using RR intervals. Expert Syst 2012, 29(2):183-199.
25. Lee J, Reyes B, McManus D, Mathias O, Chon K. Atrial fibrillation detection using an Iphone 4S. IEEE Trans Biomed Eng 2013, 60:203-206.
26. Shannon C. A mathematical theory of communication. Bell Syst Tech J 1948, 27(3):379-423.
27. The Physionet ECG database. [Online]. Available: http://physionet.org/physiobank/database/.
28. Larburu N. Comparative study of algorithms for atrial fibrillation detection. Master's thesis Public University of Navarra, Pamplona, Spain, 2011, [Online]. Available: http://academica-e.unavarra.es/handle/2454/4136.
29. Cerutti S, Mainardi L, Porta A, Bianchi A. Analysis of the dynamics of RR interval series for the detection of atrial fibrillation episodes. Computers in Cardiology 1997 1997, 77-80. Lund: IEEE Computer Society Press.
30. Voss A, Kurths J, Kleiner H, Witt A, Wessel N, Saparin P, Osterziel K, Schurath R, Dietz R. The application of methods of non-linear dynamics for the improved and predictive recognition of patients threatened by sudden cardiac death. Cardiovasc Res 1996, 31(3):419-433. 10.1016/0008-6363(96)00008-9, 8681329.
31. Pan J, Tompkins W. A real-time QRS detection algorithm. IEEE Trans Biomed Eng 1985, 32(3):230-236.