A statistical feature based approach to predicting termination of atrial fibrillation

Computers in Cardiology

Volumn 31, Issue , 2004, Pages 673-676

  Roberts, F M ^a,b   Povinelli, R J ^a,b  

^a MARQUETTE UNIVERSITY   (United States)

^b Marquette University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BANDPASS FILTERS; CARDIOLOGY; CLASSIFICATION (OF INFORMATION); COMPUTER SCIENCE; INFORMATION TECHNOLOGY; MATHEMATICAL MODELS; MEDICAL COMPUTING; NATURAL FREQUENCIES; NONLINEAR PROGRAMMING; SIGNAL FILTERING AND PREDICTION; STATISTICAL METHODS;

ATRIAL FIBRILLATION; GAUSSIAN MIXTURE MODELS; NONLINEAR SIGNAL CLASSIFICATION; VENTRICULAR COMPONENTS;

CARDIOVASCULAR SYSTEM;

EID: 28144436755     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/cic.2004.1443028     Document Type: Conference Paper

References (8)

1. Heart and Stroke Facts 2003. Dallas, TX: American Heart Association; 2003.
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3. Takens F. Detecting strange attractors in Turbulence. Presented at Dynamical Systems and Turbulence, Warwick, 1980.
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5. Roberts FM, Povinelli RJ, Ropella KM. Identification of ECG Arrhythmias using Phase Space Reconstruction. In: DeRaedt L, Siebes A, editors. Principle and Practice of Knowledge Discovery in Databases (PKDD'01); 2001; Freiburg, Germany: Springer Verlag; 2001. p. 411-423.
6. Povinelli RJ, Roberts FM, Ropella KM, Johnson MT. Are Nonlinear Ventricular Arrhythmia Characteristics Lost: As Signal Duration Decreases?. In: Computers in Cardiology; 2002; Memphis, Tennessee: IEEE; 2002. p. 221-224.
7. Roberts FM, Povinelli RJ, Ropella KM. Rhythm Classification Using Reconstructed Phase Space of Signal Frequency Subbands. In: Computers in Cardiology; 2003; Thessaloniki, Greece: IEEE; 2003. p. 61-64.
8. Kantz H, Schreiber T. Nonlinear Time Series Analysis. Cambridge: Cambridge University Press, 1997.