These papers were presented at Computers in Cardiology 2004. Please cite this publication when referencing any of these papers. Links below are to copies of these papers on the CinC web site.
Analysis of the Surface Electrocardiogram to Predict Termination of Atrial Fibrillation: The 2004 Computers in Cardiology/PhysioNet Challenge
S Petrutiu, AV Sahakian, J Ng, S SwirynPrediction of Spontaneous Termination of Atrial Fibrillation Using Time-Frequency Analysis of the Atrial Fibrillatory Wave
C Mora, J Castells, R Ruiz, JJ Rieta, J Millet, C Sánchez, S MorellPrediction of Spontaneous Termination of Atrial Fibrillation in Surface ECG by Frequency Analysis
Q Xi, S ShkurovichAutomated Prediction of Spontaneous Termination of Atrial Fibrillation from Electrocardiograms
D Hayn, K Edegger, D Scherr, P Lercher, B Rotman, W Klein, G SchreierPredicting the End of an Atrial Fibrillation Episode: The PhysioNet Challenge
F Cantini, F Conforti, M Varanini, F Chiarugi, G VrouchosDetection of Spontaneous Termination of Atrial Fibrillation
B Logan, J HealeyPredicting Spontaneous Termination of Atrial Fibrillation with Time-Frequency Information
F Nilsson, M Stridh, A Bollmann, L SörnmoElectrocardiogram Signal Classification Based on Fractal Features
AN Esgiar, PK ChakravortyOn Predicting the Spontaneous Termination of Atrial Fibrillation Episodes Using Linear and Non-Linear Parameters of ECG Signal and RR Series
LT Mainardi, M Matteucci, R SassiComputers in Cardiology/Physionet Challenge 2004: AF Classification Based on Clinical Features
M Lemay, Z Ihara, JM Vesin, L KappenbergerA Statistical Feature Based Approach to Predicting Termination of Atrial Fibrillation
FM Roberts, RJ Povinelli