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Abs trsc t An algorithm for differentiating ECGs with atriul fibrillation (A F) that will spontaneously terminate within 60 seconds from signals, where it won't, has been developed using the AF Termiliation Challenge Database from PhysioNet. The algorithm was based on the calculation of the major AF frequency by canceling out the QRS complexes and T waves from the original ECGs and then applying short time Fourier transform techniques to the remaining signals. The mujor AF frequency and the mean RR interval were considered for classification.Validation of the algorithm was done by sending the algorithm's results for test-set-u of the AF Termination Challenge Database to PhysiuNet. We found, that for ECGs with a low AF frequency it was more likely, that AF would terminate spontuneously than for ECGs with higher frequencies. Our algorithm was able to correctly classifv 93.3% (28/30) of the signals of the fest-set-a.

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