Regarding the high incidence of cardiovascular diseases, it is critical to find predictors. The aim of this study is to appreciate the predictive value of recently-found parameters of cardiorhythmogram analysis applying the new biophysical approach for predicting the recurrence of atrial fibrillation. Material and methods. This is a case-series study, where 350 cardiorhythmograms were assessed. For assessment both methods were applied, the standard heart rate variability analysis and new approach by the parameters HF counter regulation and LF drops. Results. The both newlyfound parameters predict reliably atrial fibrillation recurrence. The significance of the parameter HF counter regulation is p < 0. 0001, in case of the parameter LF drops it is p < 0. 001. Conclusions. In case if prediction is needed, the standard heart rate variability should be completed by the new biophysical approach, applying the parameters HF counter regulation and LF drops. Steady-state cardiorhythmograms with events of unstationarity can be realizably analyzed just by these parameters. Events of unstationarity are informative sources for prediction.