Predicting spontaneous termination of atrial fibrillation with time-frequency information
Our approach to predicting spontaneous termination of atrial fibrillation (AF) is based on parameters derived from the time-frequency distribution of the residual ECG signal, resulting from spatiotemporal cancellation of QRST complexes. Each consecutive, logarithmically scaled spectrum of the time-frequency distribution of the residual ECG is modeled as a frequency shifted and amplitude scaled ver