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Fitting the MS (blue), MFHN (orange), FK (green) and BOCF (red) models to four sets of canine endocardial data paced at 500 ms, 400 ms, 320 ms and 260 ms, using 4096 particles, 32 iterations and four pre-recording stimuli, and the normalization constant was set to 1.35 for the BOCF model. The FK and BOCF models achieve slightly better fits than the MS model, which tends to produce APs that are less triangular than the APs in this dataset.
