title: Optimized assessment of atrial fibrillation organization through suitable parameters of sample Entropy.
abstract: Sample Entropy (SampEn) is a nonlinear regularity index that requires the a priori selection of three parameters: the length of the sequences to be compared, m, the patterns similarity tolerance, r, and the number of samples under analysis, N. Appropriate values for m, r and N have been recommended in some cases, such as heart rate, hormonal data, etc., but no guidelines exist for the selection of that values. Hence, an optimal parameters study should be required for the application of SampEn to not previously analyzed biomedical signals. In this work, a thorough analysis on the optimal SampEn parameter values within two different scenarios of AF organization estimation, such as the prediction of paroxysmal AF termination and the electrical cardioversion outcome in persistent AF, is presented. Results indicated that, (i) the proportion between N and the sampling rate (ƒ(s)) should be higher than one second and ƒ(s) ≥ 256 Hz, (ii) overlapping between adjacent N-length windows does not improve organization estimation and (iii) values of m and r maximizing classification should be considered within a range wider than the proposed in the literature for heart rate analysis, i. e. m = 1 and m = 2 and r between 0.1 and 0.25 times the standard deviation of the data.
authors.affiliation: Innovation in Bioengeeniering Research Group, University of Castilla-La Mancha, Campus Universitario, 16071, Cuenca, Spain. raul.alcaraz@uclm.es
authors.forename: Raul
authors.initials: R
authors.lastname: Alcaraz
authors.forename: Daniel
authors.initials: D
authors.lastname: Abasolo
authors.forename: Roberto
authors.initials: R
authors.lastname: Hornero
authors.forename: Jose J
authors.initials: JJ
authors.lastname: Rieta
mesh_terms: D001281:Atrial Fibrillation / Q000503:physiopathology*; D015716:Electrocardiography, Ambulatory / Q000379:methods*; D019277:Entropy; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D017711:Nonlinear Dynamics; D012815:Signal Processing, Computer-Assisted