2005 · 108 citations · 8 references
Sample EntropyEngineeringNeural RecodingSocial SciencesNeural Respiratory SignalBiosignal ProcessingApproximate EntropyRespiratory NeurobiologyRespiration (Physiology)Signal ProcessingNeurophysiologyComputational NeuroscienceEntropyPhysiologyEeg Signal ProcessingNeuroscienceElectrophysiologyParameter Selection CriteriaComputer Simulation
This paper discusses several important factors which can influence the accuracy of the results obtained from application of the well-known Approximate Entropy (ApEn) method and the more recently developed Sample Entropy (SampEn) method to fast neurophysiological signals. Based on the performance of these methods on both computer simulation and experimental data, parameter selection criteria are suggested for application to fast dynamic signals.
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