Title :
Comparison of the Use of Approximate Entropy and Sample Entropy: Applications to Neural Respiratory Signal
Author :
Chen, Xinnian ; Solomon, Irene C. ; Chon, Ki H.
Author_Institution :
Dept. of Biomed. Eng., State Univ. of New York, Stony Brook, NY
Abstract :
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
Keywords :
entropy; neurophysiology; pneumodynamics; approximate entropy; fast dynamic signals; neural respiratory signal; neurophysiological signals; parameter selection criteria; sample entropy; Application software; Biomedical engineering; Biophysics; Computer simulation; Endocrine system; Entropy; Filters; Heart rate variability; Physiology; Stochastic resonance;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615393
