DocumentCode
1572847
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
fYear
2006
Firstpage
4212
Lastpage
4215
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IEMBS.2005.1615393
Filename
1615393
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