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Comparison of the use of approximate entropy and sample entropy: Applications to neural respiratory signal

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

104 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages4212-4215
Number of pages4
StatePublished - 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: Sep 1 2005Sep 4 2005

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Conference

Conference2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Country/TerritoryChina
CityShanghai
Period09/1/0509/4/05

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