Characterization of Sample Entropy in the Context of Biomedical Signal Analysis

Author

Aboy, M. ; Cuesta-Frau, D. ; Austin, D. ; Mico-Tormos, P.

Author_Institution

Oregon Inst. of Technol., Portland

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

5942

Lastpage

5945

Abstract

Sample entropy (SampEn) has been proposed as a method to overcome limitations associated with approximate entropy (ApEn). The initial paper describing the SampEn metric included a characterization study comparing both ApEn and SampEn against theoretical results and concluded that SampEn is both more consistent and agrees more closely with theory for known random processes than ApEn. SampEn has been used in several studies to analyze the regularity of clinical and experimental time series. However, questions regarding how to interpret SampEn in certain clinical situations and its relationship to classical signal parameters remain unanswered. In this paper we report the results of a characterization study intended to provide additional insights regarding the interpretability of SampEn in the context of biomedical signal analysis.

Keywords

biothermics; electrocardiography; entropy; medical signal processing; ECG parameters; approximate entropy; biomedical signal analysis; random processes; sample entropy; Biomedical measurements; Bismuth; Brain injuries; Entropy; Heart rate variability; Hypertension; Random processes; Signal analysis; Temperature; Time series analysis; Algorithms; Artificial Intelligence; Computer Simulation; Data Interpretation, Statistical; Entropy; Models, Biological; Models, Statistical; Pattern Recognition, Automated; Signal Processing, Computer-Assisted;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4353701

Filename

4353701