NDLI: Does sample entropy reflect nonlinear characteristics of cardiovascular murmurs?

Content Provider	IEEE Xplore Digital Library
Author	Schmidt, S.E. Graebe, M. Toft, E. Struijk, J.J.
Copyright Year	2009
Description	Author affiliation: Medical Informatics Group, Department of Health Science and Technology, Aalborg University, Denmark (Schmidt, S.E.) \|\| Department for Vascular Surgery, Copenhagen University Hospital, Denmark (Graebe, M.) \|\| Center for Sensory-Motor Interaction, Department of Health Science and Technology, Aalborg University, Denmark (Toft, E.)
Abstract	Sample entropy has been applied successfully for quantification of cardiovascular murmurs, but does sample entropy reflect nonlinear and chaotic characteristics of the murmurs? Seven digital audio recordings from subjects with audible carotid murmurs were recorded. Sample entropy was calculated from periods with and without murmurs and compared with sample entropy from surrogates with linear properties. None of the sample entropy measures from the recordings differed significantly from the surrogates with known linear properties. The sample entropy increased significantly in periods with audible murmurs compared to periods without. A similar difference was found between the surrogates of periods with and without murmurs. This confirms that sample entropy is suited for quantification of cardiovascular murmurs, but there is no evidence that nonlinear signal components of the murmursare present or affect the sample entropy.
Starting Page	685
Ending Page	688
File Size	242019
Page Count	4
File Format	PDF
ISBN	9781424472819
ISSN	02766547
e-ISBN	9781424472826
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Computers in Cardiology(CinC)
Subject Keyword	Entropy Cardiology Chaos Audio recording Biomedical signal processing Signal analysis Blood flow Heart valves Stochastic processes Biomedical measurements
Content Type	Text
Resource Type	Article

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