NDLI: Interpretation of the approximate entropy using fixed tolerance values as a measure of amplitude variations in biomedical signals

Content Provider	IEEE Xplore Digital Library
Author	Sarlabous, L. Torres, A. Fiz, J.A. Gea, J. Martínez-Llorens, J.M. Morera, J. Jané, R.
Copyright Year	2010
Description	Author affiliation: Department of Respiratory Medicine at the IMIM- Hospital del Mar, UPF, CIBERES, Barcelona, Spain (Gea, J.; Martínez-Llorens, J.M.) \|\| Dept. ESAII, Universitat Politècnica de Catalunya, Institut de Bioenginyeria de Catalunya (IBEC), Barcelona, Spain (Sarlabous, L.; Torres, A.; Jané, R.) \|\| Department of Pneumologie of the Navarra Hospital, Pamplona, Spain (Fiz, J.A.) \|\| Department of Pneumology of the Germans Trias i Pujol Hospital, Badalona, Spain (Morera, J.)
Abstract	A new method for the quantification of amplitude variations in biomedical signals through moving approximate entropy is presented. Unlike the usual method to calculate the approximate entropy (ApEn), in which the tolerance value (r) varies based on the standard deviation of each moving window, in this work ApEn has been computed using a fixed value of r. We called this method, moving approximate entropy with fixed tolerance values: ApEnf. The obtained results indicate that ApEnf allows determining amplitude variations in biomedical data series. These amplitude variations are better determined when intermediate values of tolerance are used. The study performed in diaphragmatic mechanomyographic signals shows that the ApEnf curve is more correlated with the respiratory effort than the standard RMS amplitude parameter. Furthermore, it has been observed that the ApEnf parameter is less affected by the existence of impulsive, sinusoidal, constant and Gaussian noises in comparison with the RMS amplitude parameter.
Starting Page	5967
Ending Page	5970
File Size	455359
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5627570
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Correlation Noise Complexity theory Indexes Band pass filters IP networks
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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