NDLI: Nonlinearity testing in the case of non Gaussian surrogates, applied to improving analysis of synchronicity in uterine contraction

Content Provider	IEEE Xplore Digital Library
Author	Terrien, J. Hassan, M. Germain, G. Marque, C. Karlsson, B.
Copyright Year	2009
Description	Author affiliation: CRC MIRCen, CEA-INSERM, Fontenay-aux-roses, France (Germain, G.) \|\| School of Science and Engineering, Reykjavik University, Reykjavik, 103 Iceland (Terrien, J.; Hassan, M.) \|\| CNRS UMR 6600 Biomécanique et Bioingénierie, Université de Technologie de Compiègne, Compiègne, France (Marque, C.) \|\| Department of physiology, University of Iceland, Reykjavik, Iceland (Karlsson, B.)
Abstract	Surrogates are commonly used to test a particular hypothesis on time series. The parameter commonly used in the literature to test these hypotheses is the z score. The z score assumes that the distribution of the statistics obtained on the surrogates is Gaussian. In this paper, we propose the use of a more general parameter than the z score that will also work in the case of non-Gaussian distribution of the statistics. We also derive a statistical test, based on the fitting of the distribution of the surrogate measure profile, in order to test the initial hypothesis. We validate the proposed approach on both synthetic signals and real uterine EMG signals by using the nonlinear correlation coefficient as initial statistic. We further show that this corrected nonlinear correlation coefficient can discriminate between pregnancy contractions and labor in a monkey, but the uncorrected nonlinear correlation coefficient cannot. This makes the corrected nonlinear correlation coefficient a promising candidate in a future application for preterm labor prediction in humans.
Starting Page	3477
Ending Page	3480
File Size	314914
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5334563
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Testing Statistical distributions Electromyography Time measurement Pregnancy Hydrogen Piecewise linear approximation Statistical analysis Power measurement USA Councils
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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