Summary
Analysis of the uterine contractility in non-pregnant women provides information about physiological changes during menstrual cycle. Spontaneous uterine activity was recorded directly by a micro-tip catheter (Millar Instruments, Inc. USA). The sensor produced an electrical signal, which varied in direct proportion to the magnitude of measured pressure. The study was approved by the regional ethics committee. We used the techniques of surrogate data analysis to testing for nonlinearity in the uterine contraction signals. Approximate entropy was the test statistic. For this analysis a healthy patient with normal contractions, a patient with dysmenorrhea and a patient with fibromyomas in the follicular phase were selected. The results showed that the spontaneous uterine contractions are considered to contain nonlinear features.
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References
Bulleti C, De Ziegler D, Polli V, Del Ferro E, Palini S, Flamigni C. Characteristics of uterine contractility during menses in women with mild to moderate endometriosis. Fertil Steril 2002; 77: 1156–1161.
Szamatowicz J, Laudański T, Bułkszas B. Fibromyomas and uterine contractions. Acta Obstet Gynecol Scand 1997; 76: 973–976.
Akay M (ed.). Nonlinear biomedical signal processing. Dynamic analysis and modeling. Vol. II. The Institute of Electrical and Electronics Engineers, Inc., New York, 2001, 1–341.
Radharkrishnan N, Wilson JD, Lowery C, Murphy P, Eswaran H. Testing for nonlinearity of the contraction segments in uterine electromyography. Int J Bifurcation and Chaos 2000; 10(12): 2785–2790.
Stefanowska A, Krosejl P. Correlation integral and frequency analysis of cardiovascular functions. Open Sys & Information Dyn 1997; 4: 457–478.
Pincus SM. Approximate entropy as a measure of system complexity. Proc Natl Acad Sci USA 1991; 88: 2297–2301.
Pincus S, Singer BH. Randomness and degree of irregularity. Proc Natl Acad Sci USA 1996; 93: 2083–2088.
Theiler J, Eubank S, Longtin A, Galdrikian B, Farmer JD. Testing for nonlinearity in time series: the method of surrogate data. Physica D 1992; 58: 77–94.
Schreiber T, Schmitz A. Improved surrogate data for nonlinearity tests. Phys Rev Lett 1996; 77(4): 635–638.
Hegger R, Kantz H, Schreiber T. Practical implementation of nonlinear time series methods: The TISEAN package. Chaos 1999; 9: 413–435.
Small M, Judd K. Detecting nonlinearity in experimental data. Int J Bifurcation and Chaos 1998; 8(6): 1231–1244.
Nagarajan R, Eswaran H, Wilson JD, Murphy P, Lowery C, Preissl H. Analysis of uterine contractions: a dynamical approach. J Matern Fetal Neonatal Med 2003; 14: 8–21.
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© 2005 Birkhäuser Verlag Basel
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Oczeretko, E., Kitlas, A., Swiatecka, J., Borowska, M., Laudanski, T. (2005). Nonlinear Dynamics in Uterine Contractions Analysis. In: Losa, G.A., Merlini, D., Nonnenmacher, T.F., Weibel, E.R. (eds) Fractals in Biology and Medicine. Mathematics and Biosciences in Interaction. Birkhäuser Basel. https://doi.org/10.1007/3-7643-7412-8_21
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DOI: https://doi.org/10.1007/3-7643-7412-8_21
Publisher Name: Birkhäuser Basel
Print ISBN: 978-3-7643-7172-2
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