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Items: 1 to 20 of 98

1.

Quantifying the Dynamical Complexity of Chaotic Time Series.

Politi A.

Phys Rev Lett. 2017 Apr 7;118(14):144101. doi: 10.1103/PhysRevLett.118.144101. Epub 2017 Apr 7.

PMID:
28430461
2.

[Dynamic paradigm in psychopathology: "chaos theory", from physics to psychiatry].

Pezard L, Nandrino JL.

Encephale. 2001 May-Jun;27(3):260-8. French.

PMID:
11488256
3.

Estimation of entropies and dimensions by nonlinear symbolic time series analysis.

Finn JM, Goettee JD, Toroczkai Z, Anghel M, Wood BP.

Chaos. 2003 Jun;13(2):444-56.

PMID:
12777107
4.

Vortex dynamics in evolutive flows: a weakly chaotic phenomenon.

Bellazzini J, Menconi G, Ignaccolo M, Buresti G, Grigolini P.

Phys Rev E Stat Nonlin Soft Matter Phys. 2003 Aug;68(2 Pt 2):026126. Epub 2003 Aug 25.

PMID:
14525068
5.

Modified permutation-entropy analysis of heartbeat dynamics.

Bian C, Qin C, Ma QD, Shen Q.

Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Feb;85(2 Pt 1):021906. Epub 2012 Feb 10.

PMID:
22463243
6.

Modified correlation entropy estimation for a noisy chaotic time series.

Jayawardena AW, Xu P, Li WK.

Chaos. 2010 Jun;20(2):023104. doi: 10.1063/1.3382013.

PMID:
20590300
7.

Chaos and fractals in dynamical models of transport and reaction.

Gaspard P, Claus I.

Philos Trans A Math Phys Eng Sci. 2002 Mar 15;360(1792):303-15.

PMID:
16210183
8.

Detecting the chaotic nature in a transitional boundary layer using symbolic information-theory quantifiers.

Zhang W, Liu P, Guo H, Wang J.

Phys Rev E. 2017 Nov;96(5-1):052215. doi: 10.1103/PhysRevE.96.052215. Epub 2017 Nov 20.

PMID:
29347703
9.

Extracting finite-state representations from recurrent neural networks trained on chaotic symbolic sequences.

Tino P, Köteles M.

IEEE Trans Neural Netw. 1999;10(2):284-302. doi: 10.1109/72.750555.

PMID:
18252527
10.

Quantifying chaos for ecological stoichiometry.

Duarte J, Januário C, Martins N, Sardanyés J.

Chaos. 2010 Sep;20(3):033105. doi: 10.1063/1.3464327.

PMID:
20887045
11.

Forbidden patterns in financial time series.

Zanin M.

Chaos. 2008 Mar;18(1):013119. doi: 10.1063/1.2841197.

PMID:
18377070
12.

Approximate entropy (ApEn) as a complexity measure.

Pincus S.

Chaos. 1995 Mar;5(1):110-117.

PMID:
12780163
13.

Permutation-information-theory approach to unveil delay dynamics from time-series analysis.

Zunino L, Soriano MC, Fischer I, Rosso OA, Mirasso CR.

Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Oct;82(4 Pt 2):046212. Epub 2010 Oct 18.

PMID:
21230370
14.

Ordinal symbolic analysis and its application to biomedical recordings.

Amigó JM, Keller K, Unakafova VA.

Philos Trans A Math Phys Eng Sci. 2015 Feb 13;373(2034). pii: 20140091. doi: 10.1098/rsta.2014.0091. Review.

15.

Complexity of cardiovascular rhythms during head-up tilt test by entropy of patterns.

Wejer D, Graff B, Makowiec D, Budrejko S, Struzik ZR.

Physiol Meas. 2017 May;38(5):819-832. doi: 10.1088/1361-6579/aa64a8. Epub 2017 Mar 6.

PMID:
28263183
16.

Complex dynamics of epileptic EEG.

Kannathal N, Puthusserypady SK, Choo Min L.

Conf Proc IEEE Eng Med Biol Soc. 2004;1:604-7.

PMID:
17271749
17.

Characterization of multiscroll attractors using Lyapunov exponents and Lagrangian coherent structures.

Fazanaro FI, Soriano DC, Suyama R, Attux R, Madrid MK, de Oliveira JR.

Chaos. 2013 Jun;23(2):023105. doi: 10.1063/1.4802428.

PMID:
23822470
18.

Permutation entropy: a natural complexity measure for time series.

Bandt C, Pompe B.

Phys Rev Lett. 2002 Apr 29;88(17):174102. Epub 2002 Apr 11.

PMID:
12005759
19.

Classification of heart rate signals of healthy and pathological subjects using threshold based symbolic entropy.

Aziz W, Rafique M, Ahmad I, Arif M, Habib N, Nadeem MS.

Acta Biol Hung. 2014 Sep;65(3):252-64. doi: 10.1556/ABiol.65.2014.3.2.

PMID:
25194729
20.

Ordinal pattern based similarity analysis for EEG recordings.

Ouyang G, Dang C, Richards DA, Li X.

Clin Neurophysiol. 2010 May;121(5):694-703. doi: 10.1016/j.clinph.2009.12.030. Epub 2010 Jan 22.

PMID:
20097130

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