J
Joseph P. Zbilut
Researcher at Rush University Medical Center
Publications - 125
Citations - 7021
Joseph P. Zbilut is an academic researcher from Rush University Medical Center. The author has contributed to research in topics: Recurrence quantification analysis & Nonlinear system. The author has an hindex of 37, co-authored 125 publications receiving 6571 citations. Previous affiliations of Joseph P. Zbilut include Rush University & Sapienza University of Rome.
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Dynamical assessment of physiological systems and states using recurrence plot strategies
TL;DR: This paper illustrates how recurrence plots can take single physiological measurements, project them into multidimensional space by embedding procedures, and identify time correlations (recurrences) that are not apparent in the one-dimensional time series.
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Embeddings and delays as derived from quantification of recurrence plots
TL;DR: Recurrence plots have been advocated as a useful diagnostic tool for the assessment of dynamical time series by quantifying certain features of these plots which may be helpful in determining embeddings and delays.
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Recurrence quantification analysis of the logistic equation with transients
TL;DR: Recurrence quantification analysis (RQA) as discussed by the authors detects state changes in drifting dynamical systems without necessitating any a priori constraining mathematical assumptions and has been shown to be ideal for analyzing complex biological systems whose equations are unknown and whose dynamics are characteristically non-linear and non-stationary.
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Detecting deterministic signals in exceptionally noisy environments using cross-recurrence quantification
TL;DR: The proposed technique, cross-recurrence quantification, demonstrates the ability to extract signals up to a very low signal-to-noise-ratio and to allow an immediate appreciation of their degree of periodicity.
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Recurrence quantification analysis as a tool for nonlinear exploration of nonstationary cardiac signals
TL;DR: It is concluded that recurrence quantification analysis is a powerful discriminatory tool which, when properly applied to cardiac signals, can provide objectivity regarding the degree of determinism characterizing the system, state changes, as well as degrees of complexity and/or randomness.