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Michael Eiselt

Researcher at University of Jena

Publications -  82
Citations -  2037

Michael Eiselt is an academic researcher from University of Jena. The author has contributed to research in topics: Bispectral analysis & Heart rate. The author has an hindex of 22, co-authored 82 publications receiving 1955 citations. Previous affiliations of Michael Eiselt include French Institute of Health and Medical Research & Schiller International University.

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Influence of tissue resistivities on neuromagnetic fields and electric potentials studied with a finite element model of the head

TL;DR: The aim of this paper is to examine the influence of tissue resistivity changes on the neuromagnetic field and the electric scalp potential, using a high-resolution finite element method of the human head with 13 different tissue types.
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Sleep state organization in premature infants of less than 35 weeks' gestational age.

TL;DR: It is demonstrated that 1) sleep state differentiation is present as soon as 27 w GA; and 2) artificial ventilation, performed in a highly specialized neonatal intensive care unit, did not modify sleep organization of neurologically normal premature infants.
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Using mutual information to measure coupling in the cardiorespiratory system

TL;DR: In this article, the concept of mutual information (MI) was used to quantify the coupling between two systems, X and Y, and applied it to the cardiorespiratory system of a newborn, finding significant changes in the strength of coupling with some characteristic time scales.
Journal Article

Using mutual information to measure coupling in the cardiorespiratory system : new insights into nonlinear coordinations

TL;DR: It is argued that there might be simultaneously rather large correlations, and weak dependencies, quantified by the MI, because correlation is rather different from M1; correlation describes only linear dependencies, where MI takes into account both linear and nonlinear dependencies.
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Heart rate and heart rate variability during sleep in small-for-gestational age newborns.

TL;DR: Evidence of clear modifications of both sympathetic and parasympathetic HR control in the at-risk SGA population and between-group HR and HR variability differences may be related to augmented metabolic rate in SGA compared with AGA newborns is given.