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Multidimensional analysis of sleep electrophysiological signals

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Abstract

A night sleep polygraphic recording was coded by 20 s epochs, taking into account the recognizible features, summarized into 24 variables. In a 24 dimension space, the values of these variables are the coordinates of a point representative of each 20 s epoch. The coordinates of these points are given by a 24 column data table to which a factor analysis is applied in order to provide a bidimensional representation of the electrophysiological phenomena's evolution in time. Such a representation of the possible combinations of variables illustrates the structure of sleep without any biased ideas about this structure. The results obtained make it possible to consider the classical division of sleep into cycles and stages. Sleep seems to evolve continuously in time between a certain number of typical combinations, which supports the concept of cycle, but never following the same evolution between these combinations, which questions the reality of stages and their similarity from one cycle to the other.

The method described seems to reflect more accurately than the classical hypnogram the phenomena of continuous modulation of nervous activity during sleep, and to open interesting possibilities for an analytical automatic treatment of sleep electrophysiological signals.

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Supported by Grant CRAM Paris No. 1871973 and by International Contract between Consiglio Nazionale delle Ricerche and C.N.R.S.

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Burger, D., Catani, P. & West, J. Multidimensional analysis of sleep electrophysiological signals. Biol. Cybernetics 26, 131–139 (1977). https://doi.org/10.1007/BF00365224

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