https://doi.org/10.1140/epjs/s11734-025-02106-9
Regular Article
Recurrence plots for the analysis of generalized synchronization by real physiological signals
1
Saratov State University, 83, Astrakhanskaya, 410012, Saratov, Russia
2
JSC Konstruktorskoe Buro Aviacionnoj Promyshlennosti, 410005, Saratov, Russia
Received:
8
November
2025
Accepted:
8
December
2025
Published online:
17
December
2025
The possibility of the use of recurrence plots to detect the generalized synchronization by real experimental time series has been investigated. Two different categories of physiological data, i.e., signals of one type represented by the electroencephalogram (EEG) recordings obtained from different areas of the human brain, and principally different signals, i.e., the respiration, blood pressure, EEG, and electrocardiogram (ECG) recordings, have been used. It has been shown that signals of the same type exhibit a higher degree of synchronization in comparison with the signals of different types.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2025
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
