Modification of Joint Recurrence Quantification Analysis (JRQA) for assessing individual characteristics from short EEG time series.

Autor:	Runnova, Anastasiya, Selskii, Anton, Emelyanova, Elizaveta, Zhuravlev, Maxim, Popova, Margarita, Kiselev, Anton, Shamionov, Rail
Předmět:	TIME series analysis BRAIN-computer interfaces ELECTROENCEPHALOGRAPHY STATISTICS TIME management
Zdroj:	Chaos; Sep2021, Vol. 31 Issue 9, p1-9, 9p
Abstrakt:	This article proposes a modification of joint recurrence quantification analysis for identifying individual characteristics applied to human electroencephalography (EEG) using short time series. Statistical analysis of EEG characteristics facilitated the clarification of the spatial localization of identified individual characteristics. The method can be adapted for use as a stage of a rapid automatic configuration of brain–computer interface devices, which is especially relevant when working with children, due to limited opportunities for their long-term monitoring. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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