Convolutional neural networks for classifying healthy individuals practicing or not practicing meditation according to the EEG data

The development of objective methods for assessing stress levels is an important task of applied neuroscience. Analysis of EEG recorded as part of a behavioral self-control program can serve as the basis for the development of test methods that allow classifying people by stress level. It is well kn...

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Główni autorzy:	X. Fu, S. S. Tamozhnikov, A. E. Saprygin, N. A. Istomina, A. N. Klemeshova, A.  N. Savostyanov
Format:	Artigo
Język:	Inglês
Wydane:	Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders 2023-12-01
Seria:	Вавиловский журнал генетики и селекции
Hasła przedmiotowe:	convolutional neural networks eeg event-related brain potentials meditation stop-signal paradigm
Dostęp online:	https://vavilov.elpub.ru/jour/article/view/3985
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