Convolutional neural networks for classifying healthy individuals practicing or not practicing meditation according to the EEG data
X. Fu,
S. S. Tamozhnikov,
A. E. Saprygin
et al.
Abstract: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 known that participation in meditation practices leads to the development of skills of voluntary self-control over the individual’s mental state due to an increased concentration of attention to themselves. As a conse… Show more
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