Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection

Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection

Abstract The Guided Imagery technique is reported to be used by therapists all over the world in order to increase the comfort of patients suffering from a variety of disorders from mental to oncology ones and proved to be successful in numerous of ways. Possible support for the therapists can be es...

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Bibliographic Details
Main Authors: Filip Postepski, Grzegorz M. Wojcik, Krzysztof Wrobel, Andrzej Kawiak, Katarzyna Zemla, Grzegorz Sedek
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Guided imagery
Mental workload
EEG
CNN
LSTM
Online Access:https://doi.org/10.1038/s41598-025-92378-x
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