Modeling the two-dimensional variations in EEG signals to analyze the impact of music on sleep states

Variations in music intensity and pitch can significantly impact sleep and alleviate insomnia through relaxing music. Traditional EEG analysis methods struggle with capturing temporal features and managing time-series data complexity. To address these challenges, we propose an improved Temporal Netw...

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Bibliographic Details

Published in:	Alexandria Engineering Journal
Main Author:	Wei Wang
Format:	Article
Language:	English
Published:	Elsevier 2024-12-01
Subjects:	Temporal self-attention TimesNet model Sleep state classification Two-dimensional modeling Sleep quality improvement Relaxing music impact
Online Access:	http://www.sciencedirect.com/science/article/pii/S1110016824010779