Improved EEG-Based Emotion Classification via Stockwell Entropy and CSP Integration

Traditional entropy-based learning methods primarily extract the relevant entropy measures directly from EEG signals using sliding time windows. This study applies differential entropy to a time-frequency domain that is decomposed by Stockwell transform, proposing a novel EEG emotion recognition met...

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Bibliographic Details
Main Authors: Yuan Lu, Jingying Chen
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/27/5/457
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