Residual-Enhanced VAE-GAN for EEG Data Augmentation in Motor Imagery Classification

Motor imagery is a widely studied paradigm in Brain-Computer Interfaces (BCIs) systems, where electroencephalography (EEG) signals are used to decode brain activity. However, subject-specific variability leads to significant differences in EEG distributions across individuals, making it challenging...

Celý popis

Podrobná bibliografia

Vydané v:	IEEE International Conference on Consumer Electronics-China (Online) s. 603 - 604
Hlavní autori:	Tang, Haiyuan, Zhao, Wenshan
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 16.07.2025
Predmet:	Accuracy Autoencoders Brain modeling Brain-computer interfaces Data augmentation Data models Domain Generalization Electroencephalography Image reconstruction Motor Imagery Motors Residual Modeling Training data
ISSN:	2575-8284
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!