A Data Augmentation Method for Motor Imagery EEG Signals Based on DCGAN-GP Network

Motor imagery electroencephalography (EEG) signals have garnered attention in brain–computer interface (BCI) research due to their potential in promoting motor rehabilitation and control. However, the limited availability of labeled data poses challenges for training robust classifiers. In this stud...

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Detalhes bibliográficos

Principais autores:	Xiuli Du, Xiaohui Ding, Meiling Xi, Yana Lv, Shaoming Qiu, Qingli Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-04-01
coleção:	Brain Sciences
Assuntos:	motor imagery electroencephalography signals time–frequency maps Generative Adversarial Networks data augmentation
Acesso em linha:	https://www.mdpi.com/2076-3425/14/4/375
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