Multi-Stream 1D CNN for EEG Motor Imagery Classification of Limbs Activation

Determining the motor intentions of an individual through the analysis of electroencephalograms (EEGs) is a challenging task that concurrently holds considerable potential in aiding subjects with motor dysfunctions. Moreover, thanks to the recent advances in artificial intelligence models and EEG ac...

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Detalles Bibliográficos

Principais autores:	Danilo Avola, Luigi Cinque, Angelo Di Mambro, Romeo Lanzino, Daniele Pannone, Francesco Scarcello
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2024-01-01
Series:	IEEE Access
Assuntos:	Motor imagery EEG analysis multi-stream 1D convolutional neural networks (1D CNNs) brain-computer interfaces (BCIs)
Acceso en liña:	https://ieeexplore.ieee.org/document/10552846/
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