Compact and interpretable convolutional neural network architecture for electroencephalogram based motor imagery decoding

Recently, due to the popularity of deep learning, the applicability of deep Neural Networks (DNN) algorithms such as the convolutional neural networks (CNN) has been explored in decoding electroencephalogram (EEG) for Brain-Computer Interface (BCI) applications. This allows decoding of the EEG signa...

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书目详细资料

主要作者:	Ahmad Izzuddin, Tarmizi
格式:	Thesis
语言:	英语
出版:	2022
主题:	TK Electrical engineering. Electronics Nuclear engineering
在线阅读:	http://eprints.utm.my/101969/1/TarmiziAhmadIzzuddinPSKE2022.pdf.pdf