SincNet-Based Hybrid Neural Network for Motor Imagery EEG Decoding

It is difficult to identify optimal cut-off frequencies for filters used with the common spatial pattern (CSP) method in motor imagery (MI)-based brain-computer interfaces (BCIs). Most current studies choose filter cut-frequencies based on experience or intuition, resulting in sub-optimal use of MI-...

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主要な著者:	Chang Liu, Jing Jin, Ian Daly, Shurui Li, Hao Sun, Yitao Huang, Xingyu Wang, Andrzej Cichocki
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2022-01-01
シリーズ:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
主題:	Brain-computer interface motor imagery SincNet neural network gated recurrent unit
オンライン･アクセス:	https://ieeexplore.ieee.org/document/9726162/
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