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Data Augmentation for Motor Imagery Signal Classification Based on a Hybrid Neural Network

As an important paradigm of spontaneous brain-computer interfaces (BCIs), motor imagery (MI) has been widely used in the fields of neurological rehabilitation and robot control. Recently, researchers have proposed various methods for feature extraction and classification based on MI signals. The dec...

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Dettagli Bibliografici
Pubblicato in:Sensors (Basel)
Autori principali: Zhang, Kai, Xu, Guanghua, Han, Zezhen, Ma, Kaiquan, Zheng, Xiaowei, Chen, Longting, Duan, Nan, Zhang, Sicong
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI 2020
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7474427/
https://ncbi.nlm.nih.gov/pubmed/32796607
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20164485
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