Deep Convolutional Neural Network for EEG-Based Motor Decoding

Brain–machine interfaces (BMIs) have been applied as a pattern recognition system for neuromodulation and neurorehabilitation. Decoding brain signals (e.g., EEG) with high accuracy is a prerequisite to building a reliable and practical BMI. This study presents a deep convolutional neural network (CN...

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Detalles Bibliográficos
Autores principales: Zhang, Jing, Liu, Dong, Chen, Weihai, Pei, Zhongcai, Wang, Jianhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504902/
https://www.ncbi.nlm.nih.gov/pubmed/36144108
http://dx.doi.org/10.3390/mi13091485

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504902/
https://www.ncbi.nlm.nih.gov/pubmed/36144108
http://dx.doi.org/10.3390/mi13091485

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