Hand Movement Recognition Using Dynamical Graph Convolutional Neural Network in EEG Source Space
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-51455-5_35
Reference31 articles.
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3. Ramos-Murguialday, A., Curado, M.R., Broetz, D., et al.: Brain-machine interface in chronic stroke: randomized trial long-term follow-up. Neurorehab Neural Re 33, 188–198 (2019). https://doi.org/10.1177/1545968319827573
4. Cantillo-Negrete, J., Carino-Escobar, R.I., Carrillo-Mora, P., et al.: Brain-computer interface coupled to a robotic hand orthosis for stroke patients’ neurorehabilitation: a crossover feasibility study. Front. Hum. Neurosci, 15, (2021). https://doi.org/10.3389/fnhum.2021.656975
5. Hu, Y., Gao, T., Li, J., et al.: Motor imagery-based brain-computer interface combined with multimodal feedback to promote upper limb motor function after stroke: a preliminary study. Evid-Based Compl ALT 2021, 1 (2021). https://doi.org/10.1155/2021/1116126
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