Tailoring brain–machine interface rehabilitation training based on neural reorganization: towards personalized treatment for stroke patients

Electroencephalogram (EEG)-based brain–machine interface (BMI) has the potential to enhance rehabilitation training efficiency, but it still remains elusive regarding how to design BMI training for heterogeneous stroke patients with varied neural reorganization. Here, we hypothesize that tailoring B...

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Detalles Bibliográficos
Autores principales: Jia, Tianyu, Li, Chong, Mo, Linhong, Qian, Chao, Li, Wei, Xu, Quan, Pan, Yu, Liu, Aixian, Ji, Linhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016036/
https://www.ncbi.nlm.nih.gov/pubmed/35788284
http://dx.doi.org/10.1093/cercor/bhac259

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016036/
https://www.ncbi.nlm.nih.gov/pubmed/35788284
http://dx.doi.org/10.1093/cercor/bhac259

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