CNN-based framework using spatial dropping for enhanced interpretation of neural activity in motor imagery classification

Interpretation of brain activity responses using motor imagery (MI) paradigms is vital for medical diagnosis and monitoring. Assessed by machine learning techniques, identification of imagined actions is hindered by substantial intra- and inter-subject variability. Here, we develop an architecture o...

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Detalles Bibliográficos
Autores principales: Collazos-Huertas, D. F., Álvarez-Meza, A. M., Acosta-Medina, C. D., Castaño-Duque, G. A., Castellanos-Dominguez, G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7471227/
https://www.ncbi.nlm.nih.gov/pubmed/32880784
http://dx.doi.org/10.1186/s40708-020-00110-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7471227/
https://www.ncbi.nlm.nih.gov/pubmed/32880784
http://dx.doi.org/10.1186/s40708-020-00110-4

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