A Deep Learning Model for Stroke Patients' Motor Function Prediction

Deep learning models are effectively employed to transfer learning to adopt learning from other areas. This research utilizes several neural structures to interpret the electroencephalogram images (EEG) of brain-injured cases to plan operative imagery-computerized interface models for controlling le...

Descripción completa

Detalles Bibliográficos
Autores principales: AlArfaj, Abeer Abdulaziz, Hosni Mahmoud, Hanan A., Hafez, Alaaeldin M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410966/
https://www.ncbi.nlm.nih.gov/pubmed/36032046
http://dx.doi.org/10.1155/2022/8645165

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410966/
https://www.ncbi.nlm.nih.gov/pubmed/36032046
http://dx.doi.org/10.1155/2022/8645165

Ejemplares similares