Deep Learning Recurrent Neural Network for Concussion Classification in Adolescents Using Raw Electroencephalography Signals: Toward a Minimal Number of Sensors

Artificial neural networks (ANNs) are showing increasing promise as decision support tools in medicine and particularly in neuroscience and neuroimaging. Recently, there has been increasing work on using neural networks to classify individuals with concussion using electroencephalography (EEG) data....

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Detalles Bibliográficos
Autores principales: Thanjavur, Karun, Hristopulos, Dionissios T., Babul, Arif, Yi, Kwang Moo, Virji-Babul, Naznin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Human Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654150/
https://www.ncbi.nlm.nih.gov/pubmed/34899212
http://dx.doi.org/10.3389/fnhum.2021.734501

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654150/
https://www.ncbi.nlm.nih.gov/pubmed/34899212
http://dx.doi.org/10.3389/fnhum.2021.734501

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