A Novel Application of Deep Learning (Convolutional Neural Network) for Traumatic Spinal Cord Injury Classification Using Automatically Learned Features of EMG Signal

In this study, a traumatic spinal cord injury (TSCI) classification system is proposed using a convolutional neural network (CNN) technique with automatically learned features from electromyography (EMG) signals for a non-human primate (NHP) model. A comparison between the proposed classification sy...

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Detalles Bibliográficos
Autores principales: Masood, Farah, Sharma, Milan, Mand, Davleen, Nesathurai, Shanker, Simmons, Heather A., Brunner, Kevin, Schalk, Dane R., Sledge, John B., Abdullah, Hussein A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657335/
https://www.ncbi.nlm.nih.gov/pubmed/36366153
http://dx.doi.org/10.3390/s22218455

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657335/
https://www.ncbi.nlm.nih.gov/pubmed/36366153
http://dx.doi.org/10.3390/s22218455

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