Deep learning-based framework for real-time upper limb motion intention classification using combined bio-signals

This research study proposes a unique framework that takes input from a surface electromyogram (sEMG) and functional near-infrared spectroscopy (fNIRS) bio-signals. These signals are trained using convolutional neural networks (CNN). The framework entails a real-time neuro-machine interface to decod...

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Detalles Bibliográficos
Autores principales: Syed, A. Usama, Sattar, Neelum Y., Ganiyu, Ismaila, Sanjay, Chintakindi, Alkhatib, Soliman, Salah, Bashir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413572/
https://www.ncbi.nlm.nih.gov/pubmed/37575360
http://dx.doi.org/10.3389/fnbot.2023.1174613

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413572/
https://www.ncbi.nlm.nih.gov/pubmed/37575360
http://dx.doi.org/10.3389/fnbot.2023.1174613

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