Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation Using Deep Neural Networks

This research presents a brain-computer interface (BCI) framework for brain signal classification using deep learning (DL) and machine learning (ML) approaches on functional near-infrared spectroscopy (fNIRS) signals. fNIRS signals of motor execution for walking and rest tasks are acquired from the...

Descripción completa

Detalles Bibliográficos
Autores principales: Hamid, Huma, Naseer, Noman, Nazeer, Hammad, Khan, Muhammad Jawad, Khan, Rayyan Azam, Shahbaz Khan, Umar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914987/
https://www.ncbi.nlm.nih.gov/pubmed/35271077
http://dx.doi.org/10.3390/s22051932

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914987/
https://www.ncbi.nlm.nih.gov/pubmed/35271077
http://dx.doi.org/10.3390/s22051932

Ejemplares similares