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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...

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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

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