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

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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Bibliographic Details
Main Authors: Huma Hamid, Noman Naseer, Hammad Nazeer, Muhammad Jawad Khan, Rayyan Azam Khan, Umar Shahbaz Khan
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Sensors
Subjects:
functional near-infrared spectroscopy
brain-computer interface
convolutional neural network
long short-term memory
neurorehabilitation
Online Access:https://www.mdpi.com/1424-8220/22/5/1932

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https://www.mdpi.com/1424-8220/22/5/1932

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