A Review of Online Classification Performance in Motor Imagery-Based Brain–Computer Interfaces for Stroke Neurorehabilitation

A Review of Online Classification Performance in Motor Imagery-Based Brain–Computer Interfaces for Stroke Neurorehabilitation

Motor imagery (MI)-based brain–computer interfaces (BCI) have shown increased potential for the rehabilitation of stroke patients; nonetheless, their implementation in clinical practice has been restricted due to their low accuracy performance. To date, although a lot of research has been carried ou...

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Bibliographic Details
Main Authors: Athanasios Vavoulis, Patricia Figueiredo, Athanasios Vourvopoulos
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Signals
Subjects:
brain–computer Interfaces
electroencephalogram
motor imagery
machine learning
deep learning
classification
Online Access:https://www.mdpi.com/2624-6120/4/1/4

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