A Decoding Method Using Riemannian Local Linear Feature Construction for a Lower-Limb Motor Imagery Brain–Computer Interface System

A Decoding Method Using Riemannian Local Linear Feature Construction for a Lower-Limb Motor Imagery Brain–Computer Interface System

Recently, motor imagery brain–computer interfaces (BCIs) have been developed for use in motor function assistance and rehabilitation engineering. In particular, lower-limb motor imagery BCI systems are receiving increasing attention in the field of motor rehabilitation, because these systems could a...

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Bibliographic Details
Main Authors: Yao Hou, Rongnian Tang, Xiaofeng Xie
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Electronics
Subjects:
brain–computer interface
motor imagery
decoding
Riemannian manifold
feature construction
Online Access:https://www.mdpi.com/2079-9292/12/22/4697

Internet

https://www.mdpi.com/2079-9292/12/22/4697

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