Early-stage fusion of EEG and fNIRS improves classification of motor imagery

Early-stage fusion of EEG and fNIRS improves classification of motor imagery

IntroductionMany research papers have reported successful implementation of hybrid brain-computer interfaces by complementarily combining EEG and fNIRS, to improve classification performance. However, modality or feature fusion of EEG and fNIRS was usually designed for specific user cases, which wer...

Full description

Bibliographic Details
Main Authors: Yang Li, Xin Zhang, Dong Ming
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Neuroscience
Subjects:
EEG
fNIRS
hybrid-BCI
modality fusion
motor imagery
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.1062889/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2022.1062889/full

Similar Items