Study of MI-BCI classification method based on the Riemannian transform of personalized EEG spatiotemporal features

Study of MI-BCI classification method based on the Riemannian transform of personalized EEG spatiotemporal features

Motor imagery (MI) is a traditional paradigm of brain-computer interface (BCI) and can assist users in creating direct connections between their brains and external equipment. The common spatial patterns algorithm is the most popular spatial filtering technique for collecting EEG signal features in...

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Bibliographic Details
Main Authors: Xiaotong Ding, Lei Yang, Congsheng Li
Format: Article
Language:English
Published: AIMS Press 2023-05-01
Series:Mathematical Biosciences and Engineering
Subjects:
riemannian tangent space
motor imagery (mi)
electroencephalogram (eeg)
brain-computer interface (bci)
filter banks
neighborhood component analysis
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023554?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023554?viewType=HTML

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