Improved Brain–Computer Interface Signal Recognition Algorithm Based on Few-Channel Motor Imagery

Improved Brain–Computer Interface Signal Recognition Algorithm Based on Few-Channel Motor Imagery

Common spatial pattern (CSP) is an effective algorithm for extracting electroencephalogram (EEG) features of motor imagery (MI); however, CSP mainly aims at multichannel EEG signals, and its effect in extracting EEG features with fewer channels is poor—even worse than before using CSP. To solve the...

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Bibliographic Details
Main Authors: Fan Wang, Huadong Liu, Lei Zhao, Lei Su, Jianhua Zhou, Anmin Gong, Yunfa Fu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Human Neuroscience
Subjects:
MI-BCI with fewer channels
Dempster–Shafer evidence theory
time-frequency decomposition (TFD)
phase space reconstruction (PSR)
common spatial pattern (CSP)
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2022.880304/full

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https://www.frontiersin.org/articles/10.3389/fnhum.2022.880304/full

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