A Tensor-Based Frequency Features Combination Method for Brain–Computer Interfaces

A Tensor-Based Frequency Features Combination Method for Brain–Computer Interfaces

With the development of the brain-computer interface (BCI) community, motor imagery-based BCI system using electroencephalogram (EEG) has attracted increasing attention because of its portability and low cost. Concerning the multi-channel EEG, the frequency component is one of the most critical feat...

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Bibliographic Details
Main Authors: Yu Pei, Zhiguo Luo, Hongyu Zhao, Dengke Xu, Weiguo Li, Ye Yan, Huijiong Yan, Liang Xie, Minpeng Xu, Erwei Yin
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Brain–computer interface
electroencephalogram
motor imagery
common spatial pattern
tensor-to-vector projection
fast fourier transformation
Online Access:https://ieeexplore.ieee.org/document/9600883/

Internet

https://ieeexplore.ieee.org/document/9600883/

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