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Related Experiment Video

Updated: Aug 16, 2025

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
11:28

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[Multi-task motor imagery electroencephalogram classification based on adaptive time-frequency common spatial pattern

Ying Hu1,2, Yan Liu2,3, Chenchen Cheng4

  • 1School of Biomedical Engineering, University of Science and Technology of China, Hefei 230026, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|December 27, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive time-frequency common spatial pattern (CSP) and convolutional neural network (CNN) method for multi-task motor imagery electroencephalogram (EEG) classification, improving accuracy and robustness in brain-computer interfaces.

Area of Science:

  • Neuroscience
  • Machine Learning
  • Biomedical Engineering
Keywords:
Brain-computer interfaceCommon spatial patternConvolutional neural networkMotor imagery electroencephalogramSpatiotemporal-frequency domain feature fusion

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