EEG feature extraction methods in motor imagery-based brain-computer interfaces: a systematic review and network meta-analysis

Background: Brain-computer interfaces (BCIs) enable direct interaction between human cognition and external devices by interpreting brain activity via electroencephalogram (EEG) signals. However, the performance of motor imagery (MI)-based BCIs is often limited by the efficiency and accuracy of EEG...

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Bibliographic Details

Published in:	Brain-Apparatus Communication
Main Authors:	Jiahao Cheng, Peng Chen, Yufeng Deng, Yi Luo, Fengyan Chen, Jiwang Ma, Fei Wang, Fen Xu, Sheng Guo, X. San Liang, Tao Zhang
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2025-12-01
Subjects:	Network meta-analysis brain-computer interface motor imagery feature extraction methods classification
Online Access:	https://www.tandfonline.com/doi/10.1080/27706710.2025.2523303