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

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
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
Series:Brain-Apparatus Communication
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
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https://www.tandfonline.com/doi/10.1080/27706710.2025.2523303

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