Transfer kernel common spatial patterns for motor imagery brain-computer interface classification

DOI10.1155/2018/9871603zbMath1411.92157DBLPjournals/cmmm/DaiZLZ18OpenAlexW2789950121WikidataQ55038104 ScholiaQ55038104MaRDI QIDQ1737351

Shucong Liu, Mengxi Dai, Dezhi Zheng, Pengju Zhang

Publication date: 27 March 2019

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/9871603

zbMATH Keywords

classificationbrain-computer interfacecommon spatial patternmotor-imagery-based BCIs

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Biomedical imaging and signal processing (92C55)

Cites Work

• Classification of motor imagery EEG signals with support vector machines and particle swarm optimization
• Graph-Based Semi-Supervised Learning and Spectral Kernel Design
• Improved Bounds for the Nyström Method With Application to Kernel Classification

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