Feature extraction of EEG signal upon BCI systems based on steady-state visual evoked potentials using the ant colony optimization algorithm

DOI10.1155/2018/2143873zbMath1417.92081OpenAlexW2810972778WikidataQ129649429 ScholiaQ129649429MaRDI QIDQ1727015

S. M. Fernandez-Fraga, J. C. Pedraza-Ortega, S. Tovar-Arriaga, M. A. Aceves-Fernandez

Publication date: 20 February 2019

Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/2143873

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55)

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Cites Work

• Unnamed Item
• Handbook of swarm intelligence. Concepts, principles and applications
• Solving a closed-loop location-inventory-routing problem with mixed quality defects returns in e-commerce by hybrid ant colony optimization algorithm
• Swarm intelligence. Introduction and applications
• Whitening of background brain activity via parametric modeling

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