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An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System

Bibliographic Details
Authors and Corporations: Jian Kui Feng, Jing Jin, Ian Daly, Jiale Zhou, Yugang Niu, Xingyu Wang, Andrzej Cichocki
Type of Resource: E-Article
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rft.atitle An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System
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rft.date 2019-01-01
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authors Array ( [rft.au] => Jian Kui Feng )
Array ( [rft.au] => Jing Jin )
Array ( [rft.au] => Ian Daly )
Array ( [rft.au] => Jiale Zhou )
Array ( [rft.au] => Yugang Niu )
Array ( [rft.au] => Xingyu Wang )
Array ( [rft.au] => Andrzej Cichocki )
doi 10.1155/2019/8068357
languages eng
url https://doi.org/10.1155/2019/8068357
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spelling Jian Kui Feng Jing Jin Ian Daly Jiale Zhou Yugang Niu Xingyu Wang Andrzej Cichocki 1687-5265 1687-5273 Medizin https://doi.org/10.1155/2019/8068357 An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System Computational Intelligence and Neuroscience
spellingShingle Jian Kui Feng, Jing Jin, Ian Daly, Jiale Zhou, Yugang Niu, Xingyu Wang, Andrzej Cichocki, Computational Intelligence and Neuroscience, An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System, Medizin
title An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System
title_full An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System
title_fullStr An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System
title_full_unstemmed An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System
title_short An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System
title_sort an optimized channel selection method based on multifrequency csp-rank for motor imagery-based bci system
topic Medizin
url https://doi.org/10.1155/2019/8068357