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A functional source separation algorithm to enhance error-related potentials monitoring in noninvasive brain-computer interface

机译：一种功能源分离算法，以增强非侵入性脑电电脑界面中的误差相关电位监测

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Francesco Ferracuti; Valentina Casadei; Ilaria Marcantoni; Sabrina Iarlori; Laura Burattini; Andrea Monteriù; Camillo Porcaro;
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1. A functional source separation algorithm to enhance error-related potentials monitoring in noninvasive brain-computer interface [J] . Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2020,第期

机译：一种功能源分离算法，以增强非侵入性脑电电脑界面中的误差相关电位监测
2. Learning From EEG Error-Related Potentials in Noninvasive Brain-Computer Interfaces [J] . Chavarriaga R., Millan J. d. R. Neural Systems and Rehabilitation Engineering, IEEE Transactions on . 2010,第4期

机译：从无创脑机接口中与脑电错误相关的电位中学习
3. Enhanced Detection of Visual-Evoked Potentials in Brain-Computer Interface Using Genetic Algorithm and Cyclostationary Analysis [J] . Cota NavinGupta, RamaswamyPalaniappan Computational intelligence and neuroscience . 2007,第aEa期

机译：利用遗传算法和循环平稳分析增强对脑-机界面视觉诱发电位的检测
4. Extracting error-related potentials from motion imagination EEG in noninvasive brain-computer interface [C] . Yue Zhang, Weihai Chen, Jianbin Zhang, 2017 IEEE International Conference on Cybernetics and Intelligent Systems and IEEE Conference on Robotics, Automation and Mechatronics . 2017

机译：在非侵入性脑机接口中从运动想象脑电图中提取与错误相关的电位
5. Adaptive brain-computer interfacing through error-related potential detection. [D] . Zeyl, Timothy. 2016

机译：通过与错误相关的电位检测进行自适应脑机接口。
6. Enhanced Detection of Visual-Evoked Potentials in Brain-Computer Interface Using Genetic Algorithm and Cyclostationary Analysis [O] . Cota Navin Gupta, Ramaswamy Palaniappan 2007

机译：利用遗传算法和循环平稳分析增强对脑-机界面视觉诱发电位的检测
7. Learning From EEG Error-Related Potentials in Noninvasive Brain-Computer Interfaces [O] . Ricardo Chavarriaga, José del R. Millan 2010

机译：从非侵入性脑电电脑接口中的EEG错误相关电位学习

A functional source separation algorithm to enhance error-related potentials monitoring in noninvasive brain-computer interface

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