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Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals

机译：从脑电图信号识别电动机图像任务的特征选择和分类方法的评估

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Roberto Vega; Touqir Sajed; Kory Wallace Mathewson; Kriti Khare; Patrick M. Pilarski; Russ Greiner; Gildardo Sanchez-Ante; Javier M. Antelis;
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1. Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals [J] . Roberto Vega, Touqir Sajed, Kory Wallace Mathewson, Artificial Intelligence Research . 2017,第1期

机译：从脑电图信号识别电动机图像任务的特征选择和分类方法的评估
2. Localized and Optimized Feature Extraction from a Sculpted Electroencephalographic Signal for Better Classification in Motor Imagery Based Brain Computer Interface [J] . Raut Vrushali Ganesh, Ganorkar Sanjay R Journal of computational and theoretical nanoscience . 2018,第11a12期

机译：从雕刻的脑电图信号提取局部和优化的特征提取，以便在基于电机图像的脑电电脑界面中更好地分类
3. Multiple Feature Extraction of Electroencephalograph Signal for Motor Imagery Classification through Bispectral Analysis [J] . Bitopan Das, Mridusmita Talukdar, Rakesh Sarma, Procedia Computer Science . 2016,第1期

机译：通过双谱分析对脑电信号进行运动图像分类的多特征提取
4. Data-point and feature selection of motor imagery EEG signals for neural classification of cognitive tasks in car-driving [C] . Saha Anuradha, Konar Amit, Das Pratyusha, International Joint Conference on Neural Networks . 2015

机译：运动图像脑电信号的数据点和特征选择，用于汽车驾驶中认知任务的神经分类
5. Advanced features and feature selection methods for vibration and audio signal classification. [D] . Tsau, Enshuo. 2012

机译：用于振动和音频信号分类的高级功能和功能选择方法。
6. Classification of motor imagery tasks for BCI with multiresolution analysis and multiobjective feature selection [O] . Julio Ortega, Javier Asensio-Cubero, John Q. Gan, 2016

机译：具有多分辨率分析和多目标特征选择的BCI运动图像任务分类
7. Multiple Feature Extraction of Electroencephalograph Signal for Motor Imagery Classification through Bispectral Analysis [O] . Das Bitopan, Talukdar Mridusmita, Sarma Rakesh, 2016

机译：通过双谱分析对脑电信号进行运动图像分类的多特征提取

Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals

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