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Motor imagery classification in Brain computer interface (BCI) based on EEG signal by using machine learning technique

机译：使用机器学习技术基于EEG信号的大脑电脑接口（BCI）的电机图像分类

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N. E. Md Isa; A. Amir; M. Z. Ilyas; M. S. Razalli;
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年度 2019
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1. Sources of Electrophysiological and Foci of Hemodynamic Brain Activity Most Relevant for Controlling a Hybrid Brain- Computer Interface Based on Classification of EEG Patterns and Near-Infrared Spectrography Signals during Motor Imagery [J] . P.D.Bobrov, M.R.Isaev, A.V.Korshakov, Human physiology . 2016,第3期

机译：基于运动图像期间脑电图模式分类和近红外光谱信号分类与控制混合脑机接口最相关的血流动力学脑活动的电生理和病源
2. Classification of EEG Signals Based on Filter Bank and Sparse Representation in Motor Imagery Brain-Computer Interfaces [J] . Jin Wang, Qingguo Wei Journal of circuits, systems and computers . 2020,第3期

机译：基于滤波器的eEG信号分类，电机图像脑 - 计算机接口中的稀疏表示
3. Convolutional neural network based features for motor imagery EEG signals classification in brain–computer interface system [J] . Samaneh Taheri, Mehdi Ezoji, Sayed Mahmoud Sakhaei SN Applied Sciences . 2020,第4期

机译：基于卷积神经网络的脑机接口系统中运动图像脑电信号分类的特征
4. An empirical mode decomposition based filtering method for classification of motor-imagery EEG signals for enhancing brain-computer interface [C] . Gaur Pramod, Pachori Ram Bilas, Hui Wang, International Joint Conference on Neural Networks . 2015

机译：一种基于经验模式分解的运动脑电信号分类滤波方法以增强人机界面
5. A statistical approach to binary and multiple-class pattern recognition of motor imagery by non-invasive EEG for brain computer interface (BCI) applications. [D] . Sarkar, Angikar. 2012

机译：一种用于脑计算机接口（BCI）应用的非侵入性EEG对运动图像进行二进制和多类模式识别的统计方法。
6. Performance evaluation of a motor-imagery-based EEG-Brain computer interface using a combined cue with heterogeneous training data in BCI-Naive subjects [O] . Donghag Choi, Yeonsoo Ryu, Youngbum Lee, 2011

机译：在BCI天真受试者中使用混合提示和异类训练数据对基于运动图像的EEG-脑计算机接口的性能评估
7. Performance evaluation of a motor-imagery-based EEG-Brain computer interface using a combined cue with heterogeneous training data in BCI-Naive subjects [O] . Donghag Choi, Yeonsoo Ryu, Youngbum Lee, 2011

机译：在BCI天真受试者中使用混合提示和异类训练数据对基于运动图像的EEG-脑计算机接口的性能评估

Motor imagery classification in Brain computer interface (BCI) based on EEG signal by using machine learning technique

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