A Study of Various Feature Extraction Methods on a Motor Imagery Based Brain Computer Interface System

机译：基于运动图像的脑计算机接口系统的各种特征提取方法研究

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摘要

Introduction:Brain Computer Interface (BCI) systems based on Movement Imagination (MI) are widely used in recent decades. Separate feature extraction methods are employed in the MI data sets and classified in Virtual Reality (VR) environments for real-time applications.

机译：简介：近几十年来，基于运动想象力（MI）的脑计算机接口（BCI）系统得到了广泛的应用。 MI数据集中采用了单独的特征提取方法，并在虚拟现实（VR）环境中对这些特征进行了分类，以用于实时应用。

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期刊名称 Basic and Clinical Neuroscience
作者
Seyed Navid Resalat; Valiallah Saba;
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作者单位

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年(卷),期 2016(7),1
年度 2016
页码 13–19
总页数 8
原文格式 PDF
正文语种
中图分类神经科学;
关键词
Electroencephalography Brain-Computer Interface (BCI) Automatic data processing;

机译：脑电图;脑机接口（BCI）;自动数据处理;

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专利

1. Testing the Self-Similarity Exponent to Feature Extraction in Motor Imagery Based Brain Computer Interface Systems [J] . Rodriguez-Bermudez German, Angel Sanchez-Granero Miguel, Garcia-Laencina Pedro J., International journal of bifurcation and chaos in applied sciences and engineering . 2015,第14期

机译：在基于运动图像的脑计算机接口系统中测试特征相似度的自相似指数
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. EEG Feature Extraction and Pattern Classification Based on Motor Imagery in Brain-Computer Interface [J] . Ling Zou, Xinguang Wang, Guodong Shi, International journal of software science and computational intelligence . 2011,第3期

机译：脑机界面中基于运动图像的脑电特征提取与模式分类
4. A bispectrum approach to feature extraction for a motor imagery based brain-computer interfacing system [C] . Shahid Shahjahan, Sinha Rakesh Kumar, Prasad Girijesh European Signal Processing Conference . 2010

机译：基于电机图像的脑电电脑接口系统特征提取的双谱方法
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. A Genetic-Based Feature Selection Approach in the Identification of Left/Right Hand Motor Imagery for a Brain-Computer Interface [O] . Charles Yaacoub, Georges Mhanna, Sandy Rihana 2017

机译：基于遗传的特征选择方法在脑机界面左右手运动图像识别中的应用
7. Evaluation of fractal dimension estimation methods for feature extraction in motor imagery based brain computer interface [O] . Güçlü Umut, Güçlütürk Yağmur, Loo Chu Kiong 2011

机译：基于脑计算机接口的运动图像特征提取的分形维数估计方法的评价

A Study of Various Feature Extraction Methods on a Motor Imagery Based Brain Computer Interface System

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