| 基于时频域分析的运动想象脑电信号分类 |
| |
| 作者单位： | 江西蓝天学院信息技术研究所 江西南昌330098 |
| |
| 摘 要： | 人类运动想象会引起脑电信号的变化。基于脑电信号的时频域分析,结合C3、C4电极脑电信号间的相互关系,依据Fisher距离进行特征抽取,运用线性分类器进行分类。从运用到3名受试者的脑电数据中,分类效果因受试者而异,从65.0%到93.1%。
|
| 关 键 词： | 脑机接口 时频分析 Fisher距离 脑电 |
Classification of Motor Imagery EEG Signals Based on Time-frequency Analysis |
| |
| Authors: | YIN Jing-hai MU Zhen-dong |
| |
| Abstract: | Human motor imagery tasks evoke electroencephalogram(EEG)signal changes.We describe a new technique for the classification of motor imagery electroencephalogram(EEG)recordings.The technique is based on a time-frequency analysis of EEG signals,regarding the relations between the EEG data obtained from the C3/C4 electrodes;the features were reduced according the Fisher distance.This reduced feature set is finally fed to a linear discriminant for classification.The algorithm was applied to 3 subjects,the classification performance of the proposed algorithm varied between 65.0% and 92.6% across subjects. |
| |
| Keywords: | Brain computer interface(BCI) time-frequency analysis Fisher distance EEG(electroencephalogram) |
| 本文献已被 CNKI 等数据库收录！ |
|
