研究基于脑电信号排列组合熵的运动意识任务自动分类方法。
To present a new application of permutation entropy method for automatic brain consciousness task classification.
在固件设计部分完成了基于USB固件框架的脑电信号采集固件设计、USB传输固件设计及usb硬盘固件设计。
And in the firmware design part, the design of EEG data acquisition firmware, USB communication firmware and USB HDD firmware are carried out.
一个是基于EMD的时频分布，另一个是基于EMD的非线性能量算子（NEO）方法，其在癫痫脑电信号的处理中都取得了比较好的效果。
One is a time-frequency distribution based EMD, the other is nonlinear energy operator (NEO) based on EMD, and both of them have good results in epileptic EEG signal processing.
提出了一种基于特定几种心理作业的脑电信号控制假手的方法。
A control method of the prosthetic hand based on the electroencephalogram (EEG) of several designated mental tasks was proposed.
本研究提出了一种基于带参考信号的ICA算法的脑电信号眨眼伪差的分离方法，可以得到纯净的脑电信号。
Based on ICA algorithm with reference signals, a method of removing blinking artifacts was proposed in this paper.
基于脑电的脑—机接口采用了很多种类型的脑电信号。
Several types of EEG signals have been adopted in EEG based BCI.
目的在基于思维作业的脑-机接口中，探讨如何提取脑电信号特征并对其进行准确有效地分类。
Objective To investigate some methods on extraction and classification of electroencephalography (EEG) signals during mental tasks for designing brain computer interfaces (BCI).
因此对基于自发脑电信号的脑-机接口中特征提取和分类方法的研究具有很重要的意义。
Therefore, it is very significant for research on feature extraction and classification based on spontaneous EEG brain-computer interface. Motor imagery EEG is a kind of spontaneous EEG.
本文主要贡献在于：首先，设计了一组基于听觉诱发的语言任务相关的脑电实验，收集了大量不同种类的音乐作为刺激信号，并采集了一定数量的连续脑电信号；
The contribution of this paper are:Firstly, we designed the hearing-evoked language task of EEG experiment. Weget lots of different songs as stimuli signal and collect some continuous EEG;
本文主要贡献在于：首先，设计了一组基于听觉诱发的语言任务相关的脑电实验，收集了大量不同种类的音乐作为刺激信号，并采集了一定数量的连续脑电信号；
The contribution of this paper are:Firstly, we designed the hearing-evoked language task of EEG experiment. Weget lots of different songs as stimuli signal and collect some continuous EEG;
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