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Description: 美国加州大学神经计算研究所开发的用于EEG处理，基于matlab环境的功能强大的程序。-A powerful matlab programme was developped by Institute of Neural computing in universtiy of california which used for eeg processing.
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Author: wyh |
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Description: 美国加州大学神经计算研究所开发的用于EEG处理，基于matlab环境的功能强大的程序。-A powerful matlab programme was developped by Institute of Neural computing in universtiy of california which used for eeg processing.
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Size: 19456 |
Author: wyh |
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Description: This program is to one-step EEG prediction. it is done by a fuzzy neural network based on a chaotic back propagation training method.
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Size: 6144 |
Author: Mehran Ahmadlou |
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Description: This program is prepared as an one-step EEG predictor. this is used a fuzzy neural network which is trained by a chaotic back propagation method
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Size: 197632 |
Author: Mehran Ahmadlou |
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Description: 本文详细阐述了小波神经网络在脑电信号数据压缩与棘波识别中的应用-This paper describes the neural network in EEG data compression and spikes Recognition
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Author: gt |
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Description: ：基于脑电信号的身份识别是通过采集试验者的脑部信号来进行身份认证。对于同一个外部刺激或者主体在思考同一个
事件的时候，不同人的大脑所产生的认知脑电信号不同。选取与运动意识想象有关的电极后，分析不同个体在特定状况下脑
电的个体差异，采用以回归系数、能量谱密度、相同步、线性复杂度多种信号处理结合方法对运动想象脑电信号进行处理来
进行特征提取。组合多元特征向量并运用多层BP 神经网络对不同个体的脑电信号进行分类，并在不同的意识想象及不同数
据长度、不同的波段对试验者进行识别率验证分析。结果表明，不同运动想象的平均识别率均在80 以上，其中以想象舌头
运动的识别率较高，达到90.6 ，不同波段的识别率也表明意识想象的模式及相应波段对身份认别有较大的影响。-EEG-based identification to authenticate through the acquisition of experimental brain signals. For the same external stimuli, or the main thinking of the same
Event, different people s brains produced by cognitive EEG. Select imagine the electrodes and movement awareness, analysis of different individuals in a particular situation brain
Individual differences in electricity, the use of regression coefficients, the energy spectral density, phase synchronization, the linear complexity of a variety of signal processing combined with motor imagery EEG
For feature extraction. The combination of multiple feature vectors and the use of multi-layer BP neural network to classify the EEG signals of different individuals, and in a different sense of imagination and a different number of
Length, the band on the test to verify the analysis of the recognition rate. The results show that the average recognition rates of different motor imagery in more than 80 , which to imagine the tongue
The m
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Author: 王闯杰 |
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Description: 美国加州大学神经计算研究所开发的用于EEG处理，基于matlab环境的功能强大的程序。-A powerful matlab programme was developped by Institute of Neural computing in universtiy of california which used for eeg processing.
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Size: 19456 |
Author: 王家涛 |
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Description: 脑电波技术原理简介TGAM芯片原理,神经产生脑电波
人的大脑是由数以万计的针尖大小的神经交错构成的。神经相互作用时，脑电波模式就表现为思维状态，像是计算数学时的专注等情绪状态。人的大脑平均每天产生7万个想法。而且，每次神经活动时都会产生轻微的放电，放出的电通过脑电波技术（医学上称为脑电图）就可以测量得到。单个神经产生的放电是很难从头皮外测量到的。但是许多神经共同放电产生的集体电波是可以测量得到的。因此，我们测量到的大脑状态是由许多神经共同放电产生的集体神经活动决定的。(The principle of TGAM chip is introduced in this paper.
The human brain is made up of tens of thousands of needle-size neurons. When the nerve interacts with each other, the brainwave pattern is reflected in the state of mind, such as the concentration and other emotional states of mathematics. The average human brain produces 70,000 ideas a day. And every time a neural activity occurs, a slight discharge is produced, which can be measured by electroencephalography, known as electroencephalography (eeg). It is difficult to measure the discharge of a single nerve from the outside of the scalp. But the collective radio waves produced by many of the nerves are measurable. Therefore, the state of the brain we measure is determined by the collective neural activity of many neurons firing together.)
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Author: t-s-k |
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