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Description: 小波神经网络在脑电信号数据压缩与棘波识别中的应用-wavelet neural networks in EEG data compression with spikes Identification of
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Description: 该程序可以读取欧洲格式.edf和.rec的数据，特别适合于读取脑电数据。-the program can read the European format. EDF and. Rec data, and are particularly suited to read EEG data.
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Size: 14336 |
Author: 魏娜 |
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Description: Matlab source for blind classification of EEG data (BCI competition II data set IV)
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Size: 2823168 |
Author: sirali |
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Description: This codes describe how to part the data set into different subsets. It is useful for EEG data. It is runnable.-This codes describe how to part the data set into different subsets. It is useful for EEG data. It is runnable.
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Size: 1024 |
Author: weihuagao |
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Description: toolbox for EEG data analysis. It s very good for the group data analysis
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Size: 27140096 |
Author: 胡理 |
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Description: Denoise EEG data using wavelet methods
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Size: 104448 |
Author: iveq nguyen |
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Description: 利用神经网络训练，对EEG数据进行预测，还有分类-The neural network training, prediction of the EEG data, there are categories
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Size: 20480 |
Author: 熊建林 |
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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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Size: 246784 |
Author: gt |
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Description: eeg data,i have processed the datas,you can easily use load to load and use the data
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Size: 6144 |
Author: akfj |
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Description: 独立成分分析
目前，独立成分分析(ICA)这门新的数据处理技术已得到了国内外学术界的普遍认可和广泛关注，并在不同的研究和应用领域开始发挥重要作用。ICA这一专业术语及其内涵，“鸡尾酒会”问题、脑电信号分离、通信系统的盲分离等ICA的典型应用问题，以及ICA中有关峭度、不动点算法等一系列基本概念，已为国内许多从事数据处理的科研工作者所熟悉。但是，要了解独立成分分析背后所隐含的重要应用背景与数学理论基础；把握ICA的应用范围及相应的各种限制；了解如何应用独立成分分析的思路，从而针对具体的专业应用问题提出更为合理的分析方法，这些更深层次的内容，可能并非通过阅读几篇综述文献或相关专业文献，或学习、分析和使用MATLAB工具包中的那些现成算法就能很好地掌握的。然而，目前国内仍然没有一本比较全面而深入的中文教材来供那些对ICA感兴趣的初学者和不同专业领域的研究人员做参考。这种状况下，翻译出版一本比较权威的ICA教材就显得很有必要。本书的英文版是国际上第一本对ICA这门新技术进行全面介绍的综合性专著，作者Aapo Hyv妑inen，Juha Karhunen和Erikki Oja为ICA方法的建立做出过重要贡献，并且一直活跃在ICA的相关研究领域。本书的内容主要取材于作者自己的研究小组所开展的-Independent component analysis
Currently, independent component analysis (ICA) which door the new data-processing technology has been widely recognized by domestic and foreign academic and attention, and different studies and applications play an important role began. ICA and its connotation of the terminology, "cocktail party" problem, EEG separation, communication systems for blind separation of a typical application of ICA, and ICA in the kurtosis, fixed point algorithms and a series of fundamental concepts, has been Many engage in data processing for the domestic workers are familiar with the research. However, independent component analysis to understand the importance of applications on the underlying mathematical background and theory grasp the application of ICA and the corresponding limitations know how to apply the idea of independent component analysis to specific application of a more professional reasonable methods of analysis, these deeper levels of content, may not be
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Author: houhj |
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Description: document for code of brain compture interface with EEG Signal
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Author: ROUBA |
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Description: eeg数据处理,此代码为美国ucsd脑科学实验室开发的著名实验程序。-eeg data processing
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Size: 29175808 |
Author: yanping |
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Description: code to decode raw eeg data..eeg sample matrices
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Size: 12288 |
Author: radhika |
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Description: 癫痫脑电时频分析 癫痫脑电数据 正常脑电数据-Epileptic EEG Time-Frequency Analysis of normal EEG of the epileptic EEG data
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Size: 557056 |
Author: 陈珠英 |
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Description: EEG脑电数据的采集原理及相关预处理介绍-The principle of the EEG data and related pretreatment
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Author: liubin |
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Description: 可以用FFT频谱对脑电信号进行提取。我们可以利用提取出的各个波段脑电信号，来诊断一些脑部疾病或者对大脑组织的电活动及大脑的功能状态进行分析。
1.将实验测得的脑电数据文件转换为文本文件(已经过50Hz陷波)， 获得在Matlab 平台上可直接使用的脑电信号数据，即0661.txt。
2.在Matlab中导入数据，并提取Fp1通道的脑电信号，通过FFT变换对α，β，θ，δ波段进行提取，并做FFT逆变换变到时域。
3.计算各个波段的功率谱。-FFT spectrum can be extracted on EEG. We can use the extracted EEG each band to diagnose some brain disorders or brain tissue on the brain' s electrical activity and functional status were analyzed. One would experimentally measured EEG data file into a text file (has been 50Hz notch), obtained in Matlab platform can be used directly EEG data, that 0661.txt. (2) import data in Matlab and extract Fp1 channel EEG by FFT transform α, β, θ, δ bands were extracted, and do FFT inverse transform variable to the time domain. 3 calculate the power spectrum of each band.
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Size: 3391488 |
Author: nuaa030840105 |
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Description: 用于观察脑电信号全通道数据和多个单通道数据，并且输出相对颅内压参数。函数通过读取nt后缀脑电图文件，并生成GUI界面，可选择全通道观察所选文件脑电信号，也可以选择包含原始EEG脑电信号，40hzEEG，80hz肌电干扰和提取出的40hzEEG信号的多个单通道观察，并且生成颅内压参数。-Used to observe all channels of EEG data and multiple-channel data, and output parameters relative intracranial pressure. 40hzEEG signal function by reading nt suffix EEG file and generates a GUI interface, you can all channels of EEG observe the selected file, or you can choose to include original EEG EEG, 40hzEEG, 80hz EMG interference and extracted a plurality of single-channel observation, and generates an intracranial pressure parameters.
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Size: 24550400 |
Author: 吴昊 |
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Description: 一些脑电数据和特征提取，提取的是小波包能量(Some EEG data and feature extraction are extracted from wavelet packet energy)
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Size: 795648 |
Author: 烂烂
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Description: edf文件转mat，比较便捷的脑电数据转换(EDF file reads mat, more convenient EEG data conversion.)
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Size: 4096 |
Author: liyuan123 |
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Description: 脑电eeg数据预处理，用于脑电信号的MATLAB处理程序，输入处理数据，进行matlab运算，PCA处理及SVM分类。(PCA Processing and SVM Classification of EEG Data)
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Size: 4096 |
Author: Jerk_zhu |
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