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hilbert_huang_pdf
- 里面有许多hilbert-huang变换在脑电中的应用资料，含整个EMD，HHT，边际谱等算法，有一些实例，资料较为丰富，希大家有用的来下！-There were many hilbert-huang transform in the application of EEG data, including the EMD, HHT, the marginal spectra algorithm, there are some instances, information is abundant,
EMD
- MED这一个数据处理的方法，这个比较好用的，尤其是在脑电处理比小波更好一点-MED This is a data processing method, this relatively easy to use, especially in the EEG handling a little better than the wavelet
2046
- 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
3
- eeg data,i have processed the datas,you can easily use load to load and use the data
juleifenxidenaodianfenxi
- 基于聚类分析的脑电信号数据处理，详细讲了脑电的基础知识然后讲了具体的脑电采集，然后是分类-EEG data processing based on cluster analysis, saying more about the basics of the EEG and then talk about specific EEG acquisition and classification
ApEn_v1
- this is very good and important for work with eeg data.
data
- demo code source for eeg recognition
data-for-EEG-Epileptic
- data for EEG Epileptic
Optimizing-Spatial-Filters-for-Robust-EEG-Single-
- ue to the volume conduction multichannel electroencephalogram (EEG) recordings give a rather blurred image of brain activity. Therefore spatial filters are extremely useful in single-trial analysis in order to improve the signal-to-noise ratio.
ecgbeat
- Achieving PSD signal is sample EEG data using Welch method . In this exercise we will examine the effect of various parameters on the PSD . 4 EEG signals for this exercise has been placed at our disposal .
09e4150ab58c8a98a6000000
- EEG DATA CLASSIFICATION SURVEY AND ITS DETAILS ARE EXPAINED IN RESEARCH PAPER
baztarricadiplomaproject
- CLASSIFICATION OF DATA RELATED EEG BASED SIGNAL ANALYSIS AND FEATURE EXTRACTION TECCHNIQUE
19508
- CLASSIFICATION OF DATA RELATED EEG BASED SIGNAL ANALYSIS AND FEATURE EXTRACTION TECCHNIQUE
Forest
- 随机森林基于随机森林方法的异常样本检测方法方法根据相关文献提供的实验结果,将54株H5N1病毒株按其对哺乳动物的毒力强弱分为高毒力组和低毒力组,在NCBI Genbank数据库中下载HA基因序列,用随机森林模型完成主要变异氨基酸位点的筛选。-Random forestHigh-dimensional EEG features selection based on random forests algorithm Application of Random Forest on Selecti
EEG-cortical-imaging
- 我们推出基于矢量场正规化的方法通过扩散去噪拉普拉斯的数据，从而获得稳健估计。-We introduce a method based on vector field regularization through diffusion for denoising the Laplacian data and thus obtain robust estimation.
pro-all-1st-object
- psd of eeg signal.power spectral density of eeg. the eeg data is for the 20 year old person